A novel hybrid machine learning phasor-based approach to retrieve a full set of solar-induced fluorescence metrics and biophysical parameters

Author:

Scodellaro R.,Cesana I.,D'Alfonso L.,Bouzin M.,Collini M.,Chirico G.,Colombo R.,Miglietta F.,Celesti M.,Schuettemeyer D.,Cogliati S.,Sironi L.

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference72 articles.

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4. MODTRAN 5.2.1 User’s Manual. 4 Fourth Ave., Burlington, MA 01803–3304, Air Force Research Laboratory, Space Vehicles Directorate, Air Force Materiel Command, Hanscom AFB, MA 01731–3010: Spectral Sciences, Inc;Berk,2011

5. Quantifying leaf chlorophyll concentration of Sorghum from hyperspectral data using derivative calculus and machine learning;Bhadra;Remote Sens.,2020

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