Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Parthsarthi Pandya"'
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 12, Pp 4729-4746 (2023)
The unpredictability of crop yield due to severe weather events such as drought and extreme heat continues to be a key worry. The present study evaluated six meteorological and three Landsat satellite-based vegetation drought indices from 1986 to 201
Externí odkaz:
https://doaj.org/article/67dac8f9d6654244b32b8bb7eef2e801
Publikováno v:
Journal of Agrometeorology, Vol 24, Iss 4 (2022)
The present study was conducted in the Saurashtra region of Gujarat to demonstrate the development and validation of location and crop-specific composite drought index (CDI) using a linear combination of three parameters including meteorological drou
Externí odkaz:
https://doaj.org/article/0a51f485263543f990a15b7d8d7c1d1a
Publikováno v:
Journal of Water and Climate Change. 14:824-842
The effectual estimation of meteorological drought parameters such as severity, duration and frequency to plan suitable drought mitigation measures is challenging owing to the complex relationship among these parameters. The present study endeavored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::382e44244fb9e73edafd5513f6649dce
https://doi.org/10.2166/wcc.2023.438
https://doi.org/10.2166/wcc.2023.438
Publikováno v:
Journal of Agrometeorology. 24:384-392
The present study was conducted in the Saurashtra region of Gujarat to demonstrate the development and validation of location and crop-specific composite drought index (CDI) using a linear combination of three parameters including meteorological drou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a19373e1272ad16c1c3323095bf3eaac
https://doi.org/10.54386/jam.v24i4.1738
https://doi.org/10.54386/jam.v24i4.1738