Unveiling the Complexity of Earth's Dynamic Ecosystems: Harnessing the Power of Remote Sensing for Environmental Analysis
DOI:
https://doi.org/10.52562/injoes.2023.827Keywords:
remote sensing, land use, Uraban monitoring, vegetation analysisAbstract
Remote sensing has become an indispensable tool within geographic studies, fundamentally reshaping our understanding of the Earth's dynamic processes and surface. This comprehensive review article explores the diverse and multifaceted applications of remote sensing across various geographic disciplines. It commences by providing a comprehensive overview of the evolution and underpinning technology of remote sensing. Subsequently, the paper proceeds to delve into the methodological intricacies commonly employed in remote sensing studies, followed by an in-depth and systematic review of relevant literature. This meticulous review elucidates key findings and pioneering advancements and highlights the prevalent challenges experienced in diverse geographic domains. The empirical outcomes of this review underscore the profound importance of remote sensing as an invaluable tool for mapping vegetation areas. Furthermore, the findings gleaned from this extensive inquiry underscore the considerable contribution of remote sensing in enhancing our understanding of urban studies. This manifests through its capacity to furnish detailed insights into urban morphology, land use patterns, and the dynamic urban growth processes. The research outcomes vividly illustrate that water resources management derives substantial benefits from the intrinsic capabilities of remote sensing. Its capacity to capture and provide crucial water quality parameters and aquatic ecosystems empowers water resource professionals with a wealth of indispensable data. Moreover, the findings of this comprehensive review concretely establish the irreplaceable role of remote sensing in assessing natural hazards, spanning from landslides to volcanic activity. The empirical evidence presented is a testament to the importance of integrating remote sensing data with Geographic Information Systems (GIS). This interaction has revolutionized spatial data analysis and visualization, underscoring the transformative potential of combining these two technological domains.
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Aal, A. K. A. E., Kamel, M., & Alyami, S. H. (2020). Environmental analysis of land use and land change of Najran city: GIS and remote sensing. Arabian Journal for Science and Engineering, 45, 8803-8816. https://doi.org/10.1007/s13369-020-04884-x
Ahmed, S., & Kaiser, M. F. (2014). Geo-environmental assessment of the Suez Canal area, using remote sensing and GIS Techniques. In 2014 IEEE Geoscience and Remote Sensing Symposium (pp. 1662-1665). IEEE. https://doi.org/10.1109/IGARSS.2014.6946768
Akbar, M. S., Sarker, M. H., Sattar, M. A., Sarwar, G. M., Rahman, S. M. M., Rahman, M. M., & Khan, Z. U. (2017). Integrated use of remote sensing, GIS and GPS technology for monitoring the environmental problem of Shyamnagar. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 357-364. https://doi.org/10.5194/isprs-archives-XLII-1-W1-357-2017
Aldogom, D., Al Mansoori, S., AlMaazmi, A., & Nazzal, T. (2020). Remote sensing and GIS approach for environmental green areas planning using Landsat imagery, Dubai-UAE. In Earth Resources and Environmental Remote Sensing/GIS Applications XI (Vol. 11534, pp. 64-71). SPIE. https://doi.org/10.1117/12.2573904
Barakat, A., Ouargaf, Z., Khellouk, R., El Jazouli, A., & Touhami, F. (2019). Land use/land cover change and environmental impact assessment in béni-mellal district (morocco) using remote sensing and GIS. Earth Systems and Environment, 3(1), 113-125. https://doi.org/10.1007/s41748-019-00088-y
Bayramov, E. (2013). Optimization of environmental monitoring principles along oil and gas pipelines using GIS and remote sensing. In 2013 7th International Conference on Application of Information and Communication Technologies (pp. 1-3). IEEE. https://doi.org/10.1109/ICAICT.2013.6722681
Buscarinu, P., Catani, F., Dessena, M. A., Moretti, S., Righini, G., & Rodolfi, G. (2003). Assessing environmental sustainability: Remote sensing and GIS as tools for water resources evaluation. WIT Transactions on Ecology and the Environment, 63.
