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Journal articles on the topic 'RS/GIS'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Yao, Ya, Xinyuan Wang, Lei Luo, Hong Wan, and Hongge Ren. "An Overview of GIS-RS Applications for Archaeological and Cultural Heritage under the DBAR-Heritage Mission." Remote Sensing 15, no. 24 (2023): 5766. http://dx.doi.org/10.3390/rs15245766.

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In recent decades, the application of GIS and RS in archaeological and cultural heritage (ACH) has witnessed a notable surge both in terms of quantity and scope. During the initial implementation period (2016–2021) of the Digital Belt and Road Heritage (DBAR-Heritage) working group, several instances of GIS-RS-based applications in support of cultural heritage conservation have merged. In this paper, in order to discuss the great potential of GIS and RS on the Silk Road, an overview of GIS- and RS-based applications in ACH is first presented. In a substantial portion of the published scientifi

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Kieu, Quoc-lap, Tien-thanh Nguyen, and Anh-huy Hoang. "Gis And Remote Sensing: A Review Of Applications To The Study Of The Covid-19 Pandemic." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 14, no. 4 (2021): 117–24. http://dx.doi.org/10.24057/2071-9388-2021-054.

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The spread of the 2019 novel coronavirus disease (COVID-19) has engulfed the world with a rapid, unexpected, and far-reaching global crisis. In the study of COVID-19, Geographic Information Systems (GIS) and Remote Sensing (RS) have played an important role in many aspects, especially in the fight against COVID-19. This review summarises 102 scientific papers on applications of GIS and RS on studies of the COVID-19 pandemic. In this study, two themes of GIS and RS-related applications are grouped into the six categories of studies of the COVID-19 including spatio-temporal changes, WebGISbased

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DR., ANURADHA LAKRA. "APPLICATIONS OF REMOTE SENSING AND GIS IN NATURAL RESOURCE MANAGEMENT." International Educational Scientific Research Journal 11, no. 2 (2025): 39–42. https://doi.org/10.5281/zenodo.14840326.

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Remote Sensing (RS) and Geographic Information Systems (GIS) are pivotal in natural resource management, enabling efficient monitoring, analysis, and sustainable planning. RS technology provides accurate and real-time data through satellite imagery and aerial photography, offering insights into land use, vegetation cover, water resources, and climate patterns. GIS integrates this spatial data with other datasets, facilitating comprehensive mapping, modeling, and decision-making. These tools are essential for biodiversity conservation, forest management, agriculture, water resource assessment,

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Rai, Vishakha, Sangya Singh, Yagini Tekam, Sunil Kumar Upadhyay, and David Kumar Sahu. "Enhancing Soil Degradation Assessment through the Integration of GIS and RS: A Comprehensive Review." International Journal of Environment and Climate Change 13, no. 9 (2023): 2622–32. http://dx.doi.org/10.9734/ijecc/2023/v13i92559.

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GIS and RS are powerful tools that play a crucial role in natural resource management, especially when it comes to assessing soil degradation. Soil degradation is a long-standing global problem, and to understand the role of GIS and RS in addressing it, data from secondary sources were collected and analyzed. Several researchers have utilized GIS and RS, integrated with the Universal Soil Loss Equation (USLE), to assess soil degradation. Their findings reveal that soil erosion, triggered primarily by water, is a critical form of land degradation. This erosion significantly reduces the potentia

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Teshaev, Nozimjon, Bobomurod Makhsudov, Izzatilla Ikramov, and Nuriddin Mirjalalov. "Advances and Prospects in Machine Learning for GIS and Remote Sensing: A Comprehensive Review of Applications and Research Frontiers." E3S Web of Conferences 590 (2024): 03010. http://dx.doi.org/10.1051/e3sconf/202459003010.

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Machine learning (ML) has emerged as a transformative tool in the fields of Geographic Information Systems (GIS) and Remote Sensing (RS), enabling more accurate and efficient analysis of spatial data. This article provides an in-depth exploration of the various types of machines learning algorithms, including supervised, unsupervised, and reinforcement learning, and their specific applications in GIS and RS. The integration of ML in these fields has significantly enhanced capabilities in tasks such as land cover classification, crop mapping, and environmental monitoring. Despite its potential,

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Remilla, M., and J. K. Kishore. "CAPACITY BUILDING FOR RS & GIS TECHNOLOGY APPLICATIONS: STUDENT REMOTE SENSING AND GEOSPATIAL PROGRAMME IN ACADEMIC INSTITUTIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 27, 2018): 907–11. http://dx.doi.org/10.5194/isprs-archives-xlii-5-907-2018.

