• Sangeeta Singh
• Sangeeta Singh
• Anupam Kumar Gautam

Detection of vegetation water stress analyse for irrigation scheduling. Satellite monitoring of vegetation water stress is very important for precision agriculture, which realise on time of irrigation to ensure crops will not suffer from water stress and produce maximum potential yield under limited water condition. Potential of satellite data provide spatial and temporal dynamics of crop growth condition under water stress and analyse for suggestion of irrigation. This study was conducted in Bundhelkhand region of Lalitpur district, temporal Landsat data OLI+TIRS was used for detecting water stress using the thermal and optical indices. Land surface temperature, normalized vegetation index and normalized water stress index was used for normalized moisture index to find out water stress condition. The main objective of this study was to detect crop water stress using different optical and thermal based indices to suggest irrigation. The time series NDVI data was used to extract wheat area of Lalitpur District. Extracted wheat area of the district was 125,296 ha. The comparative analysis of normalize moisture index and land surface temperature was used to determine the thermal water stress index for wheat crop in the study area. The output comes in four group of water stress condition as; Normal – Group 1 or class four (NMI > 1) no water with dense vegetation and low temperature, Low stress – Group 2 or class 3 (1> NMI > 0.8) thermal water stress due higher surface temperature and sparser temperature, Moderate stress – Group 3 and class 2 (0.8 > NMI > 0.5) strong water stress due sparser vegetation and Severe stress – Group 4 and class 1 (0.5 NMI > 0) very high or severe thermal water stress due to high temperature and very low vegetation. Whereas the land surface temperature was negatively correlated with NMI. When NMI is higher the LST was lower and vice versa. The overall study indicates that, Lalitpur district has a water scarcity region. For better agricultural production there is lack of irrigation facility. Due to this crop are in water stress condition and they do not grow properly. The result was used to suggest better irrigation practices for proper growth of wheat crop in Lalitpur district to improve production. On the basis of this research work the better time for irrigation scheduling was suggest as; first irrigation during 8 December to 25 December and second during irrigation 25 January to 15 February. Other than this when severe water stress is shown in the output the irrigation should be must at that time.

Thermal water stress, NDVI, NDWI, Land surface temperature, Scheduling irrigation, Wheat area extraction, Production

"DETECTION OF VEGETATION WATER STRESS ANALYSE FOR IRRIGATION SCEDULING IN LALITPUR DISTREICT [U.P]", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.108-119, September-2018, Available :http://www.jetir.org/papers/JETIR1809816.pdf

"DETECTION OF VEGETATION WATER STRESS ANALYSE FOR IRRIGATION SCEDULING IN LALITPUR DISTREICT [U.P]", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp108-119, September-2018, Available at : http://www.jetir.org/papers/JETIR1809816.pdf