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Journal articles on the topic 'Forests and forestry Aerial photography in forestry. Photographic interpretation'

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Published: 4 June 2021

Last updated: 14 February 2022

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1

Morgan, Jessica L., and Sarah E. Gergel. "Automated analysis of aerial photographs and potential for historic forest mapping." Canadian Journal of Forest Research 43, no. 8 (2013): 699–710. http://dx.doi.org/10.1139/cjfr-2012-0492.

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Historic information regarding forest status is essential to management and conservation. Manual interpretation of aerial photography has long been the standard for forest inventory; however, manual interpretation can be subjective, inconsistent, and labor-intensive. This research compares automated techniques with manual interpretation results. First, we used an automated process (called segmentation) to delineate homogeneous stands of forests (or objects), analogous to the goal of manually delineating of polygons. Second, we used classification and regression tree (CART) analysis to classify

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Düggelin, Christoph, and Meinrad Abegg. "Modelle zur Biomasse- und Holzvolumenschätzung im Schweizer Gebüschwald | Modelling of biomass and wood volume in Swiss shrub forest." Schweizerische Zeitschrift fur Forstwesen 162, no. 2 (2011): 32–40. http://dx.doi.org/10.3188/szf.2011.0032.

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The results of the third National Forest Inventory indicate that shrub forest accounts for 5% of the total forest area in Switzerland. It grows almost exclusively in the subalpine zone and is dominated by the woody species Alnus viridis and Pinus mugo prostrata. As a consequence of global warming and the increasing demand for sustainable energy, there is a national and international interest to quantify wood volume and biomass in shrub forests. Therefore representative coppice shoots were measured in detail to establish allometric volume and biomass functions for Alnus viridis, Pinus mugo pros

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Kulha, Niko, Leena Pasanen, and Tuomas Aakala. "How to Calibrate Historical Aerial Photographs: A Change Analysis of Naturally Dynamic Boreal Forest Landscapes." Forests 9, no. 10 (2018): 631. http://dx.doi.org/10.3390/f9100631.

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Time series of repeat aerial photographs currently span decades in many regions. However, the lack of calibration data limits their use in forest change analysis. We propose an approach where we combine repeat aerial photography, tree-ring reconstructions, and Bayesian inference to study changes in forests. Using stereopairs of aerial photographs from five boreal forest landscapes, we visually interpreted canopy cover in contiguous 0.1-ha cells at three time points during 1959–2011. We used tree-ring measurements to produce calibration data for the interpretation, and to quantify the bias and

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Zagalikis, G., A. D. Cameron, and D. R. Miller. "The application of digital photogrammetry and image analysis techniques to derive tree and stand characteristics." Canadian Journal of Forest Research 35, no. 5 (2005): 1224–37. http://dx.doi.org/10.1139/x05-030.

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Ground-based forest inventory surveys can provide highly accurate measurements of tree and stand characteristics, but these are expensive to carry out. Aerial photography has been used for several decades as a tool in forest management and inventory. However, conventional methods of interpretation are both time-consuming and costly, with results varying among interpreters. With continuing development of personal computer technology, aerial photographs have become more accessible for digital analysis. This paper presents the potential operational use of digitized aerial photographs for the esti

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Hall, R. J., and A. H. Aldred. "Forest regeneration appraisal with large-scale aerial photographs." Forestry Chronicle 68, no. 1 (1992): 142–50. http://dx.doi.org/10.5558/tfc68142-1.

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The operational feasibility of using large-scale aerial photographs to quantify coniferous forest stocking and regeneration density, was assessed over 6 cutovers with a 1,700 ha total area. The project involved two stages: one to pre-stratify cutover stocking levels using 1:10,000 general-coverage, colour photos; and the second to sample intensively, stocking and density using 1:500 large-scale photos. The accuracy, cost and practical problems in using large-scale sampling photos for regeneration assessment were determined. Accuracy assessment included detectability of young trees, species int

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McLaren, Brian E., and Shane P. Mahoney. "Comparison of forestry-based remote sensing methodologies to evaluate woodland caribou habitat in non-forested areas of Newfoundland." Forestry Chronicle 77, no. 5 (2001): 866–73. http://dx.doi.org/10.5558/tfc77866-5.

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Forest inventory maps and a manual interpretation of forestry-enhanced Landsat imagery are compared to the results of a detailed aerial photograph interpretation used to map habitat for caribou (Rangifer tarandus terra novae) in a relatively unforested region of Newfoundland. This comparison serves as an illustration of the pitfalls inherent in using readily available remote sensing technologies in applications for which they were not intended. The non-forest classes in the Newfoundland Forest Inventory are too broad to describe single vegetation communities, and only rarely are vegetation com

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Fensham, R. J., and R. J. Fairfax. "Assessing woody vegetation cover change in north-west Australian savanna using aerial photography." International Journal of Wildland Fire 12, no. 4 (2003): 359. http://dx.doi.org/10.1071/wf03022.

