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Journal articles on the topic 'GIS and Remote Sensing'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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1

Li, Jing Zhong, Hui Yan, and Meng Meng Yang. "The Application of Agricultural Remote Sensing in Remote Sensing Teaching Practice." Advanced Materials Research 926-930 (May 2014): 4626–29. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.4626.

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This paper has analyzed the current application status of agricultural Remote Sensing and the situation of teaching practice of Remote Sensing in Geographic Information Systems (GIS) at length; and practically looked for their breakthrough point. On this basis, the paper constructs the frame structure of their combination preliminarily, making the teaching practice combine with the practical application, which allows for the finishing of the process of teaching practice as well as serving the society. This provides a new idea for the combination of production, studying and researching in GIS and broadens the combination mode of teaching and application. Simultaneously, it promotes the students practical ability of using remote sensing and GIS to process and analyze data in actual projects, inspires the students capability of initiative and creative thinking, and improves the students interests of Autonomous learning.

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Cole, Daniel G. "Remote Sensing for GIS Managers." Cartographic Perspectives, no. 56 (March 1, 2007): 54–56. http://dx.doi.org/10.14714/cp56.308.

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3

Lachowski, Henry, Paul Maus, and Bruce Platt. "Integrating Remote Sensing with GIS." Journal of Forestry 90, no. 12 (December 1, 1992): 16–21. http://dx.doi.org/10.1093/jof/90.12.16.

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4

Sikder, Shuvra, and M. Abrar Rubaiyat Islam. "Aerosol Optical Thickness (AOT) Assessment Using GIS & Remote Sensing." International Journal of Innovative Research in Computer Science & Technology 6, no. 4 (July 2018): 69–72. http://dx.doi.org/10.21276/ijircst.2018.6.4.5.

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5

Mayani, Kaushikkumar R., and V. M. Patel V. M. Patel. "Relevance of Remote Sensing and GIS in Water Resoureces Engineering." Indian Journal of Applied Research 1, no. 11 (October 1, 2011): 50–51. http://dx.doi.org/10.15373/2249555x/aug2012/17.

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YAVARI, GHOLAMREZA, and M. MEHDI FAZELBEYGI. "Development of Small Urban Center, Using Remote Sensing and Gis." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 275–79. http://dx.doi.org/10.15373/2249555x/august2014/70.

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Castaño, Santiago, David Sanz, and Juan José Gómez Alday. "Remote Sensing and GIS Tools for the Groundwater Withdrawals Quantification." Journal of Agricultural Science and Applications 01, no. 01 (March 30, 2012): 33–36. http://dx.doi.org/10.14511/jasa.2012.010106.

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Babayeva, Nargiz A., Rayxa B. Amenzade, and Rustam B. Rustamov. "Space Technology Advances Application in Town Planning." Journal of Environmental Science and Engineering Technology 2, no. 1 (February 5, 2014): 9–13. http://dx.doi.org/10.12974/2311-8741.2014.02.01.2.

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This paper is dedicated space technology advances use architectural design in town planning for selected area of Gobustan district, Azerbaijan. It describes conceptual approach of the process of use space technology in initial stages of design process. This paper briefly observes an option of remote sensing platform for data collection with further geographical information system (GIS) technology applications. The decision oriented on the importance of linking remote sensing systems with GIS. The use of GIS is contained in application such as image classification, calibration and environmental modeling. There is clearly great complimentarily between remote sensing and GIS. Existing remote sensing method and GIS technology are operating and functioning independently. It is necessary to mention that by linking the technology, concepts and theories of remote sensing into GIS, information systems considerable richer and more sophisticated can be created for use in substantive applications. The fact is that application indicated technology for collection necessary data during execution and decision making of engineering solutions. An advantage of use of space technology is an excellent instrument of merging and integration accessed data into geographical coordination stimulated of easily those definition and importance in all the stage of engineering executions.

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SAITO, Genya. "Remote Sensing and GIS for Agricultural Information." Geoinformatics 8, no. 2 (1997): 107–16. http://dx.doi.org/10.6010/geoinformatics1990.8.2_107.

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Halounová, Lena. "Freeware for GIS and Remote Sensing." Geoinformatics FCE CTU 2 (December 19, 2007): 53–60. http://dx.doi.org/10.14311/gi.2.7.

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Education in remote sensing and GIS is based on software utilization. The software needs to be installed in computer rooms with a certain number of licenses. The commercial software equipment is therefore financially demanding and not only for universities, but especially for students. Internet research brings a long list of free software of various capabilities. The paper shows a present state of GIS, image processing and remote sensing free software.

