Browsing by Author "Ghosh, Ranendu"
Now showing items 1-6 of 6
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Comparative study of single date (LISS-III) and multi-date (AWiFS) satellite data for pre-harvest mustard and wheat crop production forecasting
Singh, Mridula (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)The study presents the learning of methodology or approaches already developed for classifying wheat and mustard crops production forecasting using NDVI time-series derived from multi-date A WiFS data and single date ... -
Comparative study of single date (LISS-III) and multi-date (AWiFS) satellite data for pre-harvest wheat crop production forecasting of Vidisha district, Madhya Pradesh, India
Thakar, Kashyap (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)The study was aimed to learn the techniques for crop production forecasting, using single date LISS-III data and multi date A WiFS data for Vidisha District, Madhya Pradesh, India. The techniques in complete enumeration ... -
Desertification characterization using predictive soil modelling and pattern recognition
Dave, Viral A. (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)This thesis presents a hierarchical methodology for land degradation mapping,land use land cover classification, degradation process identification and map-ping using multispectral LISS-3 images. The study aims to demonstrate ... -
Heavy Metal Detection in Crops and Soil Clay Mineral Abundance Mapping using Hyperspectral Data
Priya, Swati (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)Presence of heavy metal in crops is an indicator of environmental pollution. Theheavy metals found in the plant indicate that the specific metal exists in the terrestrialenvironment. These metals affect leaves� spectral ... -
Multi-crop classi cation using hyperspectral data: comparison of classical machine learning and convolutional neural network techniques
Ghodgaonkar, Abhijeet (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)Hyperspectral remote sensing is one of the most exciting elds of remote sensing with the enormous size of data due to high spectral resolution. Hyperspectral data has both spatial and spectral components making a datacube ... -
Study of existing farming system of small and marginal farmers of watershed project area and its scope for improvement
Sharma, Hemant; Patidar, Nilesh (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)Most important factor of success of any program carried out by government is dependent on people participation. Sensitization of rural people about watershed programs is must in order to ensure their participation in the ...