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<p><strong>Abstract.</strong> Digital India program aims to transform India into a knowledge economy with Smart Cities / Smart Villages etc. It depends significantly on Remote Sensing (RS) and Geographic Information Systems (GIS). It requires enormous computing Infrastructure and RS-GIS trained professionals along with Information and Communications Technology (ICT). Satellite based Earth Observation (EO) data volumes are increasing at a rate of several Terabytes a Day in heterogeneous formats (different spatial and temporal resolutions in optical, thermal and microwave). The

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Nabukonde, Ameria, Alex Barakagira, and Dammalie Akwango. "The Use of Geographical Information System (GIS) and Remote Sensing (RS) Technologies in Generation of Information Used to Mitigate Risks from Landslide Disasters: An Application Review." Archives of Current Research International 23, no. 2 (2023): 43–49. http://dx.doi.org/10.9734/acri/2023/v23i2558.

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Landslides, whether induced by nature, or human activities, are one of the most prominent disasters which are of great concern in the world. They cause a lot of havoc to the environment hence a necessity to avoid them whenever possible. This literature review is basically aimed at finding out how Geographical Information System (GIS) and Remote Sensing (RS) technologies are used in avoiding landslides and risks associated with them at different levels; Challenges encountered while using GIS and RS techniques for landslide disaster risk reduction are identified; and therefore, dealing with them

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Mendoza, Manuel, Gerardo Bocco, and Miguel Bravo. "Spatial prediction in hydrology: status and implications in the estimation of hydrological processes for applied research." Progress in Physical Geography: Earth and Environment 26, no. 3 (2002): 319–38. http://dx.doi.org/10.1191/0309133302pp335ra.

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Based on a review of research, the linkages between distributed hydrological modelling (DHM) remote sensing (RS) and geographical information system (GIS) techniques, coupled with geomorphological knowledge are discussed. While presenting characteristics of the models, techniques, and supporting analytical tools of geographical hydrology, the emphasis is on the estimation of hydrological variables. The first is limited to the spatialization and integration of low resolution meteorological data with hydrological models in a GIS environment. The second includes research in the calculation of pre

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Chen, Zeqiang, Hui Lin, Min Chen, Deer Liu, Ying Bao, and Yulin Ding. "A Framework for Sharing and Integrating Remote Sensing and GIS Models Based on Web Service." Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/354919.

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Sharing and integrating Remote Sensing (RS) and Geographic Information System/Science (GIS) models are critical for developing practical application systems. Facilitating model sharing and model integration is a problem for model publishers and model users, respectively. To address this problem, a framework based on a Web service for sharing and integrating RS and GIS models is proposed in this paper. The fundamental idea of the framework is to publish heterogeneous RS and GIS models into standard Web services for sharing and interoperation and then to integrate the RS and GIS models using Web

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Risna, Rosniati A., Lilik Budi Prasetyo, Eimear Nic Lughadha, Muhammad Nur Aidi, Damayanti Buchori, and Dian Latifah. "Forest resilience research using remote sensing and GIS – A systematic literature review." IOP Conference Series: Earth and Environmental Science 1266, no. 1 (2023): 012086. http://dx.doi.org/10.1088/1755-1315/1266/1/012086.

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Abstract Forest resilience assessment is increasingly important given the current global environmental change. However, attributes and indicators to quantify forest resilience still need to be explored. Remote sensing (RS) and Geographical Information System (GIS) techniques are widely applied for forest resilience modeling. A bibliometric analysis was conducted to obtain insights concerning methods for quantifying forest resilience using RS/GIS. VosViewer and Bibliometrix R software were applied to analyze 117 articles from the Web of Science global database covering a period of 2011-2021. Us

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Chen, Yang, and Chan Tao. "Design and Research of Green Fields in Urban Parks Based on RS and GIS Technology." Applied Mechanics and Materials 687-691 (November 2014): 3849–52. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3849.

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Urban green fields planning is an important part of urban resources and the environment building, with the rapid development of remote sensing (RS) and geographic information systems (GIS) technology, urban parks and green building research are going with new ideas and methods. This paper discusses the application of RS and GIS technology direction and mode of its application process in green field planning.

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Gabi, Alhassan Usman, and Nazirah Mohamad Abdullah. "Optimizing Biodiversity Conservation in Sundaland through Advanced Geospatial Techniques and Remote Sensing Technologies." BIO Web of Conferences 94 (2024): 07002. http://dx.doi.org/10.1051/bioconf/20249407002.

