J. Gastellu-etchegorry | Université Paul Sabatier de Toulouse (original) (raw)
Papers by J. Gastellu-etchegorry
Remote Sensing of Environment, 2008
HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Agricultural and Forest Meteorology, 2009
Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 2010
Tropical forests are complex ecosystems where the potential of remote sensing has not yet been fu... more Tropical forests are complex ecosystems where the potential of remote sensing has not yet been fully realized. The increasing availability of satellite metric imagery along with canopy altimetry from airborne LiDAR open new prospects to detect individual trees. For this objective, we optimized, calibrated and applied a model based on marked point processes to detect trees in high biomass mangroves of French Guiana by considering a set of 1m pixel images including 1) panchromatic images from the IKONOS sensor 2) LiDAR-derived canopy 2D altimetry and 3) reflectance panchromatic images simulated by the DART-model. The relevance of detection is then discussed considering: (i) the agreement in space of detected crown centers locations with known true locations for the DART images and also the detection agreement for each pair of IKONOS and LiDAR images, and (ii) the comparison between the frequency distributions of the diameters of the detected crowns and of the tree trunks measured in the field. Both distributions are expected to be related due to the allometry relationships between trunk and crown. Results are encouraging provided that crown sizes sufficiently large compared to 1m pixels.
IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development
Survey of tropical forest evolution and functioning with remote sensing is hampered by the variab... more Survey of tropical forest evolution and functioning with remote sensing is hampered by the variability of their BRDF (bi-directional reflectance distribution function); e.g. automatic classifications may be totally erroneous if view and illumination conditions are not taken into account. The authors used a new radiative transfer model (DART, Discrete Anisotropic Radiative Transfer) to analyze BRDF behaviour of a tropical forest
Journal of Geophysical Research, 2004
Remote Sensing of Environment, 1996
The DART (discrete anisotropic radiative transfer) model simulates radiative transfer in heteroge... more The DART (discrete anisotropic radiative transfer) model simulates radiative transfer in heterogeneous 3-D scenes that may comprise different landscape features; i.e., leaves, grass, trunks, water, soil. The scene is divided into a rectangular cell matrix, i.e., building block for simulating larger scenes. Cells are parallelipipedic. Their optical properties are represented by individual scattering phase functions that are directly input into the model or are computed with optical and structural characteristics of elements within the cell. Radiation scattering and propagation are simulated with the exact kernel and discrete ordinate approaches; any set of discrete direction can be selected. In addition to topography and hot spot, leaf specular and first-order polarization mechanisms are modeled. Two major iterative steps are distinguished: 1) Cell illumination with direct sun radiation: Within cell multiple scattering is accurately simulated. 2) Interception and scattering of previously scattered radiation: Atmospheric radiation, possibly anisotropic, is input at this stage. Multiple scattering is stored as spherical harmonics expansions, for reducing computer memory constraints. The model iterates on step 2, for all cells, and stops with the energetic equilibrium. Two simple accelerating techniques can be used: 1) Gauss Seidel method, i.e., simulation of scattering with radiation already scattered at the iteration stage, and (2) decrease of the spherical harmonics expansion order with the iteration order. Moreover, convergence towards the energetic equilibrium is accelerated with an exponential fitting technique. This model predicts the bidirectional reflectance distribution function of 3-19 canopies. Radiation components associated with leaf volume and surface mechanisms are distin
Indonesian Journal of Geography, 1987
European Journal of Remote Sensing
The derivation of the radiative budget of urban environments has gained a high interest in the re... more The derivation of the radiative budget of urban environments has gained a high interest in the recent years as an essential part of the global energy budget of big cities. Urban 3D (three-dimensional) heterogeneity hampers its assessment with in-situ measurements, which stresses the interest of Earth Observation (EO) satellites. Improvements in remote-sensing technology and 3D urban databases open the way to new deterministic approaches. This paper presents a new method that derives maps of urban shortwave exitance, albedo and radiative budget Q SW * from EO satellite images (e.g. Sentinel 2, Landsat-8), using the discrete anisotropic radiative transfer model. In a preliminary step, it derives maps of urban material optical properties from an EO satellite image, at the spatial resolution of this EO image. The method is applied to the city of Basel, Switzerland, in the frame of the European Community H2020 URBANFLUXES (www.urbanfluxes.eu) project which aims at improving our knowledge on anthropogenic heat fluxes in European cities. Results are very encouraging. Indeed, urban Q SW * derived from 234 EO satellite images, ranging from 200 to 800 W/m 2 through the year, is very close to in-situ measured Q SW *: ≈15 W/m 2 temporal root mean square error (i.e. 2.7% mean relative difference) relative to measurements.
