Journal ArticleDOI
Object-based cloud and cloud shadow detection in Landsat imagery
Zhe Zhu,Curtis E. Woodcock +1 more
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The goal is development of a cloud and cloud shadow detection algorithm suitable for routine usage with Landsat images and as high as 96.4%.About:
This article is published in Remote Sensing of Environment.The article was published on 2012-03-15. It has received 1620 citations till now. The article focuses on the topics: Cloud top & Cloud fraction.read more
Citations
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Short-term vegetation loss versus decadal degradation of grasslands in the Caucasus based on Cumulative Endmember Fractions
TL;DR: In this article, a new approach for monitoring both short-term vegetation loss and decadal degradation in grasslands using satellite data is presented, which integrates Spectral Mixture Analysis and temporal segmentation, and analyzes dense time-series of satellite observations in three steps.
Journal ArticleDOI
Changes in Gross Primary Production (GPP) over the Past Two Decades Due to Land Use Conversion in a Tourism City
TL;DR: The results demonstrated that urban land development, namely, the increase of settlement areas due to tourism activity, had overall negative effects on terrestrial GPP, which caused Denpasar, Bali, Indonesia to lose half of its ability to uptake carbon through vegetation.
Journal ArticleDOI
Assessment of Forest Degradation in Vietnam Using Landsat Time Series Data
James E. Vogelmann,Phung Van Khoa,Do Xuan Lan,Jacob Shermeyer,Hua Shi,Michael C. Wimberly,Hoang Tat Duong,Le Van Huong +7 more
TL;DR: The authors' analyses indicated that many land-use changes have occurred throughout Lam Dong Province, including gradual forest to non-forest transitions, and one important observation is that the most highly protected national reserves in the region have not changed much over the entire Landsat timeframe (1972–present).
Journal ArticleDOI
Validation of the LaSRC Cloud Detection Algorithm for Landsat 8 Images
TL;DR: It is shown that the LaSRC cloud detection algorithm reliably identifies thick clouds with commission and omission errors less than 4% and suggestions on reducing subjectivity, when generating cloud validation datasets are given.
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An Efficient Approach to Remove Thick Cloud in VNIR Bands of Multi-Temporal Remote Sensing Images
TL;DR: Very good consistency was achieved in the resulted images, which confirms that the proposed approach could be served as an alternative for cloud removal in the VNIR bands using multi-temporal images with good maintenance of DN (digital number) value consistency.
References
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Book
Morphological Image Analysis: Principles and Applications
TL;DR: This self-contained volume will be valuable to all engineers, scientists, and practitioners interested in the analysis and processing of digital images.
Journal ArticleDOI
A Landsat surface reflectance dataset for North America, 1990-2000
Jeffrey G. Masek,Eric Vermote,Nazmi Saleous,Robert E. Wolfe,Forrest G. Hall,Karl F. Huemmrich,Feng Gao,J. Kutler,Teng-Kui Lim +8 more
TL;DR: Initial comparisons with ground-based optical thickness measurements and simultaneously acquired MODIS imagery indicate comparable uncertainty in Landsat surface reflectance compared to the standard MODIS reflectance product.
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Discriminating clear sky from clouds with MODIS
Steven A. Ackerman,Kathleen I. Strabala,W. Paul Menzel,Richard A. Frey,Christopher C. Moeller,Liam E. Gumley +5 more
TL;DR: The MODIS cloud mask algorithm as discussed by the authors uses several cloud detection tests to indicate a level of confidence that the MEDIS is observing clear skies, which is ancillary input to MEDIS land, ocean, and atmosphere science algorithms to suggest processing options.
Journal ArticleDOI
Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data
TL;DR: Zhang et al. as discussed by the authors used a more advanced NASA Goddard Institute for Space Studies (GISS) radiative transfer model and improved ISCCP cloud climatology and ancillary data sets.
Journal ArticleDOI
Spectral signature of alpine snow cover from the Landsat Thematic Mapper.
Jeff Dozier,Jeff Dozier +1 more
TL;DR: In this article, the spectral signatures of the Landsat TM images of the Sierra Nevada were analyzed to distinguish several classes of snow from other surface covers, and a number of TM images were used for automatic analysis of alpine snow cover.