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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High resolution, annual maps of field boundaries for smallholder-dominated croplands at national scales
Lyndon Estes,Su Ye,Lei Song,Boka Luo,J. Ronald Eastman,Zhenhua Meng,Qi Zhang,D. McRitchie,Stephanie R. Debats,Justus Muhando,Angeline H. Amukoa,Brian W. Kaloo,Jackson Makuru,Ben K. Mbatia,Isaac M. Muasa,Julius Mucha,Adelide M. Mugami,Judith M. Mugami,Francis W. Muinde,Fredrick M. Mwawaza,Jeff Ochieng,Charles J. Oduol,Purent Oduor,Thuo Wanjiku,Joseph G. Wanyoike,Ryan Avery,Kelly Caylor +26 more
TL;DR: In this paper, the authors developed an approach designed to address the spatial and temporal mismatch between satellite sensors and smallholder fields, and a lack of high-quality labels needed to train and assess machine learning classifiers.
Journal ArticleDOI
Global-scale changes in the area of atoll islands during the 21st century
Journal ArticleDOI
Mapping disturbance dynamics in wet sclerophyll forests using time series landsat
TL;DR: In this paper, the temporal-spectral patterns associated with identifying acute severity and low-severity disturbances between 1985 and 2011 with the objective to test whether different disturbance agents within these categories can be identified with annual Landsat time series data.
Journal ArticleDOI
Landsat-8 cloud-free observations in wet tropical areas: A case study in South East Asia
TL;DR: In this article, the authors studied the temporal granularity of cloud-free observations and showed that the annual production of two quasi-complete composited maps for SEA seems achievable when 'greenness' and 'brownness' are close to their maximum.
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Characterizing spatial-temporal patterns of landscape disturbance and recovery in western Alberta, Canada using a functional data analysis approach and remotely sensed data
Mathieu L. Bourbonnais,Trisalyn A. Nelson,Gordon B. Stenhouse,Michael A. Wulder,Joanne C. White,Geordie W. Hobart,Txomin Hermosilla,Nicholas C. Coops,Farouk S. Nathoo,Chris T. Darimont +9 more
TL;DR: Differences in cumulative mean disturbance pattern metric curves enable insights regarding how cumulative spatial disturbance patterns evolve through time on the landscape as a function of the type of disturbance and rates of recovery.
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.
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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.