Chaminé, H. I., Pereira, A. J., Teodoro, A. C., & Teixeira, J. (2021). Remote sensing and GIS applications in earth and environmental systems sciences. SN Applied Sciences, 3, 1-3. https://doi.org/10.1007/s42452-021-04855-3
Chen, S. S., Chen, L. F., Liu, Q. H., Li, X., & Tan, Q. (2005). Remote sensing and GIS-based integrated analysis of coastal changes and their environmental impacts in Lingding Bay, Pearl River Estuary, South China. Ocean & coastal management, 48(1), 65-83. https://doi.org/10.1016/j.ocecoaman.2004.11.004
Chen, T., & Fang, S. B. (2006). Eco-Environmental Quality Comprehensive Assessment of Sichuan Province based on Remote Sensing and GIS Technology, China. In 2006 IEEE International Symposium on Geoscience and Remote Sensing (pp. 3374-3377). IEEE. https://doi.org/10.1109/IGARSS.2006.866
Chen, X., Yuan, Z., Li, Y. S., Song, H., Hou, Y., Xu, Z., Liu, H., & Wai, O. W. (2005). Water environmental management with the aid of remote sensing and GIS technology. In Multispectral and Hyperspectral Remote Sensing Instruments and Applications II (Vol. 5655, pp. 333-342). SPIE. https://doi.org/10.1117/12.580907
Cheng, Q., & Dang, C. N. (2022). Using GIS remote sensing image data for wetland monitoring and environmental simulation. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/7886358
Choudhary, K., Boori, M. S., & Kupriyanov, A. (2018). Spatial modelling for natural and environmental vulnerability through remote sensing and GIS in Astrakhan, Russia. The Egyptian Journal of Remote Sensing and Space Science, 21(2), 139-147. https://doi.org/10.1016/j.ejrs.2017.05.003
Coskun, H. G. (2008). An integrated approach for environmental security in the nato countries based on remote sensing and GIS technologies. In Integration of Information for Environmental Security (pp. 3-15). Springer Netherlands. https://doi.org/10.1007/978-1-4020-6575-0_1
Coskun, H. G., & Alparslan, E. (2009). Environmental modelling of Omerli catchment area in Istanbul, Turkey using remote sensing and GIS techniques. Environmental monitoring and assessment, 153, 323-332. https://doi.org/10.1007/s10661-008-0358-7
Coskun, H. G., Tanik, A., Alganci, U., & Cigizoglu, H. K. (2008). Determination of environmental quality of a drinking water reservoir by remote sensing, GIS and regression analysis. Water, air, and soil pollution, 194, 275-285. https://doi.org/10.1007/s11270-008-9716-x
Csaplovics, E. (1993). Remote sensing of Fertö to National Park (Austria, Hungary) Perspective of integrating multi-temporal environmental monitoring and GIS, TU Vienna, Austria. Remote sensing for monitoring the changing environment of Europe, ed. Peter Winkler.
De, A., & Kumar, D. (2018). Remote sensing and GIS for assessment and prediction of environmental hazards due to mine waste: case study from Daitari iron ore mines, Odisha, India. Earth Resources and Environmental Remote Sensing/GIS Applications International Society for Optics and Photonics, 10790, 107900W. https://doi.org/10.1117/12.2326709
Droj, G. (2012). GIS and remote sensing in environmental management. Journal of Environmental Protection and Ecology, 13(1), 361.
Evelpidou, N., Vassilopoulos, A., Vaiopoulos, D., & Manta, I. D. (2003). Environmental monitoring in Sidari Bay, Corfu Island, using remote sensing and GIS techniques. In Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II (Vol. 4886, pp. 375-380). SPIE. https://doi.org/10.1117/12.464329
Ganguly, K., & Shankar, G. R. (2014). Geo-environmental appraisal for studying urban environment and its associated biophysical parameters using remote sensing and GIS technique. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, 717-724. https://doi.org/10.5194/isprsarchives-XL-8-717-2014
Goodchild, M. F. (2003). Environmental modelling with GIS and remote sensing. Environment & Planning: B-Planning & Design, 30(3), 467–468.
Graffagnini, J., Ahl, D., & Davis, B. (1995). Remote Sensing and GIS for Environmental Assessment of Military Installations and Chemical Manufacturing Companies. In GIS LIS-International Conference (Vol. 1, pp. 365-376). American Society for Photogrammetry and Remote Sensing.
Graniczny, M., & Janicki, T. (1997). Environmental Assessment of Geological Hazards Related to Sulphur Exploration in Poland Using Remote Sensing and GIS. In Integrated Approach to Environmental Data Management Systems (pp. 481-486). Dordrecht: Springer Netherlands.
