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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Clouds classification from Sentinel-2 imagery with deep residual learning and semantic image segmentation
Cheng Chien Liu,Yu Cheng Zhang,Pei-Yin Chen,Chien Chih Lai,Yi Hsin Chen,Ji Hong Cheng,Ming Hsun Ko +6 more
TL;DR: A new DL architecture, named CloudNet, with an enhanced capability of feature extraction for classifying cloud and haze from Sentinel-2 imagery, with the intention of supporting automatic change detection in LULC.
Journal ArticleDOI
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors
TL;DR: A nonparametric unsupervised automatic algorithm for the identification of inland water pixels from multispectral satellite data using multidimensional clustering and a high-performance subsampling approach for large scenes is presented.
Journal ArticleDOI
Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery
TL;DR: Compared to traditional methods, the proposed Fuzzy Autoencode Model technique has attained higher average cloud detection accuracy for either different spatial resolutions or various land surfaces.
Journal ArticleDOI
Cloud masking and removal in remote sensing image time series
Luis Gómez-Chova,Julia Amorós-López,Gonzalo Mateo-Garcia,Jordi Muñoz-Marí,Gustau Camps-Valls +4 more
TL;DR: A cloud screening method based on detecting abrupt changes along the time dimension that yields more accurate cloud masks when confronted with state-of-the-art approaches typically used in operational settings is introduced.
Journal ArticleDOI
Effects of Live Fuel Moisture Content on Wildfire Occurrence in Fire-Prone Regions over Southwest China
TL;DR: Li et al. as discussed by the authors investigated the relationship between Live Fuel Moisture Content (LFMC) and wildfire occurrence across the subtropical highland zone (Cwa) and humid subtropICAL zones (Cwb) over southwest China, and demonstrated that the LFMC dynamics explained wildfire occurrence in these fire-prone regions over China, allowing the possibility to develop a new operational wildfire danger forecasting model over this area by considering the satellite-derived LFMC product.
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.