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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Recent Advances in Forest Observation with Visual Interpretation of Very High-Resolution Imagery
Dmitry Schepaschenko,Linda See,Myroslava Lesiv,Jean-François Bastin,Jean-François Bastin,Danilo Mollicone,Nandin-Erdene Tsendbazar,Lucy Bastin,Ian McCallum,Juan Carlos Laso Bayas,Artem Baklanov,Artem Baklanov,Christoph Perger,M. Dürauer,Steffen Fritz +14 more
TL;DR: A review of the state of the art in tools designed for visual interpretation of very high-resolution (VHR) imagery can be found in this paper, including Geo-Wiki, LACO-Wiki and Collect Earth.
Journal ArticleDOI
Combinational shadow index for building shadow extraction in urban areas from Sentinel-2A MSI imagery
TL;DR: Compared with the existing building shadow indices, CSI can improve the performance of building shadow detection by combining the feature information of SEI, NDWI and NIR band, and yielded satisfactory results for extracting building shadows from Sentinel-2A MSI imagery.
Journal ArticleDOI
Utilizing Multilevel Features for Cloud Detection on Satellite Imagery
Xi Wu,Zhenwei Shi +1 more
TL;DR: A novel deep learning method for cloud detection on satellite imagery by utilizing multilevel image features by the combination of the network with feature concatenation and the particular filter tackles the cloud detection problem with improved cloud masks.
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Satellite data cloud detection using deep learning supported by hyperspectral data
TL;DR: A backpropagation (BP) neural network is employed for cloud detection from Landsat 8 OLI, National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) and Terra MODIS data, and the overall accuracy is greater than 90%.
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High-severity wildfires in temperate Australian forests have increased in extent and aggregation in recent decades
TL;DR: A retrospective analysis of wildfires larger than 1000 ha in south-eastern Australia to examine the extent and spatial pattern of high-severity burned areas between 1987 and 2017 confirms that wildfires in southern Australia have become more severe.
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.
Journal ArticleDOI
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.