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Models to calibrate tree and shrub cover assessed from aerial photography with field measurements were developed for a range of vegetation types in north-western Australia. The models verify previous studies indicating that woody cover can be successfully determined from aerial photography. The calibration models were applied to estimates of woody vegetation cover determined for 279 randomly located sample areas in the Ord–Victoria Rivers region using aerial photography from 1948 to 1950 and 1988 to 1997. Overstorey cover increased from a regional average of 11.5% to 13.5% and understorey cove

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Fairfax, R. J., and R. J. Fensham. "Corrigendum to: Assessing woody vegetation cover change in north-west Australian savanna using aerial photography." International Journal of Wildland Fire 13, no. 1 (2004): 131. http://dx.doi.org/10.1071/wf03022_co.

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Models to calibrate tree and shrub cover assessed from aerial photography with field measurements were developed for a range of vegetation types in north-western Australia. The models verify previous studies indicating that woody cover can be successfully determined from aerial photography. The calibration models were applied to estimates of woody vegetation cover determined for 279 randomly located sample areas in the Ord–Victoria Rivers region using aerial photography from 1948 to 1950 and 1988 to 1997. Overstorey cover increased from a regional average of 11.5% to 13.5% and understorey cove

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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 (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 r

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10

K., Kotresha, and Indra Jit Singh. "Mapping of Forest Plantation in Forest Research Institute, Dehradun Using IKONOS Data." Mapana - Journal of Sciences 6, no. 2 (2007): 75–88. http://dx.doi.org/10.12723/mjs.11.6.

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The forests are the source for many essential requirements such as fuel wood, timber, raw materials for paper and above all, it helps us to maintain the CO2 /O2 balance in nature. Sustainable forest management requires reliable information. The aerial photographs and GIS data information can generate various scenarios for forest management plans at local, national and global scales. IKONOS is the world first one-meter resolution commercial imaging satellite. The interpretation of aerial photograph and satellite data are of great benefit for neighboring and regional land use, forest mapping, to

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Dodson, JR, and CA Myers. "Vegetation and Modern Pollen Rain From the Barrington Tops and Upper Hunter River Regions of New South Wales." Australian Journal of Botany 34, no. 3 (1986): 293. http://dx.doi.org/10.1071/bt9860293.

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Vegetation was mapped using existing maps, Landsat interpretation, aerial photograph interpretation and some verification by ground surveys. Twenty-five moss cushions were collected to identify pollen rain and pollen indicators of vegetation for use in fossil pollen interpretation. Eucalyptus (10%), Poaceae (4-10%), Casuarina (4-5%), Asteraceae (Tubuliflorae) (0-4%) and Cyperaceae (0-2%) were the general components in the pollen rain of the region. Subtropical rain forest was characterized by Backhousia and low values of a wide range of taxa. Cool temperate rain forest had Nothofagus values ab

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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 (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 effe

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Pearson, Audrey F. "Natural and logging disturbances in the temperate rain forests of the Central Coast, British Columbia." Canadian Journal of Forest Research 40, no. 10 (2010): 1970–84. http://dx.doi.org/10.1139/x10-137.

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Natural disturbances frame the spatial and temporal processes of ecosystems and are the foundation for ecosystem-based management. In the coastal temperate rain forests of British Columbia, landscape patterns of natural disturbances and their contrasts with logging are not well documented. Stand-replacing disturbances over the past 140 years were investigated for the Central Coast (1.5 million ha) at regional and local scales using a combination of aerial photograph interpretation and forest management GIS databases. At the regional scale, stand-replacing natural disturbances affected 3.1% of

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García, M. B., P. Errea, D. Gómez, and M. Pizarro. "Winners and losers of landscape changes over the last sixty years in one of the oldest and southernmost national parks of the European Alpine region: Ordesa and Monte Perdido." Cuadernos de Investigación Geográfica 45, no. 1 (2019): 123. http://dx.doi.org/10.18172/cig.3711.

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Traditional land-use decline in Mediterranean mountains is translating into extensive forest recovery and the loose of “cultural landscapes”. In this context, the management of semi-natural ecosystems plays a fundamental role for the future preservation of species and processes, particularly in protected areas, and managers need rigorous information for an integrative interpretation of the long-term and complex effects of land cover replacement. Here we analyze changes in the land cover structure of the Ordesa and Monte Perdido National Park and its peripheral protection zone, by comparing 7 t

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Næsset, Erik. "Positional accuracy of boundaries between clearcuts and mature forest stands delineated by means of aerial photointerpretation." Canadian Journal of Forest Research 28, no. 3 (1998): 368–74. http://dx.doi.org/10.1139/x97-221.

