Optical Remote Sensing in Persistently Cloudy Landscapes
This research focuses on methods to addresses the refractory problem of clouds in optical satellite imagery in persistently cloudy, complex tropical landscapes. Current studies are contributing to goals of the Landsat Science Team and the Landsat Data Continuity Mission (LDCM). The LDCM is a joint mission of the U.S. Geological Survey and the National Aeronautics and Space Administration. The study locations include Eleuthera island in The Bahamas, Trinidad and Tobago, Puerto Rico and the U.S. Virgin Islands, and other neotropical locations.
OpticalRemoteSensingInCloudyLandscapes.pdf
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| Eileen Helmer | |
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2010 Tropical dry forest height and foliage height profiles mapped with Landsat and ALI image time series Forest age, vertical structure, disturbance history, and species composition are related forest attributes that affect avian habitat. For studies of wintering habitat for the endangered Kirtlands Warbler, scientists from IITF and collaborators showed for the first time that forest vertical structure can be mapped with a time series of satellite imagery. ... |
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2007 A comparison of radiometric normalization methods when filling cloud gaps in Landsat imagery Mapping persistently cloudy tropical landscapes with optical satellite imagery usually requires assembling the clear imagery from several dates. This study compares methods for normalizing image data when filling cloud gaps in Landsat imagery with imagery from other dates. ... |
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2008 Free Access to Landsat Imagery http://www.sciencemag. ... |
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2010 Kirtland’s Warblers in anthropogenically disturbed early successional habitats on Eleuthera, The Bahamas To characterize the nonbreeding habitat of Kirtlands Warbler (Dendroica kirtlandii) on Eleuthera, The Bahamas, we quantified the habitat at sites where we captured the warblers and compared these traits with those of random sites and sites of tall coppice. On the basis of a chronosequence of satellite imagery, 153 capture sites ranged in age from 3 to 28 years after human disturbance, mean 14. ... |
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2010 Mapping tropical dry forest height, foliage height profiles and disturbance type and age with a time series of cloud-cleared Landsat image mosaics to characterize avian habitat Remote sensing of forest vertical structure is possible with lidar data, but lidar is not widely available. Here we map tropical dry forest height (RMSE=0. ... |
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2005 Cloud-Free Satellite Image Mosaics with Regression Trees and Histogram Matching Cloud-free optical satellite imagery simplifies remote sensing, but land-cover phenology limits existing solutions to persistent cloudiness to compositing temporally resolute, spatially coarser imagery. Here, a new strategy for developing cloud-free imagery at finer resolution permits simple automatic change detection. ... |
