Spectral recovery analysis for forested ecosystems in Python. Part of the PEOPLE-ER project.
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Oct 1, 2024 - Python
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people-er
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The PEOPLE-ER Wetland and Wetness Trends tool provides a flexible, powerful set of EO data analytics tools to support wetland ER assessment. The tool provides methods for high-resolution satellite EO data time series analysis to enable monitoring of surface water dynamics and wetness trends in natural to heavily modified wetland ecosystems.
tutorial
radar
jupyter-notebook
python3
sentinel
remote-sensing
esa
wetlands
sentinel-1
wetland-condition-science
ecosystem-recovery
people-er
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Apr 16, 2024
The k-NN tool is to provide a generic tool to conduct k Nearest Neighbour (k-NN) prediction of continuous forest target variables of interest. In the context of Ecosystem Restoration monitoring, the tool allows wall-to-wall propagation of the variables of interest using field reference data and provided EO datasets. Part of the PEOPLE-ER project.
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Updated
Apr 16, 2024
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