Development and assessment of Leaf Area Index of Russia's vegetation cover based on multi-angular observations by KMSS (Meteor-M) and neural network inversion of PROSAIL model

Development and assessment of Leaf Area Index of Russia's vegetation cover based on multi-angular observations by KMSS (Meteor-M) and neural network inversion of PROSAIL model

The paper describes, for the first time, a methodology for Leaf Area Index (LAI) retrieval using a remote sensing device KMSS mounted onboard the Russian satellite Meteor-M with a 60-m spatial resolution. The method is based on the inversion of a PROSAIL radiative transfer model which ingests bounda...

Full description

Saved in:
Bibliographic Details
Main Authors: D.E. Plotnikov, Z. Zhou, P.A. Kolbudaev, E.A. Loupian, A.M. Matveev, M.V. Zimin, B.S. Zhukov, T.V. Kondratieva, S.V. Lebedev
Format: Article
Language:English
Published: Samara National Research University 2025-06-01
Series:Компьютерная оптика
Subjects:
lai
kmss
prosail
meteor-m
multi-angular observations
neural network inversion
orthogonal plan
vegetation cover
biophysical parameters
Online Access:https://computeroptics.ru/eng/KO/Annot/KO49-3/490316e.html
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://computeroptics.ru/eng/KO/Annot/KO49-3/490316e.html

Similar Items