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

  Tata Vineela,  Gumma Murali Krishna,  Ballu Harish

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 programmes

Keywords- Google Earth Engine, Irrigated area

Unique Identification Number - IJEDR2101018
Page Number(s) - 147-158
Pubished in - Volume 9 | Issue 1 | January 2021
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Tata Vineela,  Gumma Murali Krishna,  Ballu Harish,   "Monitoring Of Irrigated Areas In Gujarat State Using Gee Cloud Based Algorithm", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 1, pp.147-158, January 2021, Available at :http://www.ijedr.org/papers/IJEDR2101018.pdf