Remote Sensing Data Analysis in R 🛰
[RSE 2022] Cross-sensor domain adaptation for high-spatial resolution urban land-cover mapping: from airborne to spaceborne imagery
An implementation of Deeplabv3plus in TensorFlow2 for semantic land cover segmentation
R package to support Remote Sensing oriented field work
32 satellite imagery maps of Sri Lanka from 2017-2024, ranging from normal RGB, to high contrast versions, to gridded land cover / land use mapped by our in-house machine learning models.
Land Cover Prediction from Satellite Imagery Using Machine Learning Techniques
Ressource pédagogique : Télédétection spatiale sur logiciel libre
R package to support land cover classification and water management in the Central Asia Basin (SAB)
Detecting and visualizing land cover change using ArcGIS Pro in the Brazil state Rondonia between year 2020 and 1992.
Harmonize classification raster files using Latent Dirichlet Allocation
Automating Land Use and Land Cover Mapping Using Computer Vision and Satellite Imagery, Cameroon
A land use and land cover map of New York City using QGIS.
Classification and features importance evaluation based on random forests in the context of the land cover mapping problem
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