A method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC campaigns
The Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-Board Autonomy (PROBA) platform system provides the first high spatial resolution hyper-spectral/multiangular remote sensing data from a satellite system, what represents a new source of information for Earth Observa...
| Main Authors: | , , |
|---|---|
| Format: | Journal article |
| Published: |
2005
|
| _version_ | 1826286448512335872 |
|---|---|
| author | Guanter, L Alonso, L Moreno, J |
| author_facet | Guanter, L Alonso, L Moreno, J |
| author_sort | Guanter, L |
| collection | OXFORD |
| description | The Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-Board Autonomy (PROBA) platform system provides the first high spatial resolution hyper-spectral/multiangular remote sensing data from a satellite system, what represents a new source of information for Earth Observation purposes. A fully consistent radiative transfer approach is always preferred when dealing with the retrieval of surface reflectance from hyperspectral/multiangular data. However, due to the reported calibration anomalies for CHRIS data, a direct atmospheric correction based on physical radiative transfer modeling is not possible, and the method must somehow compensate for such calibration problems in specific wavelength ranges. A dedicated atmospheric correction algorithm for PROBA/CHRIS data over land is presented in this work. It consists in the combination of radiative transfer and empirical Une approaches to atmospheric correction, in order to retrieve surface reflectance images free from both the atmospheric distortion and artifacts due to miscalibration. The atmospheric optical parameters and the updated set of calibration coefficients are obtained jointly in an autonomous process, without the need for any ancillary data. Results from the application of the algorithm to PROBA/CHRIS data from the two European Space Agency SPectra bARrax Campaign (SPARC) held at the Barrax study site (La Mancha, Spain) in 2003 and 2004 are presented in this work, focusing on the validation of the final surface reflectance using in situ measurements acquired simultaneously to PROBA overpasses. © 2005 IEEE. |
| first_indexed | 2024-03-07T01:43:55Z |
| format | Journal article |
| id | oxford-uuid:97c5615a-c671-4659-95f0-cea72e1d01c4 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T01:43:55Z |
| publishDate | 2005 |
| record_format | dspace |
| spelling | oxford-uuid:97c5615a-c671-4659-95f0-cea72e1d01c42022-03-27T00:02:17ZA method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC campaignsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:97c5615a-c671-4659-95f0-cea72e1d01c4Symplectic Elements at Oxford2005Guanter, LAlonso, LMoreno, JThe Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-Board Autonomy (PROBA) platform system provides the first high spatial resolution hyper-spectral/multiangular remote sensing data from a satellite system, what represents a new source of information for Earth Observation purposes. A fully consistent radiative transfer approach is always preferred when dealing with the retrieval of surface reflectance from hyperspectral/multiangular data. However, due to the reported calibration anomalies for CHRIS data, a direct atmospheric correction based on physical radiative transfer modeling is not possible, and the method must somehow compensate for such calibration problems in specific wavelength ranges. A dedicated atmospheric correction algorithm for PROBA/CHRIS data over land is presented in this work. It consists in the combination of radiative transfer and empirical Une approaches to atmospheric correction, in order to retrieve surface reflectance images free from both the atmospheric distortion and artifacts due to miscalibration. The atmospheric optical parameters and the updated set of calibration coefficients are obtained jointly in an autonomous process, without the need for any ancillary data. Results from the application of the algorithm to PROBA/CHRIS data from the two European Space Agency SPectra bARrax Campaign (SPARC) held at the Barrax study site (La Mancha, Spain) in 2003 and 2004 are presented in this work, focusing on the validation of the final surface reflectance using in situ measurements acquired simultaneously to PROBA overpasses. © 2005 IEEE. |
| spellingShingle | Guanter, L Alonso, L Moreno, J A method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC campaigns |
| title | A method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC campaigns |
| title_full | A method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC campaigns |
| title_fullStr | A method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC campaigns |
| title_full_unstemmed | A method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC campaigns |
| title_short | A method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC campaigns |
| title_sort | method for the surface reflectance retrieval from proba chris data over land application to esa sparc campaigns |
| work_keys_str_mv | AT guanterl amethodforthesurfacereflectanceretrievalfromprobachrisdataoverlandapplicationtoesasparccampaigns AT alonsol amethodforthesurfacereflectanceretrievalfromprobachrisdataoverlandapplicationtoesasparccampaigns AT morenoj amethodforthesurfacereflectanceretrievalfromprobachrisdataoverlandapplicationtoesasparccampaigns AT guanterl methodforthesurfacereflectanceretrievalfromprobachrisdataoverlandapplicationtoesasparccampaigns AT alonsol methodforthesurfacereflectanceretrievalfromprobachrisdataoverlandapplicationtoesasparccampaigns AT morenoj methodforthesurfacereflectanceretrievalfromprobachrisdataoverlandapplicationtoesasparccampaigns |