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TATEISHI, RYUTARO. "Combination of remote sensing and GIS." Journal of the Japan society of photogrammetry and remote sensing 24 (1985): 65–67. http://dx.doi.org/10.4287/jsprs.24.special2_65.

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12

Flasse, S. "Remote Sensing and GIS Accuracy Assessment." Photogrammetric Record 20, no. 111 (September 2005): 306–7. http://dx.doi.org/10.1111/j.1477-9730.2005.00333_3.x.

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Archibald, Peter D. "GIS and remote sensing data integration." Geocarto International 2, no. 3 (September 1987): 67–73. http://dx.doi.org/10.1080/10106048709354110.

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Gábor, Remetey-Fülöpp. "Remote sensing and GIS in Hungary." Geocarto International 28, no. 1 (February 2013): 1–2. http://dx.doi.org/10.1080/10106049.2013.766427.

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Collier, P. "Uncertainty in Remote Sensing and GIS." Photogrammetric Record 19, no. 107 (September 2004): 251–52. http://dx.doi.org/10.1111/j.0031-868x.2004.282_2.x.

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16

Hoffmann, Jörn, and Per Sander. "Remote sensing and GIS in hydrogeology." Hydrogeology Journal 15, no. 1 (December 12, 2006): 1–3. http://dx.doi.org/10.1007/s10040-006-0140-2.

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17

Quinn, Nigel W. T., Vamsi Sridharan, John Ramirez-Avila, Sanaz Imen, Huilin Gao, Rocky Talchabhadel, Saurav Kumar, and Walter McDonald. "Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management." Socio-Environmental Systems Modelling 4 (October 17, 2022): 18149. http://dx.doi.org/10.18174/sesmo.18149.

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The use of Geographic Information Systems (GIS) and remote sensing technologies for the development of water quality management programs and for post-implementation assessments has increased dramatically in the past decade. This increase in adoption has been made more accessible through the interfaces of many popular software tools used in the regulation and assessment of water quality. Customized applications of these tools will increase, as ease of access and affordability of directly monitored and remotely sensed datasets improve over time. Concurrently, there is a need for inclusive participatory engagement with stakeholders to achieve solutions to current watershed management challenges. This paper explores the potential of these GIS and remote sensing datasets, tools, models, and immersive engagement technologies from other domains, for improving public participation and stakeholder engagement throughout the watershed planning process. To do so, an initial review is presented about the use of GIS and remote sensing in watershed management and its role in impairment identification, model development, and planning and implementation. Then, ways in which GIS and remote sensing can be integrated with stakeholder engagement through (1) leveraging GIS and remote sensing datasets, and (2) stakeholder engagement approaches including outreach and education, modeler-led development, and stakeholder-led involvement and feedback, are discussed. Finally, future perspectives on the potential for transforming public participation and stakeholder engagement in the watershed management process through applications of GIS and remote sensing are presented.

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Amulya, T. H. M., and Nerlikar Dhanashree. "WATERSHED MANAGEMENT BETTAHALASURU USING GIS AND REMOTE SENSING." International Journal of Advanced Trends in Engineering and Technology 3, no. 1 (January 4, 2018): 12–19. https://doi.org/10.5281/zenodo.1135259.

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Satellite remote sensing data with geographic information system has a pragmatic approach to map and generate spatial input layers of predicting response behavior and yield of watershed. Hence, in the present study an attempt has been made to understand the hydrological process of the command area at the watershed level by drawing the inferences from soil loss estimation. The study area chosen for the present study is Bettahalasuru command area situated in Bengaluru North  lies geographically  between 13°10'8"N and 13°9'12"N latitude and 77°35'58"E and 77°37'35"E longitude and toposheet No:57 G/12. It covers an area of 3.8 Sqkm and perimeter of 7.89km. Top few centimeters of the soil will usually be fertile, which is very important for the agricultural practices. Soil loss estimation was carried out in order to assess the erosion rate. If the erosion rate is severe, immediate steps should be undertaken to conserve the soil. Several methods were suggested in the past but due to its robustness, USLE (Universal Soil Loss Estimation) model has been adopted in the present study. The weighted soil erosion estimated was 16.53 t/ha/year which is Moderate soil loss. Hence should adopt conservation practices to reduce soil loss.

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Kushwaha, Priyansha, and Shivam Dubey. "Application of remote sensing in civil engineering." Southeast Asian Journal of Case Report and Review 9, no. 4 (January 15, 2023): 74–76. http://dx.doi.org/10.18231/j.sajcrr.2022.016.