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Sundaland ecosystems are under threat from human activity and climate change such as logging, agricultural practices, overexploitation of wildlife and climatic change that have led to frequent forest fires and a decline in indigenous plant and animal species. This study investigates the risks to Sundaland's biodiversity as well as the management possibilities using GIS, RS, and AI. The goal was to find out how artificial intelligence (AI) can be applied to effectively manage biodiversity and expand on the body of knowledge already available about the useful roles that GIS and RS play in the ar

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Sun, Tao, Rong Li, Hai Ying Deng, and Xiao Tao Li. "Flood Disaster Monitoring and Evaluation System Based on GIS and Remote Sensing: Case Study in Hejiang River." Applied Mechanics and Materials 239-240 (December 2012): 560–64. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.560.

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Flood disaster occurs frequently in Hejiang watershed, Guangxi province which causes huge economic and social losses. Remote sensing technique (RS) has the advantage of quickness, economy, objectiveness and large observation area. As is known to all, geographic information system (GIS) is good at analyzing and dealing with spatial data. Based on GIS, RS and hydrological and hydraulic models, flood disaster evaluation system of Hejiang river is developed which realizes the seamless connection of GIS platform with Xinanjiang model and Muskingum model. GIS system combined with necessary informati

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Bao, Weixiang. "Application of GIS and RS in Petroleum Exploration." E3S Web of Conferences 553 (2024): 04003. http://dx.doi.org/10.1051/e3sconf/202455304003.

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As the world’s demand for energy continues to increase, the efficiency and accuracy of exploration and exploitation of oil and gas resources have become increasingly important. The development of GIS and RS technologies has provided unprecedented convenience and opportunities for the exploitation of oil and gas resources. GIS and RS technologies have played a revolutionary role in pinpointing potential oil and gas fields, evaluating exploration risks, and monitoring the environmental impacts of exploitation activities. This paper focuses on the application of GIS and RS technologies in the fie

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Tarate, Suryakant Bajirao, N. R. Patel, Abhishek Danodia, Shweta Pokhariyal, and Bikash Ranjan Parida. "Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review." Geomatics 4, no. 2 (2024): 91–122. http://dx.doi.org/10.3390/geomatics4020006.

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Effective management of water resources is crucial for sustainable development in any region. When considering computer-aided analysis for resource management, geospatial technology, i.e., the use of remote sensing (RS) combined with Geographic Information Systems (GIS) proves to be highly valuable. Geospatial technology is more cost-effective and requires less labor compared to ground-based surveys, making it highly suitable for a wide range of agricultural applications. Effectively utilizing the timely, accurate, and objective data provided by RS technologies presents a crucial challenge in

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Samirsinh, P. Parmar. "Water Resource Management Using Artificial Intelligence Enabled RS & GIS." Journal of Water Resource Research and Development 6, no. 1 (2023): 29–41. https://doi.org/10.5281/zenodo.7878771.

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<em>Research and applications of RS & GIS in water resources management were practiced in the last two decades. The pitfalls and shortcomings of GIS technology can be minimized by artificial intelligence. Artificial intelligence (AI)-based techniques have become more prevalent in recent years because of the most appropriate applications with precision. Compared to sectors like energy, healthcare, or transportation, the usage of AI-based techniques in the water domain is comparatively modest. This paper reviews current AI applications for managing water resources and offers some speculative

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Zhang, Qiuwen, Yan Zhang, Xiaohong Yang, and Bin Su. "Automatic Recognition of Seismic Intensity Based on RS and GIS: A Case Study in Wenchuan Ms8.0 Earthquake of China." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/878149.

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In recent years, earthquakes have frequently occurred all over the world, which caused huge casualties and economic losses. It is very necessary and urgent to obtain the seismic intensity map timely so as to master the distribution of the disaster and provide supports for quick earthquake relief. Compared with traditional methods of drawing seismic intensity map, which require many investigations in the field of earthquake area or are too dependent on the empirical formulas, spatial information technologies such as Remote Sensing (RS) and Geographical Information System (GIS) can provide fast

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Juliev, M., I. Jumaniyazov, I. Togaev, et al. "Land degradation in Central Asia: a review of papers from the Scopus database published in English for the period of 2000-2020." E3S Web of Conferences 462 (2023): 03020. http://dx.doi.org/10.1051/e3sconf/202346203020.

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Land degradation has a big influence for Central Asia. The territory of Central Asia is rarely discovered and it can be seen by the number of published papers in English. There is a high potential of applying remote sensing (RS) and geographical information systems (GIS) for the mapping and monitoring of degraded lands. In the present research we tried to collect all Scopus-based publications in English for 20 years using land degradation as a keyword. We analyzed the most popular journals, top authors, top-cited papers, top countries, and the role of remote sensing (RS) and geographic informa

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Karia, Jessica, and G. Kiran. "Forest management plan inputs using RS-GIS Techniques." Indian Journal of Forestry 29, no. 3 (2006): 239–44. http://dx.doi.org/10.54207/bsmps1000-2006-40n5st.