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Four skilled interpreters delineated 48 boundaries between mature forest stands and clear-felled or nonproductive areas using black and white and color infrared aerial photographs. The positions of the boundaries were compared with ground-truth points located along the boundaries. On average, the interpreters located the boundaries 1.22-2.44 m inside the mature forest stands. Film type, focal length, location of the boundaries within different parts of the stereo models, and the height of the trees along the boundaries did not affect the interpretations significantly. Shadows caused by the tre

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Yamada, Yusuke, Toshihiro Ohkubo, and Katsuto Shimizu. "Causal Analysis of Accuracy Obtained Using High-Resolution Global Forest Change Data to Identify Forest Loss in Small Forest Plots." Remote Sensing 12, no. 15 (2020): 2489. http://dx.doi.org/10.3390/rs12152489.

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Identifying areas of forest loss is a fundamental aspect of sustainable forest management. Global Forest Change (GFC) datasets developed by Hansen et al. (in Science 342:850–853, 2013) are publicly available, but the accuracy of these datasets for small forest plots has not been assessed. We used a forest-wide polygon-based approach to assess the accuracy of using GFC data to identify areas of forest loss in an area containing numerous small forest plots. We evaluated the accuracy of detection of individual forest-loss polygons in the GFC dataset in terms of a “recall ratio”, the ratio of the

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17

Leblon, Brigitte. "Mapping forest clearcuts using radar digital imagery: A review of the Canadian experience." Forestry Chronicle 75, no. 4 (1999): 675–84. http://dx.doi.org/10.5558/tfc75675-4.

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Annual clearcut mapping is currently done in Canada mainly from photo-interpretation of aerial photographs. An advantageous alternative would use digital imagery. Optical imagery acquisition depends on weather and illumination conditions, but not radar images. This paper documents the state of practice in Canada in the use of radar digital images for clearcut mapping, with regards to the type of images used, to the influence of environmental conditions, the band, polarization, time of the year, and incidence angles, as well as to the mapping accuracy. Synergism between optical and radar images

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D'Aoust, Vincent, Daniel Kneeshaw, and Yves Bergeron. "Characterization of canopy openness before and after a spruce budworm outbreak in the southern boreal forest." Canadian Journal of Forest Research 34, no. 2 (2004): 339–52. http://dx.doi.org/10.1139/x03-278.

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We propose a simple method that uses aerial photographs to characterize the impacts of a spruce budworm (Choristoneura fumiferana (Clem.)) outbreak on canopy structure. Using aerial photographs taken at the beginning (1972) and after (1994) a major spruce budworm outbreak (19701987), we evaluated the change in canopy openness that occurred during the period of the outbreak, in five compositionally different stands. We compared canopy openness evaluated by photointerpretation with two independent field techniques and found a high degree of similarity between methods. Interpretation of the 1972

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Arkin, Jeremy, Nicholas C. Coops, Txomin Hermosilla, Lori D. Daniels, and Andrew Plowright. "Integrated fire severity–land cover mapping using very-high-spatial-resolution aerial imagery and point clouds." International Journal of Wildland Fire 28, no. 11 (2019): 840. http://dx.doi.org/10.1071/wf19008.

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Fire severity mapping is conventionally accomplished through the interpretation of aerial photography or the analysis of moderate- to coarse-spatial-resolution pre- and post-fire satellite imagery. Although these methods are well established, there is a demand from both forest managers and fire scientists for higher-spatial-resolution fire severity maps. This study examines the utility of high-spatial-resolution post-fire imagery and digital aerial photogrammetric point clouds acquired from an unmanned aerial vehicle (UAV) to produce integrated fire severity–land cover maps. To accomplish this

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Remmel, Tarmo K., Kenton W. Todd, and James Buttle. "A comparison of existing surficial hydrological data layers in a low-relief forested Ontario landscape with those derived from a LiDAR DEM." Forestry Chronicle 84, no. 6 (2008): 850–65. http://dx.doi.org/10.5558/tfc84850-6.

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The current provincial-extent digital elevation model (DEM) and corresponding hydrological maps for Ontario have been produced using traditional photogrammetry and aerial photograph interpretation. This process is labour-intensive and requires visual interpretation of stereo image pairs. The ground surface and small hydrological features may be inaccurately delineated in areas where vegetation is dense or the ground is otherwise shielded from aerial view. In an effort to improve and automate delineation of hydrological features, we examined the behaviour and final products of the D8 flowroutin

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LaRocque, Armand, Chafika Phiri, Brigitte Leblon, Francesco Pirotti, Kevin Connor, and Alan Hanson. "Wetland Mapping with Landsat 8 OLI, Sentinel-1, ALOS-1 PALSAR, and LiDAR Data in Southern New Brunswick, Canada." Remote Sensing 12, no. 13 (2020): 2095. http://dx.doi.org/10.3390/rs12132095.

