Tanuja, P and Varun, G
(2017)
Monitoring of cotton croplands in Odisha using geospatical tools.
Other thesis, Centurion University of Technology and Management, Paralakhemundi, Odisha, India.
Supervisors
| Supervisors Name | Supervisors ID |
|---|
| Gumma, M.K. | ICRISAT(Patancheru) |
Abstract
Agriculture is the backbone of our Indian economy and the crucial sector for ensuring food security. Timely availability of information on agriculture is vital for taking informed decisions on food security issues. India is one of the few countries in the world that uses space technology and land-based observations for generating regular updates on crop production statistics and providing inputs to achieve sustainable agriculture. For proper planning and efficient utilization of the land and water, it is necessary to understand the crop period, necessary types of crops to be cultivated in the suitable areas and hydrological cycle. The reliable prediction of crop and hydrological parameters for remote and inaccessible areas is tedious and time consuming by conventional or traditional methods. As the technology is improving in the field of agriculture it became easy for off and on farm activities. Use of mathematical models for extracting the crop characteristics using Remote sensing and Geographical Information System (GIS) with high speed computers is aiding tools and techniques for it. As the part of the technology, Geospatial tools play a vital role in the field of agriculture.In the present study, MRT2011 (MODIS Reprojection Tool, Version 4.1), was developed to support higher level MODIS Land products which are distributed as Hierarchical Data Format (.hdf) -Earth Observing System (HDF-EOS) files projected to a tile-based Sinusoidal grid(.tif). This software was applied to districts of Odisha (Rayagada, Kalahandi and Balangir) and extracted the NDVI (Normalized Difference Vegetative Index). This helps in identification of Crop area and other vegetative indices. Then the classification of LULC (Land use/land cover) is done using the ERDAS Imagine2014 (ver.14.00). To study the diversification of crops, we need to collect the data and analysis has been done taking into consideration of major crop of the study area like Rice. Our study mainly focuses on how Cotton replaces Rice in some parts of study area (i.e., from 2002-2014 is 29000ha to 135000ha) due to lack of irrigation facilities and unproductive soils with low yields. By taking the data of 2013-14 and carried out the classification using above software. This result shows the amount of area affected to crop diversification.
View Statistics
Actions (login required)
 |
View Item |
Altmetric
Altmetric