To increase food security in a drought-prone area, the water harvesting, capture and storage of rainwater are technologies proven for uses during dry periods. Erosion control and groundwater revive are extra favorable circumstances of water harvesting techniques that contribute to agricultural development and resource conservation. The contour map of the study area is used to select the location for the creation of the farm pond. Clay loam is found in soil texture analysis. For clay loam soil, the study area with a depth of 3.5 m and a side slope of 1.5:1 may be suitable. The available rainfall was computed for 75% probability by using empirical formula is found to 1.41483 ha-m. The tube well draft was calculated to be 0.8640 ha-m. The capacity of the designed farm pond is 0.6639 ha-m. The proposed pond facilitated total supplemental irrigation of 8.5 cm depth to an area of 6.5 ha paddy.
A technical report was conducted for checking performance assessment of drip irrigation system which was used for cultivating tomato in premises of the Centre of Excellence Protected Cultivation, Raipur (Chhattisgarh). A uniformity coefficient was found for drip irrigation system which ranges from 73.2 % to 83.6%. The coefficient of variance varies between 0.0055 to 0.0068 for the measured discharges of four laterals laid in the field. It shows that there is the least variation between the obtained flow rates of different laterals under study. The application efficiency of four different lateral lines operating at a pressure of 1.25 kg/cm2 was calculated and it found to be more than 90.00 %, excluding lateral line (L2). Almost same amount of flow variation (8-9%) is found in lateral lines L1, L3 and L4, although Lateral line (L2) discharges 11.00 % more water among others. The maximum flow variation was found for the lateral line (L3) and the least flow variation was for the lateral line (L1). The distribution efficiency of all the laterals was found more than 97.45 %.
Land use and land cover (LULC) classification mapping is important for evaluating, monitoring, protecting and planning for land resources. A key factor in extracting desired information from satellite images is choosing the right the spatial resolution. The scale of a pixel on the ground is known as spatial resolution. A pixel is the smallest ‘dot' that makes up an optical satellite image which defines the level of detail as in image. In this paper estimation of the areal extent of water, built up, barren land, vegetation land and fallow land classes with its classification accuracy were reviewed particularly for January 2013 and November 2016 in Karmala tehsil of Solapur district, India. LULC is implied by different spatial resolution images of Advanced Wide Field Sensor (AWiFS), Linear Imaging Self Scanning Sensor (LISS-III), Landsat-8 Operational Land Imager (OLI) and Sentinel-2A imageries in QGIS environment while the classification was carried out using the maximum likelihood algorithm (MLA). The classified maps obtained from AWiFS and LISS-III sensors, as well as Sentinel-2A and Landsat-8 OLI data sets, were compared separately. Spatial analysis depicts that the Kappa coefficient of Sentinal-2A, Landsat-8, LISS III and AWiFS was found 96.96%, 91.64%, 87.30% and 89.36%. Furthermore, overall accuracy of was found to be 99.07%, 94.49%, 89.84% and 94.08% respectively. The accuracy of the classified image with higher spatial resolution (Sentinal-2A) proved more informative than that of lower resolution (AWiFS) sensor. On the response, the finer spatial resolution of Sentinal-2A (10 m) delivered more precise details and enhanced LULC classification accuracy most reliably than the coarser spatial resolution of Landsat-8 (30m), LISS III (23m) and AWiFS (56m) image. A perusal of data revealed that the overall accuracy and Kappa coefficient was found proportionate to spatial resolution of satellite imageries. The higher resolution spatial data also greatly reduces the mixed-pixel problem. The study revealed that the spatial resolution plays an important role and affects classification details and accuracy of LULC level.
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