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Mapping wetlands with high spatial and thematic accuracy is crucial for the management and monitoring of these important ecosystems. Wetland maps in New Brunswick (NB) have traditionally been produced by the visual interpretation of aerial photographs. In this study, we used an alternative method to produce a wetland map for southern New Brunswick, Canada, by classifying a combination of Landsat 8 OLI, ALOS-1 PALSAR, Sentinel-1, and LiDAR-derived topographic metrics with the Random Forests (RF) classifier. The images were acquired in three seasons (spring, summer, and fall) with different wate

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Gordon, Riet, Ueli Bühler, and Jürg Zinggeler. "Änderung der Waldinventurmethode im Kanton Graubünden | Modification of the Forest Inventory Method in the Canton of Grisons, Switzerland." Schweizerische Zeitschrift fur Forstwesen 151, no. 5 (2000): 165–73. http://dx.doi.org/10.3188/szf.2000.0165.

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The new planning concept in the canton of Grisons, consisting of regional development plans and local management plans, affects information needs and thus the previous inventory method. Information on forest condition and forest dynamics is needed both at the regional and at the management level. Where the management level is concerned, the information needed is gained by means of a detailed description of each stand. To support the decision on the future inventory method at the regional level, a pilot inventory was conducted, using the method of the second National Forest Inventory (NFI 2). T

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Falkowski, Michael J., Michael A. Wulder, Joanne C. White, and Mark D. Gillis. "Supporting large-area, sample-based forest inventories with very high spatial resolution satellite imagery." Progress in Physical Geography: Earth and Environment 33, no. 3 (2009): 403–23. http://dx.doi.org/10.1177/0309133309342643.

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Information needs associated with forest management and reporting requires data with a steadily increasing level of detail and temporal frequency. Remote sensing satellites commonly used for forest monitoring (eg, Landsat, SPOT) typically collect imagery with sufficient temporal frequency, but lack the requisite spatial and categorical detail for some forest inventory information needs. Aerial photography remains a principal data source for forest inventory; however, information extraction is primarily accomplished through manual processes. The spatial, categorical, and temporal information re

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Budianti, Noviana, Hiromi Mizunaga, and Atsuhiro Iio. "Crown Structure Explains the Discrepancy in Leaf Phenology Metrics Derived from Ground- and UAV-Based Observations in a Japanese Cool Temperate Deciduous Forest." Forests 12, no. 4 (2021): 425. http://dx.doi.org/10.3390/f12040425.

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Unmanned aerial vehicles (UAV) provide a new platform for monitoring crown-level leaf phenology due to the ability to cover a vast area while offering branch-level image resolution. However, below-crown vegetation, e.g., understory vegetation, subcanopy trees, and the branches of neighboring trees, along with the multi-layered structure of the target crown may significantly reduce the accuracy of UAV-based estimates of crown leaf phenology. To test this hypothesis, we compared UAV-derived crown leaf phenology results against those based on ground observations at the individual tree scale for 1

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FURUSAWA, TAKURO, KRISHNA PAHARI, MASAHIRO UMEZAKI, and RYUTARO OHTSUKA. "Impacts of selective logging on New Georgia Island, Solomon Islands evaluated using very-high-resolution satellite (IKONOS) data." Environmental Conservation 31, no. 4 (2004): 349–55. http://dx.doi.org/10.1017/s0376892904001638.

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Selective harvest has become a dominant method of commercial logging in tropical rainforests of the Asia-Pacific region. Although it has usually been recognized that this method minimizes the impact on forest because of the limited number of trees harvested and slight effects on growth of unharvested trees, recent reports suggest that its damage is potentially serious. This study aimed to evaluate the effects of a selective logging operation in 1993–1994 on customary land (2024 ha) of New Georgia Island, Solomon Islands. Geo-referenced IKONOS panchromatic (1-m resolution) and multispectral (4-

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Atkinson, Nigel, Daniel J. Utting, and Steven M. Pawley. "Landform signature of the Laurentide and Cordilleran ice sheets across Alberta during the last glaciation." Canadian Journal of Earth Sciences 51, no. 12 (2014): 1067–83. http://dx.doi.org/10.1139/cjes-2014-0112.

