geo-darshan

Label unsupervised segmentation clusters (k-means over geospatial embeddings) into a land-cover/land-use hierarchy by looking at high-res imagery. Use when assigning semantic labels to cluster rasters, relabeling/auditing an existing land-cover map, or running a per-cluster vision-judgment pass over satellite crops. AOI-agnostic engine; pair with an AOI pack (e.g. cluster-labeling-auroville).

Auroville (Tamil Nadu, India) AOI pack for the cluster-labeling skill — paths, label hierarchy, crop visual signatures, geography priors, reference example crops, and the running corrections log. Use whenever labeling Auroville land-cover clusters / relabeling the Auroville land-use map. Load this together with the cluster-labeling engine skill.