Titlebook: Geospatial Technology to Support Communities and Policy; Pathways to Resilien Swagata Ghosh,Maya Kumari,Varun Narayan Mishra Book 2024 The

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AI-Based Rainfall-Runoff Modelling for Sustainable Water Management in Potteruvagu Watershed, Indiamonstrated significantly higher accuracy results. During the training or calibration period, the RF model has a Nash-Sutcliffe efficiency (NSE) value of 0.92 and a coefficient of determination (R.) value of 0.94. During the testing or validation period, the RF model likewise produced an R. of 0.74 a

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Satellite Image-Based Drought Monitoring: Vision to Enhance Drought Resilience,in the desert zone, a temporal series of Moderate Resolution Image Spectrometer (MODIS) data for Pre & Post Monsoon were used to compute the Normalised Difference Vegetation Index (NDVI). The association between the Jodhpur District’s rainfall pattern and vegetation changes is investigated using the

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The Power of Machine Learning in Forest Fire Risk Analysis and Resilience: Navigating Best Practiced, along with a review of the potential biases, ethical concerns, and practical limitations associated with using these algorithms in forest management decisions. In addition, various case studies that have effectively applied Machine Learning (ML) to planning for forest fire risk and resilience wil

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Application of Digital Technologies & Remote Sensing in Precision Agriculture for Sustainable Crop ut crops in terms of requirement of fertilizers, pesticides, irrigation facility etc. By adopting precision agriculture, we would be able to rejuvenate and maintain good soil health. So, precision agriculture can be called the future of sustainable agriculture in India and around world, as this only

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