Remote Sensing
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Vegetation structure and bird populations across the US Can you predict biodiversity abundance without fieldwork, sitting at your desk? Patrick Culbert can. Using satellite images and data from Breeding Bird Survey, Patrick estimates abundance of bird species across United States. |
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Always on the bright side of life: removing clouds and their shadows in satellite imagery Satellite imagery provides invaluable information regarding land cover features over time. However, since many satellite-based image sensors cannot see through clouds, imagery researchers need to screen cloudy pixels from cloud-free pixels in order to analyze land change through time. |
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Oases along the flyway: Identifying stopover sites for migratory birds in the southeastern U.S. How do you find stopover habitat of migrants moving under the cover of night? David La Puma uses weather radar to see in the dark and identify sites across the southeastern U.S. |
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Where do fires destroy homes in the United States? Rural housing development and fires: Understanding trends of housing loss to wildfires and rebuilding efforts throughout the United States. |
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How are birds breeding in New England affected by the weather? Do we know how climate change and extreme weather conditions affect wildlife in particular bird populations? |
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Monitoring of deforestation and forest degradation in Mexico Carlos Ramirez Reyes develops a way to monitor deforestation in Mexico using satellite images from 1990 to present. |
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Small-versus large-¬scale farming in Eastern Europe Using powerful remote sensing technologies, Patrick Culbert seeks to map the size of agricultural fields with an unprecedented degree of detail, over large areas. |
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When a tree falls in the woods, can a satellite image tell you why? All disturbances are not created equal. Matthias Baumann has been developing image-processing algorithms that distinguish between anthropogenic and natural disturbances in the temperate forest region of European Russia. |
