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Journal articles on the topic 'Aerial photography Remote sensing'
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Mohamed Ali, Abbas Sayed Ahmed, and Ahmed Abu Al Qasim Al Hassan. "Remote Sensing and Its Uses in Archeology." Journal of Arts and Social Sciences [JASS] 2, no. 1 (January 1, 2011): 5. http://dx.doi.org/10.24200/jass.vol2iss1pp5-25.
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Aerial photography, remote sensing technique has been used as a tool for acquisition of archaeological information for several decades. At the turn of the twentieth century, archaeologists realized that valuable archaeological data could be extracted from aerial photos, thus it has been developed into a systematic discipline known as aerial archaeology. Though aerial photography has a long history of use, Satellite remote sensing is a recent discipline applied in detection, mapping and analysis of archaeological matter, providing that the spatial resolution of the sensor is adequate to detect the features. Both aerial photography and satellite imagery have advantages and limitations with regard to archaeological applications. In the last few years, combination of the two was found to be ideal for archaeological remote sensing applications. Remote sensing has increased in importance to archaeology, as being an important close integrator with Geographic Information Systems. Remote sensing and its kindred tool of GIS have become central elements of modern spatial information and analysis system in archaeology.
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Dando, R. C. A. "ROYAL PHOTOGRAPHIC SOCIETY ACTIVITIES IN AERIAL PHOTOGRAPHY AND REMOTE SENSING." Photogrammetric Record 14, no. 79 (August 26, 2006): 129–30. http://dx.doi.org/10.1111/j.1477-9730.1992.tb00212.x.
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Friedman, Richard A., Anna Sofaer, and Robert S. Weiner. "Remote Sensing of Chaco Roads Revisited." Advances in Archaeological Practice 5, no. 4 (September 12, 2017): 365–81. http://dx.doi.org/10.1017/aap.2017.25.
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ABSTRACTThis paper reports on the first and highly effective use of Light Detection and Ranging (lidar) technology to document Chaco roads, monumental linear surface constructions of the precolumbian culture that occupied the Four Corners region of the American Southwest between approximately AD 600 and 1300. Analysis of aerial photographs supplemented by ground survey has been the traditional methodology employed to identify Chaco roads, but their traces have become increasingly subtle and difficult to detect in recent years due to the impacts of natural weathering, erosion, and land development. Roads that were easily visible in aerial photography and on the ground in the 1980s are now virtually invisible, underscoring the need for new, cutting-edge techniques to detect and document them. Using three case studies of the Aztec Airport Mesa Road, the Great North Road, and the Pueblo Alto Landscape, we demonstrate lidar's unprecedented ability to document known Chaco roads, discover previously undetected road segments, and produce a precise quantitative record of these rapidly vanishing features.
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Amos, E. M., D. Blakeway, and C. D. Warren. "Remote Sensing Techniques in Civil Engineering Surveys." Geological Society, London, Engineering Geology Special Publications 2, no. 1 (1986): 119–24. http://dx.doi.org/10.1144/gsl.1986.002.01.26.
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AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.
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Mastelic, Toni, Josip Lorincz, Ivan Ivandic, and Matea Boban. "Aerial Imagery Based on Commercial Flights as Remote Sensing Platform." Sensors 20, no. 6 (March 17, 2020): 1658. http://dx.doi.org/10.3390/s20061658.
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Remote sensing is commonly performed via airborne platforms such as satellites, specialized aircraft, and unmanned aerial systems (UASs), which perform airborne photography using mounted cameras. However, they are limited by their coverage (UASs), irregular flyover frequency (aircraft), and/or low spatial resolution (satellites) due to their high altitude. In this paper, we examine the utilization of commercial flights as an airborne platform for remote sensing. Namely, we simulate a situation where all aircraft on commercial flights are equipped with a mounted camera used for airborne photography. The simulation is used to estimate coverage, the temporal and spatial resolution of aerial imagery acquired this way, as well as the storage capacity required for storing all imagery data. The results show that Europe is 83.28 percent covered with an average of one aerial photography every half an hour and a ground sampling distance of 0.96 meters per pixel. Capturing such imagery results in 20 million images or four petabytes of image data per day. More detailed results are given in the paper for separate countries/territories in Europe, individual commercial airlines and alliances, as well as three different cameras.
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Zhao, Ling Li, Shuai Liu, and Li Ma. "Data Acquisition Considering of Fixed-Wing UAVs in Mountainous Areas." Applied Mechanics and Materials 543-547 (March 2014): 2151–54. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2151.
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Over the past decade, there has been a great demand of Unmanned Aerial Vehicles (UAVs) in numerous industrial and military operations around the world. This paper is focused on low fixed-wing UAV remote sensing system, put remote sensing technology and UAV technology closely to fixed-wing unmanned aircraft as a platform, which is equipped with high-resolution digital remote sensing sensors, it has easy transition since the airport does not depend on landing site, it is a new low-speed high-resolution remote sensing data acquisition system. It has capability of a survey of real-time quick monitoring, and has been an effective complement to conventional means for satellite remote sensing and aerial photography.
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Chen, Rong. "Application of UAV-Low Altitude Remote Sensing System in Sea Area Supervision." Earth Sciences Research Journal 25, no. 1 (April 16, 2021): 65–68. http://dx.doi.org/10.15446/esrj.v25n1.94162.
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The sea area supervision is the premise and guarantee of safeguarding national security, protecting national sovereignty, and realizing the development of marine resources, and its importance is self-evident. To carry out the national sea area work more efficiently, this study designed low altitude-Unmanned Aerial Vehicles (UAV) remote sensing system applied to the sea area supervision and analyzed the remote sensing photography technology and remote sensing image processing technology. Experiments verified the effectiveness of the system. The research results show that the UAV-based low altitude remote sensing system can extract high-precision sea area information through aerial images’ interpretation. It is hoped that this study can provide some reference for improving the efficiency of current sea area supervision.
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Menges, R. M., P. R. Nixon, and A. J. Richardson. "Light Reflectance and Remote Sensing of Weeds in Agronomic and Horticultural Crops." Weed Science 33, no. 4 (July 1985): 569–81. http://dx.doi.org/10.1017/s0043174500082862.
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Plant canopy reflectance over the 0.45- to 1.25-μm wavelength (WL) of weed species and crops was recorded with a field spectroradiometer to evaluate the possible use of remote sensing to distinguish weeds from crops. Weed and weed-crop species reflectance differences were generally greater at the 0.85 μm WL in the near-infrared spectral region than at the 0.55 μm WL in the visible region, indicating that color infrared (CIR) aerial photography may be useful to detect weed populations in crops. Canopy reflectance data were more directly related to photographic differences in weed-crop images than were single leaf or inflorescence reflectance data. Aerial photography at altitudes of 610 to 3050 m distinguished climbing milkweed (Sarcostemma cyancboides♯ SAZCY) in orange [Citrus sinensis(L.) Osbeck. ‘Valencia’) trees; ragweed parthenium (Parthenium hysterophorusL. ♯ PTNHY) in carrot (Daucus carotaL., var.sativa‘Long Imperator’); johnsongrass [Sorghum halepense(L.) Pers. ♯ SORHA) in cotton (Gossypium hirsutumL. ‘CP 3774’) and in sorghum (Sorghum bicolorL. Moench. ‘Oro’); London rocket (Sisymbrium irioL. ♯ SSYIR) in cabbage; and Palmer amaranth (Amaranthus palmeriS. Wats. ♯ AMAPA) in cotton. Johnsongrass was also detectable with CIR film in maturing grain sorghum from 18 290 m. Detection of weed species in crops was aided by differential stages of inflorescence and senescence, and by the chlorophyll content, color, area, intercellular space, and surface characteristics of the leaves. Discrete plant community areas were determined by computer-based image analyses from a 1:8000-scale positive transparency with the efficiency of 82, 81, 68, and 100% for Palmer amaranth, johnsongrass, sorghum, and cotton, respectively. The computer analyses should permit discrete aerial surveys of weed-crop communities that are necessary for integrated crop management systems.
