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Estimation and Mapping of Forest Structure Parameters from Open Access Satellite Images: Development of a Generic Method with a Study Case on Coniferous Plantation.

, , , , , , , , , and . Remote Sensing, 11 (11): 1275 (2019)

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Estimation of Forest Parameters Combining High Resolution Radar and Optical Spaceborne Sensors., , and . IGARSS, page 6313-6319. IEEE, (2019)Estimation and Mapping of Forest Structure Parameters from Open Access Satellite Images: Development of a Generic Method with a Study Case on Coniferous Plantation., , , , , , , , , and . Remote Sensing, 11 (11): 1275 (2019)Estimation of Forest Parameters Combining Multisensor High Resolution Remote Sensing Data., , , , and . IGARSS, page 8801-8804. IEEE, (2018)Toward an Operational Monitoring of Oak Dieback With Multispectral Satellite Time Series: A Case Study in Centre-Val De Loire Region of France., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem., , , , and . Remote Sensing, 9 (10): 1071 (2017)High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach., , , , , , , , , and 4 other author(s). CoRR, (2022)Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series., , , , , and . Remote Sensing, 9 (1): 95 (2017)Effects of top compositeness, , , and . Phys. Rev., (1995)A Generic Algorithm to Estimate LAI, FAPAR and FCOVER Variables from SPOT4_HRVIR and Landsat Sensors: Evaluation of the Consistency and Comparison with Ground Measurements., , , , , , , and . Remote. Sens., 7 (11): 15494-15516 (2015)Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series., , , , , , , , , and . Remote. Sens., 7 (8): 10400-10424 (2015)