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The scientific management plan for the forests of Sajwa round of Vadodara District was prepared using Remote Sensing and Geographical Information System (GIS) technique. This study was undertaken to evaluate the present management plan and suggest changes for better management of the forests. Suggestions were made based on IRS 1C, 1999 satellite data and the field data collected from forests. According to the analysis, the status of the forests was found degraded. Therefore, most of the forest patches from the round may be included in the afforestation working circle for better management. Als

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M. Al-Ismaili, Abdulrahim. "GIS and remote sensing techniques in Controlled Environment Agriculture: A review." Journal of Agricultural and Marine Sciences [JAMS] 26, no. 2 (2021): 10–23. http://dx.doi.org/10.53541/jams.vol26iss2pp10-23.

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Geographic Information System (GIS) and Remote Sensing (RS) are useful tools in environmental monitoring, evaluation and analysis for various sectors including agriculture. This paper reviews the applications of GIS, RS and the integration of both techniques in the agricultural field, in general, and Controlled Environment Agriculture (CEA), in particular. More emphasis is given to their applications in arid areas and Oman is taken as a case study. GIS techniques have been used in the mapping of soil and water quality, spatial assessment for water quantity stress, land suitability, pest and di

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DANIEL, M., J. KOLÁŘ, and P. ZEMAN. "GIS tools for tick and tick-borne disease occurrence." Parasitology 129, S1 (2004): S329—S352. http://dx.doi.org/10.1017/s0031182004006080.

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Geographic information systems (GIS), their fundamental components and technologies are described. GIS is a computer-based system enabling the storage, integration, query, display and analysis of data using information on data location. Further, remote sensing (RS) methods and their application in landscape characterization are described. Landscape pattern analysis, combined with statistical analysis, allows the determination of landscape predictors of disease risk. This makes RS/GIS a powerful set of tools for disease surveillance, enabling the prediction of potential disease outbreaks and ta

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Hrabalikova and Finger. "Monitoring of Carbon Sequestration in Iceland Using Remote Sensing Technology: An Overview of the LanDeg Project." Proceedings 30, no. 1 (2019): 39. http://dx.doi.org/10.3390/proceedings2019030039.

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The monitoring of restoration and forestation is essential to reduce future drought and flood risk as well as ongoing carbon sequestration projects in Iceland. This is especially relevant for Iceland’s efforts to become carbon neutral by 2040. Such a monitoring can be done by using the state-of-art remote sensing technology, using remotely sensed data and digital mapping approaches. The LanDeg project will use free Geographic Information System (GIS) and Remote Sensing (RS) data to map soil degradation, restoration and ongoing forestation efforts to assess carbon sequestration. For this purpos

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Schneevoigt, N. J., and L. Schrott. "Linking geomorphic systems theory and remote sensing : a conceptual approach to Alpine landform detection (Reintal, Bavarian Alps, Germany)." Geographica Helvetica 61, no. 3 (2006): 181–90. http://dx.doi.org/10.5194/gh-61-181-2006.

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Abstract. Although the global importance of high mountains is increasingly being recognised, their geomorphic process System has not been completely understood as yet. While Systems theory and geographical information Systems (GIS) approaches have been long-serving in alpine geomorphology, the implementation of remote sensing (RS) tools is still rare. However, objeet-oriented image analysis lends itself to alpine applications, as it unites the benefits of RS and GIS. The Systems approach and the object-oriented classification of an ASTER satellite scene with digital elevation information are p

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Phyllis Ang-E-Mwin Gyang, Oluwabunmi Akomolafe, Benjamin Panful, and Isaac Amornortey Yowetu. "A review of integrated use of machine learning algorithms, GIS and remote sensing techniques in the prediction of rainfall patterns and floods in the U. S." World Journal of Advanced Engineering Technology and Sciences 14, no. 1 (2025): 159–67. https://doi.org/10.30574/wjaets.2025.14.1.0025.

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This paper systematically reviews the integrated use of machine learning algorithms, Geographic Information Systems (GIS), and Remote Sensing (RS) techniques in the prediction of rainfall patterns and flood events in the U.S. With increasing climate variability, accurate forecasting of rainfall and flood risks has become critical to safeguarding communities and infrastructure. GIS enables spatial analysis and mapping of flood-prone areas, supporting risk assessment and disaster preparedness. RS contributes real-time satellite imagery and environmental data, essential for tracking rainfall patt

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Choudhary, Sangeeta, Denis Jangeed, Sachin Sharma, Maya Chaudhary, Pooja Gupta, and Priyanka Pandey. "Assessment of Under Ground Water Resources through RS and GIS Techniques." IOP Conference Series: Earth and Environmental Science 1279, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1755-1315/1279/1/012010.