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Ermolin, Evgeniy, Hernán De Angelis, and Pedro Skvarca. "Mapping of permafrost on Vega Island, Antarctic Peninsula, using satellite images and aerial photography." Annals of Glaciology 34 (2002): 184–88. http://dx.doi.org/10.3189/172756402781817824.
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AbstractThe work presented deals with detailed mapping of permafrost in Devil Bay, Vega Island, northeastern Antarctic Peninsula. Mapping of landforms and permafrost features within a periglacial plain was performed using high resolution visible satellite images and aerial photography. Two maps of permafrost were produced: one based on analysis and interpretation of visible satellite imagery and another on low-altitude aerial photography, both yielding similar results. The principles of morphogenesis were applied to map production, distinguishing both the syncryogenic and epicryogenic formations and each constitutive cryofacies. The interpretation of remote-sensing data allowed areas of occurrence of particular cryogenic processes to be defined. Remote sensing was found to be useful for permafrost mapping at both medium and large scales, and applicable for future extension to other regions in Antarctica.
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Praseno, Djoko P., and Sukarno. "OBSERVATION ON BEACH EROSION AND CORAL DESTRUCTION BY REMOTE SENSING TECHNIQUES." Marine Research in Indonesia 17 (May 10, 2018): 59–68. http://dx.doi.org/10.14203/mri.v17i0.351.
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Remote sensing techniques were used to observe beach erosion at Sengkidu Beach, Labuan Amuk, east coast of Bali. Erosion was caused by wave actions flowing over destructed coral reef. Aerial photography was found useful in obtaining first hand information of the destructed corals and its affects on the beach.
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White, Lori, Robert A. Ryerson, Jon Pasher, and Jason Duffe. "State of Science Assessment of Remote Sensing of Great Lakes Coastal Wetlands: Responding to an Operational Requirement." Remote Sensing 12, no. 18 (September 16, 2020): 3024. http://dx.doi.org/10.3390/rs12183024.
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The purpose of this research was to develop a state of science synthesis of remote sensing technologies that could be used to track changes in Great Lakes coastal vegetation for the Great Lakes-St. Lawrence River Adaptive Management (GLAM) Committee. The mapping requirements included a minimum mapping unit (MMU) of either 2 × 2 m or 4 × 4 m, a digital elevation model (DEM) accuracy in x and y of 2 m, a “z” value or vertical accuracy of 1–5 cm, and an accuracy of 90% for the classes of interest. To determine the appropriate remote sensing sensors, we conducted an extensive literature review. The required high degree of accuracy resulted in the elimination of many of the remote sensing sensors used in other wetland mapping applications including synthetic aperture radar (SAR) and optical imagery with a resolution >1 m. Our research showed that remote sensing sensors that could at least partially detect the different types of wetland vegetation in this study were the following types: (1) advanced airborne “coastal” Airborne Light Detection and Ranging (LiDAR) with either a multispectral or a hyperspectral sensor, (2) colour-infrared aerial photography (airplane) with (optimum) 8 cm resolution, (3) colour-infrared unmanned aerial vehicle (UAV) photography with vertical accuracy determination rated at 10 cm, (4) colour-infrared UAV photography with high vertical accuracy determination rated at 3–5 cm, (5) airborne hyperspectral imagery, and (6) very high-resolution optical satellite data with better than 1 m resolution.
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Wu, Chunxue, Bobo Ju, Yan Wu, and Naixue Xiong. "SlimRGBD: A Geographic Information Photography Noise Reduction System for Aerial Remote Sensing." IEEE Access 8 (2020): 15144–58. http://dx.doi.org/10.1109/access.2020.2966497.
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He, Yuanrong, Weiwei Ma, Zelong Ma, Wenjie Fu, Chihcheng Chen, Cheng-Fu Yang, and Zhen Liu. "Using Unmanned Aerial Vehicle Remote Sensing and a Monitoring Information System to Enhance the Management of Unauthorized Structures." Applied Sciences 9, no. 22 (November 18, 2019): 4954. http://dx.doi.org/10.3390/app9224954.
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In this research, we investigated using unmanned aerial vehicle (UAV) photographic technology to prevent the further expansion of unauthorized construction and thereby reduce postdisaster losses. First, UAV dynamic aerial photography was used to obtain dynamic digital surface model (DSM) data and elevation changes of 2–8 m as the initial sieve target. Then, two periods of dynamic orthophoto images were superimposed for human–computer interaction interpretation, so we could quickly distinguish buildings undergoing expansion, new construction, or demolition. At the same time, mobile geographic information system (GIS) software was used to survey the field, and the information gathered was developed to support unauthorized construction detection. Finally, aerial images, interpretation results, and ground survey information were integrated and released on WebGIS to build a regulatory platform that can achieve accurate management and effectively prevent violations.
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Armstrong, Helen Jane, and Jimmie Lundgren. "Cataloging Aerial Photographs and Other Remote-Sensing Materials." Cataloging & Classification Quarterly 27, no. 1-2 (November 19, 1999): 165–227. http://dx.doi.org/10.1300/j104v27n01_08.
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Pitt, Douglas G., Robert G. Wagner, Ronald J. Hall, Douglas J. King, Donald G. Leckie, and Ulf Runesson. "Use of remote sensing for forest vegetation management: A problem analysis." Forestry Chronicle 73, no. 4 (August 1, 1997): 459–77. http://dx.doi.org/10.5558/tfc73459-4.
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Forest managers require accurate and timely data that describe vegetation conditions on cutover areas to assess vegetation development and prescribe actions necessary to achieve forest regeneration objectives. Needs for such data are increasing with current emphasis on ecosystem management, escalating silvicultural treatment costs, evolving computer-based decision support tools, and demands for greater accountability. Deficiencies associated with field survey methods of data acquisition (e.g. high costs, subjectivity, and low spatial and temporal coverage) frequently limit decision-making effectiveness. The potential for remotely sensed data to supplement field-collected forest vegetation management data was evaluated in a problem analysis consisting of a comprehensive literature review and consultation with remote sensing and vegetation management experts at a national workshop. Among curently available sensors, aerial photographs appear to offer the most suitable combination of characteristics, including high spatial resolution, stereo coverage, a range of image scales, a variety of film, lens, and camera options, capability for geometric correction, versatility, and moderate cost. A flexible strategy that employs a sequence of 1:10,000-, 1:5,000-, and 1:500-scale aerial photographs is proposed to: 1) accurately map cutover areas, 2) facilitate location-specific prescriptions for silvicultural treatments, sampling, buffer zones, wildlife areas, etc., and 3) monitor and document conditions and activities at specific points during the regeneration period. Surveys that require very detailed information on smaller plants (<0.5-m tall) and/or individual or rare plant species are not likely to be supported by current remote sensing technologies. Recommended areas for research include : 1) digital frame cameras, or other cost-effective digital imagers, as replacements for conventional cameras, 2) computer-based classification and interpretation algorithms for digital image data, 3) relationships between image measures and physical measures, such as leaf-area index and biomass, 4) imaging standards, 5) airborne video, laser altimeters, and radar as complementary sensors, and 6) remote sensing applications in partial cutting systems. Key words: forest vegetation management, regeneration, remote sensing, aerial photography
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Essery, Richard, Peter Bunting, Aled Rowlands, Nick Rutter, Janet Hardy, Rae Melloh, Tim Link, Danny Marks, and John Pomeroy. "Radiative Transfer Modeling of a Coniferous Canopy Characterized by Airborne Remote Sensing." Journal of Hydrometeorology 9, no. 2 (April 1, 2008): 228–41. http://dx.doi.org/10.1175/2007jhm870.1.
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Abstract Solar radiation beneath a forest canopy can have large spatial variations, but this is frequently neglected in radiative transfer models for large-scale applications. To explicitly model spatial variations in subcanopy radiation, maps of canopy structure are required. Aerial photography and airborne laser scanning are used to map tree locations, heights, and crown diameters for a lodgepole pine forest in Colorado as inputs to a spatially explicit radiative transfer model. Statistics of subcanopy radiation simulated by the model are compared with measurements from radiometer arrays, and scaling of spatial statistics with temporal averaging and array size is discussed. Efficient parameterizations for spatial averages and standard deviations of subcanopy radiation are developed using parameters that can be obtained from the model or hemispherical photography.
