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| Content Provider | Springer Nature Link |
|---|---|
| Author | Vyas, Swapnil Nigam, Rahul Patel, N. K. Panigrahy, Sushma |
| Copyright Year | 2013 |
| Abstract | Monitoring of Agricultural crops using remote sensing data is an emerging tool in recent years. Spatial determination of sowing date is an important input of any crop model. Geostationary satellite has the capability to provide data at high temporal interval to monitor vegetation throughout the entire growth period. A study was conducted to estimate the sowing date of wheat crop in major wheat growing states viz. Punjab, Haryana, Uttar Pradesh (UP), Madhya Pradesh (MP), Rajasthan and Bihar. Data acquired by Charged Couple Detector (CCD) onboard Indian geostationary satellite INSAT 3A have continental (Asia) coverage at 1 km × 1 km spatial resolution in optical spectral bands with high temporal frequency. Daily operational Normalized Difference Vegetation Index (NDVI) product from INSAT 3A CCD available through Meteorological and Oceanographic Satellite Data Archival Centre (MOSDAC) was used to estimate sowing date of wheat crop in selected six states. Daily NDVI data acquired from September 1, 2010 to December 31, 2010 were used in this study. A composite of 7 days was prepared for further analysis of temporal profile of NDVI. Spatial wheat crop map derived from AWiFS (56 m) were re-sampled at INSAT 3A CCD parent resolution and applied over each 7 day composite. The characteristic temporal profiles of 7 day NDVI composite was used to determine sowing date. NDVI profile showed decreasing trend during maturity of kharif crop, minimum value after harvest and increasing trend after emergence of wheat crop. A mathematical model was made to capture the persistent positive slope of NDVI profile after an inflection point. The change in behavior of NDVI profile was detected on the basis of change in NDVI threshold of 0.3 and sowing date was estimated for wheat crop in six states. Seven days has been deducted after it reached to threshold value with persistent positive slope to get sowing date. The clear distinction between early sowing and late sowing regions was observed in study area. Variation of sowing date was observed ranging from November 1 to December 20. The estimated sowing date was validated with the reported sowing date for the known wheat crop regions. The RMSD of 3.2 (n = 45) has been observed for wheat sowing date. This methodology can also be applied over different crops with the availability of crop maps. |
| Starting Page | 855 |
| Ending Page | 864 |
| Page Count | 10 |
| File Format | |
| ISSN | 0255660X |
| Journal | Journal of the Indian Society of Remote Sensing |
| Volume Number | 41 |
| Issue Number | 4 |
| e-ISSN | 09743006 |
| Language | English |
| Publisher | Springer India |
| Publisher Date | 2013-05-19 |
| Publisher Place | India |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Wheat INSAT 3A CCD Geostationary Satellite Sowing date Earth Sciences Remote Sensing/Photogrammetry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Geography, Planning and Development |
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