Integrated Remote Sensing Indices for Assessing Pre-Monsoon Water Scarcity Vulnerability in a Semi-Arid Coastal Ecosystem: A Case Study of Barda Wildlife Sanctuary, Gujarat, India

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Year : 2026 | Volume : 17 | 02 | Page :
    By

    Dr. B. A. Jadeja,

  • Rekha G. Dhammar,

  • Jenish Bamaniya,

  • Kunal N. Odedra,

  • Kavan Shukla,

  • Riddhi Vala,

  1. Head and Principal, Department of Botany, M. D. Science College, Porbandar, India
  2. Research Scholar, Department of Botany, M. D. Science College, Porbandar, India
  3. Research Scholar, Department of Botany, M. D. Science College, Porbandar, India
  4. Research Scholar, Department of Botany, M. D. Science College, Porbandar, India
  5. Research Scholar, Department of Botany, M. D. Science College, Porbandar, India
  6. Research Scholar, Department of Botany, M. D. Science College, Porbandar, India

Abstract

Freshwater availability fundamentally shapes the structure and function of dryland ecosystems, where evapotranspiration exceeds precipitation for most of the year. Protected areas in semiarid regions face intensifying hydrological stress from climate variability, growing wildlife populations, and resident human communities, yet systematic spatial assessments of water scarcity remain scarce for many critical habitats. The Barda Wildlife Sanctuary in coastal Gujarat, India, has recently become a secondary home for the endangered Asiatic lion, but no comprehensive evaluation of water vulnerability exists for this landscape. Using satellite imagery, this study shows that over one third of the entire sanctuary functions as empty land with extreme drought conditions during pre-monsoon period (March-April, 2026), based on Multi-Index Remote Sensing Framework, while permanent surface water covers less than four percent of the area. Most significantly, even the most water-retentive areas contain only 15% of their total theoretical water storage capacity, indicating that natural water retention alone may not be enough to maintain the newly introduced lion population during the eight-month dry period. The findings of this research study indicate that the current state of the sanctuary is classified as a territorial habitat located on a wide variety of eco-regions, and includes areas with less than one-quarter of their typical seasonal surface water during the pre-monsoon dry season, in addition to a total loss of all available surface water during the last complete rainy season. The results show that seasonal availability of surface water is highly variable, and this variability can create significant problems for sustaining populations of wildlife and pastoralists without some form of adaptive water management intervention. The analytical workflow provides a replicable, lowcost template for identifying water stress hotspots across India’s semiarid protected areas, where the convergence of biodiversity conservation, religious tourism, and pastoral livelihoods demands evidencebased water management.

Keywords: Barda Wildlife Sanctuary, water scarcity, semiarid ecosystem, remote sensing, Analytical Hierarchy Process (AHP), GIS

How to cite this article:
Dr. B. A. Jadeja, Rekha G. Dhammar, Jenish Bamaniya, Kunal N. Odedra, Kavan Shukla, Riddhi Vala. Integrated Remote Sensing Indices for Assessing Pre-Monsoon Water Scarcity Vulnerability in a Semi-Arid Coastal Ecosystem: A Case Study of Barda Wildlife Sanctuary, Gujarat, India. Journal of Remote Sensing & GIS. 2026; 17(02):-.
How to cite this URL:
Dr. B. A. Jadeja, Rekha G. Dhammar, Jenish Bamaniya, Kunal N. Odedra, Kavan Shukla, Riddhi Vala. Integrated Remote Sensing Indices for Assessing Pre-Monsoon Water Scarcity Vulnerability in a Semi-Arid Coastal Ecosystem: A Case Study of Barda Wildlife Sanctuary, Gujarat, India. Journal of Remote Sensing & GIS. 2026; 17(02):-. Available from: https://journals.stmjournals.com/jorsg/article=2026/view=246845