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Abstract Water resource management is of utmost importance due to climate change and increased water demand. With 98% of the world’s freshwater being ground water, monitoring its distribution is crucial. These modern-day tools aid in assessing changing land use patterns, mapping water resources, and analyzing hydrogeological data. This paper explores the role of RS and GIS applications in exploring and assessing groundwater resources, estimating natural recharge distribution, analyzing hydrogeological data, and monitoring processes. The study area is situated in the Jodhpur district of Rajasth

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AS KHAIRULLAH, MOHAMMAD AL AMIR, and ANG KEAN HUA. "PELAKSANAAN RANTAIAN CA-MARKOV MERAMALKAN PERUBAHAN GUNA TANAH DI SABAH, MALAYSIA." Quantum Journal of Social Sciences and Humanities 5, no. 1 (2024): 1–15. http://dx.doi.org/10.55197/qjssh.v5i1.321.

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Perubahan guna tanah dan litupan tanah (LULC) mempunyai impak yang tinggi terhadap alam sekitar kerana mempunyai hubungkait secara langsung terhadap kemerosotan tanah dalam tempoh tertentu dan memberi implikasi kepada alam sekitar. Pemantauan perubahan guna tanah/litupan tanah (LULC) adalah penting untuk strategi perancangan sesuatu kawasan terutamanya dari segi aspek pembangunan. Sistem Maklumat Geografi (GIS) dan Penderiaan jauh (RS) merupakan salah satu perisian yang digunakan dalam mengurus dan menganalisis maklumat ruang geografi melalui visualisasi statistik geografi yang melibatkan data

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Suthar, Mr Vikas Pradeep. "Watershed Management of Purandar Taluka by Remote Sensing and GIS: A Review." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 835–38. http://dx.doi.org/10.22214/ijraset.2022.39906.

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Abstract: Morphometric analysis by using RS and GIS has emerged as an effective technique for the investigation and management of the watershed. Morphometric analysis can solve various hydrological problems like flood, drought, soil erosion. In this analysis, linear, aerial, and relief aspects of the watershed are used. Toposheet of a survey of India (SOI), digital elevation model (DEM), software like ArcGIS, satellite data from IRS 1D LISS- 3 sensor are the key resources for measurement of various morphometric parameters. Keywords: Morphometric Analysis, GIS, Remote Sensing, RS, ArcGIS, Morph

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Madushani, Jathun Arachchige Thilini, Neel Chaminda Withanage, Prabuddh Kumar Mishra, Gowhar Meraj, Caxton Griffith Kibebe, and Pankaj Kumar. "Thematic and Bibliometric Review of Remote Sensing and Geographic Information System-Based Flood Disaster Studies in South Asia During 2004–2024." Sustainability 17, no. 1 (2024): 217. https://doi.org/10.3390/su17010217.

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Floods have catastrophic effects worldwide, particularly in monsoonal Asia. This systematic review investigates the literature from the past two decades, focusing on the use of remote sensing (RS), Geographic Information Systems (GISs), and technologies for flood disaster management in South Asia, and addresses the urgent need for effective strategies in the face of escalating flood disasters. This study emphasizes the importance of tailored GIS- and RS-based flood disaster studies inspired by diverse research, particularly in India, Pakistan, Bangladesh, Sri Lanka, Nepal, Bhutan, Afghanistan,

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Hassan, Noha A., Mohamed H. Khalil, and Mahmoud Ghaleb. "Magnetic and Geo-electrical Geophysical Techniques for Subsurface Delineation and Groundwater Assessment in Ras Matarma, Sinai." Journal of Environmental and Engineering Geophysics 25, no. 3 (2020): 425–31. http://dx.doi.org/10.32389/jeeg20-007.

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Groundwater constitutes the main source of the freshwater in Ras-Matarma, Sinai, which necessitates optimized management of it. In this context, geophysical ground magnetic, Schlumberger resistivity inversion, remote sensing (RS), geographic information system (GIS), and pumping tests were conducted. The magnetic survey comprised 56 profiles, whereas, Schlumberger resistivity survey were 27 VES. GIS and RS were implemented for watershed analyses in the area. Interpretation of the magnetic data separated significantly the shallow and deep structures with depths ranged from 300 to 1400 m. Qualit

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Dang, Xinghai, and Yajie Sun. "Estimation of soil erosion in loess plateau based on geographic information system." Journal of Geography and Cartography 5, no. 1 (2021): 1. http://dx.doi.org/10.24294/jgc.v5i1.1410.