Forests
Advances in high-performance computer resources and exploitation of high-density terrestrial lase... more Advances in high-performance computer resources and exploitation of high-density terrestrial laser scanning (TLS) data allow for reconstruction of close-to-reality 3D forest scenes for use in canopy radiative transfer models. Consequently, our main objectives were (i) to reconstruct 3D representation of Norway spruce (Picea abies) trees by deriving distribution of woody and foliage elements from TLS and field structure data and (ii) to use the reconstructed 3D spruce representations for evaluation of the effects of canopy structure on forest reflectance simulated in the Discrete Anisotropic Radiative Transfer (DART) model. Data for this study were combined from two spruce research sites located in the mountainous areas of the Czech Republic. The canopy structure effects on simulated top-of-canopy reflectance were evaluated for four scenarios (10 × 10 m scenes with 10 trees), ranging from geometrically simple to highly detailed architectures. First scenario A used predefined simple t...
Remote Sensing of Environment
If citing, it is advised that you check and use the publisher's definitive version for pagination... more If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections.
Remote Sensing of Environment
Biogeosciences, 2016
The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light ... more The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light environments for canopy and understory trees. Understanding diurnal and seasonal changes in light availability is critical for interpreting measurements of net ecosystem exchange and improving ecosystem models. Here, we used the Discrete Anisotropic Radiative Transfer (DART) model to simulate leaf absorption of photosynthetically active radiation (<i>l</i>APAR) for an Amazon forest. The 3-D model scene was developed from airborne lidar data, and local measurements of leaf reflectance, aerosols, and PAR were used to model <i>l</i>APAR under direct and diffuse illumination conditions. Simulated <i>l</i>APAR under clear-sky and cloudy conditions was corrected for light saturation effects to estimate light utilization, the fraction of <i>l</i>APAR available for photosynthesis. Although the fraction of incoming PAR absorbed by leaves was consist...
1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 1995
Information extraction from remote sensing data with the help of physical modeling requires an ap... more Information extraction from remote sensing data with the help of physical modeling requires an approach that retains the 3D complexity of covers while dealing with a limited data volume, i.e. the scene is made of a small number of complex elements. Therefore, the authors developed a methodology that couples a high and a medium reflectance models: output (i.e. mean transmittance
IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium, 1996
This work evaluates the potential of remote sensing visible and near infrared spectrometry for st... more This work evaluates the potential of remote sensing visible and near infrared spectrometry for studying the dynamics of a temperate deciduous forest. It is conducted with the airborne Reflective Optics Spectrometric Imaging System (ROSIS) in the frame of the European Multisensors Airborne Campaign (EMAC-94). A modeling approach, i.e. coupled canopy and leaf reflectance models, is used for assessing the sensitivity
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
In an attempt to provide more accurate estimates of sensible and latent heat fluxes and surface t... more In an attempt to provide more accurate estimates of sensible and latent heat fluxes and surface temperature, a 3- dimensional model is being developed. The originality of this model is to rely on a realistic description of the studied landscape: architecture, temperature, optical properties. It combines 3 components: (1) a radiative component managed by the 3-D radiative transfer DART model
IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium, 1996
This paper presents a quantitative analysis of the sensitivity of textural information of high re... more This paper presents a quantitative analysis of the sensitivity of textural information of high resolution remote sensing images of a forest plantation (Les Landes, France) with a number of biophysical characteristics: tree cover, crown diameter, distance between rows and leaf area index (LAI). The influence of spatial resolution and viewing and illumination configurations are also assessed. The work is conducted
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium, 1992
Under the tropics, due to high cloud cover, vegetation monitoring can only be achieved by using b... more Under the tropics, due to high cloud cover, vegetation monitoring can only be achieved by using both visible and microwave data. In the present study, SIR-B and SPOT data acquired over central Sumatra are used in a supervised classifrcation of vegetation. Assessment of SAR-data potentialities is carried on by using 1) SIR-B image alone, 2) combined SIR-B and SPOT data.
12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 1989
Remote Sensing of Environment, 2000
Imaging spectroscopy from space is a potentially powerful tool for assessing vegetation chemistry... more Imaging spectroscopy from space is a potentially powerful tool for assessing vegetation chemistry with approaches that rely either on empirical relationships or on the inversion of reflectance models. However, this assessment can be erroneous if the 3-D spatial distribution of the vegetation is neglected. Sophisticated radiative transfer models are often required to account for the 3-D canopy architecture. Due to
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium, 1992
Abstract This paper evaluates state-of-the-art parametric and nonparametric approaches for the es... more Abstract This paper evaluates state-of-the-art parametric and nonparametric approaches for the estimation of leaf chlorophyll content (Chl)(Chl) (Chl), leaf area index, and fractional vegetation cover from space. The parametric approach involves comparison of established and ...
