fordead: a python package for vegetation anomalies detection from SENTINEL-2 images
fordead: a python package for vegetation anomalies detection from SENTINEL-2 images
The fordead package was developed for the detection of vegetation anomalies from SENTINEL-2 time series. It provides monitoring tools to address the bark beetle health crisis on spruce trees in France. It includes several tools that make use of SENTINEL-2 satellite data easier, and allow potential anomaly detection in other contexts. The proposed method takes advantage of complete SENTINEL-2 time series, from the launch of the first satellite in 2015. It detects anomalies at the pixel level in order to analyze archive data or to carry out continuous monitoring. The detections are then updated for each new SENTINEL-2 acquisition.
Remote Sensing, Vegetation, Monitoring, Anomaly Detection, Time Series, Sentinel-2, Bark Bettle, Python
Remote Sensing, Vegetation, Monitoring, Anomaly Detection, Time Series, Sentinel-2, Bark Bettle, Python
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