A parametric approach to unmixing remote sensing crop growth signatures

DOI10.1007/s13253-019-00368-0zbMath1426.62351OpenAlexW2957635139MaRDI QIDQ2273004

Zhengyuan Zhu, Colin Lewis-Beck, Jason Patton, Jonathan Hobbs, Brian Hornbuckle, Joon Jin Song, Anirban Mondal

Publication date: 18 September 2019

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-019-00368-0

zbMATH Keywords

Bayesian estimationremote sensingmaizeunmixingSMOS

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Guest editors' introduction to the special issue on ``Climate and the Earth system

Uses Software

• R
• CODA
• RStan
• rstan

Cites Work

• Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery

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