Forest Cover Type Dataset - Kaggle Tree types found in the Roosevelt National Forest in Colorado Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic Learn more OK, Got it Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side
Global Forest Watch Open Data Portal Discover, analyze and download data from Global Forest Watch Open Data Portal Download in CSV, KML, Zip, GeoJSON, GeoTIFF or PNG Find API links for GeoServices, WMS, and WFS Analyze with charts and thematic maps Take the next step and create storymaps and webmaps
GitHub - blutjens awesome-forests: A curated list of ground-truth . . . Awesome-forests is a curated list of ground-truth validation in situ forest datasets for the forest-interested machine learning community The list targets data-based biodiversity, carbon, wildfire, ecosystem service, you name it! analysis
Forest area (1990-2020 1000 ha) - Datasets - FAO catalog The Global Forest Resources Assessments (FRA) are now produced every five years in an attempt to provide a consistent approach to describing the world\u2019s forests and how they are changing The Assessment is based on two primary sources of data: Country Reports prepared by National Correspondents and remote sensing that is conducted by FAO
UCI Machine Learning Repository Classification of pixels into 7 forest cover types based on attributes such as elevation, aspect, slope, hillshade, soil-type, and more Predicting forest cover type from cartographic variables only (no remotely sensed data)
IGNF PureForest · Datasets at Hugging Face This dataset includes 135,569 patches, each measuring 50 m x 50 m, covering a cumulative exploitable area of 339 km² Each patch represents a monospecific forest, annotated with a single tree species label
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