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One of the core problems in soil erosion research is the estimation of soil erosion. It is a feasible method and technical approach to estimate soil erosion in Loess Plateau region by using USLE model, GIS and RS technology and using DEM data, meteorological data and land-use type data. With the support of GIS and RS technology, the USLE factors and soil erosion in Loess Plateau region were estimated, and the soil erosion intensity was classified according to the Chinese soil erosion intensity classification standard. The results can provide reference for the development of soil erosion contro

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Zhao, Wen Ju, Wei Sun, Zong Li Li, Yan Wei Fan, Jian Shu Song, and Li Rong Wang. "A Review on SWAT Model for Stream Flow Simulation." Advanced Materials Research 726-731 (August 2013): 3792–98. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.3792.

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SWAT (Soil and Water Assessment Tool) model is one of distributed hydrological model, based on spatial data offered by GIS and RS. This article mainly introduces the SWAT model principle, structure, and it is the application of stream flow simulation in China and other countries, then points out the deficiency existing in the process of model research. In order to service in water resources management work better, experts and scholars further research the rate constant and uncertainty of the simplification of the model parameters, and the combination of RS and GIS to use, and hydrological scal

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Wang, Zhi Wang, Duan You Li, and Jing Ning. "Zonation of the Landslide Hazards Based on Artificial Neural Network." Applied Mechanics and Materials 204-208 (October 2012): 3389–92. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.3389.

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This paper applies RS and GIS technology to study zonation of the landslide hazards in the study area from Badong county to Zigui county in TGP reservoir region. The causative factors involves lithology, distance to faults, slope angle, slope aspect, elevation, drainage network, distance to river and distribution of plant, which are derived from geological map, Spot imagery data and Digital Elevation Model (DEM) based on RS and GIS technology. We analyze the zonation of the landslide hazards with artificial neural network. The research result is very coincident with the occurrence of the known

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Lakra, Deepanshu, Suraj Kumar Singh, Saurabh Kumar Gupta, and Shruti Kanga. "Enhancing integrated resource management through remote sensing and GIS." Journal of Geography and Cartography 7, no. 1 (2024): 4265. http://dx.doi.org/10.24294/jgc.v7i1.4265.

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Integrated Resource Management plays a crucial role in sustainable development by ensuring efficient allocation and utilization of natural resources. Remote Sensing (RS) and Geographic Information System (GIS) have emerged as powerful tools for collecting, analyzing, and managing spatial data, enabling comprehensive and integrated decision-making processes. This review article uniquely focuses on Integrated Resource Management (IRM) and its role in sustainable development. It specifically examines the application of RS and GIS in IRM across various resource management domains. The article stan

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Ma, Chi. "Study on Soil Salinization Based on GIS and RS." Applied Mechanics and Materials 333-335 (July 2013): 81–85. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.81.

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This paper obtained the surface reflectance image by using FLAASH atmospheric correction model to conduct atmospheric correction to the HSI image. After the reflectance image was processed with multi mathematical manipulations, the analytical method of geographic information system (GIS) was applied to carry out the partial least squares regression (PLSR) analysis with the measured value of soil salinity, thus quantitatively inverting the soil salinity in Songliao Plain. The research result indicated that the reflectance of HSI hyperspectral imaging can increase the related coefficient R2 of s

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Sun, Ling, and Ze Sheng Zhu. "A RS/GIS-Based System for Monitoring Malaria Epidemic." Advanced Materials Research 790 (September 2013): 579–82. http://dx.doi.org/10.4028/www.scientific.net/amr.790.579.

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This system essentially implements the information from RS and GIS associated with malaria epidemic modeling, and increases precision of malaria epidemic modeling by the information representing physical and logical fusion objects subject to malaria epidemic monitoring. This work focuses on the system architecture model and related design issues, including area and type estimation of malaria epidemic, whereas we use the model as a tool of data fusion to avoid the parameter estimation problems in complex environments.

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Farahani, Meysam Davoodabadi, and Hamid Aghajani. "Identification of Potential Groundwater Zones Using RS and GIS." Journal of Research in Science, Engineering and Technology 1, no. 04 (2019): 5–8. http://dx.doi.org/10.24200/jrset.vol1iss04pp5-8.

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Exploration of groundwater resources requires recognition of regions and their potential sources. Because of high importance in the karstic regions and their significant role in providing needed water, efforts to explore new sources of Karst is inevitable. Checking discontinuities is always an important issue in karst studies. Because of high discontinuities in rock masses, permeable areas will be created, they cause appropriate groundwater paths to flow methodology: Recognition of these regions is possible through geophysical methods based on physical characteristics of these areas such as de

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Wang, Shi-Xin, Ming Shang, Yi Zhou, Wen-Liang Liu, Feng Wang, and Li-Tao Wang. "Resources and Environmental Carrying Capacity Using RS and GIS." Polish Journal of Environmental Studies 26, no. 6 (2017): 2793–800. http://dx.doi.org/10.15244/pjoes/70927.

