KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/34442| Title: | Field scale wheat LAI retrieval from multispectral Sentinel 2A-MSI and LandSat 8-OLI imagery: effect of atmospheric correction, image resolutions and inversion techniques |
| Other Titles: | Not Available |
| Authors: | Rajkumar Dhakar Vinay Kumar Sehgal Debasish Chakraborty Rabi Narayan Sahoo Joydeep Mukherjee |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Research Institute |
| Published/ Complete Date: | 2019-11-12 |
| Project Code: | CRSCIARISIL2014028260 |
| Keywords: | Remote Sensing Crop Leaf area index Wheat resolution |
| Publisher: | Taylor & Francis |
| Citation: | Rajkumar Dhakar, Vinay Kumar Sehgal, Debasish Chakraborty, Rabi Narayan Sahoo & Joydeep Mukherjee (2019): Field scale wheat LAI retrieval from multispectral Sentinel 2AMSI and LandSat 8-OLI imagery: effect of atmospheric correction, image resolutions and inversion techniques, Geocarto International, DOI: 10.1080/10106049.2019.1687591 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | This study assessed the effect of atmospheric correction algorithms,inversion techniques and image spatial and spectral resolution on wheat crop LAI retrieval using Sentinel-2 MSI and Landsat-8 OLI imagery. The LAI retrievals were validated with insitu measurements collected in farmers’ fields. The MSI-based LAI retrievals improved significantly when images were atmospherically corrected using MODTRAN than using the libRadtran code. Among the two PROSAIL inversion approaches, look-up table outperforms artificial neural network for LAI retrievals. Using the best strategy of atmospheric correction and inversion, the effect of spatial resolution from 20m (MSI) to 30m (OLI) while using common six bands, showed non-significant improvement in LAI retrievals. The inclusion of additional two red-edge bands as available in MSI significantly reduced the uncertainly in LAI retrievals over that obtained by using six bands, while inclusion of only additional VNIR band did not show any significant effect on LAI retrievals. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | ICAR-National Innovations on Climate Resilient Agriculture (NICRA) project IARI in-house project [CRSCIARISIL2014028260] |
| Language: | English |
| Name of Journal: | Geocarto International |
| NAAS Rating: | 9.79 |
| Volume No.: | Not Available |
| Page Number: | Not Available |
| Name of the Division/Regional Station: | Division of Agricultural Physics |
| Source, DOI or any other URL: | https://doi.org/10.1080/10106049.2019.1687591 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/34442 |
| Appears in Collections: | CS-IARI-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.