Gu, F., & Liu, W. (2010). Applications of remote sensing and GIS to the assessment of riparian zones for environmental restoration in agricultural watersheds. Geo-spatial Information science, 13(4), 263-268. https://doi.org/10.1007/s11806-010-0368-9
Hadeel, A. S., Jabbar, M. T., & Chen, X. (2010). Application of remote sensing and GIS in the study of environmental sensitivity to desertification: a case study in Basrah Province, southern part of Iraq. Applied Geomatics, 2, 101-112. https://doi.org/10.1007/s12518-010-0024-y
Hinton, J. C. (1996). GIS and remote sensing integration for environmental applications. International Journal of Geographical Information Systems, 10(7), 877-890. https://doi.org/10.1080/02693799608902114
Hung, L. Q., & Batelaan, O. (2003). Environmental geological remote sensing and GIS analysis of tropical karst areas in Vietnam. In IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No. 03CH37477) (Vol. 4, pp. 2964-2966). IEEE. https://doi.org/10.1109/IGARSS.2003.1294647
Isazade, V., Qasimi, A. B., & Isazade, E. (2023). Environmental dust effect phenomenon on the sustainability of urban areas using remote sensing data in GEE. Safety in Extreme Environments, 5(1), 59-67. https://doi.org/10.1007/s42797-022-00067-z
Isazade, V., Qasimi, A. B., & Kaplan, G. (2021). Investigation of the effects of salt dust caused by drying of Urmia Lake on the sustainability of urban environments. Journal Clean WAS, 5(2), 78-84. https://doi.org/10.26480/jcleanwas.02.2021.78.84
Isazade, V., Qasimi, A. B., Dong, P., Kaplan, G., & Isazade, E. (2023). Integration of Moran’s I, geographically weighted regression (GWR), and ordinary least square (OLS) models in spatiotemporal modeling of COVID-19 outbreak in Qom and Mazandaran provinces, Iran. Modeling Earth Systems and Environment, 1-15. https://doi.org/10.1007/s40808-023-01729-y
Jabbar, M. T., & Zhou, X. (2011). Eco-environmental change detection by using remote sensing and GIS techniques: a case study Basrah province, south part of Iraq. Environmental Earth Sciences, 64, 1397-1407. https://doi.org/10.1007/s12665-011-0964-5
Jellema, J., & Tchistiakov, A. (2002). Implementation of ISO-14000 standards in routine environmental management of oil and gas fields by means of GIS and remote sensing. Journal of Canadian Petroleum Technology, 41(09). https://doi.org/10.2118/02-09-GE2
Jianzhong, Y., Fenqin, H., & Zhibing, L. (2011). Researching the relationships between the environmental change of vegetation and the activity of debris flows based on remote sensing and GIS. Procedia Environmental Sciences, 11, 918-924. https://doi.org/10.1016/j.proenv.2011.12.141
Kafatos, M., El-Askary, H., Chiu, L. S., Gomez, R. B., Hegazy, M., Kinser, J. M., Liu, X., Liu, Y., Liu, Z., McManus, J., Nie, Y., Qu, J., Salem, F., Sarkar, S., Shen, S., Taylor, G., Wolf, H., Wong, D., Yang, C., & Yang, R. (2003). Remote sensing and GIS for regional environmental applications. In Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II (Vol. 4886, pp. 1-10). SPIE. https://doi.org/10.1117/12.463316
Li, W., Fan, X., Huang, F., Chen, W., Hong, H., Huang, J., & Guo, Z. (2020). Uncertainties analysis of collapse susceptibility prediction based on remote sensing and GIS: influences of different data-based models and connections between collapses and environmental factors. Remote Sensing, 12(24), 4134. https://doi.org/10.3390/rs12244134
Liang, B., & Weng, Q. (2010). Assessing urban environmental quality change of Indianapolis, United States, by the remote sensing and GIS integration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4(1), 43-55. https://doi.org/10.1109/JSTARS.2010.2060316
Liang, K., Liu, Z., Li, G., Zhou, X., Liu, W., & Ren, X. (2022). Environmental Evolution and Green Development of Pastoral ecological Reserves Based on Remote Sensing and GIS Technology. Fresenius Environmental Bulletin, 31(10), 10020-10026.