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Geographic Information System (GIS) is usually carried out to catch, investigate, control, and store to give any kind of geological information. The blend of planning, information base innovation, and factual examination is all that all GIS implies and that is the purpose for its utilization in structural designing. In the development business, it is utilized in the underlying stage (preliminary stage), during spatial situating that will be settled cautiously with checking GIS innovation generally utilized attributable to its potential for offering extraordinary or new ways for settling the issue identified with ecological which bring about the diminishing expense, quality improvement for projects. GIS programming resembles a multitasker that permits so numerous information plans utilized in development improvement permitting structural architects to give out information to numerous organizations in the necessary arrangement while keeping up with information unwavering quality GIS permits to reuse, oversee, share, examine information easily in this manner overseeing time and assets.

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Rameshrao Dhote, Anand. "Application of Remote Sensing and GIS in Landslide Mapping and Management." International Journal of Science and Research (IJSR) 13, no. 10 (October 5, 2024): 583–85. http://dx.doi.org/10.21275/sr241007081916.

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S J, Dr Naresh Kumar. "Mapping of Vector Borne Diseases using GIS and Remote Sensing Techniques." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 06, no. 1 (March 15, 2016): 39. http://dx.doi.org/10.58739/jcbs/v06i1.9.

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Vector-borne diseases accounts for more than 17% of all infectious diseases in the world causing more than 1 million deaths annually. Around 2.5 billion people in over 100 countries are at a risk of contracting dengue alone. Ma-laria causes more than 4 lakh deaths every year globally and most of in them children of under 5 years. Around 13,000 cases of malaria are being reported annually in Karnataka state for the past few years. Kolar is declared by NVBDCP as one among the 13 malaria endemic districts in Karnataka state

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22

Attia El Gayar and Joginder Singh. "Remote sensing and GIS application in agriculture and natural resource management economics." International Journal of Agricultural Invention 9, no. 1 (May 19, 2024): 150–64. https://doi.org/10.46492/ijai/2024.9.1.21.

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Agricultural production systems are highly vulnerable to variations in climate, soil and topography of different regions. For sustainable agricultural management, all these factors need to be analyzed on spatio-temporal basis. The advanced techniques like remote sensing, global positioning system and geographical information system can be of great use for their assessment and management. Remote sensing and GIS are very important tools having wide range of applications to tackle these issues. These technologies have manifold applications in agriculture including crop discrimination, crop growth monitoring/ stress detection, crop inventory, soil moisture estimation, computation of crop evapo-transpiration, site-specific management/ precision agriculture, crop acreage estimation and yield prediction. Timely and reliable information on crop acreage, growth condition and yield estimation can be highly beneficial to the producers, managers and policy planners for taking tactical decisions regarding food security, import/export and economic impact. Such information on regional basis can be made available with the use of remote sensing and GIS techniques. Remote sensing and GIS can also be used very effectively in land use/ land cover analysis as well as damage assessment because of drought, floods and other extreme weather events An attempt has been made in the present study to review, analyses and evaluate the latest information regarding the application of remote sensing techniques for crop monitoring, crop condition assessment and yield estimation for sustainability of agriculture and natural resources under changing climatic scenarios. Remote sensing and Geographical Information System (GIS) offers an abundant opportunity to monitor and manage natural resources at multi-temporal, multi-spectral and multi-spatial resolution. It is an urgent need to understand the specialized capabilities of an ever-expanding array of image sources and analysis techniques for natural resource managers. In this review, we compile the various applications of remote sensing and GIS tools that can be used for natural resource management and economic. The information is useful for the natural resource managers to understand and more effectively collaborate with remote sensing scientists to develop and apply remote sensing science to achieve monitoring objectives.

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Wang, Yonghua, Yanfang Li, Bing Zhang, and Pengxiang Xing. "Dimensionality Reduction and Extraction of Engineering Remote Sensing Data Based on Building Information Modeling and Geographical Information System." Scientific Programming 2022 (May 11, 2022): 1–8. http://dx.doi.org/10.1155/2022/1319087.