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Prisley, Stephen P., Jeffery A. Turner, Mark J. Brown, Erik Schilling, and Samuel G. Lambert. "Uncertainty of Forested Wetland Maps Derived from Aerial Photography." Photogrammetric Engineering & Remote Sensing 86, no. 10 (October 1, 2020): 609–17. http://dx.doi.org/10.14358/pers.86.10.609.
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Forested wetlands (FWs) are economically and environmentally important, so monitoring of change is done using remote sensing by several U.S. federal programs. To better understand classification and delineation uncertainties in FW maps, we assessed agreement between National Wetlands Inventory maps based on aerial photography and field determinations at over 16 000 Forest Inventory and Analysis plots. Analyses included evaluation of temporal differences and spatial uncertainty in plot locations and wetland boundaries. User's accuracy for the wetlands map was 90% for FW and 68% for nonforested wetlands. High levels of false negatives were observed, with less than 40% of field-identified wetland plots mapped as such. Epsilon band analysis indicated that if delineation of FW boundaries in the southeastern U.S. met the data quality standards (5 meters), then the area within uncertainty bounds accounts for 15% to 30% of estimated FW area.
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Umarhadi, Deha Agus, and Projo Danoedoro. "Comparing canopy density measurement from UAV and hemispherical photography: an evaluation for medium resolution of remote sensing-based mapping." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (February 1, 2021): 356. http://dx.doi.org/10.11591/ijece.v11i1.pp356-364.
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UAV and hemispherical photography are common methods used in canopy density measurement. These two methods have opposite viewing angles where hemispherical photography measures canopy density upwardly, while UAV captures images downwardly. This study aims to analyze and compare both methods to be used as the input data for canopy density estimation when linked with a lower spatial resolution of remote sensing data i.e. Landsat image. We correlated the field data of canopy density with vegetation indices (NDVI, MSAVI, and AFRI) from Landsat-8. The canopy density values measured from UAV and hemispherical photography displayed a strong relationship with 0.706 coefficient of correlation. Further results showed that both measurements can be used in canopy density estimation using satellite imagery based on their high correlations with Landsat-based vegetation indices. The highest correlation from downward and upward measurement appeared when linked with NDVI with a correlation of 0.962 and 0.652, respectively. Downward measurement using UAV exhibited a higher relationship compared to hemispherical photography. The strong correlation between UAV data and Landsat data is because both are captured from the vertical direction, and 30 m pixel of Landsat is a downscaled image of the aerial photograph. Moreover, field data collection can be easily conducted by deploying drone to cover inaccessible sample plots.
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Clevers, J. G. P. W. "Multispectral aerial photography as a supplemental technique in agricultural research." Netherlands Journal of Agricultural Science 36, no. 1 (February 1, 1988): 75–90. http://dx.doi.org/10.18174/njas.v36i1.16699.
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Narrow spectral bands in the visible and near IR were tested for use in remote sensing of agricultural field trials. Recordings of high spectral (25-100 nm bandwith), temporal (fortnightly) and spatial (+or-1msuperscript 2) resolution, were obtained using an airborne multispectral photographic (MSP) system. Calibrated reflectance factors of spring barley and spring wheat crops were obtained using atmospheric correction and radiometric calibration for reference targets in the field. LAI were estimated from spectral reflectance characteristics of cereals during the growing season for various treatments such as N nutrition and sowing date. Quantitative information was obtained in an objective and non-destructive mannner with greater precision by MSP than by conventional field sampling. (Abstract retrieved from CAB Abstracts by CABI’s permission)
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Trevoho, Ihor, Fedir Zablotskyi, Andrzej Piskorek, Bohdan Dzhuman, and Andriy Vovk. "GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY 93,2021, no. 93 (June 23, 2021): 13–26. http://dx.doi.org/10.23939/istcgcap2021.93.013.
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Purpose. The purpose of this work is obtaining connections between the Baltic and European height systems based on the I class leveling between the Ukrainian and Polish control points of the base vertical networks and construction of the quasigeoid surface on the border area. Method. Full integration of the hight system of Ukraine into the European vertical reference system (EVRS) consists of two stages: modernization of the height network of Ukraine through its integration into the United European leveling network UELN; construction and use as a regional vertical date the model of high-precision quasigeoid, which will be consistent with the European geoid EGG2015. The analysis of methods of high-precision leveling in Ukraine and Poland, and also the analysis of methods of construction of quasigeoid models in these countries is performed. Results. For integrating the Ukrainian hight system into the UELN/EVRS2000 system, the Ukrainian side performed I class geometric leveling along two lines: Lviv - Shehyni - Przemysl and Kovel - Yagodyn - Chelm with total length of 196 km. The root mean square systematic error on both lines of leveling was s<0.01 mm/km. In turn, the mean square random error along the line Lviv - Shehyni - Przemysl is h=0.29 mm/km, and along the line Kovel - Yagodyn - Chelm is h=0.27 mm/km. For double control on the cross-border part, the Polish side performed high-precision leveling with a length of 33 km. The differences between the Ukrainian and Polish leveling in all sections are within the tolerance. The analysis of influence of geodynamic phenomena on control of high-precision leveling is carried out. GNSS-leveling was performed on all fundamental and ground benchmarks, as well as horizontal marks. These measurements were used to build a quasigeoid model for the border area of Ukraine. The MSE of the obtained quasigeoid model is about 2 cm, which corresponds to the accuracy of the input information. Scientific novelty and practical significance. The connection of the Ukrainian and European height systems will ensure Ukraine’s integration into the European economic system, participation in international research of global ecological and geodynamic processes, study of the Earth’s shape and gravitational field and mapping of Ukraine using navigational and remote-sensing satellite technologies. Calculation of a high-precision model of a quasigeoid on the Ukraine area in relation to the European height system, agreed with the European geoid EGG2015, will allow to obtain gravity-dependent heights using modern satellite technologies.
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Tretyak, Kornyliy, and Ivan Brusak. "GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY." GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY 93,2021, no. 93 (June 23, 2021): 27–34. http://dx.doi.org/10.23939/istcgcap2021.93.027.
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Purpose. The purpose of this work is obtaining connections between the Baltic and European height systems based on the I class leveling between the Ukrainian and Polish control points of the base vertical networks and construction of the quasigeoid surface on the border area. Method. Full integration of the hight system of Ukraine into the European vertical reference system (EVRS) consists of two stages: modernization of the height network of Ukraine through its integration into the United European leveling network UELN; construction and use as a regional vertical date the model of high-precision quasigeoid, which will be consistent with the European geoid EGG2015. The analysis of methods of high-precision leveling in Ukraine and Poland, and also the analysis of methods of construction of quasigeoid models in these countries is performed. Results. For integrating the Ukrainian hight system into the UELN/EVRS2000 system, the Ukrainian side performed I class geometric leveling along two lines: Lviv - Shehyni - Przemysl and Kovel - Yagodyn - Chelm with total length of 196 km. The root mean square systematic error on both lines of leveling was s<0.01 mm/km. In turn, the mean square random error along the line Lviv - Shehyni - Przemysl is h=0.29 mm/km, and along the line Kovel - Yagodyn - Chelm is h=0.27 mm/km. For double control on the cross-border part, the Polish side performed high-precision leveling with a length of 33 km. The differences between the Ukrainian and Polish leveling in all sections are within the tolerance. The analysis of influence of geodynamic phenomena on control of high-precision leveling is carried out. GNSS-leveling was performed on all fundamental and ground benchmarks, as well as horizontal marks. These measurements were used to build a quasigeoid model for the border area of Ukraine. The MSE of the obtained quasigeoid model is about 2 cm, which corresponds to the accuracy of the input information. Scientific novelty and practical significance. The connection of the Ukrainian and European height systems will ensure Ukraine’s integration into the European economic system, participation in international research of global ecological and geodynamic processes, study of the Earth’s shape and gravitational field and mapping of Ukraine using navigational and remote-sensing satellite technologies. Calculation of a high-precision model of a quasigeoid on the Ukraine area in relation to the European height system, agreed with the European geoid EGG2015, will allow to obtain gravity-dependent heights using modern satellite technologies.
