Estimating leaf mass per area with leaf radiative transfer model-Reference-Cited by-同舟云学术

Estimating leaf mass per area with leaf radiative transfer model

Published:2023-03 Issue: Volume:286 Page:113444
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Shi Hanyu^ORCID,Jiang Jingyi,Jacquemoud Stéphane,Xiao Zhiqiang,Ma Mingguo

Funder

U.S. Geological Survey

National Natural Science Foundation of China

State Key Laboratory of Remote Sensing Science

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference18 articles.

1. Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest;Ali;Int. J. Appl. Earth Obs. Geoinf.,2016

2. PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents;Féret;Remote Sens. Environ.,2021

3. PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments;Féret;Remote Sens. Environ.,2008

4. PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle;Féret;Remote Sens. Environ.,2017

5. Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning;Féret;Remote Sens. Environ.,2019

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