Land-use/Land-cover (LULC) maps contextualize and quantify the impacts of earth processes and human activity on the environment. Organizations around the world are now using these tools to inform ...
Flowchart of the production of the hybrid land cover map (HYBMAP). Step 1, calculate the land cover proportion of each set of data in each 30″ × 30″ grid; step 2, build the land cover transformation ...
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Machine learning techniques reveal a high-precision land cover map for Siberia, enhancing climatic predictions
Siberia, a province located in Russia, is a significant geographical region playing a crucial role in the world's carbon cycle. With its vast forests, wetlands, and permafrost regions (permanently ...
Land Use/Land Cover (LULC) maps are an increasingly important tool for decision-makers at local, regional, and national government levels around the world. These maps help inform policy and land ...
Researchers use advanced machine learning techniques and multiple global land cover datasets to develop a high-precision land cover map of Siberia. Siberia, a province located in Russia, is a ...
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