Qadir, Abdul and Abir, Ismail Ahmad and Nawaz, Sabbah and Khan, Nizamuddin and Aman, Mohammad Adil and Olukunle, Rauff Kazeem and Akhtar, Naseem and Anees, Mohd Talha and Hossain, Kaizar and Ahmad, Akil (2019) Crop Acreage and Crop Yield Estimation using Remote Sensing and GIS Techniques, Bulandshahr District. Indian Journal of Ecology, 46 (3). pp. 470-474. ISSN 0304-5250,
Full text not available from this repository.Abstract
Present study was conducted in the Bulandshahr district, Uttar Pradesh, India, for land use land cover changes, density of vegetation, difference vegetation index and estimation of crop yield for the year of 2000 and 2014. Remote sensing and geographical information system techniques were used in this study. Five land use land cover classes were identified such as built-up land, open land, crop land, and natural vegetation and water bodies through supervised classification with an accuracy of 97.9 and 99.5 per cent for the year 2000 and 2014, respectively. Increment in built-up land, open land and crop land were observed while natural vegetation was decline up to 15.6 per cent in fourteen years. Highest NDVI values for 2000 and 2014 were 0.4141 and 0.4166 while lowest were -0.4127 and -0.4166. In the crop yield estimation, an average of 3.7 x 106 ton ha-1 crop production was estimated. Overall, the study showed that the use of remote sensing and GIS in crop yield estimation was better as compared to traditional techniques. © 2019 Ecological Society of India. All rights reserved.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Crop yield estimation; Difference vegetation index; Geographical information system; Normalised difference vegetation index; Remote sensing |
| Subjects: | G Geography. Anthropology. Recreation Q Science > QE Geology |
| Divisions: | Faculty of Science > Department of Geology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 11 Feb 2020 03:40 |
| Last Modified: | 11 Feb 2020 03:40 |
| URI: | http://eprints.um.edu.my/id/eprint/23735 |
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