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Simanungkalit, Kristhoper, Muhammad Ridha Syafii Damanik, and Darwin Parlaungan Lubis. "Optimalisasi Foto Udara Unmanned Aerial Vehicle (UAV) Sebagai Media Pembelajaran Penginderaan Jauh." Tunas Geografi 8, no. 1 (November 29, 2019): 45. http://dx.doi.org/10.24114/tgeo.v8i1.15507.
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AbstractThis study aims (1) To find out how the accuracy of Unmanned Aerial Vehicle (UAV) aerial image quality using the Omission-Commission method. (2) How to use UAV aerial imagery as remote sensing learning media when viewed from the aspects of media feasibility, material worthiness, and student response. This research was conducted at the Medan State University Campus located at Jalan William Iskandar, Pasar V, Medan Estate Village, Medan North Sumatra. This location was chosen based on strategic location considerations for mapping. The results of this study indicate that the quality of the level of precision aerial photographs obtained from aerial photography results in the level of precision aerial photographs reaching above 95% with excellent categories, and aerial photographs obtained are more inclined towards omission which is influenced by the camera distortion factor , and the feasibility of UAV aerial photography learning media in terms of the aspects of the feasibility of the media achieving an assessment score of 85%, the feasibility aspects of the Material achieving an assessment score of 85% and, the results of the feasibility of instructional media based on material experts and media experts reach a score level of 85% and deserve to be used as a medium learning. The results of student responses obtained received an 89% assessment score, which results from the assessment of student responses that have been said to be good.Keywords: UAV, Remote Sensing, Unimed, Learning Media AbstrakPenelitian ini bertujuan (1) Untuk mengetahui bagaimana kualitas akurasi citra foto udara Unmanned Aerial Vehicle (UAV) dengan menggunakan metode Omisi-Komisi. (2) Bagaimana pemanfaatan citra foto udara UAV sebagai media pembelajaran penginderaan jauh bila di lihat dari aspek kelayakan media, kelayakan materi, dan respon mahasiswa. Penelitian ini dilaksanakan di Kampus Universitas Negeri Medan terletak di Jalan William Iskandar, Pasar V, Kelurahan Medan Estate, Medan Sumatera Utara. Lokasi ini dipilih atas pertimbangan lokasi yang strategis untuk melakukan pemetaan. Hasil penelitian ini menunjukkan bahwa Kualitas tingkat presisi foto udara yang didapatkan dari hasil pemotretan foto udara menghasilkan tingkat presisi foto udara mencapai diatas 95% dengan kategori sangat baik, dan foto udara yang didapatkan lebih condong ke arah omisi yang mana hal ini dipengaruhi oleh faktor distorsi kamera, dan Kelayakan media pembelajaran foto udara UAV ditinjau dari aspek kelayakan Media mencapai skor penilaian 85%, Aspek kelayakan Materi mencapai skor penilaian 85% dan, hasil dari kelayakan media pembelajaran berdasarkan ahli materi dan ahli media mencapai tingkat skor 85% dan layak dijadikan sebagai media pembelajaran. hasil respon mahasiswa yang didapatkan mendapat skor penilaian 89% yang mana hasil dari penilaian respon mahasiswa sudah dikatakan bagus.Kata Kunci: UAV, Penginderaan Jauh, Unimed, Media Pembelajaran
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Everitt, J. H., D. E. Escobar, D. N. Appel, W. G. Riggs, and M. R. Davis. "Using Airborne Digital Imagery for Detecting Oak Wilt Disease." Plant Disease 83, no. 6 (June 1999): 502–5. http://dx.doi.org/10.1094/pdis.1999.83.6.502.
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Color-infrared (CIR) digital imagery was evaluated as a remote sensing tool for detecting oak wilt disease in live oak (Quercus fusiformis). Aerial CIR digital imagery and CIR photography were obtained concurrently of a live oak forested area in south-central Texas affected by oak wilt. Dead, diseased, and healthy live oak trees could generally be delineated as well in the digital imagery as in the CIR photography. Light reflectance measurements obtained in the field showed that dead, diseased, and healthy trees had different visible and near-infrared reflectance values.
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Szatmári, József, Zalán Tobak, and Zsolt Novák. "Environmental Monitoring Supported by Aerial Photography – a Case Study of the Burnt Down Bugac Juniper Forest, Hungary." Journal of Environmental Geography 9, no. 1-2 (June 1, 2016): 31–38. http://dx.doi.org/10.1515/jengeo-2016-0005.
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Abstract Wildfire poses a serious risk in several regions of the world threatening urban, agricultural areas and natural ecosystems as well. Nature conservation has important role to be prepared for the management of postfire environmental degradation and restoration for protected areas preserving valuable ecosystems. The improving temporal and spatial resolution of remote sensing and GIS methods significantly contributes to map the changes for accelerating management steps of restoration. In this study a severe wildfire and its impacts were assessed in case of a protected area of the Kiskunság National Park in Hungary, which was partly burnt down in 2012. The aim of this research was to efficiently and accurately assess the damages and to plan and execute the restoration works using remote sensing tools. Aerial data collection was performed one month, and one year after the fire. In 2014 the regenerated vegetation was surveyed and mapped in the field. Using the aerial photographs and the field data, the degree and extent of the fire damages, the types and the state of the vegetation and the presence and proportion of the invasive species were determined. Semi-automatic methods were used for the classification of completely, partially damaged and undamaged areas. Based on the results, the reforestation of the burnt area is suggested to prevent the overspreading of white poplar against common junipers and to clean the area from the most frequent invasive species. To monitor the regeneration of the vegetation and the spreading of the invasive species, further aerial photography and field campaigns are planned.
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Widartono, Barandi Sapta, Muchsin Nur Wachid, Deha Agus Umarhadi, Anggini Nur Azizah, and Restu Dwi Cahyo. "Kite Aerial Photography (KAP) for rip current identification in Parangtritis Beach." E3S Web of Conferences 76 (2019): 03005. http://dx.doi.org/10.1051/e3sconf/20197603005.
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Rip current is being the major cause of the deadly accidents in Parangtritis Beach. This occasion can be prevented by mapping and monitoring the spatial pattern of rip currents at the location which rip currents are located. Rip current location can be identified by remote sensing data or aerial observations, such as Kite Aerial Photography (KAP). This platform is low cost and can be performed in coastal area due to the massive winds there. KAP has been widely used as the platform for mapping, and some of them are implemented in coastal area. This study aims to find out the ability of Kite aerial photography to identify the rip current location in Parangtritis Beach. From several flight tests, the photo mosaic of Parangtritis Beach has been generated after the KAP has flown at the minimum 3 m/s of the wind speed. KAP can be the great potentials in coastal monitoring, especially for rip current monitoring because it is low-cost, low-energy and provides actual information.
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Vásconez, Norma Lara, and Hernán Chamorro Sevilla. "Uso De Los Sensores Remotos En Mediciones Forestales." European Scientific Journal, ESJ 14, no. 15 (May 31, 2018): 58. http://dx.doi.org/10.19044/esj.2018.v14n15p58.
