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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Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites
Patrick Griffiths,Tobias Kuemmerle,Matthias Baumann,Volker C. Radeloff,Ioan Vasile Abrudan,Juraj Lieskovsky,Catalina Munteanu,Katarzyna Ostapowicz,Katarzyna Ostapowicz,Patrick Hostert +9 more
TL;DR: In this article, the authors analyzed changes in forest types, forest disturbances, and forest recovery for the Carpathian ecoregion in Eastern Europe using the Landsat archive.
Journal ArticleDOI
A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data
TL;DR: Wang et al. as mentioned in this paper provided a two-stage framework of long-term mapping of urban areas at an annual frequency in Beijing, China, over the period from 1984 to 2013.
Journal ArticleDOI
GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery
TL;DR: In this article, a novel 30'm land cover classification with a fine classification system for the year 2015 (GLC_FCS30-2015) was produced by combining time series of Landsat imagery and high-quality training data from the GSPECLib (Global Spatial Temporal Spectra Library) on the Google Earth Engine computing platform.
Journal ArticleDOI
A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping
TL;DR: This study presents a compositing algorithm that facilitates creating cloud free, seasonally and radiometrically consistent datasets from the Landsat archive, allowing for regional to global LULCC mapping at high spatial resolutions.
Journal ArticleDOI
Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms
Jinwei Dong,Jinwei Dong,Xiangming Xiao,Xiangming Xiao,Xiangming Xiao,Weili Kou,Weili Kou,Yuanwei Qin,Geli Zhang,Li Li,Li Li,Cui Jin,Yuting Zhou,Jie Wang,Chandrashekhar Biradar,Jiyuan Liu,Berrien Moore +16 more
TL;DR: Wang et al. as mentioned in this paper developed an automated, Landsat-based paddy rice mapping (Landsat-RICE) system that uses time series Landsat images and a phenology-based algorithm based on the unique spectral characteristics of paddy Rice during the flooding/transplanting phase.
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.