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The high dimensionality of the modern remote sensing data of construction land makes it complicated to extract image data. This paper proposes a dimensionality reduction and extraction strategy for the remote sensing data of construction land, with the aid of building information modeling (BIM) and geographical information system (GIS). Firstly, the BIM was employed to reduce the size of the remote sensing data of construction land and to obtain the information of each element. Next, the remote sensing data of construction land were parsed, and the key BIM elements were extracted through semantic filtering. In addition, the remote sensing data were converted into a triangulated irregular network (TIN), which can be processed by the geographical information system (GIS). In the end, random projection was utilized to reduce the dimensionality and compress the remote sensing data, and realize the data extraction. Experimental results show that our approach can compress and extract the information from construction land images in the remote sensing data with a high accuracy.

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Abhishek, Goyat. "Detection of Ground Water Behavior using Remote Sensing in Haryana." RESEARCH REVIEW International Journal of Multidisciplinary 03, no. 08 (August 7, 2018): 363–66. https://doi.org/10.5281/zenodo.1345531.

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With the advancement of technology, the use of remote sensing and geographic information system has increased in detecting the nature of ground water in hard rock system. Ground water exploration is performed with the help of satellite to know the status of ground water. Delineation of groundwater can be done easily with the help of geographic information system. There are many features which are used for the assessment of ground water resources. Some of these features are slope, groundwater recharge and discharge. The big advantage of remote sensing over hydro-geological survey is that in the former method, the cost is moderate. The current article highlights the role of remote sensing & GIS approach in detecting ground water behavior in hard rock aquifer system.

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Gao, Jay, and Yansui Liu. "Applications of remote sensing, GIS and GPS in glaciology: a review." Progress in Physical Geography: Earth and Environment 25, no. 4 (December 2001): 520–40. http://dx.doi.org/10.1177/030913330102500404.

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Remote sensing has served as an efficient method of gathering data about glaciers since its emergence. The recent advent of Geographic Information Systems (GIS) and Global Positioning Systems (GPS) has created an effective means by which the acquired data are analysed for the effective monitoring and mapping of temporal dynamics of glaciers. A large number of researchers have taken advantage of remote sensing, GIS and GPS in their studies of glaciers. These applications are comprehensively reviewed in this paper. This review shows that glacial features identifiable from aerial photographs and satellite imagery include spatial extent, transient snowline, equilibrium line elevation, accumulation and ablation zones, and differentiation of ice/snow. Digital image processing (e.g., image enhancement, spectral ratioing and automatic classification) improves the ease and accuracy of mapping these parameters. The traditional visible light/infrared remote sensing of two-dimensional glacier distribution has been extended to three-dimensional volume estimation and dynamic monitoring using radar imagery and GPS. Longitudinal variations in glacial extent have been detected from multi-temporal images in GIS. However, the detected variations have neither been explored nor modelled from environmental and topographic variables. GPS has been utilized independent of remote sensing and GIS to determine glacier ice velocity and to obtain information about glacier surfaces. Therefore, the potential afforded by the integration of nonconventional remote sensing (e.g., SAR interferometry) with GIS and GPS still remains to be realized in glaciology. The emergence of new satellite images will make remote sensing of glaciology more predictive, more global and towards longer terms.

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Sondarva, K. N., P. S. Jayswal, and J. Dhodia. "Morphometric analysis of shel dedumal watershed using remote sensing remote sensing and GIS." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 19, no. 1 (January 15, 2023): 193–99. http://dx.doi.org/10.15740/has/ijas/19.1/193-199.

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Morphometric analysis is the measurements and mathematical analysis of the land surface configuration, shape and dimension of the landforms. The efficiency of the drainage network is very important for understanding the processes of landform formation, soil physical properties and erosion characteristics. The present study is focused on the evaluation of morphometric parameters for conversation of soil and water on delineated in the basin. Furthermore, morphometric analysis of watershed using geospatial data and GIS techniques and slope analysis were also utilized to propose the suitable soil and water conservation measures in the basin. The results obtained in the analysis revealed that the Shel Dedumal basin tributaries is an 5th order drainage basin which describe that the texture is homogeneous or homogeneity still exist and lack of structural control in soil strata. The relief ratio (R h ), the elevation difference (R h or H) and circularity ratio (R c ) was found to be 10.73, 222.0 and 0.42, respectively which represents the basin having moderate relief and gentle to moderately high slope. Some areas of the basin are characterized by variation in Lithology and topography. The mean values of bifurcation ratio (R b) observed as 4.52 and circularity ratio (R c ) observed as 0.42 of the entire basins shows a moderate but not strong structural control or structural disturbances. An extreme high value of ruggedness number (R n ) observed as 11.83 which indicate the structural complexity of the terrain. The Moderate drainage density (D d ) and circularity ratio (R c ) was observed as 2.63 and 0.42, respectively which indicates the basin is highly permeable subsoil and vegetative cover. The form factor (F f ), the elongation ratio (R e ) and circularity ratio (R c ) was observed as 0.39, 0.71 and 0.42 respectively which is indicating elongated basin with lower / flatter peak flows of longer duration than the average and also the elongation ratio (R e ) values indicating moderate to slightly steep ground slope in basin which is indicating possibility for soil erosion and other soil and water conservation works.

