Your search found 3 records
1 Bhattacharya, B. K.; Sastry, P. S. N. 1999. Comparative evaluation of three-crop growth models for the simulation of soil water balance on oilseed Brassica. Agricultural Water Management, 42(1):29-46.
Simulation models ; Soil water ; Water balance ; Soil moisture ; Plant growth ; Oil plants ; Evapotranspiration / India / New Delhi
(Location: IWMI-HQ Call no: PER Record No: H024943)
2 Shweta; Bhattacharya, B. K.; Krishna, A. P. 2018. A baseline regional evapotranspiration (ET) and change hotspots over Indian sub-tropics using satellite remote sensing data. Agricultural Water Management, 208:284-298. [doi: https://doi.org/10.1016/j.agwat.2018.06.024]
Evapotranspiration ; Satellite observation ; Remote sensing ; Climate change ; Water use ; Water loss ; Irrigated farming ; Farmland ; Energy balance ; Land use ; Land cover mapping ; Soil moisture ; Rain ; Models / India
(Location: IWMI HQ Call no: e-copy only Record No: H048899)
(5.36 MB)
The annual water loss through evapotranspiration (ET) is an uncertain but significant component of India’s water budget. The present study generated independent estimates of baseline annual ET, calibrated with in situ micrometeorological data over Indian sub-continent, using surface energy balance framework and satellite-based long-term thermal remote sensing, visible and near-infrared observations as the primary data sources. Thirty years’ (1981–2010) of satellite-based ET estimates at 0.08° grid resolution were used to assess trend in regional ET, to find out change hot-spots and probable causes. Long-term collateral data, influencing ET, such as gridded (0.5° × 0.5°) annual rainfall (RF), annual mean surface soil moisture (SSM) at 25 km resolution from ESA scatterometers and annual mean incoming shortwave radiation from MERRA-2D reanalysis were also analyzed. Mean annual ET loss was found to be the highest for Indian cropland (890 Cubic Km) than forest (575 Cubic Km). Annual water consumption pattern over vegetation systems showed declining ET trend at the rate of -16 Cubic Km yr-1 upto 1995 during 30 years which might be due to declining rainfall and solar dimming. This was followed by increasing ET trend (34 Cubic Km yr-1 ). During 2001–2010, irrigated cropland showed a steep increase in water consumption pattern with an average rate of 4 Cubic Km yr-1 while grassland and forest showed declining consumption patterns since 2003 and 2007, respectively thus showing crossover points of their consumption patterns with irrigated cropland. Four agriculturally important Indian eastern, central, western and southern states showed significantly increasing ET trend with S-score of 15–25 and Z-score of 1.09–2.9 during this period. Increasing ET in western and southern states was found to be coupled with increase in annual rainfall and SSM. But in eastern and central states, no significant trend in rainfall was observed though significant increase in ET was noticed. Region-specific correlation of annual ET with natural forcing variables was higher for incoming shortwave radiation as compared to rainfall. The increase in ET over irrigated croplands as well as over some of the Indian states could be due to increase in anthropogenic factors which need more detailed investigations in future.
3 Singh, R. P.; Paramanik, S.; Bhattacharya, B. K.; Behera, M. D. 2020. Modelling of evapotranspiration using land surface energy balance and thermal infrared remote sensing. Tropical Ecology, 61(1):42-50. [doi: https://doi.org/10.1007/s42965-020-00076-8]
Evapotranspiration ; Models ; Land cover ; Energy balance ; Remote sensing ; Satellite imagery ; Landsat ; Infrared imagery ; Water vapour ; Normalized difference vegetation index ; Air temperature / India / Odisha
(Location: IWMI HQ Call no: e-copy only Record No: H049897)
(1.90 MB)
Accurate estimation of crop evapotranspiration (ET) is a key factor in crop water scheduling. The objective of this study was to estimate ET from the high-resolution satellite remote sensing data with integration of in situ observation. The surface energy balance model, Mapping Evapotranspiration with Internalized Calibration (METRIC) was utilised in this study for its simplicity, advantages, and effectiveness. It is a one-source model, which calculates the net radiation, soil heat flux, and sensible heat flux at every pixel level, and estimates the latent heat flux as the residual term in that energy budget equation. Intermediate steps like calculation of NDVI, surface temperature, and albedo served as important input parameters for ET estimate. Landat-8 satellite images were used to compute the ET in paddy field near CRRI, Cuttack, Odisha state in eastern India. Results indicated that the METRIC algorithm provided reasonably good ET over the study area with marginal overestimation in comparison to field observation by eddy covariance data. The satellite-based ET estimates represented in spatial scale has potential in improving irrigation scheduling and precise water resource management at local scales.
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