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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Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems
TL;DR: MSS clear-view-mask (MSScvm), an automated cloud and shadow identification algorithm for MSS imagery, provides a suitable automated method for creating cloud and cloud shadow masks for M SS imagery required for time series analyses in temperate ecosystems.
Journal ArticleDOI
Measuring urban agglomeration using a city-scale dasymetric population map: A study in the Pearl River Delta, China
TL;DR: In this article, a new city-scale dasymetric modeling approach that incorporates historical census data for 28 cities in the Pearl River Delta area of southern China is presented. But the authors do not consider the influence of urban agglomeration on population spreading processes.
Journal ArticleDOI
SPOT-4 (Take 5): Simulation of Sentinel-2 Time Series on 45 Large Sites
Olivier Hagolle,Sylvia Sylvander,Mireille Huc,Martin Claverie,Dominique Clesse,Cécile Dechoz,Vincent Lonjou,Vincent Poulain +7 more
TL;DR: The SPOT-4 (Take 5) experiment, aimed at providing time series of optical images simulating the repetitivity, the resolution and the large swath of Sentinel-2 images, was presented to help users set up and test their applications and methods, before Sentinel- 2 mission data become available.
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Detecting Himalayan glacial lake outburst floods from Landsat time series
TL;DR: In this paper, a Random Forest classifier was used to generate fuzzy land cover maps for 2491 images, achieving overall accuracies of 91% and a likelihood-based change point technique to estimate the timing of glacial lake outburst floods at the pixel scale.
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Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves
TL;DR: This study suggests that by exploiting multi-year Landsat imagery and calibrating it with MODIS data it is possible to describe green-leaf phenology at much finer spatial resolution than previously possible, highlighting the potential for fine scale phenology maps using the rich Landsat data archive over large areas.
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.