{
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"page_type": "Visualization",
"title": "Using NASA Data to Monitor Chimpanzee Habitat Suitability in Africa",
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"employer": "SSAI"
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"description": "Major biodiversity loss as a result of land-use and land-cover change threatens populations of humans’ closest living relative, the chimpanzee. Continuous monitoring of chimpanzee habitats is necessary for the species’ conservation and one way to do that is through habitat suitability models (HSMs). HSMs use statistical and machine learning to predict the suitability of a location for a species based on environmental descriptors. The Jane Goodall Institute (JGI) uses NASA satellite data to create such models. \r
\r
The maps on this page showcase some of the environmental model inputs derived from Landsat imagery and the resulting habitat suitability maps for a section in Uganda and the broader habitat range in Africa. The model inputs shown on this page are 1) tree height, 2) forest loss, 3) tree cover, 4) forest depth, 5) Landsat ETM+ band four, 6) Landsat ETM+ band five, 7) Landsat ETM+ band seven, and 7) normalized difference ratio of band four/band seven.
More information about these HSMs can be found in this paper.
Habitat Suitability Maps",
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Suitability Model Inputs",
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