Record Details

Monitoring Of Irrigated Areas In Gujarat State Using Gee Cloud Based Algorithm

OAR@ICRISAT

View Archive Info
 
 
Field Value
 
Relation http://oar.icrisat.org/11698/
 
Title Monitoring Of Irrigated Areas In Gujarat State Using Gee Cloud Based Algorithm
 
Creator Tata, Vineela
 
Subject GIS Techniques/Remote Sensing
 
Description The main aim of this study to identify the irrigated areas in Gujarat state using GEE using Sentinel-2 satellite imagery for crop year 2018-19. Traditionally, the classification is carried by downloading satellite images from available websites and processing of images in available software like Erdas, ArcGIS etc. The freely available high spatial resolution satellite datasets like Landsat-8, Sentinel -1 and Sentinel-2 consumes large amount of storage and also requires high end computers for processing and analyzing. In order to overcome some of the difficulties, Google Earth Engine (GEE), the most advanced cloud-based geospatial processing platform is being used. The download of satellite imagery, image processing and image classification etc. will be carried out in GEE with the help of Random Forest Algorithm. The results include LULC map, Rice crop extent map, Identification of rice crop extent The above maps will be validated using independent samples. These results help Government agencies and policy makers for quick decision making and implementation of their programme.
 
Date 2020
 
Type Thesis
NonPeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://oar.icrisat.org/11698/1/vin_final%20%281%29%20%283%29%20%281%29.pdf
Tata, Vineela (2020) Monitoring Of Irrigated Areas In Gujarat State Using Gee Cloud Based Algorithm. Masters thesis, Jawaharlal Nehru Technological University, Hyderabad.