Enhancing integrated resource management through remote sensing and GIS

Deepanshu Lakra; Suraj Kumar Singh; Saurabh Kumar Gupta; Shruti Kanga

doi:10.24294/jgc.v7i1.4265

Enhancing integrated resource management through remote sensing and GIS

Deepanshu Lakra, Suraj Kumar Singh, Saurabh Kumar Gupta, Shruti Kanga

Article ID: 4265
Vol 7, Issue 1, 2024

VIEWS - 169 (Abstract) 31 (PDF)

Abstract

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 stands out for its comprehensive coverage of the benefits, challenges, and future directions of this integrated approach.

Keywords

integrated resource management; remote sensing, geographic information system; light detection and ranging; synthetic aperture radar

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References

1. Sakshi, Neeti K, Singh R. Diverse Applications of Remote Sensing and Geographic Information Systems in Implementing Integrated Solid Waste Management: A Short Review. Eng. Proc. 2023, 56, 109. doi: 10.3390/ASEC2023-15340

2. Hekmat H, Ahmad T, Singh SK, et al. Land Use and Land Cover Changes in Kabul, Afghanistan Focusing on the Drivers Impacting Urban Dynamics during Five Decades 1973–2020. Geomatics. 2023; 3(3): 447–464. doi: 10.3390/geomatics3030024

3. Chandel RS, Kanga S, Singh SK, et al. Assessing Sustainable Ecotourism Opportunities in Western Rajasthan, India, through Advanced Geospatial Technologies. Sustainability. 2023; 15(14): 11473. doi: 10.3390/su151411473

4. Farooq M, Mushtaq F, Meraj G, et al. Strategic Slum Upgrading and Redevelopment Action Plan for Jammu City. Resources. 2022; 11(12): 120. doi: 10.3390/resources11120120

5. Gupta P, Singh SK, Gupta P, et al. Application of Remote Sensing and GIS Techniques for Identification of Changes in Land Use and Land Cover (LULC): A Case Study. Indian Journal of Science and Technology. 2023; 16(46): 4456–4468. doi: 10.17485/ijst/v16i46.2530

6. Rai PK (editor). River Conservation and Water Resource Management. Springer Nature Singapore; 2023. doi: 10.1007/978-981-99-2605-3

7. Debnath J, Debbarma J, Debnath A, et al. Flood susceptibility assessment of the Agartala Urban Watershed, India, using Machine Learning Algorithm. Environmental Monitoring and Assessment. 2024; 196(2). doi: 10.1007/s10661-023-12240-3

8. Mathur S, Sharma S, Singh SK, et al. Assessment and Threat to Significant Geoheritage of Soorsagar Formation of Jodhpur Group of Marwar Supergroup, Western Rajasthan, India: A Geological and Remote Sensing Approach. Geoheritage. 2023; 15(4). doi: 10.1007/s12371-023-00896-9

9. Rani A, Gupta SK, Singh SK, et al. Predicting Future Land Use Utilizing Economic and Land Surface Parameters with ANN and Markov Chain Models. Earth. 2023; 4(3): 728–751. doi: 10.3390/earth4030039

10. Choudhury U, Singh SK, Kumar A, et al. Assessing Land Use/Land Cover Changes and Urban Heat Island Intensification: A Case Study of Kamrup Metropolitan District, Northeast India (2000–2032). Earth. 2023; 4(3): 503–521. doi: 10.3390/earth4030026

11. Saqib N, Rai PK, Kanga S, et al. Assessment of Ground Water Quality of Lucknow City under GIS Framework Using Water Quality Index (WQI). Water. 2023; 15(17): 3048. doi: 10.3390/w15173048

12. Singh S, Meraj G, Kumar P, et al. Decoding Chambal River Shoreline Transformations: A Comprehensive Analysis Using Remote Sensing, GIS, and DSAS. Water. 2023; 15(9): 1793. doi: 10.3390/w15091793

13. Gupta SK, Kanga S, Meraj G, et al. Uncovering the hydro-meteorological drivers responsible for forest fires utilizing geospatial techniques. Theoretical and Applied Climatology. 2023; 153(1–2): 675–695. doi: 10.1007/s00704-023-04497-y

14. Sud A, Kanga R, Singh SK, et al. Simulating Groundwater Potential Zones in Mountainous Indian Himalayas—A Case Study of Himachal Pradesh. Hydrology. 2023; 10(3): 65. doi: 10.3390/hydrology10030065

15. Lavane K, Kumar P, Meraj G, et al. Assessing the Effects of Drought on Rice Yields in the Mekong Delta. Climate. 2023; 11(1): 13. doi: 10.3390/cli11010013

16. Joy J, Kanga S, Singh SK, et al. Cadastral level soil and water conservation priority zonation using geospatial technology. International Journal of Agriculture System. 2021; 9(1): 10–26.