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Sun, J., and H. Xiang. "RESEARCH ON KEY TECHNOLOGY OF MINING REMOTE SENSING DYNAMIC MONITORING INFORMATION SYSTEM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 893–96. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-893-2017.

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Problems exist in remote sensing dynamic monitoring of mining are expounded, general idea of building remote sensing dynamic monitoring information system is presented, and timely release of service-oriented remote sensing monitoring results is established. Mobile device-based data verification subsystem is developed using mobile GIS, remote sensing dynamic monitoring information system of mining is constructed, and "timely release, fast handling and timely feedback" rapid response mechanism of remote sensing dynamic monitoring is implemented.

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He, Qing Song, and Fan Gui Zeng. "Survey and Evaluation of Coalfield Geological Exploration and Coal Resources Based on Remote Sensing Technology." Applied Mechanics and Materials 380-384 (August 2013): 3930–33. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3930.

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With the development of computer science and information technology, computer data mining technology is updated, which makes the image mosaic technology that can detail data processing for remote sensing image. On this basis, this paper uses advanced computer image processing technology to carry on the combination of wavelet decomposition, combined with the GIS remote sensing technology, the coal exploration and investigation evaluation technique are carried out in-depth discussion. The paper establishes the mathematical model of GIS remote sensing image processing, and through the wavelet decomposition method, the function of image processing is given. In the third part, combined with the MATLAB data processing software, coal GIS satellite remote sensing image is carried out resource evaluation by the programming operation and the size distribution of coal rock is drawn, the coal content evaluation data table of remote sensing area is finally obtained, in which the content of No. 1 coal seam is highest reached 9860 tons, the horizontal extension of four coal seams is between 200-500m, and the longitudinally is extending between 50-100m.

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Sangeetha, C., Vishnu Moond, Rajesh G. M., Jamu Singh Damor, Shivam Kumar Pandey, Pradeep Kumar, and Barinderjit Singh. "Remote Sensing and Geographic Information Systems for Precision Agriculture: A Review." International Journal of Environment and Climate Change 14, no. 2 (February 7, 2024): 287–309. http://dx.doi.org/10.9734/ijecc/2024/v14i23945.

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Precision agriculture aims to optimize crop production and minimise environmental impacts by using information technology, remote sensing, satellite positioning systems, and proximal data gathering. This review paper examines current applications and future directions of remote sensing and geographic information systems (GIS) for precision agriculture. Remote sensing provides data on crop health, soil conditions, water status, and yield which can guide variable rate applications within fields. Satellite and aerial platforms allow multispectral and hyperspectral imaging for vegetation indices analysis, crop classification, and stress detection. GIS technology integrates these data layers to model and map variations, develop prescription maps, and analyse spatial relationships. Key research frontiers include high-resolution satellite and drone data for within-field analysis, better integration of proximal and remote sensing, online nutrient and yield monitors, real-time prescription modelling, and predictive analytics using machine learning. Adoption continues to increase with better data analytics tools and greater economic returns realized. Remote sensing and GIS provide an integral platform for variable rate technologies, predictive modelling, and data-driven decision-making for precision agriculture.

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Mukhtorov, U., B. Kakhorov, Z. Khafizova, D. Murodova, and R. Egamberdiev. "Study of monitoring of water bodies using remote sensing data and GIS technologies (Talimarjan water reservoir)." IOP Conference Series: Earth and Environmental Science 1420, no. 1 (December 1, 2024): 012007. https://doi.org/10.1088/1755-1315/1420/1/012007.

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Abstract The study of water bodies using remote sensing data and Geographic Information System (GIS) technologies is crucial for effective water resource management. This research focuses on monitoring the Talimarjan water reservoir, a vital water source in Uzbekistan, by leveraging satellite imagery and GIS tools. Remote sensing offers a cost-effective and comprehensive approach to assess various parameters, including surface area, water quality, and seasonal fluctuations in water levels. By utilizing multi-temporal satellite data, changes in the reservoir’s volume and surrounding vegetation were analyzed. The integration of GIS technologies facilitated the mapping and spatial analysis of these changes, enabling the identification of trends and potential risks, such as sedimentation and water loss. The combination of remote sensing and GIS provides valuable insights into the health and sustainability of the water reservoir, aiding in decision-making for water management authorities. This study demonstrates the effectiveness of these technologies in environmental monitoring, highlighting their potential for broader applications in the management of water resources in arid regions. Through accurate, real-time data, remote sensing and GIS help in ensuring sustainable water use, promoting efficient resource management, and mitigating the impacts of climate change on water bodies.