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Government geological survey maps and research publications have portrayed the distribution of glacial landforms associated with the advance and retreat of the Laurentide and Cordilleran ice sheets across Alberta at a local, regional, and continental scale. To date, this information has not been systematically synthesized into a single compilation at a consistent scale. Although this original work provided valuable information to constrain reconstructions of former ice sheet extent, configuration, and flow geometry, its derivation primarily from the interpretation of aerial photographs and the

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Bowman, DMJS, WJ Panton, and L. Mcdonough. "Dynamics of Forest Clumps on Chenier Plains, Cobourg Peninsula, Northern Territory." Australian Journal of Botany 38, no. 6 (1990): 593. http://dx.doi.org/10.1071/bt9900593.

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Forest clumps occur scattered throughout Sorghum plumosum grasslands on chenier plains at Gurig National Park, Cobourg Peninsula, a preferred habitat for the introduced banteng (Bos javanicus.). The clumps are dominated by Pandanus spiralis, Acacia auriculiformis, Alstonia actinophylla, Timonius timon and Casuarina equisetifolia and vary in size from the radius of one tree crown to large patches of over several hectares. Fifteen of the 32 woody species recorded in 42 clumps occurred as juveniles less than 1 cm diameter at breast height. Both the clumps and grasslands occur on uniform calcareou

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Silva, WG, JP Metzger, S. Simões, and C. Simonetti. "Relief influence on the spatial distribution of the Atlantic Forest cover on the Ibiúna Plateau, SP." Brazilian Journal of Biology 67, no. 3 (2007): 403–11. http://dx.doi.org/10.1590/s1519-69842007000300004.

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Several studies suggest that, on a large scale, relief conditions influence the Atlantic Forest cover. The aim of this work was to explore these relationships on a local scale, in Caucaia do Alto, on the Ibiúna Plateau. Within an area of about 78 km², the distribution of forest cover, divided into two successional stages, was associated with relief attribute data (slope, slope orientation and altitude). The mapping of the vegetation was based on the interpretation of stereoscopic pairs of aerial photographs, from April 2000, on a scale of 1:10,000, while the relief attributes were obtained by

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Thin, Nguen Nghia, Nguen Ba Thu, and Tran Van Thuy. "Classification of vegetation in Cucphuong National Park with the aim of large-scale mapping, Vietnam." Geobotanical mapping, no. 1994-1995 (1996): 64–67. http://dx.doi.org/10.31111/geobotmap/1994-1995.64.

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The tropical seasonal rainy evergreen broad-leaved forest vegetation of the Cucphoung National Park has been classified and the distribution of plant communities has been shown on the map using the relations of vegetation to geology, geomorphology and pedology. The method of vegetation mapping includes: 1) the identifying of vegetation types in the remote-sensed materials (aerial photographs and satellite images); 2) field work to compile the interpretation keys and to characterize all the communities of a study area; 3) compilation of the final vegetation map using the combined information. I

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Hematang, Francine, Agustinus Murdjoko, and Hendri Hendri. "MODEL PENDUGAAN DIAMETER POHON BERBASIS CITRA UNMANNED AERIAL VEHICLE (UAV) PADA HUTAN HUJAN TROPIS PAPUA: STUDI DI PULAU MANSINAM PAPUA BARAT (Model of Tree Diameter Estimation Based on Unmanned Aerial Vehicle (UAV) Image in Papua Tropical Rain Forest: a Study in Mansinam Island Papua Barat)." Jurnal Penelitian Kehutanan Faloak 5, no. 1 (2021): 16–30. http://dx.doi.org/10.20886/jpkf.2021.5.1.16-30.

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Abstract Unmanned aerial vehicles (UAV) have often been used for various purposes, not only for photography but also have been used for science in various scientific fields, including forestry. UAV has the ability to move freely in the air and record objects on the ground with high spatial resolution and wide area coverage. This study aimed to estimate the diameter at breast height (DBH) based on the image generated from the UAV. UAV was used to obtain aerial photographs taken at an altitude of 150 m above the land surface in four sample areas of 27 ha at the study site. Aerial photos were pro

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Yang, Zhiqiang, Warren B. Cohen, and Mark E. Harmon. "Modeling early forest succession following clear-cutting in western Oregon." Canadian Journal of Forest Research 35, no. 8 (2005): 1889–900. http://dx.doi.org/10.1139/x05-132.

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In the Pacific Northwest, the process of conifer development after stand-replacing disturbance has important implications for many forest processes (e.g., carbon storage, nutrient cycling, and biodiversity). This paper examines conifer development in the Coast Range Province and Western Cascades Province of Oregon using repeat interpretation of historic aerial photographs from 1959 to 1997 to examine the canopy cover change of different life forms: shrubs, hardwood trees, and conifer trees. Ninety-four stands from the Western Cascades Province and 59 stands from the Coast Range Province were p

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Massey, Alexander, Daniel Mandallaz, and Adrian Lanz. "Integrating remote sensing and past inventory data under the new annual design of the Swiss National Forest Inventory using three-phase design-based regression estimation." Canadian Journal of Forest Research 44, no. 10 (2014): 1177–86. http://dx.doi.org/10.1139/cjfr-2014-0152.

