Stage 1 Validation of Plant Area Index From the Global Ecosystem Dynamics Investigation-Reference-Cited by-同舟云学术

Stage 1 Validation of Plant Area Index From the Global Ecosystem Dynamics Investigation

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Brown Luke A.¹^ORCID,Morris Harry²^ORCID,Meier Courtney³^ORCID,Knohl Alexander⁴^ORCID,Lanconelli Christian⁵^ORCID,Gobron Nadine⁶^ORCID,Dash Jadunandan⁷^ORCID,Danson F. Mark¹^ORCID

Affiliation:

1. School of Science, Engineering and Environment, University of Salford, Manchester, U.K.

2. Earth Observation, Climate and Optical Group, National Physical Laboratory, Teddington, U.K.

3. National Ecological Observatory Network, Battelle, Boulder, CO, USA

4. Department of Bioclimatology, University of Göttingen, Göttingen, Germany

5. UniSystems, Milan, Italy

6. European Commission Joint Research Centre, Ispra, Italy

7. School of Geography and Environmental Science, University of Southampton, Southampton, Highfield, U.K.

Funder

European Space Agency through the Living Planet Fellowship

European Commission Joint Research Centre through Ground Based Observations for Validation (GBOV), part of the Global Component of the European Union's Copernicus Land Monitoring Service

National Science Foundation through the National Ecological Observatory Network (NEON) Program

National Science Foundation through the NEON Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

https://ieeexplore.ieee.org/ielam/8859/10034981/10264193-aam.pdf

Reference36 articles.

1. An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications

2. The Australian SuperSite Network: A continental, long-term terrestrial ecosystem observatory

3. Climate Data Records of Vegetation Variables from Geostationary SEVIRI/MSG Data: Products, Algorithms and Applications

4. Correcting Crown-Level Clumping Effect for Improving Leaf Area Index Retrieval From Large-Footprint LiDAR: A Study Based on the Simulated Waveform and GLAS Data

5. Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with CHRIS/PROBA observations

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