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Tawfik, Zaki S., and Alaa H. Al-Hamami. "Using Remote Sensing and Geographical Information System To Make Baghdad More Beautiful." Journal Port Science Research 6, special (February 14, 2024): 45–49. http://dx.doi.org/10.36371/port.2023.special.7.

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The ground of Remote Sensing and Geographical Information System (GIS) has become interesting and attractive with expanding opportunities. It provides critical tools that can be used at various levels to guide decision-making toward long-term sustainability, which in this paper, remote sensing application has used in GIS various fields. These fields such as urban plan city, education, economic development, and natural resource conservation. GIS and remote sensing technology have seen rapid growth over the last decade. This paper presents the most commonly used processing procedures for remotely sensed data, specifically image processing algorithms, as well as the application capabilities of GIS technologies. A study was conducted for the purpose of identify and mapping the temporal variability of land cover types prevalent in Baghdad Governorate using remote sensing and GIS techniques. Because of classified urban areas has increased continuously with time of the shortage and other factors in the category of water bodies over time. For this reason, we first presented processing procedures for remotely sensed data, specifically image processing techniques, as well as the application capabilities of GIS technologies. to reach the develop urban area, given green belt around Baghdad as result, second put the steps of the of urban area plan as show in Figure 1.

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Nagasawa, Ryota, and Yoshiyuki Hioki. "Vegetation Mapping using Remote Sensing and GIS." Landscape Ecology and Management 11, no. 1 (2006): 1–2. http://dx.doi.org/10.5738/jale.11.1.

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Hioki, Yoshiyuki, and Ryota Nagasawa. "Vegetation mapping using remote sensing and GIS." Landscape Ecology and Management 11, no. 2 (2007): 105. http://dx.doi.org/10.5738/jale.11.105.

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Parra, Lorena. "Remote Sensing and GIS in Environmental Monitoring." Applied Sciences 12, no. 16 (August 11, 2022): 8045. http://dx.doi.org/10.3390/app12168045.

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Yagoub, M. M., N. Al Hosani, A. Alshehhi, S. Aldhanhani, and S. Albedwawi. "REMOTE SENSING AND GIS FOR FOOD BANKS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W3-2022 (October 14, 2022): 293–99. http://dx.doi.org/10.5194/isprs-annals-x-4-w3-2022-293-2022.

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Abstract. Food banks play an important role in sustainability (saving food-reducing waste), economy, and social cohesion. Investment in food banks supports compassion, generosity, solidarity, and hospitality. The objective of this study is to demonstrate how remote sensing and geographic information system (GIS) could be used to address social and environmental problems such as food banks. In many cases data about socioeconomic is gathered using sample qualitative surveys/interviews and this lacks spatial reference. Moreover, even this data may not be available for researchers in the same way as in this study. Remote sensing was found as an effective tool and proxy to extract socioeconomic indicators such as size of building, distance between houses, streets width, and scarcity of trees/greenness (vegetative indicator). The indicators together with GIS multi-criteria and weighted overlay were used to find suitable food bank locations. The research aligns with the United Nations Sustainable Development Goals number 2, 11, and 12. Beneficiaries of this study may include charitable organizations, food producers/consumers (restaurants, hotels, individuals), and environmental departments (water, energy, waste). The methodology used in this study could be adopted by other researchers around the globe.

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Taloor, Ajay Kumar, Narsimha Adimalla, and Ajanta Goswami. "Remote Sensing and GIS applications in Geoscience." Applied Computing and Geosciences 11 (September 2021): 100065. http://dx.doi.org/10.1016/j.acags.2021.100065.

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Shi, W. Z., M. Ehlers, and M. Molenaar. "Uncertainties in integrated remote sensing and GIS." International Journal of Remote Sensing 26, no. 14 (July 2005): 2911–15. http://dx.doi.org/10.1080/01431160500197537.

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Anonymous. "Standards for mapping, remote sensing, and GIS." Eos, Transactions American Geophysical Union 71, no. 51 (1990): 1872. http://dx.doi.org/10.1029/eo071i051p01872-02.

