author_facet Liu, Q.
Liu, Q.
author Liu, Q.
spellingShingle Liu, Q.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
General Earth and Planetary Sciences
General Environmental Science
author_sort liu, q.
spelling Liu, Q. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprsarchives-xxxviii-8-w20-151-2011 <jats:p>Abstract. At first, research advances on radiation transfer modeling on multi-scale remote sensing data are presented: after a general overview of remote sensing radiation transfer modeling, several recent research advances are presented, including leaf spectrum model (dPROS-PECT), vegetation canopy BRDF models, directional thermal infrared emission models(TRGM, SLEC), rugged mountains area radiation models, and kernel driven models etc. Then, new methodologies on land surface parameters inversion based on multi-source remote sensing data are proposed. The land surface Albedo, leaf area index, temperature/emissivity, and surface net radiation etc. are taken as examples. A new synthetic land surface parameter quantitative remote sensing product generation system is designed and the software system prototype will be demonstrated. At last, multi-scale field experiment campaigns, such as the field campaigns in Gansu and Beijing, China will be introduced briefly. The ground based, tower based, and airborne multi-angular measurement system have been built to measure the directional reflectance, emission and scattering characteristics from visible, near infrared, thermal infrared and microwave bands for model validation and calibration. The remote sensing pixel scale "true value" measurement strategy have been designed to gain the ground "true value" of LST, ALBEDO, LAI, soil moisture and ET etc. at 1–km2 for remote sensing product validation. </jats:p> RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
source_id 49
title RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_unstemmed RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_full RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_fullStr RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_full_unstemmed RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_short RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_sort research advances on radiation transfer modeling and inversion for multi-scale land surface remote sensing
topic General Earth and Planetary Sciences
General Environmental Science
url http://dx.doi.org/10.5194/isprsarchives-xxxviii-8-w20-151-2011
publishDate 2012
physical 151-151
description <jats:p>Abstract. At first, research advances on radiation transfer modeling on multi-scale remote sensing data are presented: after a general overview of remote sensing radiation transfer modeling, several recent research advances are presented, including leaf spectrum model (dPROS-PECT), vegetation canopy BRDF models, directional thermal infrared emission models(TRGM, SLEC), rugged mountains area radiation models, and kernel driven models etc. Then, new methodologies on land surface parameters inversion based on multi-source remote sensing data are proposed. The land surface Albedo, leaf area index, temperature/emissivity, and surface net radiation etc. are taken as examples. A new synthetic land surface parameter quantitative remote sensing product generation system is designed and the software system prototype will be demonstrated. At last, multi-scale field experiment campaigns, such as the field campaigns in Gansu and Beijing, China will be introduced briefly. The ground based, tower based, and airborne multi-angular measurement system have been built to measure the directional reflectance, emission and scattering characteristics from visible, near infrared, thermal infrared and microwave bands for model validation and calibration. The remote sensing pixel scale "true value" measurement strategy have been designed to gain the ground "true value" of LST, ALBEDO, LAI, soil moisture and ET etc. at 1–km2 for remote sensing product validation. </jats:p>
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author Liu, Q.
author_facet Liu, Q., Liu, Q.
author_sort liu, q.
container_start_page 151
container_title The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
container_volume XXXVIII-8/W20
description <jats:p>Abstract. At first, research advances on radiation transfer modeling on multi-scale remote sensing data are presented: after a general overview of remote sensing radiation transfer modeling, several recent research advances are presented, including leaf spectrum model (dPROS-PECT), vegetation canopy BRDF models, directional thermal infrared emission models(TRGM, SLEC), rugged mountains area radiation models, and kernel driven models etc. Then, new methodologies on land surface parameters inversion based on multi-source remote sensing data are proposed. The land surface Albedo, leaf area index, temperature/emissivity, and surface net radiation etc. are taken as examples. A new synthetic land surface parameter quantitative remote sensing product generation system is designed and the software system prototype will be demonstrated. At last, multi-scale field experiment campaigns, such as the field campaigns in Gansu and Beijing, China will be introduced briefly. The ground based, tower based, and airborne multi-angular measurement system have been built to measure the directional reflectance, emission and scattering characteristics from visible, near infrared, thermal infrared and microwave bands for model validation and calibration. The remote sensing pixel scale "true value" measurement strategy have been designed to gain the ground "true value" of LST, ALBEDO, LAI, soil moisture and ET etc. at 1–km2 for remote sensing product validation. </jats:p>
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imprint_str_mv Copernicus GmbH, 2012
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spelling Liu, Q. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprsarchives-xxxviii-8-w20-151-2011 <jats:p>Abstract. At first, research advances on radiation transfer modeling on multi-scale remote sensing data are presented: after a general overview of remote sensing radiation transfer modeling, several recent research advances are presented, including leaf spectrum model (dPROS-PECT), vegetation canopy BRDF models, directional thermal infrared emission models(TRGM, SLEC), rugged mountains area radiation models, and kernel driven models etc. Then, new methodologies on land surface parameters inversion based on multi-source remote sensing data are proposed. The land surface Albedo, leaf area index, temperature/emissivity, and surface net radiation etc. are taken as examples. A new synthetic land surface parameter quantitative remote sensing product generation system is designed and the software system prototype will be demonstrated. At last, multi-scale field experiment campaigns, such as the field campaigns in Gansu and Beijing, China will be introduced briefly. The ground based, tower based, and airborne multi-angular measurement system have been built to measure the directional reflectance, emission and scattering characteristics from visible, near infrared, thermal infrared and microwave bands for model validation and calibration. The remote sensing pixel scale "true value" measurement strategy have been designed to gain the ground "true value" of LST, ALBEDO, LAI, soil moisture and ET etc. at 1–km2 for remote sensing product validation. </jats:p> RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spellingShingle Liu, Q., The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING, General Earth and Planetary Sciences, General Environmental Science
title RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_full RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_fullStr RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_full_unstemmed RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_short RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
title_sort research advances on radiation transfer modeling and inversion for multi-scale land surface remote sensing
title_unstemmed RESEARCH ADVANCES ON RADIATION TRANSFER MODELING AND INVERSION FOR MULTI-SCALE LAND SURFACE REMOTE SENSING
topic General Earth and Planetary Sciences, General Environmental Science
url http://dx.doi.org/10.5194/isprsarchives-xxxviii-8-w20-151-2011