Articles | Volume 14, issue 8
https://doi.org/10.5194/hess-14-1499-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-14-1499-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
10 Aug 2010
Accurate LAI retrieval method based on PROBA/CHRIS data
W. J. Fan
Institute of Remote Sensing and GIS, Peking University, Beijing, China
X. R. Xu
Institute of Remote Sensing and GIS, Peking University, Beijing, China
X. C. Liu
International Institute for Earth System Science, Nanjing University, Nanjing, China
B. Y. Yan
Institute of Remote Sensing and GIS, Peking University, Beijing, China
Y. K. Cui
Institute of Remote Sensing and GIS, Peking University, Beijing, China
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Cited
18 citations as recorded by crossref.
- Prospective HyspIRI global observations of tidal wetlands K. Turpie et al. https://doi.org/10.1016/j.rse.2015.05.008
- A Prototype Network for Remote Sensing Validation in China M. Ma et al. https://doi.org/10.3390/rs70505187
- Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models H. Yuan et al. https://doi.org/10.3390/rs9040309
- A New FAPAR Analytical Model Based on the Law of Energy Conservation: A Case Study in China W. Fan et al. https://doi.org/10.1109/JSTARS.2014.2325673
- Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China J. Zhao et al. https://doi.org/10.3390/rs70606862
- The spatial scaling effect of the discrete-canopy effective leaf area index retrieved by remote sensing W. Fan et al. https://doi.org/10.1007/s11430-012-4554-5
- Estimating grassland LAI using the Random Forests approach and Landsat imagery in the meadow steppe of Hulunber, China Z. LI et al. https://doi.org/10.1016/S2095-3119(15)61303-X
- Estimation of forest LAI by inverting canopy reflectance models and multi-angle imagery X. Wang et al. https://doi.org/10.1080/10106049.2018.1452987
- Crop area and leaf area index simultaneous retrieval based on spatial scaling transformation W. Fan et al. https://doi.org/10.1007/s11430-010-4078-9
- Hyperspectral Reflectance Characteristics of Rice Canopies under Changes in Diffuse Radiation Fraction T. Zhang et al. https://doi.org/10.3390/rs14020285
- Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: a review of methods, sensors and study areas S. Hasti & M. Ghamary Asl https://doi.org/10.1080/01431161.2025.2555285
- Preface "Observing and modeling the catchment scale water cycle" X. Li et al. https://doi.org/10.5194/hess-15-597-2011
- Maize LAI Retrieval Using PointNet++ and Transfer Learning with Integrated 3D Radiative Transfer Modeling and LiDAR Point Clouds Q. Li et al. https://doi.org/10.3390/rs18101660
- Sensitivity analysis for leaf area index (LAI) estimation from CHRIS/PROBA data J. Cao et al. https://doi.org/10.1007/s11707-014-0432-0
- Scaling Transform Method for Remotely Sensed FAPAR Based on FAPAR-P Model . Lu Wang et al. https://doi.org/10.1109/LGRS.2014.2359051
- Estimating the crop leaf area index using hyperspectral remote sensing K. LIU et al. https://doi.org/10.1016/S2095-3119(15)61073-5
- Integration of Crop Growth Model and Random Forest for Winter Wheat Yield Estimation From UAV Hyperspectral Imagery S. Yang et al. https://doi.org/10.1109/JSTARS.2021.3089203
- Study of the Remote Sensing Model of FAPAR over Rugged Terrains P. Zhao et al. https://doi.org/10.3390/rs8040309
18 citations as recorded by crossref.
- Prospective HyspIRI global observations of tidal wetlands K. Turpie et al. https://doi.org/10.1016/j.rse.2015.05.008
- A Prototype Network for Remote Sensing Validation in China M. Ma et al. https://doi.org/10.3390/rs70505187
- Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models H. Yuan et al. https://doi.org/10.3390/rs9040309
- A New FAPAR Analytical Model Based on the Law of Energy Conservation: A Case Study in China W. Fan et al. https://doi.org/10.1109/JSTARS.2014.2325673
- Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China J. Zhao et al. https://doi.org/10.3390/rs70606862
- The spatial scaling effect of the discrete-canopy effective leaf area index retrieved by remote sensing W. Fan et al. https://doi.org/10.1007/s11430-012-4554-5
- Estimating grassland LAI using the Random Forests approach and Landsat imagery in the meadow steppe of Hulunber, China Z. LI et al. https://doi.org/10.1016/S2095-3119(15)61303-X
- Estimation of forest LAI by inverting canopy reflectance models and multi-angle imagery X. Wang et al. https://doi.org/10.1080/10106049.2018.1452987
- Crop area and leaf area index simultaneous retrieval based on spatial scaling transformation W. Fan et al. https://doi.org/10.1007/s11430-010-4078-9
- Hyperspectral Reflectance Characteristics of Rice Canopies under Changes in Diffuse Radiation Fraction T. Zhang et al. https://doi.org/10.3390/rs14020285
- Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: a review of methods, sensors and study areas S. Hasti & M. Ghamary Asl https://doi.org/10.1080/01431161.2025.2555285
- Preface "Observing and modeling the catchment scale water cycle" X. Li et al. https://doi.org/10.5194/hess-15-597-2011
- Maize LAI Retrieval Using PointNet++ and Transfer Learning with Integrated 3D Radiative Transfer Modeling and LiDAR Point Clouds Q. Li et al. https://doi.org/10.3390/rs18101660
- Sensitivity analysis for leaf area index (LAI) estimation from CHRIS/PROBA data J. Cao et al. https://doi.org/10.1007/s11707-014-0432-0
- Scaling Transform Method for Remotely Sensed FAPAR Based on FAPAR-P Model . Lu Wang et al. https://doi.org/10.1109/LGRS.2014.2359051
- Estimating the crop leaf area index using hyperspectral remote sensing K. LIU et al. https://doi.org/10.1016/S2095-3119(15)61073-5
- Integration of Crop Growth Model and Random Forest for Winter Wheat Yield Estimation From UAV Hyperspectral Imagery S. Yang et al. https://doi.org/10.1109/JSTARS.2021.3089203
- Study of the Remote Sensing Model of FAPAR over Rugged Terrains P. Zhao et al. https://doi.org/10.3390/rs8040309
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