Potential of optical and radar satellite observations to estimate rice biophysical variables and rice yield estimation
Potential of optical and radar satellite observations to estimate rice biophysical variables and rice yield estimation
In Thailand, rice yield is normally derived from Crop Cutting Experiments (CCEs) and found lately for agricultural planning policy. The potential of remote sensing is widely adopted for crop monitoring and yield estimation; however, there are few research using satellite data and rice biophysical parameters in Thailand. Thus, the objective of study is investigating the potential of Optical (Sentinel-2) and Synthetic Aperture Radar (SAR- Sentinel-1) for estimating rice biophysical and rice yield by developing a linear regression model in the three representative’s provinces located in the Chao Phraya River delta, Thailand.
Chao Phraya River delta, EVI, Enhanced Vegetation Index, NDVI, Normalized Difference Vegetation Index, Sentinel-1, Sentinel-2, Thailand, backscatter coefficient, linear regression model, rice biophysical, sigma nought (σ), vegetation indices, yield estimation, sigma nought (σ )
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Nontasiri, J.
15c13e9b-7764-4a1a-879b-893aba7e4201
Dash, J.
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Roberts, G.
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Neale, Christopher M.U.
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Maltese, Antonino
9b354a39-9865-4a43-a65e-f9b9595cea9a
Nontasiri, J.
15c13e9b-7764-4a1a-879b-893aba7e4201
Dash, J.
51468afb-3d56-4d3a-aace-736b63e9fac8
Roberts, G.
fa1fc728-44bf-4dc2-8a66-166034093ef2
Neale, Christopher M.U.
c25e43b2-3aeb-4d04-a4ae-242dc5e9d9f4
Maltese, Antonino
9b354a39-9865-4a43-a65e-f9b9595cea9a
Nontasiri, J., Dash, J. and Roberts, G.
(2023)
Potential of optical and radar satellite observations to estimate rice biophysical variables and rice yield estimation.
Neale, Christopher M.U., Maltese, Antonino, Neale, Christopher M.U. and Maltese, Antonio
(eds.)
In Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV.
vol. 12727,
SPIE.
.
(doi:10.1117/12.2680307).
Record type:
Conference or Workshop Item
(Paper)
Abstract
In Thailand, rice yield is normally derived from Crop Cutting Experiments (CCEs) and found lately for agricultural planning policy. The potential of remote sensing is widely adopted for crop monitoring and yield estimation; however, there are few research using satellite data and rice biophysical parameters in Thailand. Thus, the objective of study is investigating the potential of Optical (Sentinel-2) and Synthetic Aperture Radar (SAR- Sentinel-1) for estimating rice biophysical and rice yield by developing a linear regression model in the three representative’s provinces located in the Chao Phraya River delta, Thailand.
Text
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e-pub ahead of print date: 17 October 2023
Venue - Dates:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, , Amsterdam, Netherlands, 2023-09-03 - 2023-09-07
Keywords:
Chao Phraya River delta, EVI, Enhanced Vegetation Index, NDVI, Normalized Difference Vegetation Index, Sentinel-1, Sentinel-2, Thailand, backscatter coefficient, linear regression model, rice biophysical, sigma nought (σ), vegetation indices, yield estimation, sigma nought (σ )
Identifiers
Local EPrints ID: 486525
URI: http://eprints.soton.ac.uk/id/eprint/486525
ISSN: 0277-786X
PURE UUID: 27a365a0-79c0-49c7-a0fc-c36aa38aca99
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Date deposited: 25 Jan 2024 17:31
Last modified: 18 Mar 2024 03:18
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Contributors
Editor:
Christopher M.U. Neale
Editor:
Antonino Maltese
Editor:
Christopher M.U. Neale
Editor:
Antonio Maltese
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