The SPARC campaign has been organized in coincidence of CHRIS/Proba multi-angular and hyperspectral acquisition over the agricultural test site of Barrax in Spain. Radiometric and biophysical vegetation parameters measurements have been carried out for different crops in both field and laboratory. . The aim of this preliminary study is to assess the capability to estimate Leaf Area Index (LAI) from CHRIS/Proba data by inverting the coupled radiative transfer models PROSPECT+SAILH. Two different approaches have been used to invert canopy reflectance observed in 5 directions and 62 spectral bands: Look Up Tables and Pest ASP Tool. Results show that the use of a priori knowledge is of great importance for the estimation of LAI. In this way we ...
The leaf area index (LAI) played a crucial role in ecological, hydrological, and climate models. The...
Reliable estimation of leaf chlorophyll-a and -b content (chl-a + b) at canopy scales is essential f...
Leaf area index (LAI) is a key variable for the understanding and modeling of several eco-physiologi...
The accurate retrieval of biophysical vegetation characteristics is required in a variety of applica...
AbstractThe leaf area index (LAI) is an important vegetation parameter, which is used widely in many...
Leaf area index (LAI) is a key variable for the understanding and modelling of several eco-physiolog...
In the context of the SPARC campaign, a total of 10 different view angle images are available from C...
Leaf area index (LAI) is a key variable for modeling energy and mass exchange between the land surfa...
The estimation of Leaf Area Index (LAI) is a key parameter controlling biophysical processes of the ...
The Leaf Area Index (LAI) is a key parameter controlling biophysical exchange processes in the veget...
The estimation of the LAI plays an important role in many vegetation related issues. In this study, ...
This work is aimed to demonstrate the feasibility of a methodology for retrieving bio-geophysical va...
This study compares maize leaf area index (LAI) retrieval methods based on radiative transfer models...
Leaf area index (LAI) is a key canopy descriptor that is used to determine foliage cover, and predic...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceVe...
The leaf area index (LAI) played a crucial role in ecological, hydrological, and climate models. The...
Reliable estimation of leaf chlorophyll-a and -b content (chl-a + b) at canopy scales is essential f...
Leaf area index (LAI) is a key variable for the understanding and modeling of several eco-physiologi...
The accurate retrieval of biophysical vegetation characteristics is required in a variety of applica...
AbstractThe leaf area index (LAI) is an important vegetation parameter, which is used widely in many...
Leaf area index (LAI) is a key variable for the understanding and modelling of several eco-physiolog...
In the context of the SPARC campaign, a total of 10 different view angle images are available from C...
Leaf area index (LAI) is a key variable for modeling energy and mass exchange between the land surfa...
The estimation of Leaf Area Index (LAI) is a key parameter controlling biophysical processes of the ...
The Leaf Area Index (LAI) is a key parameter controlling biophysical exchange processes in the veget...
The estimation of the LAI plays an important role in many vegetation related issues. In this study, ...
This work is aimed to demonstrate the feasibility of a methodology for retrieving bio-geophysical va...
This study compares maize leaf area index (LAI) retrieval methods based on radiative transfer models...
Leaf area index (LAI) is a key canopy descriptor that is used to determine foliage cover, and predic...
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOSInternational audienceVe...
The leaf area index (LAI) played a crucial role in ecological, hydrological, and climate models. The...
Reliable estimation of leaf chlorophyll-a and -b content (chl-a + b) at canopy scales is essential f...
Leaf area index (LAI) is a key variable for the understanding and modeling of several eco-physiologi...