Liming, B. (2012). Tourism Environmental Monitoring: Framework and the Application of Remote Sensing and GIS Technologies. In Proceedings of the 8th Euro-Asia Conference on Environment and Csr: Tourism, Mice, Hospitality Management and Education Session, PT I.
Maina, J. (2008). Comment on" Modelling susceptibility of coral reefs to environmental stress-using remote sensing data and GIS models", authors Maina, Venus, McClanahan, and Ateweberhan Reply. Ecological Modelling, 218(3-4), 400-402. https://doi.org/10.1016/j.ecolmodel.2008.06.016
Maina, J., Venus, V., McClanahan, T. R., & Ateweberhan, M. (2008). Modelling susceptibility of coral reefs to environmental stress using remote sensing data and GIS models. Ecological modelling, 212(3-4), 180-199. https://doi.org/10.1016/j.ecolmodel.2007.10.033
Majidi, A. H., Maleki, L., Qasimi, A. B., Sabooryar, J., & Sangabi, A. A. (2022). Distribution of long-tailed marmot, Marmota caudata in the Badakhshan province of Afghanistan. Iranian Journal of Animal Biosystematics, 18(2), 163-170. https://doi.org/10.22067/ijab.2022.76577.1032
Martínez-Graña, A. M., & Valdés Rodríguez, V. (2016). Remote sensing and GIS applied to the landscape for the environmental restoration of urbanizations by means of 3D virtual reconstruction and visualization (Salamanca, Spain). ISPRS International Journal of Geo-Information, 5(1), 2. https://doi.org/10.3390/ijgi5010002
Mercado, R. M. (1991). Geographic Information Systems (GIS) and Remote Sensing—A Guide for Parameter Development in Water Resources and Environmental Modelling. In Civil Engineering Applications of Remote Sensing and Geographic Information Systems (pp. 297-304). ASCE.
Michel, U., & Civco, D. L. (2010). Introduction to Part A: Earth Resources and Environmental Remote Sensing/GIS Applications. In Proceedings of SPIE-The International Society for Optical Engineering. SPIE.
Michel, U., & Civco, D. L. (2012). Introduction to Part A: Earth Resources and Environmental Remote Sensing/GIS Applications III. In Proceedings of SPIE-The International Society for Optical Engineering. SPIE.
Michel, U., & Schulz, K. (2016). E Earth Resources and Environmental Remote Sensing/GIS Applications VI. Proceedings of SPIE-The International Society for Optical Engineering. SPIE.
Michel, U., Civco, D. L., Schulz, K., Ehlers, M., & Nikolakopoulos, K. G. (2013). Earth Resources and Environmental Remote Sensing/GIS Applications IV. Proceedings of SPIE-The International Society for Optical Engineering. SPIE.
Michel, U., Schulz, K., Ehlers, M., Nikolakopoulos, K. G., & Civco, D. L. (2015). Earth Resources and Environmental Remote Sensing/GIS Applications VI. Proceedings of SPIE-The International Society for Optical Engineering. SPIE.
Morales, R. M., Idol, T., & Friday, J. B. (2011). Assessment of Acacia koa forest health across environmental gradients in Hawai ‘i using fine resolution remote sensing and GIS. Sensors, 11(6), 5677-5694. https://doi.org/10.3390/s110605677
Mozgoviy, D. K., Parshyna, O. I., Voloshyn, V. I., & Bushuyev, Y. I. (2007). Remote Sensing and GIS Application for Environmental Monitoring and Accidents Control in Ukraine. In Geographic Uncertainty in Environmental Security (pp. 259-270). Dordrecht: Springer Netherlands. https://doi.org/10.1007/978-1-4020-6438-8
Muthamilselvan, A., Srimadhi, K., Ramalingam, N., & Pavithra, P. (2016). Urbanization and its related environmental problem in Srirangam Island, Tiruchirappalli district of Tamil Nadu, India-Thermal Remote Sensing and GIS approach. Environmental Earth Sciences, 75, 1-13. https://doi.org/10.1007/s12665-016-5457-0
Nadry, Z., Mohammadi, M., & Qasimi, A. B. (2021). Investigating and Presenting a Favorable Solution for Tourism Development in Balkh Province. International Journal of Information Systems & Management Science, 8(1), 653-671.