References

  1. Anand A, Keesara VR, Sridhar V. Studying the relationship between satellite-derived evapotranspiration and crop yield: a case study of the cauvery river basin. AgriEngineering. 2024 Aug 5;6(3):2640-55.
  2. Ram M, Sahu A, Srivastava N, Chaudhary R, Jhala L, Zala Y. Assessment of wild prey of mammalian carnivores in Barda Wildlife Sanctuary, Gujarat, India. Ethology Ecology & Evolution. 2024 Jul 3;36(4):387-99.
  3. Bestelmeyer BT, Ellison AM, Fraser WR, Gorman KB, Holbrook SJ, Laney CM, Ohman MD, Peters DP, Pillsbury FC, Rassweiler A, Schmitt RJ. Analysis of abrupt transitions in ecological systems. Ecosphere. 2011 Dec;2(12):1-26.
  4. Carlson T. An overview of the” triangle method” for estimating surface evapotranspiration and soil moisture from satellite imagery. Sensors. 2007 Aug;7(8):1612-29.
  5. Casimir MJ. Of lions, herders and conservationists: brief notes on the Gir Forest National Park in Gujarat (Western India). Nomadic Peoples. 2001 Dec;5(2):154-62.
  6. Census of India. District census handbook. Bihar Series 11 Patna, Begusarai, Smastipur and Banka. 2011 Jul 11.
  7. Bahugunaa VK, Swaminathb MH, Tripathic S, Singhd TP, Rawate VR, Rawatf RS. Revisiting forest types of India. International Forestry Review. 2016 Jun 1;18(2):135-45.
  8. Dehingia H, Surendra P. Assessment of land use and land cover pattern of Gujarat state. Geographical Analysis. 2020 Jun 4;9(1):52-8.
  9. Congalton RG. A review of assessing the accuracy of classifications of remotely sensed data. Remote sensing of environment. 1991 Jul 1;37(1):35-46.
  10. Dhammar R, Odedra K, Jadeja BA. Integrated geo-hydro-biological assessment of Barda Hills: Vegetation dynamics, land surface temperature trends, and conservation strategies (1995–2025). Turkish Journal of Remote Sensing. 2026 Mar 3;8:1-29.
  11. Patil K, Pawar R, Gujrati A. Multidecadal satellite imagery reveals significant impacts of anthropogenic threats on Ramsar sites of India. Environmental Monitoring and Assessment. 2025 Nov;197(11):1-27.
  12. Chandrasekar K, Sesha Sai MV, Roy PS, Dwevedi RS. Land Surface Water Index (LSWI) response to rainfall and NDVI using the MODIS Vegetation Index product. International journal of remote sensing. 2010 Aug 10;31(15):3987-4005.
  13. Dudgeon D, Arthington AH, Gessner MO, Kawabata ZI, Knowler DJ, Lévêque C, Naiman RJ, Prieur-Richard AH, Soto D, Stiassny ML, Sullivan CA. Freshwater biodiversity: importance, threats, status and conservation challenges. Biological reviews. 2006 May;81(2):163-82.
  14. Duncan LL, Perrone D, Jacobi JH, Hornberger GM. Drought planning and management: Using high spatial resolution as part of the solution. Environmental Science & Technology. 2015 Mar 3;49(5):2639-47.
  15. Fessehaye M, Abdul-Wahab SA, Savage MJ, Kohler T, Gherezghiher T, Hurni H. Fog-water collection for community use. Renewable and Sustainable Energy Reviews. 2014 Jan 1;29:52-62.
  16. Ram M, Sahu A, Srivastava N, Chaudhary R, Jhala L, Zala Y. Long‐Ranging Movements of Asiatic Lions: Implications for Conservation and Management in Gujarat, India. Ecology and Evolution. 2025 Jul;15(7):e71811.
  17. Jethwa RA. Ethnobotanical Scenario in Gujarat: Status and Prospects in Primary Health Care. … towards Evaluation of…. 2006 Jan 1.
  18. Bandyopadhyay N. Impact of climate change on water crisis in Gujarat (India). InEcological footprints of climate change: Adaptive approaches and sustainability 2023 Jan 2 (pp. 201- 217). Cham: Springer International Publishing.
  19. Mukhopadhyay S, Mandal AK. Impact of climate change on groundwater resource of India: A geographical appraisal. InIndia: Climate Change Impacts, Mitigation and Adaptation in Developing Countries 2021 May 4 (pp. 125-154). Cham: Springer International Publishing.
  20. Halder M, Paul D, Yang S. Origin of silicic rocks of the Deccan traps continental flood basalt province: inferences from field observations, petrography, and geochemistry. Geochemistry. 2023 May 1;83(2):125958.
  21. Kant S. Meteorological conditions associated with extremely heavy rainfall over some Indian states in July 2022. Current Science (00113891). 2023 Nov 25;125(10).
  22. Lobos-Roco F, Vilà-Guerau de Arellano J, del Río C. Observation-driven model for calculating water-harvesting potential from advective fog in (semi-) arid coastal regions. Hydrology and Earth System Sciences. 2025 Jan 13;29(1):109-25.
  23. Patel PM, Saha D, Shah T. Sustainability of groundwater through community-driven distributed recharge: An analysis of arguments for water scarce regions of semi-arid India. Journal of Hydrology: Regional Studies. 2020 Jun 1;29:100680.
  24. Warburton S, James S. Lions triumphant: the captain’s story. Simon and Schuster; 2013 Nov 7.
  25. Saaty TL. The analytic hierarchy process mcgraw hill, New York. Agricultural Economics Review. 1980;70(804):10-21236.
  26. Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of environment. 2002 Feb 1;79(2-3):213-24.
  27. Siddha S, Sahu P. Status of seawater intrusion in coastal aquifer of Gujarat, India: a review. SN Applied Sciences. 2020 Oct;2(10):1726.
  28. Nagar PS. Floristic biodiversity of Barda Hills and its surroundings. Scientific Publishers; 2005 Sep 1.
  29. Shah A, Joshi H. Natural Resources and Agriculture in Gujarat: Recent Trends. Growth Trajectory of Gujarat—Public Policy Intervention. 2025 Mar 26:37.
  30. Tucker CJ. Red and photographic infrared linear combinations for monitoring vegetation. Remote sensing of Environment. 1979 May 1;8(2):127-50.
  31. Vörösmarty CJ, McIntyre PB, Gessner MO, Dudgeon D, Prusevich A, Green P, Glidden S, Bunn SE, Sullivan CA, Liermann CR, Davies P. Global threats to human water security and river biodiversity. nature. 2010 Sep 30;467(7315):555-61.
  32. Xu H. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International journal of remote sensing. 2006 Jul 20;27(14):3025-33.
  33. Yu Y, Wang J, Cheng F, Chen Y. Soil moisture by remote sensing retrieval in the tropic of cancer of Yunnan Province. Polish Journal of Environmental Studies. 2020 Feb 13;29(2):1981-93.

Ahead of Print Subscription Review Article
Volume 17
02
Received 15/05/2026
Accepted 04/06/2026
Published 17/06/2026
Publication Time 33 Days


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