17. Lahon D, Sahariah D, Debnath J, et al. Growth of water hyacinth biomass and its impact on the floristic composition of aquatic plants in a wetland ecosystem of the Brahmaputra floodplain of Assam, India. PeerJ. 2023; 11: e14811. doi: 10.7717/peerj.14811

18. Debnath J, Sahariah D, Saikia A, et al. Shifting Sands: Assessing Bankline Shift Using an Automated Approach in the Jia Bharali River, India. Land. 2023; 12(3): 703. doi: 10.3390/land12030703.

19. Singh SK. Evaluation of flood and waterlogging dynamics in Indo-Gangetic Plain using geospatial technique: a review. Open Access International Journal of Science and Engineering. 2017; 2(3): 1–7.

20. Rather MA, Meraj G, Farooq M, et al. Identifying the Potential Dam Sites to Avert the Risk of Catastrophic Floods in the Jhelum Basin, Kashmir, NW Himalaya, India. Remote Sensing. 2022; 14(7): 1538. doi: 10.3390/rs14071538.

21. Singh H, Meraj G, Singh S, et al. Status of Air Pollution during COVID-19-Induced Lockdown in Delhi, India. Atmosphere. 2022; 13(12): 2090. doi: 10.3390/atmos13122090.

22. Gulati B, Sharma R, Kanga S, et al. Unraveling the Relationship Between Stubble Burning and Air Quality Degradation in Punjab: A Temporal and Spatial Analysis (2019-2022). Journal of Climate Change. 2023; 9(2): 43–53. doi: 10.3233/jcc230014.

23. Meraj G, Singh SK, Kanga S, et al. Modeling on comparison of ecosystem services concepts, tools, methods and their ecological-economic implications: a review. Modeling Earth Systems and Environment. 2021; 8(1): 15–34. doi: 10.1007/s40808-021-01131-6.

24. Tomar JS, Kranjčić N, Đurin B, et al. Forest Fire Hazards Vulnerability and Risk Assessment in Sirmaur District Forest of Himachal Pradesh (India): A Geospatial Approach. ISPRS International Journal of Geo-Information. 2021; 10(7): 447. doi: 10.3390/ijgi10070447.

25. Ahmad T, Gupta SK, Singh SK, et al. Unveiling Nature’s Resilience: Exploring Vegetation Dynamics during the COVID-19 Era in Jharkhand, India, with the Google Earth Engine. Climate. 2023; 11(9): 187. doi: 10.3390/cli11090187.

26. Galos K, Nieć M, Saługa PW, et al. The basic problems of mineral resources valuation methodologies within the framework of System of Integrated Environmental and Economic Accounts. Gospodarka Surowcami Mineralnymi. 2015; 31(4): 5–20. doi: 10.1515/gospo-2015-0034.

27. Ensenbach S, Pechmann A, Frey T. Implementing geophysical and geochemical data in multi-criteria analysis for prioritization of munition dump site clearance. EGU General Assembly 2023. EGU23-14271. doi: 10.5194/egusphere-egu23-14271.

28. Tomar P, Kanga S, Sudhanshu, et al. Natural Resource Database Generation for Parts of Raebareli, Districts of UP. International Journal for Science and Advance Research in Technology. 2017; 3(9): 77–88.

29. Singh SK, Kanga S. Mapping of Salt Affected and Waterlogged Areas using Geospatial Technique. International Journal on Recent and Innovation Trends in Computing and Communication. 2017; 5(5): 1298–1305.

30. Tomar P, Singh SK, Kanga S, et al. GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India. Sustainability. 2021; 13(22): 12850. doi: 10.3390/su132212850.

31. Rai PK, Mishra VN, Singh P, et al. Geospatial Technology for Landscape and Environmental Management. Springer Nature Singapore; 2022. doi: 10.1007/978-981-16-7373-3.

32. Sinha KK, Gupta MK, Banerjee MK, et al. Neural Network-Based Modeling of Water Quality in Jodhpur, India. Hydrology. 2022; 9(5): 92. doi: 10.3390/hydrology9050092

33. Kumar A, Kanga S, Taloor AK, et al. Surface runoff estimation of Sind River basin using integrated SCS-CN and GIS techniques. HydroResearch. 2021; 4: 61–74. doi: 10.1016/j.hydres.2021.08.001

34. Parra L. Remote Sensing and GIS in Environmental Monitoring. Appl. Sci. 2022, 12, 8045. doi: 10.3390/app12168045

DOI: https://doi.org/10.24294/jgc.v7i1.4265