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Satellite-derived vegetation temperature condition index to infer root zone soil moisture in semi-arid province of Rajasthan, India.
- Source :
-
Geocarto International . Jan 2022, Vol. 37 Issue 1, p179-195. 17p. - Publication Year :
- 2022
-
Abstract
- Soil moisture is one of the key state variable to regulate the water and energy budgets at the soil-plant-atmosphere continuum. This study demonstrates the utility of Vegetation Temperature Condition Index (VTCI), developed from interpretation of NDVIāTs space using MODIS, to estimate soil moisture status at a spatial resolution of 1-km in Rajasthan province. The key findings reveal that VTCI at 1-km resolution and computed for the whole image (Method-1) was found to be more representative of the average profile soil moisture condition than the other methods. Statistical regression between VTCI and in-situ volumetric soil moisture for the surface and at depths of 15, 30 and 45 cm for the prominent crops in Eastern Rajasthan showed a strong relation (R2 = 0.63, p-value <0.01). Thus, it is suggested that VTCI is useful to infer soil moisture beneath the surface over semi-arid areas for agricultural drought assessment. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SOIL moisture
*SOIL profiles
*SPATIAL resolution
*TEMPERATURE
*PROVINCES
*PLANTS
Subjects
Details
- Language :
- English
- ISSN :
- 10106049
- Volume :
- 37
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Geocarto International
- Publication Type :
- Academic Journal
- Accession number :
- 154478817
- Full Text :
- https://doi.org/10.1080/10106049.2019.1704074