Remote Sensing of Environment, 2008
HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Agricultural and Forest Meteorology, 2009
Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 2010
Tropical forests are complex ecosystems where the potential of remote sensing has not yet been fu... more Tropical forests are complex ecosystems where the potential of remote sensing has not yet been fully realized. The increasing availability of satellite metric imagery along with canopy altimetry from airborne LiDAR open new prospects to detect individual trees. For this objective, we optimized, calibrated and applied a model based on marked point processes to detect trees in high biomass mangroves of French Guiana by considering a set of 1m pixel images including 1) panchromatic images from the IKONOS sensor 2) LiDAR-derived canopy 2D altimetry and 3) reflectance panchromatic images simulated by the DART-model. The relevance of detection is then discussed considering: (i) the agreement in space of detected crown centers locations with known true locations for the DART images and also the detection agreement for each pair of IKONOS and LiDAR images, and (ii) the comparison between the frequency distributions of the diameters of the detected crowns and of the tree trunks measured in the field. Both distributions are expected to be related due to the allometry relationships between trunk and crown. Results are encouraging provided that crown sizes sufficiently large compared to 1m pixels.
IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development
Survey of tropical forest evolution and functioning with remote sensing is hampered by the variab... more Survey of tropical forest evolution and functioning with remote sensing is hampered by the variability of their BRDF (bi-directional reflectance distribution function); e.g. automatic classifications may be totally erroneous if view and illumination conditions are not taken into account. The authors used a new radiative transfer model (DART, Discrete Anisotropic Radiative Transfer) to analyze BRDF behaviour of a tropical forest
Journal of Geophysical Research, 2004
Remote Sensing of Environment, 1996
The DART (discrete anisotropic radiative transfer) model simulates radiative transfer in heteroge... more The DART (discrete anisotropic radiative transfer) model simulates radiative transfer in heterogeneous 3-D scenes that may comprise different landscape features; i.e., leaves, grass, trunks, water, soil. The scene is divided into a rectangular cell matrix, i.e., building block for simulating larger scenes. Cells are parallelipipedic. Their optical properties are represented by individual scattering phase functions that are directly input into the model or are computed with optical and structural characteristics of elements within the cell. Radiation scattering and propagation are simulated with the exact kernel and discrete ordinate approaches; any set of discrete direction can be selected. In addition to topography and hot spot, leaf specular and first-order polarization mechanisms are modeled. Two major iterative steps are distinguished: 1) Cell illumination with direct sun radiation: Within cell multiple scattering is accurately simulated. 2) Interception and scattering of previously scattered radiation: Atmospheric radiation, possibly anisotropic, is input at this stage. Multiple scattering is stored as spherical harmonics expansions, for reducing computer memory constraints. The model iterates on step 2, for all cells, and stops with the energetic equilibrium. Two simple accelerating techniques can be used: 1) Gauss Seidel method, i.e., simulation of scattering with radiation already scattered at the iteration stage, and (2) decrease of the spherical harmonics expansion order with the iteration order. Moreover, convergence towards the energetic equilibrium is accelerated with an exponential fitting technique. This model predicts the bidirectional reflectance distribution function of 3-19 canopies. Radiation components associated with leaf volume and surface mechanisms are distin
Indonesian Journal of Geography, 1987
European Journal of Remote Sensing
The derivation of the radiative budget of urban environments has gained a high interest in the re... more The derivation of the radiative budget of urban environments has gained a high interest in the recent years as an essential part of the global energy budget of big cities. Urban 3D (three-dimensional) heterogeneity hampers its assessment with in-situ measurements, which stresses the interest of Earth Observation (EO) satellites. Improvements in remote-sensing technology and 3D urban databases open the way to new deterministic approaches. This paper presents a new method that derives maps of urban shortwave exitance, albedo and radiative budget Q SW * from EO satellite images (e.g. Sentinel 2, Landsat-8), using the discrete anisotropic radiative transfer model. In a preliminary step, it derives maps of urban material optical properties from an EO satellite image, at the spatial resolution of this EO image. The method is applied to the city of Basel, Switzerland, in the frame of the European Community H2020 URBANFLUXES (www.urbanfluxes.eu) project which aims at improving our knowledge on anthropogenic heat fluxes in European cities. Results are very encouraging. Indeed, urban Q SW * derived from 234 EO satellite images, ranging from 200 to 800 W/m 2 through the year, is very close to in-situ measured Q SW *: ≈15 W/m 2 temporal root mean square error (i.e. 2.7% mean relative difference) relative to measurements.