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To understand the use of remote sensors in forestry measurements, some of the most relevant definitions have been taken from a wide variety that currently exist, therefore, we will say that these generally play a predominant role in the Dasometry and that all The forest resource requires qualitative and quantitative information regarding the state of the forest and its evolution over time, with sampling that follows one of the existing methods. Historically, modern discipline arises with the invention of flight and the first photographs are obtained from a balloon in the years 1858 and 1859, in 1909 and on board the airplane the first photographic observation is acquired. The first aerial camera was developed in 1915 by J.T.C. Moore, starting the interesting way forward in the techniques of aerial photography using modified combat aircraft giving way to what was called systematic aerial photography in the late 50s. The development on a global scale of the first artificial satellites, allowed remote sensing in the middle of the 20th century on board the first satellite placed in orbit is that of the TYROS series in 1960 by NASA, becoming the pioneer in missions of meteorological observation, which also led to the appearance of satellite image processing, using mathematical procedures such as the Fourier transform. During the 70s missions were promoted with the objective of exploring the solar system and the moon; giving rise to the first spatial photographs taken by Alan B. Shepard rudimentary, Subsequently, Apollo-9 was used for the first multi-spectral experiment in which 4 Hasselblad cameras with different filters were installed. On July 23, 1972, the Landsat project appeared with the launch of the first satellite of the ERTS series (Earth Resources Technology Satellite). Google Earth in the 21st century, introduces online web services making remote sensing accessible to all audiences, with many techniques and processes that allow an image of the earth's surface to be obtained remotely captured by remote sensors located on satellites or airplanes that gather the spectral and spatial relations of objects. Interferometric radar synthetic aperture They are used to producing accurate digital models of large areas of land. LiDAR(An acronym for the English Light Detection and Ranging) is a monochrome active sensor, its mode of operation consists of measuring the distance between the sensor and the target. It is less expensive compared to manual inventory is multi-purpose, allows a complete survey of the study area, is more efficient than photogrammetry. The multi-spectral acquisition is based on the collection and analysis of areas or objects that emit or reflect radiation at a higher level than nearby objects. The quality of the information collected remotely, once the correction of errors through georeferencing with the help of specialized programs, will depend on their resolutions: spatial, spectral, radiometric and temporal.
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Leckie, Donald G. "Advances in remote sensing technologies for forest surveys and management." Canadian Journal of Forest Research 20, no. 4 (April 1, 1990): 464–83. http://dx.doi.org/10.1139/x90-063.
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Canadian forest management has had a long history of developing and implementing remote sensing technology and is a major user of remote sensing. Despite difficulties in developing and implementing new digital remote sensing techniques, several key developments in Canadian forest management and in remote sensing and computer technology make the development and implementation of new remote sensing techniques at this time feasible and appropriate. Integration of different remote sensing technologies, remote sensing data with other information sources through geographic information systems, and remote sensing interpretations with forest management systems and practices are critical. Current capabilities and new advances in remote sensing technology for forest survey (excluding forest damage assessment) are discussed. Satellite imagery is a cost-effective tool for broad forest type mapping. New satellite systems improve this capability, but their major impact will be in inventories for new clear-cut and burned areas. Advances in linear array imager technology and lidar systems may lead to development of an end to end inventory mapping system. This system would provide an alternative to aerial photography and current mapping methods and could revolutionize the way forests are inventoried. Imaging spectrometry is a new technology with applications in damage assessment, but as yet has limited potential for assisting in other forest surveys. Spaceborne imaging radar systems are being developed for the 1990s. These systems can produce imagery under cloudy conditions. Their major impact on forestry will be to provide an alternative to visible-infrared satellite data for inventory update.
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Залецкий, Александр, Aleksandr Zaletskiy, Алексей Флоров, Aleksey Florov, Роман Урванцев, and Roman Urvantsev. "INVESTIGATIONS OF COST-EFFECTIVENESS IN REMOTE SENSING APPLICATION BASED ON PILOTLESS AVIATION SYSTEMS FOR MANAGEMENT AND MONITORING TOWN NEEDS." Bulletin of Bryansk state technical university 2016, no. 3 (September 30, 2016): 292–98. http://dx.doi.org/10.12737/22134.
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In the paper is considered a possibility of remote sensing application on the basis of pilotless aviation systems for management and monitoring needs and the substantiation of costeffectiveness of these measures. The investigation is based on the own long-term skill of practical operation of Supercam pilotless air-survey complexes and also on the analysis of mar-ket and cases with the successful use of results of the Earth pilotless remote sensing for town needs. A current market of the Earth pilotless remote sensing in Russia, suppliers and consumers of this service are analyzed. Besides, in this paper are considered kinds of payload specified for a pilotless vehicle (PV) for the Earth remote sensing, potentialities of modern systems. There is carried a computation of costs for the formation of a data support department of remote sensing with PV and assurance of its functioning in the course of a year for needs of a municipal district. An example of the successful use of pilotless aerial photography for the needs of the Zvenigorod municipal formation. The cost-effectiveness of new technology introduction is proved. The data advantages of the Earth remote sensing with high resolution for effective management so-lution-making in municipal formations are shown.
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Jabs-Sobocińska, Zofia, Andrzej N. Affek, Ireneusz Ewiak, and Mihai Daniel Nita. "Mapping Mature Post-Agricultural Forests in the Polish Eastern Carpathians with Archival Remote Sensing Data." Remote Sensing 13, no. 10 (May 20, 2021): 2018. http://dx.doi.org/10.3390/rs13102018.
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Post-WWII displacements in the Polish Carpathians resulted in widespread land abandonment. Most of the pre-war agricultural areas are now covered with secondary forests, which will soon reach the felling age. Mapping their exact cover is crucial to investigate succession–regeneration processes and to determine their role in the landscape, before making management decisions. Our goal was to map post-agricultural forests in the Polish Eastern Carpathians using archival remote sensing data, and to assess their connectivity with pre-displacement forests. We used German Flown Aerial Photography from 1944 to map agricultural lands and forests from before displacements, and Corona satellite images to map agricultural lands which converted into the forest as a result of this event. We classified archival images using Object-Based Image Analysis (OBIA) and compared the output with the current forest cover derived from Sentinel-2. Our results showed that mature (60–70 years old) post-agricultural forests comprise 27.6% of the total forest area, while younger post-agricultural forests comprise 9%. We also demonstrated that the secondary forests fill forest gaps more often than form isolated patches: 77.5% of patches are connected with the old-woods (forests that most likely have never been cleared for agriculture). Orthorectification and OBIA classification of German Flown Aerial Photographs and Corona satellite images made it possible to accurately determine the spatial extent of post-agricultural forest. This, in turn, paves the way for the implementation of site-specific forest management practices to support the regeneration of secondary forests and their biodiversity.
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Smirnov, J. "Analytical review of remote sensing data sources suitable for mapping of land resource in Chernivtsi region." Visnyk of the Lviv University. Series Geography, no. 46 (December 26, 2013): 331–38. http://dx.doi.org/10.30970/vgg.2013.46.1499.
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In the article described the sources of remote sensing data and analyzed their suitability for involvement in the process Chernivtsi region land resources mapping. Taken into account space surveying systems of different spatial resolution and aerial photographic surveys. As a result, have been identified the best sources of data that can be used in the Chernivtsi region land resources mapping. Key words: land resources, remote sensing, satellite imagery, mapping of land resources, sources of remote sensing data.
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Koch, Barbara. "Stand und Perspektiven der Nutzung neuer Fernerkundungstechnologien im Waldbereich | Status and perspectives of the application of new remote sensing technologies in forestry." Schweizerische Zeitschrift fur Forstwesen 162, no. 6 (June 1, 2011): 156–63. http://dx.doi.org/10.3188/szf.2011.0156.
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Remote sensing has been used in forestry for a long time. Aerial photography has mainly been used to support national and operational inventories and medium resolution satellite data for large area inventories. Today through the availability of new technologies there are greatly extended possibilities for remote sensing in the forestry sector. The major change is the better availability of 3-D information, which allows a much better modelling of forests and forest attributes. The paper presents an overview of the newest remote sensing technologies, such as the systems carried by satellite which can be used to record changes or degradation in the area covered by forest for the global forestry resources assessment of the UN World Food and Agriculture Organisation or are examined in connection with the United Nations REDD program. Besides these, other small scale applications are presented based on optical or laser systems carried by aircraft. The article finishes with an outlook on expected developments in the near future. It is expected that the future of forestry remote sensing will be characterized above all by the combination of information obtained from diverse sources, such as data based on terrestrial and on remotely sensed sources.