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In 2009, the Swiss National Forest Inventory (NFI) turned from a periodic into an annual measurement design in which only one-ninth of the overall sample of permanent plots is measured every year. The reduction in sample size due to the implementation of the annual design results in an unacceptably large increase in variance when using the standard simple random sampling estimator. Thus, a flexible estimation procedure using two- and three-phase regression estimators is presented with a special focus on utilizing updating techniques to account for disturbances and growth and is applied to the

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Ivanova, Natalya V., Maxim P. Shashkov, and Vladimir N. Shanin. "Obtaining tree stand attributes from unmanned aerial vehicle (UAV) data: the case of mixed forests." Vestnik Tomskogo gosudarstvennogo universiteta. Biologiya, no. 54 (2021): 158–75. http://dx.doi.org/10.17223/19988591/54/8.

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Nowadays, due to the rapid development of lightweight unmanned aerial vehicles (UAV), remote sensing systems of ultra-high resolution have become available to many researchers. Conventional ground-based measurements for assessing tree stand attributes can be expensive, as well as time- and labor-consuming. Here, we assess whether remote sensing measurements with lightweight UAV can be more effective in comparison to ground survey methods in the case of temperate mixed forests. The study was carried out at the Prioksko-Terrasny Biosphere Nature Reserve (Moscow region, Russia). This area belongs

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Lendzioch, Theodora, Jakub Langhammer, and Michal Jenicek. "Estimating Snow Depth and Leaf Area Index Based on UAV Digital Photogrammetry." Sensors 19, no. 5 (2019): 1027. http://dx.doi.org/10.3390/s19051027.

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This study presents a novel approach in the application of Unmanned Aerial Vehicle (UAV) imaging for the conjoint assessment of the snow depth and winter leaf area index (LAI), a structural property of vegetation, affecting the snow accumulation and snowmelt. The snow depth estimation, based on a multi-temporal set of high-resolution digital surface models (DSMs) of snow-free and of snow-covered conditions, taken in a partially healthy to insect-induced Norway spruce forest and meadow coverage area within the Šumava National Park (Šumava NP) in the Czech Republic, was assessed over a winter se

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Kadavi, Prima, Chang-Wook Lee, and Saro Lee. "Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping." Remote Sensing 10, no. 8 (2018): 1252. http://dx.doi.org/10.3390/rs10081252.

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The main purpose of this study was to produce landslide susceptibility maps using various ensemble-based machine learning models (i.e., the AdaBoost, LogitBoost, Multiclass Classifier, and Bagging models) for the Sacheon-myeon area of South Korea. A landslide inventory map including a total of 762 landslides was compiled based on reports and aerial photograph interpretations. The landslides were randomly separated into two datasets: 70% of landslides were selected for the model establishment and 30% were used for validation purposes. Additionally, 20 landslide condition factors divided into fi

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Park, Sung-Jae, Chang-Wook Lee, Saro Lee, and Moung-Jin Lee. "Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea." Remote Sensing 10, no. 10 (2018): 1545. http://dx.doi.org/10.3390/rs10101545.

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We assessed landslide susceptibility using Chi-square Automatic Interaction Detection (CHAID), exhaustive CHAID, and Quick, Unbiased, and Efficient Statistical Tree (QUEST) decision tree models in Jumunjin-eup, Gangneung-si, Korea. A total of 548 landslides were identified based on interpretation of aerial photographs. Half of the 548 landslides were selected for modeling, and the remaining half were used for verification. We used 20 landslide control factors that were classified into five categories, namely topographic elements, hydrological elements, soil maps, forest maps, and geological ma

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Hammill, Kate A., and Ross A. Bradstock. "Remote sensing of fire severity in the Blue Mountains: influence of vegetation type and inferring fire intensity." International Journal of Wildland Fire 15, no. 2 (2006): 213. http://dx.doi.org/10.1071/wf05051.

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Fire intensity affects ecological and geophysical processes in fire-prone landscapes. We examined the potential for satellite imagery (Satellite Pour l’Observation de la Terre [SPOT2] and Landsat7) to detect and map fire severity patterns in a rugged landscape with variable vegetation near Sydney, Australia. A post-fire, vegetation-based indicator of fire intensity (burnt shrub branch tip diameters, representing the size of fuel consumed) was also used to explore whether fire severity patterns can be used to retrospectively infer patterns of fire intensity. Six severity classes (ranging from u

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Bowman, DMJS, PK Latz, and WJ Panton. "Pattern and Change in an Acacia aneura Shrubland and Triodia Hummock Grassland Mosaic on Rolling Hills in Central Australia." Australian Journal of Botany 43, no. 1 (1995): 25. http://dx.doi.org/10.1071/bt9950025.

