Subject: "algorithms" / Journal: Remote sensing of environment / Subject: 3 selected / Text Availability: Full Text

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Author:: Giglio, Louis; Loboda, Tatiana; Roy, David P.; Quayle, Brad; Justice, Christopher O.
Source:: Remote sensing of environment 2009 v.113 no.2 pp. 408
Subject:: algorithms, etc ; ecosystems; vegetation; fires; data analysis; image analysis; classification; spatial data; remote sensing; geographical variation; accuracy; estimation; detection; wildfires; spectroradiometers; Siberia; United States; Southern Africa; Show all 18 Subjects
Abstract:: ... We present an automated method for mapping burned areas using 500-m Moderate Resolution Imaging Spectroradiometer (MODIS) imagery coupled with 1-km MODIS active fire observations. The algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive vegetation index and a measure of temporal texture. Cumulative active fire maps are used to guide the selection of burned and ...
Handle:: 10113/23259
DOI:: 10.1016/j.rse.2008.10.006
: http://dx.doi.org/10.1016/j.rse.2008.10.006

Author:: Braaten, Justin D.; Cohen, Warren B.; Yang, Zhiqiang
Source:: Remote sensing of environment 2015 v.169 pp. 128-138
ISSN:: 0034-4257
Subject:: algorithms, etc ; Landsat; digital elevation models; ecosystems; ice; image analysis; land cover; lighting; radiometry; remote sensing; snow; spectral analysis; thematic maps; time series analysis; United States; Show all 15 Subjects
Abstract:: ... Automated cloud and cloud shadow identification algorithms designed for Landsat Thematic Mapper (TM) and Thematic Mapper Plus (ETM+) satellite images have greatly expanded the use of these Earth observation data by providing a means of including only clear-view pixels in image analysis and efficient cloud-free compositing. In an effort to extend these capabilities to Landsat Multispectal Scanner ( ...
DOI:: 10.1016/j.rse.2015.08.006
Chorus Open Access:: 10.1016/j.rse.2015.08.006
: http://dx.doi.org/10.1016/j.rse.2015.08.006