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K.C., Kiran, and Krishna Pahari. "A Study on Squatter Settlements of Kathmandu Using GIS, Aerial Photography, Remote Sensing and Household Survey." Journal on Geoinformatics, Nepal 10 (June 30, 2011): 1–8. http://dx.doi.org/10.3126/njg.v10i0.23186.
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The study was done to explore various issues facing by the squat dwellers of two densely populated squatter settlements of the Kathmandu valley (Manohara and Thapathali). A series of temporal satellite imageries along with orthophoto were analyzed and mapped focusing the food security and their livelihood conditions, sanitary and hygienic conditions and the flood hazard assessment. The study revealed that there has been a drastic landuse change in the Manohara area as compared to the Thapathali one. The squatter settlement that currently exists is found to have been in the flood plain. The household survey has disclosed that a majority of squatters who have settled in these places belong to Janajatis and they have mainly migrated from the hilly region and the surrounding districts of the Kathmandu valley. Besides, drinking water tested from both of the areas is contaminated with high concentration of Nitrate and Coliform. Hygienic conditions are also very poor as toilets lie along the river banks resulting in the depletion of the river quality and the scenic beauty of the surrounding environment. The community-based flood hazard mapping done with the GPS survey has revealed that all the settlements from both of the areas had been inundated in the month of July in 2009. In both area, people are deprived of basis amenities and they have been neglected by the concerned government authorities. Adequate research on scientific basic is an urgent need so as to draft a clear cut specific policy that can address their issues and stop environmental deterioration, destruction of beautiful green grassland and the sanitary conditions.
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Roslim, Muhammad Huzaifah Mohd, Abdul Shukor Juraimi, Nik Norasma Che’Ya, Nursyazyla Sulaiman, Muhammad Noor Hazwan Abd Manaf, Zaid Ramli, and Mst Motmainna. "Using Remote Sensing and an Unmanned Aerial System for Weed Management in Agricultural Crops: A Review." Agronomy 11, no. 9 (September 8, 2021): 1809. http://dx.doi.org/10.3390/agronomy11091809.
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Weeds are unwanted plants that can reduce crop yields by competing for water, nutrients, light, space, and carbon dioxide, which need to be controlled to meet future food production requirements. The integration of drones, artificial intelligence, and various sensors, which include hyperspectral, multi-spectral, and RGB (red-green-blue), ensure the possibility of a better outcome in managing weed problems. Most of the major or minor challenges caused by weed infestation can be faced by implementing remote sensing systems in various agricultural tasks. It is a multi-disciplinary science that includes spectroscopy, optics, computer, photography, satellite launching, electronics, communication, and several other fields. Future challenges, including food security, sustainability, supply and demand, climate change, and herbicide resistance, can also be overcome by those technologies based on machine learning approaches. This review provides an overview of the potential and practical use of unmanned aerial vehicle and remote sensing techniques in weed management practices and discusses how they overcome future challenges.
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Larsen, Eric, and William Ripple. "Remote Sensing of Aspen Change in Northern Yellowstone National Park." UW National Parks Service Research Station Annual Reports 21 (January 1, 1997): 121–29. http://dx.doi.org/10.13001/uwnpsrc.1997.3339.
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We combined remote sensing with field surveys to compare the status of aspen on Yellowstone National Parks' (YNP) northern range with adjacent areas in the Gallatin and Shoshone National Forests. Photographic enlargements from historic aerial photographs were paired with same scale enlargements of 1992 aerial photos to quantify the change in aspen and conifer canopy coverage in the study areas. In YNP aerial photographs from the years 1954 and 1992 were used to quantify change while photographs from 1958 and 1992 were used in the Shoshone and Gallatin National Forests. Vegetation was classified as either aspen, conifer or steppe and changes in canopy coverage were calculated for the time period. The data are being aggregated by area and changes in YNP conditions are being compared to changes in the Gallatin and Shoshone National Forests. In the field 2x30 meter transects provided data on aspen overstory density, size class, degree of browsing pressure on ramets, and bark stripping of mature trees. The field transects also provided information on the size and intensity of conifer encroachment in aspen stands. Aspen cores are being collected to provide age information. Our data set is not yet complete and the results must be considered preliminary but we are observing differences between YNP and the adjoining areas. Based on the diameter at breast height (dbh) measurements collected in the 1997 field season, aspen in the Clarks Fork of the Yellowstone and Sunlight basins (Shoshone National Forest) have a younger and more varied age class distribution than YNP's northern range. Over 99% of overstory aspen measured in the YNP transects are in the largest size class ( >20 cm dbh), a significantly higher percentage than in either the Clarks Fork or Sunlight Basin areas. Mortality as measured by the ratio of dead to live aspen stems was greatest in the Clarks Fork area, where dead trees comprised 36% of the total number of aspen. Conifer encroachement is greater in the Shoshone National Forest than YNP but a large percentage of conifers in all study areas are in the smallest size class. Ramet densities averaged 4067-5730 shoots/ha in YNP and the Shoshone National Forest, comparable to other undisturbed stands in the Rocky Mountains. We present here results primarily from the 1997 field season. The remaining field work is scheduled to be completed during the 1998 field season, including all of the work in the Gallatin National Forest. The full results will be available upon completion of data analysis and the integration of the remote sensing and field data.
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Deguchi, C., and S. Sugio. "Estimations for Percentage of Impervious Area by the Use of Satellite Remote Sensing Imagery." Water Science and Technology 29, no. 1-2 (January 1, 1994): 135–44. http://dx.doi.org/10.2166/wst.1994.0659.
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This study aims to evaluate the applicability of satellite imagery in estimating the percentage of impervious area in urbanized areas. Two methods of estimation are proposed and applied to a small urbanized watershed in Japan. The area is considered under two different cases of subdivision; i.e., 14 zones and 17 zones. The satellite imageries of LANDSAT-MSS (Multi-Spectral Scanner) in 1984, MOS-MESSR(Multi-spectral Electronic Self-Scanning Radiometer) in 1988 and SPOT-HRV(High Resolution Visible) in 1988 are classified. The percentage of imperviousness in 17 zones is estimated by using these classification results. These values are compared with the ones obtained from the aerial photographs. The percent imperviousness derived from the imagery agrees well with those derived from aerial photographs. The estimation errors evaluated are less than 10%, the same as those obtained from aerial photographs.
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Kadhim, Israa, and Fanar Abed. "The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England." ISPRS International Journal of Geo-Information 10, no. 1 (January 19, 2021): 41. http://dx.doi.org/10.3390/ijgi10010041.
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With the increasing demands to use remote sensing approaches, such as aerial photography, satellite imagery, and LiDAR in archaeological applications, there is still a limited number of studies assessing the differences between remote sensing methods in extracting new archaeological finds. Therefore, this work aims to critically compare two types of fine-scale remotely sensed data: LiDAR and an Unmanned Aerial Vehicle (UAV) derived Structure from Motion (SfM) photogrammetry. To achieve this, aerial imagery and airborne LiDAR datasets of Chun Castle were acquired, processed, analyzed, and interpreted. Chun Castle is one of the most remarkable ancient sites in Cornwall County (Southwest England) that had not been surveyed and explored by non-destructive techniques. The work outlines the approaches that were applied to the remotely sensed data to reveal potential remains: Visualization methods (e.g., hillshade and slope raster images), ISODATA clustering, and Support Vector Machine (SVM) algorithms. The results display various archaeological remains within the study site that have been successfully identified. Applying multiple methods and algorithms have successfully improved our understanding of spatial attributes within the landscape. The outcomes demonstrate how raster derivable from inexpensive approaches can be used to identify archaeological remains and hidden monuments, which have the possibility to revolutionize archaeological understanding.
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Champoux, André, and C. S. L. Ommanney. "Evolution of the Illecillewaet Glacier, Glacier National Park, B.C., Using Historical Data, Aerial Photography and Satellite Image Analysis." Annals of Glaciology 8 (1986): 31–33. http://dx.doi.org/10.1017/s0260305500001087.