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Nandi, Debabrata, Satyendra Nathjee, and Tanmoy Chatterjee. "Microwatershed Management Using Remote Sensing and GIS." Advanced Science Letters 22, no. 2 (February 1, 2016): 305–10. http://dx.doi.org/10.1166/asl.2016.6866.

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MISSOTTEN, R., Q. HAN, and A. AURELI. "Remote sensing and GIS activities in UNESCO." International Journal of Remote Sensing 15, no. 15 (October 1994): 3111–18. http://dx.doi.org/10.1080/01431169408954311.

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McClean, Colin. "Remote sensing and GIS in ecosystem management." Land Use Policy 13, no. 3 (July 1996): 237–38. http://dx.doi.org/10.1016/0264-8377(96)84065-8.

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Allen, Thomas R. "Advances in remote sensing and GIS analysis." Geomorphology 36, no. 3-4 (February 2001): 257–58. http://dx.doi.org/10.1016/s0169-555x(00)00027-1.

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Turker, Mustafa, and Eugene Derenyi. "GIS Assisted Change Detection Using Remote Sensing." Geocarto International 15, no. 1 (March 2000): 51–56. http://dx.doi.org/10.1080/10106040008542139.

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Richert, Scott E., and A. Alaric Sample. "Remote Sensing and GIS in Ecosystem Management." Journal of Wildlife Management 59, no. 3 (July 1995): 623. http://dx.doi.org/10.2307/3802473.

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Kumari, Alpana, and Jitendra Kumar. "Application of GIS and Remote Sensing for Developing Watershed GIS." International Journal of Scientific and Research Publications (IJSRP) 10, no. 9 (September 6, 2020): 20–30. http://dx.doi.org/10.29322/ijsrp.10.09.2020.p10505.

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Lubis, Muhammad Zainuddin, Oktavianto Gustin, Wenang Anurogo, Husnul Kausarian, Kasih Anggraini, and Aditya Hanafi. "PENERAPAN TEKNOLOGI PENGIDERAAN JAUH DI BIDANG PESISIR DAN LAUTAN." OSEANA 42, no. 3 (October 30, 2017): 56–64. http://dx.doi.org/10.14203/oseana.2017.vol.42no.3.85.

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APPLICATIONS OF REMOTE SENSING TECHNOLOGY IN COASTAL AND OCEAN Many remote sensing applications are devoted to the coastal and ocean sector. Representative case studies are presented in the special issue “Advances in Remote Sensing of coastal and ocean”. Remote sensing techniques represent a powerful tool for landslide investigation: applications are traditionally sea surface temperature, marine habitat into three main classes, although this subdivision has some limitations and borders are sometimes fuzzy in coastal and ocean. Remote sensing combined with geographic information system (GIS) can be used as a technology tool to obtain information about the object quickly and accurately, including objects in coastal and ocean areas. Remote sensing data on coastal and marine areas specifically for the region in Indonesia have been widely practiced. The use of remote sensing data and GIS in coastal and marine areas can be used to determine sea surface temperature, determination of fish catchment area, and coastline morphological changes by adding other influential parameters. It can also be used to monitor a regional change by using multi-temporal recording data such as disaster monitoring, monitoring of land cover changes in coastal areas etc. Remote sensing data essentially can be used as an alternative technology in obtaining information at a cheaper cost when compared with the conventional way.

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Chen, Yizhou. "Application Of Spatio-Temporal Remote Sensing Data Analysis in Fire Monitoring." Transactions on Environment, Energy and Earth Sciences 3 (November 26, 2024): 26–31. https://doi.org/10.62051/14b9fc20.

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This paper investigates the application of spatio-temporal remote sensing data analysis in fire monitoring, aiming to cope with the increase in the frequency of forest fires and its threat to the ecological environment and human security due to global warming and increased human activities. The study describes the application of various remote sensing techniques in fire monitoring, including Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data, infrared remote sensing, satellite hyperspectral data, and SAR techniques. The application of remote sensing data in actual fire monitoring was demonstrated through case studies of the "330 forest fire" in Muli County, Sichuan Province, and the boreal forest fire in Canada. The integration of multi-source satellite remote sensing data can improve the timeliness of monitoring and avoid the interference of complex environments, thus reducing disaster losses. This paper argues that remote sensing technology has a broad development prospect in forest fire monitoring and that the accuracy and timeliness of monitoring can be improved by further integrating GIS, innovative technologies, and algorithmic applications. The future challenge lies in strengthening the integration of remote sensing technology and GIS to enhance data processing capability and disaster prediction accuracy to provide more effective support and assurance.

