Propagating Sentinel-2 Top-of-Atmosphere Radiometric Uncertainty Into Land Surface Phenology Metrics Using a Monte Carlo Framework-Reference-Cited by-同舟云学术

Propagating Sentinel-2 Top-of-Atmosphere Radiometric Uncertainty Into Land Surface Phenology Metrics Using a Monte Carlo Framework

Published:2023 Issue: Volume:16 Page:8632-8654
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Graf Lukas Valentin¹^ORCID,Gorroño Javier²^ORCID,Hueni Andreas³^ORCID,Walter Achim¹^ORCID,Aasen Helge¹^ORCID

Affiliation:

1. Crop Science Group, Institute of Agricultural Science, ETH Zürich, Zürich, Switzerland

2. Research Institute of Water and Environmental Engineering, Universitat Politècnica de València, València, Spain

3. Remote Sensing Laboratories, Department of Geography, University of Zürich, Zürich, Switzerland

Funder

European Cooperation in Science and Technology

COST Action

Optical Synergies for Spatiotemporal Sensing of Scalable Ecophysiological Traits

Swiss Science Foundation

European Space Agency Living Planet Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference74 articles.

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