Weakly supervised deep learning for 1m wetland mapping using multi-temporal NAIP imagery and LiDAR in the Prairie Pothole Region. Built on the geoai open-source package.
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Updated
Jul 27, 2026 - Python
Weakly supervised deep learning for 1m wetland mapping using multi-temporal NAIP imagery and LiDAR in the Prairie Pothole Region. Built on the geoai open-source package.
Remote sensing and machine learning framework for wetland vegetation mapping and characterization using Sentinel-2 and UAV imagery.
GRASS GIS shell scripts for maximum-likelihood classification of Landsat 8 OLI/TIRS imagery (2015, 2023) mapping wetlands of Kenya (i.cluster, i.maxlik, r.kappa). Figures for Lemenkova, Transylv. Rev. Syst. Ecol. Res. 2023, 25(2):1-18.
A QGIS plugin for wetland mapping
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