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The environmental correlates of a mosaic of Acacia aneura F.Muell. ex Benth. shrublands and Triodia hummock grasslands on rolling conglomerate hills in central Australia were explored by indirect gradient analysis. A non-metric multidimension scaling ordination, based on the presence or absence of plant species, clearly separated the A. aneura shrubland from the Triodia hummock grassland; there were few intermediate quadrats. The A. aneura shrublands occurred on relatively deeper skeletal soils than the Triodia hummock grasslands. Unlike unidirection successional gradients from frequently burn

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Kupidura, Przemysław, Katarzyna Osińska-Skotak, Katarzyna Lesisz, and Anna Podkowa. "The Efficacy Analysis of Determining the Wooded and Shrubbed Area Based on Archival Aerial Imagery Using Texture Analysis." ISPRS International Journal of Geo-Information 8, no. 10 (2019): 450. http://dx.doi.org/10.3390/ijgi8100450.

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Open areas, along with their non-forest vegetation, are often threatened by secondary succession, which causes deterioration of biodiversity and the habitat’s conservation status. The knowledge about characteristics and dynamics of the secondary succession process is very important in the context of management and proper planning of active protection of the Natura 2000 habitats. This paper presents research on the evaluation of the possibility of using selected methods of textural analysis to determine the spatial extent of trees and shrubs based on archival aerial photographs, and consequentl

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Fukalová, Petra, and Hana Pokladníková. "Land use developmental trends in cadastral area Žabčice." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 58, no. 2 (2010): 69–76. http://dx.doi.org/10.11118/actaun201058020069.

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This article is focused on the land use development in the cadastral area Žabčice since the mid of the 20th century. Žabčice lies in South Moravia at a distance of less than 25 km south from Brno and its land area is 817 ha. This selected cadastre is part of University Agricultural Enterprise (UAE) Žabčice area and has been chosen because of the relevance for the MUAF in Brno. Dominant activity in this cadastral area is agriculture. The land use was evaluated from 1950’s to the present time.According to availability of suitable map underlays three basic time profiles (1953, 1990 and 2007) were

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Chen, Lixia, Zizheng Guo, Kunlong Yin, Dhruba Pikha Shrestha, and Shikuan Jin. "The influence of land use and land cover change on landslide susceptibility: a case study in Zhushan Town, Xuan'en County (Hubei, China)." Natural Hazards and Earth System Sciences 19, no. 10 (2019): 2207–28. http://dx.doi.org/10.5194/nhess-19-2207-2019.

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Abstract. Land use and land cover change can increase or decrease landslide susceptibility (LS) in the mountainous areas. In the hilly and mountainous part of southwestern China, land use and land cover change (LUCC) has taken place in the last decades due to infrastructure development and rapid economic activities. This development and activities can worsen the slope susceptible to sliding due to mostly the cutting of slopes. This study, taking Zhushan Town, Xuan'en County, as the study area, aims to evaluate the influence of land use and land cover change on landslide susceptibility at a reg

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Jones, Benjamin M., Carson A. Baughman, Vladimir E. Romanovsky, et al. "Presence of rapidly degrading permafrost plateaus in south-central Alaska." Cryosphere 10, no. 6 (2016): 2673–92. http://dx.doi.org/10.5194/tc-10-2673-2016.

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Abstract. Permafrost presence is determined by a complex interaction of climatic, topographic, and ecological conditions operating over long time scales. In particular, vegetation and organic layer characteristics may act to protect permafrost in regions with a mean annual air temperature (MAAT) above 0 °C. In this study, we document the presence of residual permafrost plateaus in the western Kenai Peninsula lowlands of south-central Alaska, a region with a MAAT of 1.5 ± 1 °C (1981–2010). Continuous ground temperature measurements between 16 September 2012 and 15 September 2015, using calibrat

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Chandra, Uda, Yulia Dewi Fazlina, and Muhammad Rusdi. "Distribusi spasial lahan kopi eksisting berdasarkan ketinggian dan arahan fungsi kawasan di kabupaten Aceh Tengah." Jurnal Ilmiah Mahasiswa Pertanian 3, no. 4 (2020): 1–6. http://dx.doi.org/10.17969/jimfp.v3i4.9587.

