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You searched for: Subject "algorithms" Remove constraint Subject: "algorithms" Journal Remote sensing of environment Remove constraint Journal: Remote sensing of environment Subject algorithms Remove constraint Subject: algorithms Subject digital elevation models Remove constraint Subject: digital elevation models Subject United States Remove constraint Subject: United States
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1. Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems

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

2. Salt marsh elevation and habitat mapping using hyperspectral and LIDAR data

Author:
Hladik, Christine; Schalles, John; Alber, Merryl
Source:
Remote sensing of environment 2013 v.139 pp. 318-330
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Spartina alterniflora; decision support systems; digital elevation models; habitats; hyperspectral imagery; lidar; macrophytes; normalized difference vegetation index; remote sensing; salt marshes; vegetation cover; United States;     Show all 13 Subjects
Abstract:
... Accurate mapping of both elevation and plant distributions in salt marshes is important for management and conservation goals. Although light detection and ranging (LIDAR) is effective at measuring surface elevations, laser penetration is limited in dense salt marsh vegetation. In a previous study, we found that LIDAR-derived digital elevation model (DEM) error varied with vegetation cover. We der ...
DOI:
10.1016/j.rse.2013.08.003