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Dang, Anrong, Huizhen Shi, and Qizhi Mao. "GIS and RS Application Study on Urban Dynamic Development." Annals of GIS 8, no. 2 (2002): 122–27. http://dx.doi.org/10.1080/10824000209480580.

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Nastasi, Benedetto, and Meysam Majidi Nezhad. "GIS and Remote Sensing for Renewable Energy Assessment and Maps." Energies 15, no. 1 (2021): 14. http://dx.doi.org/10.3390/en15010014.

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Manan, Parmar*1 Shital Shukla1 &. M.H.Kalubarme2. "IMPACTOF CLIMATECHANGEAND DROUGHT ANALYSISON AGRICULTURE IN SABARKANTHA DISTRICTUSING GEOINFORMATICS TECHNOLOGY." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES6 6, no. 5 (2019): 133–44. https://doi.org/10.5281/zenodo.2751054.

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Drought is a long duration dry period in natural Climate Cycle.it is defined as “Severe water shortage”. In recent years, Geographic Information System (GIS) and Remote Sensing (RS) have played a key role in studying different types of hazards either man-made or natural. This Study stresses upon the use of GIS and RS in the field of climate change and drought impact on agriculture. Different indices were computed using Landsat-7 data of January 2002 and Landsat-8 data of February 2018 as well as meteorological data for drought severity assessment in Sabarkanta district, Gujrat Stat

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Qwaider, Sara, Baqer Al-Ramadan, Md Shafiullah, Asif Islam, and Muhammed Y. Worku. "GIS-Based Progress Monitoring of SDGs towards Achieving Saudi Vision 2030." Remote Sensing 15, no. 24 (2023): 5770. http://dx.doi.org/10.3390/rs15245770.

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The United Nations (UN) Sustainable Development Goals (SDGs) serve as a blueprint for securing a sustainable, healthy, and just future for people and the environment. Through the implementation of various policies and initiatives for Vision 2030, the Kingdom of Saudi Arabia has significantly advanced its SDGs. Geographic information systems (GIS) and remote sensing (RS) technologies can play vital roles in tracking and assessing the progress of various government measures. This study investigated the potential of satellite-based RS and GIS technologies for planning, evaluating, and monitoring

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M., Rajasekhar, Sudarsana Raju G., Nanabhau Kudnar, Ramachandra M., and Pradeep Kumar B. "Multi-criteria Land Suitability Analysis for Agriculture in Semi-Arid Region of Kadapa District, Southern India: Geospatial Approaches." Remote Sensing of Land 5, no. 2 (2021): 59–72. http://dx.doi.org/10.21523/gcj1.2021050201.

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This research proposes an integrated methodology for incorporating RS, GIS and AHP techniques for the assessment of agricultural land suitability. In Kadapa district, Andhra Pradesh, India, study is being done on how to best promote agriculture as a source of income to boost the economy of the region. A combined RS, GIS and AHP techniques has been utilized that incorporates organizing AHP hierarchy, criteria specification, pairwise comparison, and criterion map preparation. Land suitability comparison showed that an area of 4.42 km2 (2.62%) is appropriate for irrigation, while an area of 54.39

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Jung, Hyung-Sup, and Saro Lee. "Remote Sensing and Geoscience Information Systems Applied to Groundwater Research." Remote Sensing 13, no. 11 (2021): 2086. http://dx.doi.org/10.3390/rs13112086.

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Raihan, Asif. "A Systematic Review of Geographic Information Systems (GIS) in Agriculture for Evidence-Based Decision Making and Sustainability." Global Sustainability Research 3, no. 1 (2024): 1–24. http://dx.doi.org/10.56556/gssr.v3i1.636.

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The aim of this study was to consolidate current information on the utilization of Geographic Information Systems (GIS) and Remote Sensing (RS) in the agricultural sector, with a focus on their role in promoting evidence-based policies and practices to enhance agricultural sustainability. Additionally, this review sought to identify the challenges hindering the widespread adoption of GIS and RS applications, particularly in low- and middle-income nations. This study employed the methodology of systematic literature review. The findings indicate that the utilization of GIS technology in the agr

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Oluwole Olakunle Ajayi, Busayo Wright-Ajayi, Lateefat Abiodun Mosaku, et al. "Application of satellite imagery for vector-borne disease monitoring in sub-Saharan Africa: An overview." GSC Advanced Research and Reviews 18, no. 3 (2024): 400–411. http://dx.doi.org/10.30574/gscarr.2024.18.3.0119.

