RTM Surrogate Modeling in Optical Remote Sensing: A Review of Emulation for Vegetation and Atmosphere Applications

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Detaylı Bibliyografya
Yayımlandı:	Remote Sensing vol. 17, no. 21 (2025), p. 3618-3647
Yazar:	Verrelst Jochem
Diğer Yazarlar:	Morata Miguel, García-Soria, José Luis, Sun, Yilin, Qi Jianbo, Rivera-Caicedo, Juan Pablo
Baskı/Yayın Bilgisi:	MDPI AG
Konular:	Vegetation Benchmarks Principles Accuracy Radiative transfer Sensitivity analysis Physics Modelling Tradeoffs Aerosols Remote sensing Scene generation Machine learning Hypercubes Sampling Time series Realism Deep learning Radiation Learning algorithms Optical properties Simulation Atmosphere Computing costs Algorithms Chlorophyll Latin hypercube sampling
Online Erişim:	Citation/Abstract Full Text + Graphics Full Text - PDF
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