Ngom, R., & Siegmund, A. (2006). Using remote sensing and GIS to integrate various environmental factors into a predictive malaria transmission risks model in rural Burkina Faso. In Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI (Vol. 6366, pp. 135-147). SPIE. https://doi.org/10.1117/12.690609
Noszczyk, T., & Gawronek, P. (2020). Remote sensing and GIS for environmental analysis and cultural heritage. Remote sensing, 12(23), 3960. https://doi.org/10.3390/rs12233960
Obeidat, M., Awawdeh, M., & Lababneh, A. (2019). Assessment of land use/land cover change and its environmental impacts using remote sensing and GIS techniques, Yarmouk River Basin, north Jordan. Arabian Journal of Geosciences, 12, 1-15. https://doi.org/10.1007/s12517-019-4905-z
Olorunfemi, I. E., Fasinmirin, J. T., Olufayo, A. A., & Komolafe, A. A. (2020). GIS and remote sensing-based analysis of the impacts of land use/land cover change (LULCC) on the environmental sustainability of Ekiti State, southwestern Nigeria. Environment, development and sustainability, 22, 661-692. https://doi.org/10.1007/s10668-018-0214-z
Othman, A. A., Al-Saady, Y. I., Al-Khafaji, A. K., & Gloaguen, R. (2014). Environmental change detection in the central part of Iraq using remote sensing data and GIS. Arabian Journal of Geosciences, 7, 1017-1028. https://doi.org/10.1007/s12517-013-0870-0
Parra, L. (2022). Remote Sensing and GIS in Environmental Monitoring. Applied Sciences, 12(16), 8045. https://doi.org/10.3390/app12168045
Populus, J., Moreau, F., Coquelet, D., & Xavier, J. P. (1995). An assessment of environmental sensitivity to marine pollutions: solutions with remote sensing and Geographical Information Systems (GIS). Remote Sensing, 16(1), 3-15. https://doi.org/10.1080/01431169508954368
Qasimi, A. B., Isazade, V., & Berndtsson, R. (2023). Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan. Natural Hazards, 1-28. https://doi.org/10.1007/s11069-023-06232-2
Qasimi, A. B., Isazade, V., & Toomanian, A. (2022). A Review of Sustainable and Renewable Sources of Energy for Afghanistan. Journal of Renewable Energy and Mechanics, 5(02), 60-75. https://doi.org/10.25299/rem.2022.vol5.no02.10226
Qasimi, A. B., Isazade, V., Enayat, E., Nadry, Z., & Majidi, A. H. (2023). Landslide susceptibility mapping in Badakhshan province, Afghanistan: A comparative study of machine learning algorithms. Geocarto International, 38(1), 2248082. https://doi.org/10.1080/10106049.2023.2248082
Qasimi, A. B., Toomanian, A., Nasri, F., & Samany, N. N. (2023). Genetic algorithms-based optimal site selection of solar PV in the north of Afghanistan. International Journal of Sustainable Energy, 42(1), 929-953. https://doi.org/10.1080/14786451.2023.2246081
Qasimi, A., Isazade, V., Kaplan, G., & Nadry, Z. (2023). Spatiotemporal and multi-sensor analysis of surface temperature, NDVI, and precipitation using google earth engine cloud computing platform. Russian Journal of Earth Sciences, 22, 1-12. http://dx.doi.org/10.2205/2022ES000812
Qureshi, M. A., & Khan, S. (1994). Environmental Pollution Information System Using Remote Sensing and GIS-Report on Training Programme. Journal of Scientific and Industrial Research, 53, 275-275.
Rahman, M. R., Shi, Z. H., & Chongfa, C. (2014). Assessing regional environmental quality by integrated use of remote sensing, GIS, and spatial multi-criteria evaluation for prioritization of environmental restoration. Environmental monitoring and assessment, 186, 6993-7009. https://doi.org/10.1007/s10661-014-3905-4
Retalis, A., Vozikis, E., & Petrogonas, I. (2002). Application of remote sensing and GIS for Environmental Impact Assessment. In Protection and Restoration of the Environment VI Proceedings of an International Conference, Skiathos July (pp. 1-5).
Santra, A., & Mitra, S. S. (2016). Remote Sensing Techniques and GIS Applications in Earth and Environmental Studies. IGI Global.
