Agricultural Drought Assessment Using Remote Sensing, with Special Emphasis on India-Reference-Cited by-同舟云学术

Agricultural Drought Assessment Using Remote Sensing, with Special Emphasis on India

Published:2022 Issue: Volume: Page:309-332
ISSN:
Container-title:Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries
language:
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Author:

Ray S. S.,Saxena Shalini,Choudhary K.,Tahlani Preeti,Vadrevu Krishna Prasad

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-92365-5_18

Reference74 articles.

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3. Biswas, S., Vadrevu, K. P., Mon, M. S. & Justice, C. (2021). Contemporary forest loss in Myanmar: Effect of democratic transition and subsequent timber bans on landscape structure and composition. Ambio, 50(4), 914–928.

4. Brown, J. F., Wardlow, B. D., Tadesse, T., Hayes, M. J., & Reed, B. C. (2008). The vegetation drought response index (VegDRI): A new integrated approach for monitoring drought stress in vegetation. GIScience & Remote Sensing, 45(1), 16–46.

5. Chandrasekar, K., Sesha Sai, M. V. R., Roy, P. S., & Dwevedi, R. S. (2010). Land surface water index (LSWI) response to rainfall and NDVI using the MODIS vegetation index product. International Journal of Remote Sensing, 31(15), 3987–4005.