Monitoring of water stress in wheat using multispectral indices derived from Landsat-TM

Detection of crop water stress is crucial for efficient irrigation water management. Potential of Satellite data to provide spatial and temporal dynamics of crop growth conditions makes it possible to monitor crop water stress at regional level. This study was conducted in parts of western Uttar Pradesh and Haryana. Multi-temporal Landsat data were used for detecting wheat crop water stress using vegetation indices (VIs), viz. vegetation water stress index (VWSI) and land surface wetness index water stress factor (Ws_LSWI). The estimated water stress from satellite data-based VIs was validated by water stress factor (Ws) derived from flux-tower data. The study observed Ws_LSWI to be better index for water stress detection. The results indicated that Ws_LSWI was superior over other index showing RMSE = 0.12, R2 = 0.65, whereas VWSI showed overestimated values with mean RD 4%.

[1]  C. Tucker.  Remote sensing of leaf water content in the near infrared , 1980 .

[2]  J. Campbell.  Introduction to remote sensing , 1987 .

[3]  H. J. Kim.  Combined Use of Vegetation and Water Indices from Remotely-Sensed AVIRIS and MODIS Data to Monitor Riparian and Semiarid Vegetation , 2006 .

[4]  C. Justice,et al.  Atmospheric correction of MODIS data in the visible to middle infrared: first results , 2002 .

[5]  W. Oechel,et al.  Energy balance closure at FLUXNET sites , 2002 .

[6]  Andrew Fleming,et al.  On the Atmospheric Correction of Antarctic Airborne Hyperspectral Data , 2014, Remote. Sens..

[7]  Richard G. Allen,et al.  Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model , 2007 .

[8]  William J. Ripple,et al.  Spectral reflectance relationships to leaf water stress , 1986 .

[9]  Changsheng Li,et al.  Mapping paddy rice agriculture in southern China using multi-temporal MODIS images , 2005 .

[10]  Qiming Qin,et al.  Estimating crop water stress with ETM+ NIR and SWIR data , 2008 .

[11]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[12]  H. Turral,et al.  Evapotranspiration and regional probabilities of soil moisture stress in rainfed crops, southern India , 2008 .

[13]  F. Kogan.  Application of vegetation index and brightness temperature for drought detection , 1995 .

[14]  J. C. Price.  Calibration of satellite radiometers and the comparison of vegetation indices , 1987 .

[15]  H. van Keulen,et al.  The 'School of de Wit' crop growth simulation models: a pedigree and historical overview. , 1996 .

[16]  Thomas J. Schmugge,et al.  Remote estimation of soil moisture availability and fractional vegetation cover for agricultural fields , 1990 .

[17]  I. Rodríguez‐Iturbe,et al.  Soil Water Balance and Ecosystem Response to Climate Change , 2004, The American Naturalist.

[18]  P. Chavez.  Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .