ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT
Wheat (<i>Triticum aestivum</i> L.) is a major cereal crop of the world, which plays an important role in global food and nutritional security. In India, wheat grown areas are more as compared to other food crops, except for rice. The total area under wheat cultivation is 30.60 million h...
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| Format: | Article |
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Copernicus Publications
2019-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/223/2019/isprs-archives-XLII-3-W6-223-2019.pdf |
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| author | S. Kumar S. Saxena S. K. Dubey K. Chaudhary S. Sehgal Neetu S. S. Ray |
| author_facet | S. Kumar S. Saxena S. K. Dubey K. Chaudhary S. Sehgal Neetu S. S. Ray |
| author_sort | S. Kumar |
| collection | DOAJ |
| description | Wheat (<i>Triticum aestivum</i> L.) is a major cereal crop of the world, which plays an important role in global food and nutritional security. In India, wheat grown areas are more as compared to other food crops, except for rice. The total area under wheat cultivation is 30.60 million hectares with production of 98.38 million tonnes and the productivity is 3.22 tonnes /hectare (DES, 2017). The main objective of this paper is to highlight the development of satellite-based methodology, compare the relative deviations (%) at national level, RMSE (%) and correlation coefficient at state level and correlation coefficient at district level between DES and FASAL estimates from 2013 to 2017. It was observed that the area and production estimates improved with improvement in the satellite resolution and ground truth data. During the last 10 years of estimation the spatial resolution of the satellite data has gradually improved from 23.5 meter of (Reourcesat-2, LISS-III) and finally 10 m of Sentinel-2, MSI, which is being currently used for acreage estimation purpose. Hooda R.S et al (2006) studied that the improvement in the spatial resolution, spectral and temporal resolution of the satellite data has also improved the crop discrimination. Both accuracy as well as precision of the estimates has improved over the years from 2013 to 2017, as reflected by relative deviation, RMSE (%) and Coefficient of correlation values at national, state and district level respectively. |
| first_indexed | 2024-12-19T23:00:20Z |
| format | Article |
| id | doaj.art-d3ac3feb651c4773b6430cc301358d5b |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-19T23:00:20Z |
| publishDate | 2019-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-d3ac3feb651c4773b6430cc301358d5b2022-12-21T20:02:31ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-07-01XLII-3-W622322810.5194/isprs-archives-XLII-3-W6-223-2019ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECTS. Kumar0S. Saxena1S. K. Dubey2K. Chaudhary3S. Sehgal4Neetu5S. S. Ray6Mahalanobis National Crop Forecast Centre, DAC&FW, New Delhi, IndiaMahalanobis National Crop Forecast Centre, DAC&FW, New Delhi, IndiaMahalanobis National Crop Forecast Centre, DAC&FW, New Delhi, IndiaMahalanobis National Crop Forecast Centre, DAC&FW, New Delhi, IndiaMahalanobis National Crop Forecast Centre, DAC&FW, New Delhi, IndiaMahalanobis National Crop Forecast Centre, DAC&FW, New Delhi, IndiaMahalanobis National Crop Forecast Centre, DAC&FW, New Delhi, IndiaWheat (<i>Triticum aestivum</i> L.) is a major cereal crop of the world, which plays an important role in global food and nutritional security. In India, wheat grown areas are more as compared to other food crops, except for rice. The total area under wheat cultivation is 30.60 million hectares with production of 98.38 million tonnes and the productivity is 3.22 tonnes /hectare (DES, 2017). The main objective of this paper is to highlight the development of satellite-based methodology, compare the relative deviations (%) at national level, RMSE (%) and correlation coefficient at state level and correlation coefficient at district level between DES and FASAL estimates from 2013 to 2017. It was observed that the area and production estimates improved with improvement in the satellite resolution and ground truth data. During the last 10 years of estimation the spatial resolution of the satellite data has gradually improved from 23.5 meter of (Reourcesat-2, LISS-III) and finally 10 m of Sentinel-2, MSI, which is being currently used for acreage estimation purpose. Hooda R.S et al (2006) studied that the improvement in the spatial resolution, spectral and temporal resolution of the satellite data has also improved the crop discrimination. Both accuracy as well as precision of the estimates has improved over the years from 2013 to 2017, as reflected by relative deviation, RMSE (%) and Coefficient of correlation values at national, state and district level respectively.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/223/2019/isprs-archives-XLII-3-W6-223-2019.pdf |
| spellingShingle | S. Kumar S. Saxena S. K. Dubey K. Chaudhary S. Sehgal Neetu S. S. Ray ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT |
| title_full | ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT |
| title_fullStr | ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT |
| title_full_unstemmed | ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT |
| title_short | ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT |
| title_sort | analysis of wheat crop forecasts in india generated using remote sensing data under fasal project |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/223/2019/isprs-archives-XLII-3-W6-223-2019.pdf |
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