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Rai, Ram Kumar, Makhan Singh Karada, Riya Mishra, Dheer Agnihotri, Kamal Kishor Patel, Satyendra Thakur, and Deepak Singh. "Transformative Role of Remote Sensing in Advancing Horticulture: Optimizing Sustainability, Efficiency and Resilience." International Journal of Environment and Climate Change 13, no. 10 (September 19, 2023): 3559–67. http://dx.doi.org/10.9734/ijecc/2023/v13i103026.

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The field of horticulture, vital for addressing global challenges like food security and sustainable agriculture, has been revolutionized by remote sensing technology. This comprehensive review explores the transformative impact of remote sensing on horticulture, emphasizing its role in optimizing resource utilization, promoting environmental sustainability, and mitigating the effects of climate change. Remote sensing, encompassing a range of sensors, satellites, and data analysis techniques, enables the collection of critical information from a distance, providing insights into crop health, soil conditions, water availability, and more. Precision agriculture, including the use of GPS and GIS, is integrated with remote sensing to enhance agricultural efficiency while minimizing environmental impacts. Site-Specific Crop Management (SSCM) is highlighted as a key component of precision agriculture, enabled by geospatial technologies, including remote sensing. It discusses how remote sensing systems, with their multispectral and multi-temporal capabilities, support various horticultural applications such as crop yield estimation, abiotic and biotic stress management, crop classification, canopy measurement, crop area estimation, and even crop insurance validation. The use of Geographic Information Systems (GIS) and the Global Positioning System (GPS) in tandem with remote sensing is explored in the context of spatial analysis, mapping, and precise navigation.

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Khan, Sikander Nawaz. "Integration of GIS with Remote Sensing and GPS for Disaster Mitigation." Journal of Disaster Research 10, no. 2 (April 1, 2015): 225–30. http://dx.doi.org/10.20965/jdr.2015.p0225.

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Natural disasters like flood, earthquake, cyclone, volcanic eruption and others are causing immense losses to the property and lives every year. Current status and actual loss information on natural hazards can be determined and also prediction for next probable disasters can be made using different remote sensing and mapping technologies. Global Positioning System (GPS) calculates the exact position of damage. It can also communicate with wireless sensor nodes embedded in potentially dangerous places. GPS provides precise and accurate locations and other related information like speed, track, direction and distance of target objects to emergency responders.Remote Sensing facilitates to map damages without having physical contact with target area. Now with the addition of more remote sensing satellites and other advancements, early warning system is used very efficiently. Remote sensing is being used both at local and global scale. High Resolution Satellite Imagery (HRSI), airborne remote sensing and space-borne remote sensing is playing a vital role in disaster management.Early in Geographic Information System (GIS) was used to collect, arrange, and map the spatial information, but now it has the capability to analyze spatial data. This analytical ability of GIS is the main cause of its adoption by different emergency service providers like the police and ambulance service.The full potential of these so called 3S technologies cannot be used alone. Integration of GPS and other remote sensing techniques with GIS has pointed new horizons in modeling of earth science activities. Many remote sensing cases, including Asian Ocean Tsunami in 2004, Mount Mangart landslides and Pakistan-India earthquake in 2005 are described in this paper.

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Sun, Siqiu, and Tianbo Xiong. "Application of Remote Sensing Technology in Sustainable Urban Planning and Development." Applied and Computational Engineering 3, no. 1 (May 25, 2023): 283–88. http://dx.doi.org/10.54254/2755-2721/3/20230475.

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Urban planning is super vital for cities. Good planning for the city would provide more convenience and benefits to citizens through economic effects, beautiful scenery and so on. This study analyses the application of remote sensing technologies in urban landscaping planning, transportation, and environmental protection. The combination of remote sensing and GIS technologies makes urban landscaping planning more accessible in urban landscaping planning. Usually, remote sensing provides satellite images, while the GIS processes the image and compares the target region for analysis. The combination method could predict urban green spaces. In urban transportation planning, remote sensing technology could combine with Artificial intelligence smart video technology to protect peoples safety in transportation, such as observing traffic violations by capturing videos or images and protecting traffic safety. In environmental protection, remote sensing could monitor the area change of wetlands and solve the natural disasters around the city. Different approaches have their benefits and disadvantages, and thus making urban plans by combining various techniques is essential.

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