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Surface Soil Moisture Estimation during Dry Winter in the Terai Region of Eastern India: Use of Trapezoid Models based on Landsat 8 and Sentinel 2 Data

Indian Agricultural Research Journals

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Title Surface Soil Moisture Estimation during Dry Winter in the Terai Region of Eastern India: Use of Trapezoid Models based on Landsat 8 and Sentinel 2 Data
 
Creator Subhadeep Mandal
Mithu Gogoi
Shovik Deb
Debajit Datta
Dibyendu Sarkar
Debasish Roy
Abhas Kumar Sinha
Ashok Choudhury
 
Subject Terai region
dry winter
surface soil moisture
satellite data
trapezoid models
 
Description In the eastern Terai ecoregion of India, the winter and pre-monsoon months experience a dry period with scanty rainfall. Surface soil moisture (SSM) status becomes a key state variable governing soil and crop health during this period. In this context, we evaluated the capability of two trapezoid models namely, Thermal-optical trapezoid model (TOTRAM) and Optical trapezoid model (OPTRAM) to estimate SSM using spatial data in the dry winter month of December, 2020 covering four Community Development Blocks of this region. Using optical and thermal satellite data (Landsat 8 and Sentinel 2), the physical foundation of these models was tested through pixel-cloud distribution within the trapezoid spaces. The OPTRAM model was found to be advantageous over TOTRAM for easier parameterization. Landsat 8 data based TOTRAM overestimated the SSM, while Sentinel 2 data based OPTRAM underestimated the same. Landsat 8 data based OPTRAM showed the best goodness of fit with ground measured SSM (R2 = 0.648, MAE = 0.081, RMSE = 0.096). The study inferred that soil type, land use and crops influenced the SSM. The overall SSM of the study area was found good even in the dry winter month of December. The high groundwater table and possible capillary rise of water was found to be the contributing factors behind this. The success of this pilot-scale research indicated the opportunity to measure the soil moisture of the entire Indian Terai ecoregion in dry months for site- and need-specific irrigation scheduling.
 
Publisher Indian Society of Soil Science
 
Date 2024-03-03
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://epubs.icar.org.in/index.php/JISSS/article/view/149139
 
Source Journal of the Indian Society of Soil Science; Vol. 71 No. 4 (2023): Journal of the Indian Society of Soil Science; 351-361
0974-0228
0019-638X
 
Language eng
 
Relation https://epubs.icar.org.in/index.php/JISSS/article/view/149139/54035