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The Illecillewaet Glacier (British Columbia) has been surveyed in a variety of ways since the end of the 19th century. A summary of the different information - archive photographs, field surveys, photo-interpretation, and remote sensing - reveals that between 1887 and 1962, the glacier had retreated more than one kilometre. However, since 1972, it has advanced about 100 m. The techniques used and the results are discussed.
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Champoux, André, and C. S. L. Ommanney. "Evolution of the Illecillewaet Glacier, Glacier National Park, B.C., Using Historical Data, Aerial Photography and Satellite Image Analysis." Annals of Glaciology 8 (1986): 31–33. http://dx.doi.org/10.3189/s0260305500001087.
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The Illecillewaet Glacier (British Columbia) has been surveyed in a variety of ways since the end of the 19th century. A summary of the different information - archive photographs, field surveys, photo-interpretation, and remote sensing - reveals that between 1887 and 1962, the glacier had retreated more than one kilometre. However, since 1972, it has advanced about 100 m. The techniques used and the results are discussed.
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Quincey, D. J., R. M. Lucas, S. D. Richardson, N. F. Glasser, M. J. Hambrey, and J. M. Reynolds. "Optical remote sensing techniques in high-mountain environments: application to glacial hazards." Progress in Physical Geography: Earth and Environment 29, no. 4 (December 2005): 475–505. http://dx.doi.org/10.1191/0309133305pp456ra.
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Remote sensing studies have shown that glaciers and their proximal environments exhibit unique temporal, spatial and spectral characteristics that can be analysed to better quantify glacial hazard potential. In this review, the optical remote sensing data sources available to glacial hazard assessors are considered and the range of information on glacial environments that can be derived is analysed. The review shows that the integration of a variety of data sources can provide geoscientists with information regarding glacial lakes and lake development, glacier dynamics, avalanche sources and ice-marginal fluctuations. Such data can be used to complement and, in many cases, improve field-based glacial hazard assessments. The review concludes that aerial photography still remains the main source of data for measuring a number of glacier characteristics, but that fine to moderate spatial resolution satellite sensors (e.g., ASTER, SPOT 5 HRVIR, Landsat ETM) also provide useful information that can be used to support the assessment of hazards in high-mountain glacierized terrain.
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Wulan, Theresia Retno, Wiwin Ambarwulan, Anggara S. Putra, Mega D. Putra, Dwi Maryanto, Ferrari Pinem, and Edwin Maulana. "Pemetaan Cepat Kawasan Terdampak Bencana Longsor dan Banjir di Kabupaten Bangli, Provinsi Bali." Majalah Geografi Indonesia 31, no. 2 (December 4, 2017): 44. http://dx.doi.org/10.22146/mgi.26230.
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Abstrak Teknologi penginderaan jauh mengalami perkembangan yang sangat pesat. Salah satunya adalah teknologi akuisisi data dengan menggunakan UAV (Unmanned Aerial Vehicle). Teknologi UAV dapat dipergunakan dalam berbagai bidang, salah satunya adalah bidang kebencanaan. Tujuan penelitian ini adalah untuk melakukan pemetaan secara cepat kawasan terdampak bencana banjir dan longsor di Kabupaten Bangli, Bali dengan menggunakan teknologi UAV. Metode yang digunakan adalah pemotretan udara dengan UAV, survei lapangan dan analisis laboratorium. Pemotretan udara dilakukan satu hari pasca kejadian longsor dengan ketinggian jelajah pesawat antara 100-120 meter di atas permukaan tanah. Resolusi spasial yang dihasilkan antara 4,5 - 6,5 cm. Wilayah yang berhasil dipetakan adalah wilayah yang terdampak banjir dan longsor di Desa Songan A serta Songan B, wilayah terdampak banjir bandang Yeh Mampeh di Desa Batur Selatan, serta wilayah terdampak longsor di Desa Sukawana dan Desa Awan. Berdasarkan hasil pemotretan udara, dapat diketahui luasan daerah terdampak longsor. Lebih lanjut, strategi rehabilitasi dan rekonstruksi dapat dilakukan dengan menggunakan hasil pemotretan udara. Abstrak Remote sensing technology is experiencing rapid developments. One of which is in the field of data acquisition that has currently adopted the use of Unmanned Aerial Vehicle (UAV). UAV technology is, for instance, employed in various studies related to disasters. This research aimed to perform a rapid mapping of flood- and landslide-affected areas in Bangli Regency, Bali using UAV technology. The applied methods included UAV-assisted aerial photography, field survey, and laboratory analysis. The aerial photography was conducted one day after the landslide event and at a recording altitude of 100-120 m above the ground. The spatial resolution produced in the photography was 4.5-6.5 cm. The mapped areas were the ones affected by floods and landslides in Songa A and Songa B Villages, flash floods in Yeh Mampeh, Batur Selatan Village, and landslides in Sukawana and Awan Villages. The aerial photography also provided the extent of the landslide-affected areas. Therefore, the post-disaster rehabilitation and reconstruction strategies can be implemented using the results of the aerial photography.
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Wright, G. G., K. B. Matthews, W. M. Cadell, and R. Milne. "Reducing the cost of multi-spectral remote sensing: combining near-infrared video imagery with colour aerial photography." Computers and Electronics in Agriculture 38, no. 3 (March 2003): 175–98. http://dx.doi.org/10.1016/s0168-1699(02)00141-2.
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Acker, J. G., C. W. Brown, A. C. Hine, E. Armstrong, and N. Kuring. "Satellite remote sensing observations and aerial photography of storm-induced neritic carbonate transport from shallow carbonate platforms." International Journal of Remote Sensing 23, no. 14 (January 2002): 2853–68. http://dx.doi.org/10.1080/01431160110106122.
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Razakova, Maira, Alexandr Kuzmin, Igor Fedorov, Rustam Yergaliev, and Zharas Ainakulov. "Methods of calculating landslide volume using remote sensing data." E3S Web of Conferences 149 (2020): 02009. http://dx.doi.org/10.1051/e3sconf/202014902009.
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The paper considers the issues of calculating the volume of the landslide from remote sensing data. The main methods of obtaining information during research are field observations. The most important results of field studies are quantitative estimates, such as the volume of the embankment resulting from a landslide, morphometric indicators, etc. The study of a remote and remote object was carried out by remote methods using aerial photographs in the Ile Alatau foothills at 1,600 meters above sea level. The obtained materials from the mudflow survey will be useful in developing solutions to mitigate the effects of disasters and in the design of measures for engineering protection from landslides.
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Kääb, Andreas, Frank Paul, Max Maisch, Martin Hoelzle, and Wilfried Haeberli. "The new remote-sensing-derived Swiss glacier inventory: II. First results." Annals of Glaciology 34 (2002): 362–66. http://dx.doi.org/10.3189/172756402781817473.
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AbstractComplete Swiss glacier inventories are available for 1850 (reconstructed) and 1973 (from aerial photography). Connected to the Global Land Ice Measurements from Space project, a new Swiss glacier inventory for approximately the year 2000 (SGI 2000) is compiled mainly based on satellite imagery. The developed and applied remotesensing and geographical information system (GIS) methods are described in part I of the contribution. In part II, the inventory design, first-result analyses and comparisons with former glacial conditions are presented. As basic entries SGI 2000 contains the individual glacier identification, planimetric glacier boundaries as derived from image analysis, digitized central flowlines and polygonal glacier basin maps. All other parameters are automatically deduced from the above entries and a digital elevation model within a GIS. Here, we analyze a set of small Bernese and Valais glaciers of area <10 km2. These glaciers lost about 21% of area from 1973 to 1998, in addition to about 80% during 1850–1973, both with respect to the 1973 area. In order to track the latest trend in more detail, anintermediate glacier condition has been compiled from satellite imagery of 1985. This analysis gave an increasing speed of area loss (19%) for 1985–98.
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Legleiter, Carl, and Brandon Overstreet. "Measuring the Morphology and Dynamics of the Snake River by Remote Sensing." UW National Parks Service Research Station Annual Reports 35 (January 1, 2012): 97–108. http://dx.doi.org/10.13001/uwnpsrc.2012.3939.
