Assessing vegetation traits estimates accuracies from the future SBG and biodiversity hyperspectral missions over two Mediterranean Forests-Reference-Cited by-同舟云学术

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Assessing vegetation traits estimates accuracies from the future SBG and biodiversity hyperspectral missions over two Mediterranean Forests

Published:2022-05-19 Issue:10 Volume:43 Page:3537-3562
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Miraglio Thomas¹^ORCID,Adeline Karine¹^ORCID,Huesca Margarita²^ORCID,Ustin Susan³^ORCID,Briottet Xavier¹^ORCID

Affiliation:

1. ONERA/DOTA, Université Fédérale de Toulouse, Toulouse, France

2. Science and Earth Observation, University of TwenteNatural Resources Department, Faculty of Geo-information, Enschede, The Netherlands

3. John Muir Institute of the Environment, University of California, Davis, CA, USA

Funder

the Office Nationale d’Études et de Recherches Aérospatiales

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2093143

Reference68 articles.

1. Machine learning methods’ performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest

2. Quantifying forest canopy traits: Imaging spectroscopy versus field survey

3. Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression

4. Sensitivity studies on the effect of surface soil moisture on canopy reflectance using the radiative transfer model GeoSAIL

5. The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches

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3. Spatial Resolution Enhancement of Vegetation Indexes via Fusion of Hyperspectral and Multispectral Satellite Data;Remote Sensing;2024-03-01

4. Estimation of Oak Leaf Functional Traits for California Woodland Savannas and Mixed Forests: Comparison between Statistical, Physical, and Hybrid Methods Using Spectroscopy;Remote Sensing;2023-12-20

5. Adequacy of Mediterranean forest simulations from DART radiative transfer model and UAV laser scanning data to hyperspectral images;Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV;2023-10-17

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