IIT Roorkee, India
Title: Assessment of Cropping Pattern And Crop Yield With Satellite Data Before Harvesting And Climate Uncertainty: A Case Study Of Tawa Reservoir Command Area, India
Deepak Khare has been working in the area of Water Resources Management, Climate Change, Water Resources & Crop Planning in Canal command etc. He has published more than 200 research papers and guided 18 Ph.D. theses and 90 M.Tech dissertations. Received many awards, prominent ones are four (04) national awards. Also received Outstanding Teacher Award by IIT Roorkee and ‘Global Water Leadership Award”, 2016. He has made significant contributions in water management strategies for water resources projects and optimal utilization of surface & ground water to achieve optimal cropping pattern, which yields maximum crop yield. His present area of interests is mainly related to climate change studies for water resources projects, river basin, canal command, urban water management etc.
Satellite data provide a wide approach for estimation of crop data even before harvesting. So that government and user will prepare according to estimated production. This also helps us to identify crop disease and area with lower production. A survey was required to drive relation between satellite data and ground data of crops so, survey has been conducted in at the end Kharif season. It was planned to collect information from farmers and collection of GPS point and even Geotagged photos. All GPS data collected in digital format and crop attribute defined on the spot during survey. During survey, we have approached places which were difficult to approach. Interacted with farmers and collated photo and High definition video of all work. We have collected data from 24 villages of Tawa command area, (Water Resources Project on Narmada River, India), 541 GPS points with attributes, 550 Geotagged Photo and Videos and extensive survey was made from selected farmers from command area. Questionnaire and Survey code used. Then all data collected from farmers converted to digital format for analysis. All GPS data is processed by GIS model and represent as spatial distribution of cropping pattern. Secondly, Crop distribution map is generated by combining field and satellite data. For kharif session it is very rare we get clout free satellite image when leaf area of crop is maximum, but we have carefully selected an image with minimum cloud cover. For Rabi season, we have also obtained cloud free image with maximum growth period. Then we have tested and developed various model for crop yield and distribution analysis. Our Model contain linear and experimental tested model. Both model provide almost same result and even we calibrated our model because have actual field data. So, generated maps also shown in the present paper and methodology is also explained. It is found during survey yield production of crops is improving if we compare old data of government. Satellite image also show health index of command discussed in this paper. Present study highlight the change in cropping pattern after the canal project was commissioned before four decades. The design discharges at different location so of canal system at the time of project conception needs to be evaluated under existing conditions as per present practices of cropping pattern, the paper discusses these issue in detail.