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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. Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology

Author:
Walker, J.J.; de Beurs, K.M.; Wynne, R.H.; Gao, F.
Source:
Remote sensing of environment 2012 v.117 pp. 381
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Landsat; arid lands; cartography; correlation; data collection; ecosystems; forests; growing season; image analysis; models; moderate resolution imaging spectroradiometer; normal values; phenology; reflectance; sensors (equipment); spatial variation; temporal variation; time series analysis; vegetation structure; Arizona;     Show all 21 Subjects
Abstract:
... Current satellite sensors provide data of insufficient spatial and temporal resolutions to fully characterize the patchy phenology patterns of dryland forests. The spatial and temporal adaptive reflectance fusion model (STARFM) is an algorithm that fuses Landsat 30 m data with MODIS 500 m data to produce synthetic imagery at Landsat spatial resolution and MODIS time steps. In this study, we evalua ...
Handle:
10113/59907
DOI:
10.1016/j.rse.2011.10.014