Forests
Advances in high-performance computer resources and exploitation of high-density terrestrial lase... more Advances in high-performance computer resources and exploitation of high-density terrestrial laser scanning (TLS) data allow for reconstruction of close-to-reality 3D forest scenes for use in canopy radiative transfer models. Consequently, our main objectives were (i) to reconstruct 3D representation of Norway spruce (Picea abies) trees by deriving distribution of woody and foliage elements from TLS and field structure data and (ii) to use the reconstructed 3D spruce representations for evaluation of the effects of canopy structure on forest reflectance simulated in the Discrete Anisotropic Radiative Transfer (DART) model. Data for this study were combined from two spruce research sites located in the mountainous areas of the Czech Republic. The canopy structure effects on simulated top-of-canopy reflectance were evaluated for four scenarios (10 × 10 m scenes with 10 trees), ranging from geometrically simple to highly detailed architectures. First scenario A used predefined simple t...
Remote Sensing of Environment
If citing, it is advised that you check and use the publisher's definitive version for pagination... more If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections.
Remote Sensing of Environment
Biogeosciences, 2016
The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light ... more The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light environments for canopy and understory trees. Understanding diurnal and seasonal changes in light availability is critical for interpreting measurements of net ecosystem exchange and improving ecosystem models. Here, we used the Discrete Anisotropic Radiative Transfer (DART) model to simulate leaf absorption of photosynthetically active radiation (<i>l</i>APAR) for an Amazon forest. The 3-D model scene was developed from airborne lidar data, and local measurements of leaf reflectance, aerosols, and PAR were used to model <i>l</i>APAR under direct and diffuse illumination conditions. Simulated <i>l</i>APAR under clear-sky and cloudy conditions was corrected for light saturation effects to estimate light utilization, the fraction of <i>l</i>APAR available for photosynthesis. Although the fraction of incoming PAR absorbed by leaves was consist...
1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 1995
Information extraction from remote sensing data with the help of physical modeling requires an ap... more Information extraction from remote sensing data with the help of physical modeling requires an approach that retains the 3D complexity of covers while dealing with a limited data volume, i.e. the scene is made of a small number of complex elements. Therefore, the authors developed a methodology that couples a high and a medium reflectance models: output (i.e. mean transmittance
IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium, 1996
This work evaluates the potential of remote sensing visible and near infrared spectrometry for st... more This work evaluates the potential of remote sensing visible and near infrared spectrometry for studying the dynamics of a temperate deciduous forest. It is conducted with the airborne Reflective Optics Spectrometric Imaging System (ROSIS) in the frame of the European Multisensors Airborne Campaign (EMAC-94). A modeling approach, i.e. coupled canopy and leaf reflectance models, is used for assessing the sensitivity
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
In an attempt to provide more accurate estimates of sensible and latent heat fluxes and surface t... more In an attempt to provide more accurate estimates of sensible and latent heat fluxes and surface temperature, a 3- dimensional model is being developed. The originality of this model is to rely on a realistic description of the studied landscape: architecture, temperature, optical properties. It combines 3 components: (1) a radiative component managed by the 3-D radiative transfer DART model
IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium, 1996
This paper presents a quantitative analysis of the sensitivity of textural information of high re... more This paper presents a quantitative analysis of the sensitivity of textural information of high resolution remote sensing images of a forest plantation (Les Landes, France) with a number of biophysical characteristics: tree cover, crown diameter, distance between rows and leaf area index (LAI). The influence of spatial resolution and viewing and illumination configurations are also assessed. The work is conducted
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium, 1992
Under the tropics, due to high cloud cover, vegetation monitoring can only be achieved by using b... more Under the tropics, due to high cloud cover, vegetation monitoring can only be achieved by using both visible and microwave data. In the present study, SIR-B and SPOT data acquired over central Sumatra are used in a supervised classifrcation of vegetation. Assessment of SAR-data potentialities is carried on by using 1) SIR-B image alone, 2) combined SIR-B and SPOT data.
12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 1989
Remote Sensing of Environment, 2000
Imaging spectroscopy from space is a potentially powerful tool for assessing vegetation chemistry... more Imaging spectroscopy from space is a potentially powerful tool for assessing vegetation chemistry with approaches that rely either on empirical relationships or on the inversion of reflectance models. However, this assessment can be erroneous if the 3-D spatial distribution of the vegetation is neglected. Sophisticated radiative transfer models are often required to account for the 3-D canopy architecture. Due to
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium, 1992
Abstract This paper evaluates state-of-the-art parametric and nonparametric approaches for the es... more Abstract This paper evaluates state-of-the-art parametric and nonparametric approaches for the estimation of leaf chlorophyll content (Chl)(Chl) (Chl), leaf area index, and fractional vegetation cover from space. The parametric approach involves comparison of established and ...