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The Snake River is an essential feature of Grand Teton National Park, and this dynamic fluvial system maintains diverse habitats while actively shaping the landscape. The complex, ever-changing nature of the river make effective characterization difficult, however; traditional field methods are illsuited for this task. Remote sensing provides an appealing alternative that could facilitate resource management while providing novel insight on the controls of channel form and behavior. This study continued our ongoing assessment of the potential to measure the morphology and dynamics of large, complex rivers such as the Snake via remote sensing (Figure 1). More specifically, we acquired hyperspectral images and bathymetric LiDAR data in August 2012 and are now comparing the depth retrieval capabilities of these sensors; in situ observations of water column optical properties inform this analysis as well. In addition to bathymetry, we are investigating the feasibility of using these data to infer bottom reflectance and hence delineate various substrates, such as gravel and submerged aquatic vegetation. Another new aspect of our research focuses on estimating flow velocities from the hyperspectral images and high-resolution digital aerial photography acquired simultaneously. Extensive field measurements of velocity will help us develop this approach. Similarly, measurements of sediment grain size on exposed bar surfaces will be used to assess whether particle size can be inferred from the highresolution photography. Remotely sensed data also are being used to identify areas of erosion and deposition and hence quantify the sediment flux associated with changes in channel morphology. Additional hyperspectral and bathymetric LiDAR data will be acquired in 2013, along with field measurements of depth, velocity, and bottom type.
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Porwal, Mahesh C., and Parth S. Roy. "Attempted Understorey Characterization Using Aerial Photography in Kanha National Park, Madhya Pradesh, India." Environmental Conservation 18, no. 1 (1991): 45–50. http://dx.doi.org/10.1017/s0376892900021299.
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Remote sensing is being widely used in the fields of resource management, planning, and wildlife habitat evaluation. Canopy cover-type mapping has been done in most of the bioclimatic zones of India and widely abroad, using aerial photointerpretation techniques. In the present study an attempt has been made to develop a methodology for mapping understorey vegetation in part of Kanha National Park, using 1:10,000-scale black-and-white aerial photographs.The Park, one of the best for Tiger (Felis tigris) visibility and observation of other large carnivores and herbivores, has been mapped, with subdivision into 11 vegetation cover-classes and four density-classes, using aerial photographs, and each class has been visited in the field for understorey information concerning different physiographic units. Each category of canopy-cover was sampled in the field, and tree base-cover per hectare has been estimated.Vertical profiles have also been drawn in the main vegetation classes in order to understand the occurrence of understorey vegetation. It was found that a physiographic analysis coupled with canopy-cover type and density, with appropriate sampling in the individual vegetation strata, have together proved indicative of understorey vegetationtype. When the relationship between understorey vegetation and canopy-cover type is established, one can directly depict understorey limits spatially in conjunction with the main vegetation cover. Such an approach of mapping understorey vegetation using aerial photographs could be of immense value for wildlife habitat evaluation and park management.
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Legleiter, Carl. "Measuring the Morphology and Dynamics of the Snake River by Remote Sensing." UW National Parks Service Research Station Annual Reports 33 (January 1, 2011): 3–15. http://dx.doi.org/10.13001/uwnpsrc.2011.3773.
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The Snake River is a central component of Grand Teton National Park, and this dynamic fluvial system plays a key role in shaping the landscape and creating diverse aquatic and terrestrial habitat. The riverâs complexity and propensity for change make effective characterization of this resource difficult, however, and conventional, ground-based methods are simply inadequate. Remote sensing provides an appealing alternative approach that could facilitate resource management while providing novel insight on the factors controlling channel form and behavior. In this study, we evaluate the potential to measure the morphology and dynamics of a large, complex river system such as the Snake using optical image data. Initially, we made use of existing, publicly available images and basic digital aerial photography acquired in August 2010. Analysis to date has focused on estimating flow depths from these data, and preliminary results indicate that remote bathymetric mapping is feasible but not highly accurate, with important constraints related to the limited radiometric resolution of these data sets. Additional, more sophisticated hyperspectral data are scheduled for collection in 2011, along with further field work.
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Duffy, James P., and Karen Anderson. "A 21st-century renaissance of kites as platforms for proximal sensing." Progress in Physical Geography: Earth and Environment 40, no. 2 (April 2016): 352–61. http://dx.doi.org/10.1177/0309133316641810.
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In 1903, WH Dines first proposed kites as platforms from which scientific measurements could be captured. This early paper was focused on the collection of atmospheric measurements but later on, kites were used widely as platforms for aerial photography – a memorable example is the aerial survey of San Francisco captured from a kite platform after the 1906 earthquake. In this paper, we begin by providing a brief overview of this early scientific and remote sensing work from kite platforms. We then discuss the resurgence of kite use within modern geography and environmental science research using examples from published work in the past 20 years. We discuss how the use of kites in these disciplines has expanded in recent years, with a renewed focus on the collection of proximal remote sensing data. Also, we present a variety of contemporary examples of kite-based sensing (including basic mapping, ecological survey, population counts and humanitarian mapping) and discuss the merits of kites compared to drone-based platforms which have captured much of the public and scientific attention as proximal sensing platforms in recent times. The beauty of kite-based proximal sensing lies in the simplicity and low-cost nature of data capture, as highlighted by Dines’ 1903 paper. This simplicity supported by the wide array of modern complex data processing capabilities means that kites are now in a position to deliver fine-grained spatial data to the modern geographer. Furthermore, in today’s world, there are many situations where kites can fly freely, but drones cannot.
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Zhou, T., L. Lv, J. Liu, and J. Wan. "APPLICATION OF UAV OBLIQUE PHOTOGRAPHY IN REAL SCENE 3D MODELING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 413–18. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-413-2021.
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Abstract. Aiming at the phenomenon that the traditional measurement methods cannot complete large-scale measurement in a short time, and the image quality obtained by remote sensing in cloudy and rainy areas is difficult to meet the demand, this paper puts forward the idea of using UAV tilt photography to build three-dimensional modeling of urban real scene. The UAV tilt photography technology is used to collect the image data of about 200 km2 in Wuzhishan City. By laying a small number of ground image control points, the aerial triangulation is used to establish the connection, and the three-dimensional modeling of the collected data is carried out. Through the field verification to verify the attribute information of ground objects, the accuracy is verified by using CORS system field coordinate collection. The results show that the ground property and mathematical accuracy of UAV tilt photography model meet the requirements, and can be effectively used in real 3D modeling.
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Suharyadi, Suharyadi, and Yudhistira Tri Nurteisa. "Teknologi Pesawat Tanpa Awak untuk Pemetaan Skala Detail Rencana Jaringan Pipa Sanitasi Komunal bagi Masyarakat Dusun Kepek 1, Kepek, Wonosari, Gunungkidul." Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) 2, no. 1 (February 16, 2017): 1–13. http://dx.doi.org/10.22146/jpkm.22081.
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Human settlements can not be separated from the emergence of waste generated by human activity. Waste will give a negative efect on health and the environment if not handled and managed properly. Hamlet Kepek 1, Kepek, Wonosari have realized the impact that arises when household waste is not managed properly. For that, some residents have initiated a communal waste management and manufacture of communal sanitation pipelines. Conventionally, communal sanitary pipe network planning and data requires a huge cost, for it takes breakthrough of utilization of appropriate technology to facilitate the planning process and reduce the cost incurred.Utilization of small format aerial photographs resulting from the unmanned aircraf vehicle (UAV) used as an alternative technology in the planning communal sanitation pipelines. Analytical methods to create a map of the communal sanitation pipelines through least cost path analysis. Utilization of UAV technology is expected to make the planning of communal sanitary pipelines with good results and at afordable costs. Te result of small format aerial photography from unmanned aircraf vehicle (UAV) can be used to produce the spatial data with high resolution. Small format aerial photographs produced is then processed to obtain the orthophoto image and the image of Digital Surface Model (DSM). Both kinds of remote sensing image are then used as the main data to create maps of the communal sanitation pipelines. Te result of processing in the form of a map of communal sanitation pipelines in t Kepek 1 at low cost and appropriate technology.