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Abstrak. Data spasial adalah data yang bereferensi geografis atas representasi obyek di bumi. Data spasial pada umumnya berdasarkan peta yang berisikan interprestasi dan proyeksi seluruh fenomena yang berada di bumi, kopi merupakan salah satu komoditi perkebunan yang memiliki nilai ekonomis yang cukup tinggi di antara tanaman perkebunan lainnya dan berperan penting sebagai sumber devisa negara. Kopi juga merupakan sumber penghasilan bagi tidak kurang dari 1,5 juta jiwa petani kopi di Indonesia, sejak tahun 1992 petani kopi Arabika Gayo telah terlibat dalam program sertifikasi produk yang berpr

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Yakubu, Bashir Ishaku, Shua’ib Musa Hassan, and Sallau Osisiemo Asiribo. "AN ASSESSMENT OF SPATIAL VARIATION OF LAND SURFACE CHARACTERISTICS OF MINNA, NIGER STATE NIGERIA FOR SUSTAINABLE URBANIZATION USING GEOSPATIAL TECHNIQUES." Geosfera Indonesia 3, no. 2 (2018): 27. http://dx.doi.org/10.19184/geosi.v3i2.7934.

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Rapid urbanization rates impact significantly on the nature of Land Cover patterns of the environment, which has been evident in the depletion of vegetal reserves and in general modifying the human climatic systems (Henderson, et al., 2017; Kumar, Masago, Mishra, & Fukushi, 2018; Luo and Lau, 2017). This study explores remote sensing classification technique and other auxiliary data to determine LULCC for a period of 50 years (1967-2016). The LULCC types identified were quantitatively evaluated using the change detection approach from results of maximum likelihood classification algorithm

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"Creation of Methods for Automated Determination of Forest Parameters Based on Data from UAVS." International Journal of Engineering and Advanced Technology 9, no. 2 (2019): 1523–26. http://dx.doi.org/10.35940/ijeat.b3639.129219.

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The article presents a scientific study on the use of aerial photographs obtained by unmanned aerial vehicle (UAV), for the automated collection of data on forest resources in the taiga forests of the European North of Russia. On the example of the trial plot, a technique is described for automated allocation of crown contours, calculation of the trunk diameter and timber stock in the forest area. The methodology used morphological methods for processing digital images, geographic information tools for representing and processing spatial information, as well as the results of statistical obser

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Suwanlee, S. R., and J. Som-ard. "Population Estimation Using Land-Use Change Data from Multi-Sensor Images in Maha Sarakham Province, Thailand." International Journal of Geoinformatics, June 1, 2021, 81–95. http://dx.doi.org/10.52939/ijg.v17i3.1901.

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Land-use changes surrounding Mahasarakham University in Thailand were investigated using multi-sensor images from 2002 and 2019. This study used aerial photographs and Landsat-7 satellite images captured in 2002, and aerial photographs from an unmanned aerial vehicle and Sentinel-2A data observed in 2019. Visual image interpretation (VII), object-based image analysis (OBIA), and random forest (RF) methods were applied to classify building areas from the multi-sensor images. Population was estimated using buildings and field-survey data, and population samples. The samples were obtained by poin

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Miller, Christopher A. "RESERVE PLANNING ON PRIVATE LAND HOLDINGS OF THE FORESTRY COMPANY, STORA PORT HAWKESBURY LIMITED: CAPE BRETON ISLAND AND EASTERN MAINLAND NOVA SCOTIA." Proceedings of the Nova Scotian Institute of Science (NSIS) 42, no. 2 (2004). http://dx.doi.org/10.15273/pnsis.v42i2.3613.

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The forestry company, Stora Port Hawkesbury Limited, owns 280 properties throughout Cape Breton Island and eastern mainland Nova Scotia with a total cumulative area of 24 590 ha. This study utilized a coarse filter analysis to determine which of these land holdings support representative and outstanding natural features compatible with the creation of a system of privately-owned nature reserves. Aerial photographs were used to document each property. Approximately 35% of the private land holdings were caught by the coarse filter to be considered candidate protected sites. Significant features

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Saro, Lee, Jeon Seong Woo, Oh Kwan-Young, and Lee Moung-Jin. "The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea." Open Geosciences 8, no. 1 (2016). http://dx.doi.org/10.1515/geo-2016-0010.

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AbstractThe aim of this study is to predict landslide susceptibility caused using the spatial analysis by the application of a statistical methodology based on the GIS. Logistic regression models along with artificial neutral network were applied and validated to analyze landslide susceptibility in Inje, Korea. Landslide occurrence area in the study were identified based on interpretations of optical remote sensing data (Aerial photographs) followed by field surveys. A spatial database considering forest, geophysical, soil and topographic data, was built on the study area using the Geographica

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