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, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change
Zhe Zhu,Curtis E. Woodcock +1 more
TL;DR: The goal is development of a cloud, cloud shadow, and snow detection algorithm that results in a multitemporal stack of images that is free of “noise” factors and thus suitable for detection of land cover change.
Journal ArticleDOI
Continuous monitoring of forest disturbance using all available Landsat imagery
TL;DR: In this article, a change detection algorithm for continuous monitoring of forest disturbance at high temporal frequency is developed using all available Landsat 7 images in two years, time series models consisting of sines and cosines are estimated for each pixel for each spectral band.
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Comparing Landsat water index methods for automated water classification in eastern Australia
TL;DR: In this paper, the authors compared the accuracy of seven water index methods for classifying water in 30m resolution Landsat TM/ETM+/OLI imagery from eastern Australia.
Journal ArticleDOI
The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent
Peter Bunting,Ake Rosenqvist,Richard Lucas,Lisa-Maria Rebelo,Lammert Hilarides,Nathan Thomas,Andy Hardy,Takuya Itoh,Masanobu Shimada,C. Max Finlayson +9 more
TL;DR: This study presents a new global baseline of mangrove extent for 2010 and has been released as the first output of the Global Mangrove Watch (GMW) initiative, the first study to apply a globally consistent and automated method for mapping mangroves.
Journal ArticleDOI
Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia
Norman Mueller,Adam Lewis,Dale Roberts,Dale Roberts,S. Ring,Rachel Melrose,Joshua Sixsmith,Leo Lymburner,Alexis McIntyre,Peter Tan,S. Curnow,Alex Ip +11 more
TL;DR: A water detection algorithm was used based on a decision tree classifier, and a comparison methodology using a logistic regression was used to map the presence of surface water across the entire continent from every observation of 27 years of satellite imagery as mentioned in this paper.
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.