Optimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions
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: 2014شناسه الکترونیک: 10.1109/TGRS.2013.2238242
کلیدواژه(گان): remote sensing,vegetation,Barrax,ESA-led field campaign,LUT-Based RTM Inversion,PROSAIL model,SPARC,Sentinel-2 data,Sentinel-3 data,Spain,biophysical parameter,cost functions,crop biophysical parameters,leaf area index,leaf chlorophyll content,lookup-table approach,old generation satellite sensors,optimization strategies,radiative transfer models,satellite reflectance data,semiautomatic mapping,superspectral images,Agriculture,Biological system modeling,Cost function,Sat
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Optimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions
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| contributor author | Verrelst, Jochem | |
| contributor author | Rivera, Juan Pablo | |
| contributor author | Leonenko, Ganna | |
| contributor author | Alonso, Luis | |
| contributor author | Moreno, J. | |
| date accessioned | 2020-03-12T18:21:45Z | |
| date available | 2020-03-12T18:21:45Z | |
| date issued | 2014 | |
| identifier issn | 0196-2892 | |
| identifier other | 6464574.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/955922 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Optimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7987748 | |
| subject keywords | remote sensing | |
| subject keywords | vegetation | |
| subject keywords | Barrax | |
| subject keywords | ESA-led field campaign | |
| subject keywords | LUT-Based RTM Inversion | |
| subject keywords | PROSAIL model | |
| subject keywords | SPARC | |
| subject keywords | Sentinel-2 data | |
| subject keywords | Sentinel-3 data | |
| subject keywords | Spain | |
| subject keywords | biophysical parameter | |
| subject keywords | cost functions | |
| subject keywords | crop biophysical parameters | |
| subject keywords | leaf area index | |
| subject keywords | leaf chlorophyll content | |
| subject keywords | lookup-table approach | |
| subject keywords | old generation satellite sensors | |
| subject keywords | optimization strategies | |
| subject keywords | radiative transfer models | |
| subject keywords | satellite reflectance data | |
| subject keywords | semiautomatic mapping | |
| subject keywords | superspectral images | |
| subject keywords | Agriculture | |
| subject keywords | Biological system modeling | |
| subject keywords | Cost function | |
| subject keywords | Sat | |
| identifier doi | 10.1109/TGRS.2013.2238242 | |
| journal title | Geoscience and Remote Sensing, IEEE Transactions on | |
| journal volume | 52 | |
| journal issue | 1 | |
| filesize | 1070045 | |
| citations | 0 |