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This work presents an overview of the application of satellite imagery or remote sensing (RS) data for vector-borne disease (VBD) monitoring in sub-Saharan Africa. We discussed the different vector-borne disease conditions that are prevalent and endemic in parts of sub-Saharan Africa and how satellite imagery (RS data) can be used in monitoring these conditions. Key disease conditions considered include malaria, human African trypanosomiasis, leishmaniasis, lymphatic filariasis, loa loa filariasis, rift valley fever, dengue, yellow fever, and rickettsioses. Furthermore, we explored some of the

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Oluwole, Olakunle Ajayi, Wright-Ajayi Busayo, Abiodun Mosaku Lateefat, et al. "Application of satellite imagery for vector-borne disease monitoring in sub-Saharan Africa: An overview." GSC Advanced Research and Reviews 18, no. 3 (2024): 400–411. https://doi.org/10.5281/zenodo.11217585.

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This work presents an overview of the application of satellite imagery or remote sensing (RS) data for vector-borne disease (VBD) monitoring in sub-Saharan Africa. We discussed the different vector-borne disease conditions that are prevalent and endemic in parts of sub-Saharan Africa and how satellite imagery (RS data) can be used in monitoring these conditions. Key disease conditions considered include malaria, human African trypanosomiasis, leishmaniasis, lymphatic filariasis, loa loa filariasis, rift valley fever, dengue, yellow fever, and rickettsioses. Furthermore, we explored some of the

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Dossa, Kossivi Fabrice, and Yann Emmanuel Miassi. "Remote Sensing Methods and GIS Approaches for Carbon Sequestration Measurement: A General Review." International Journal of Environment and Climate Change 14, no. 7 (2024): 222–33. http://dx.doi.org/10.9734/ijecc/2024/v14i74265.

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Geospatial technologies like Remote Sensing (RS) and Geographic Information Systems (GIS) provide a platform for swiftly evaluating terrestrial Carbon Stock (CS) across extensive regions. Employing an integrated RS-GIS method for estimating Above-Ground Biomass (AGB) and precise carbon management emerges as a timely and economical strategy for implementing effective management plans on a localized and regional level. This study reviews different RS-related techniques utilized in CS assessment, particularly in arid lands, shedding light on the challenges, opportunities, and future trends associ

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Wang, Zhi Wang, Jian Hua Zhang, and Duan You Li. "Application of Fuzzy Weights of Evidence Method in Landslide Susceptibility Assessment Based on GIS." Advanced Materials Research 864-867 (December 2013): 2756–59. http://dx.doi.org/10.4028/www.scientific.net/amr.864-867.2756.

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This paper deals with landslide hazards susceptibility assessment in the study area from Zigui to Badong counties in TGP reservoir region using RS and GIS technology. The causative factors including lithology, distance to faults, elevation, slope aspect, slope angle, drainage network, distance to river and distribution of plant are derived from geological map, Digital Elevation Model (DEM) and Spot imagery data using RS and GIS technology. The paper analyzes landslide susceptibility assessment using fuzzy weights of evidence method, which could combine knowledge-based fuzzy membership values w

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Wen, Shi Yong, Li Li Song, Dong Zhi Zhao, and Hua Long. "Vulnerability Degree Assessment of Red Tide Disaster Based on High-Resolution RS Images and GIS." Key Engineering Materials 500 (January 2012): 481–86. http://dx.doi.org/10.4028/www.scientific.net/kem.500.481.

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To calculate and analyses the spatial distribution of the red tide disaster receptors vulnerability degree, a high-resolution RS images and GIS-based method was proposed. According to the vulnerability content of natural disaster, the damage characteristic of red tide disaster and the sample characteristic spectrum, the definition of the vulnerability of red tide disaster receptors was defined and its value ranging from 0 to 1. The spatial distribution information extraction methods of the vulnerability assessment indicators based on high-resolution RS image were established. A GIS-based metho

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Pathmanandakumar, Vyddiyaratnam, Nadarajapillai Thasarathan, and Manjula Ranagalage. "An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques." ISPRS International Journal of Geo-Information 10, no. 11 (2021): 730. http://dx.doi.org/10.3390/ijgi10110730.

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The scarcity of surface water resources in the dry season in the Kilinochchi district increases the demand for freshwater. Therefore, the main objective of this study is to delineate potential groundwater zones in Kilinochchi, Sri Lanka, using integrated remote sensing (RS), geographic information systems (GIS) and the analytical hierarchy process (AHP). Groundwater potential zones are demarcated for the Kilinochchi district by overlaying thematic layers: geology, geomorphology, land use/land cover, soil types, drainage density, slope, lineament, and rainfall. The thematic layers were integrat

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