Saxena, A., & Menezes, A. (2006). Environmental studies of the Arabian Sea using remote sensing and GIS. In Remote Sensing of the Marine Environment (Vol. 6406, pp. 255-263). SPIE. https://doi.org/10.1117/12.696370
Schultz, G. A. (1997). Integration of remote sensing information, digital elevation models and digital maps within a GIS to generate new spatial environmental data sets for water management purposes. In Integrated Approach to Environmental Data Management Systems (pp. 153-170). Dordrecht: Springer Netherlands. https://doi.org/10.1007/978-94-011-5616-5_14
Seger, M. (1999). Environmental monitoring and modeling-GIS and remote sensing as tools for sustainable development. Mitteilungen Der Osterreichischen Geographischen Gesellschaft, 141, 340.
Sengupta, M. K. (2017). Remote Sensing Techniques and GIS Applications in Earth and Environmental Studies Foreword. In Remote Sensing Techniques and Gis Applications in Earth and Environmental Studies, Advances in Geospatial Technologies.
Shrestha, F., Uddin, K., Maharjan, S. B., & Bajracharya, S. R. (2016). Application of remote sensing and GIS in environmental monitoring in the Hindu Kush Himalayan region. AIMS Environmental Science, 3(4), 646-662. https://doi.org/10.3934/environsci.2016.4.646
Souza Filho, P. W. M., Goncalves, F. D., de Miranda, F. P., Beisl, C. H., & de Faria Almeida, E. (2004). Environmental sensitivity mapping for oil spill in the Amazon coast using remote sensing and GIS technology. In IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium (Vol. 3, pp. 1565-1568). IEEE. https://doi.org/10.1109/IGARSS.2004.1370613
Theodoridou, I., Karteris, M., Mallinis, G., Tsiros, E., & Karteris, A. (2017). Assessing the benefits from retrofitting green roofs in mediterranean, using environmental modelling, GIS and very high spatial resolution remote sensing data: the example of Thessaloniki, Greece. Procedia environmental sciences, 38, 530-537. https://doi.org/10.1016/j.proenv.2017.03.117
Voß, K. (2006). Remote Sensing & GIS for Environmental Studies: Applications in Geography. ERDKUNDE, 60(1), 67–68.
Wang, F. (1992). A Parallel GIS-Remote Sensing System for Environmental Modeling. In [Proceedings] IGARSS'92 International Geoscience and Remote Sensing Symposium (Vol. 1, pp. 15-17). IEEE. https://doi.org/10.1109/IGARSS.1992.576615
Witt, R. G. (2000). GIS and remote sensing applications for environmental assessment. Earth Observation and Remote Sensing, 16(1), 179-192.
Yao, D. (2021). Application of GIS remote sensing information integration in eco-environmental quality monitoring. International Journal of Environmental Technology and Management, 24(5-6), 375-389. https://doi.org/10.1504/IJETM.2021.117328
Youssef, Y. M., Gemail, K. S., Sugita, M., AlBarqawy, M., Teama, M. A., Koch, M., & Saada, S. A. (2021). Natural and anthropogenic coastal environmental hazards: An integrated remote sensing, GIS, and geophysical-based approach. Surveys in Geophysics, 1-33. https://doi.org/10.1007/s10712-021-09660-6
Yuan, F. (2008). Land?cover change and environmental impact analysis in the Greater Mankato area of Minnesota using remote sensing and GIS modelling. International Journal of Remote Sensing, 29(4), 1169-1184. https://doi.org/10.1080/01431160701294703
Zeng, W., Cui, X., Liu, X., Cui, H., & Wang, P. (2006). Remote sensing and GIS for identifying and monitoring the environmental factors associated with vector-borne disease: An overview. In 2006 IEEE International Symposium on Geoscience and Remote Sensing (pp. 1443-1446). IEEE. https://doi.org/10.1109/IGARSS.2006.372
Zhang, S., Yu, T., Li, J., Mi, X., Yang, J., & Fu, X. (2011a). Application of RS and GIS Integration Technology Inecological Environmental Remote Sensing Sub Systemprototype." Pp. 643–46 in 2011 International Conference on Fuzzy Systems and Neural Computing (FSNC 2011), Vol V.
Zhang, S., Yu, T., Li, J., Mi, X., Yang, J., & Fu, X. (2011b). Application of RS and GIS Integration Technology Inecological Environmental Remote Sensing Subsystemprototype." Pp. 112–15 in 2011 AASRI Conference on Artificial Intelligence and Industry Application (AASRI-AIIA 2011), Vol 3.
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