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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Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites.
Jacob A. Nelson,Oscar Perez-Priego,Sha Zhou,Sha Zhou,Rafael Poyatos,Yao Zhang,Peter D. Blanken,Teresa E. Gimeno,Georg Wohlfahrt,Ankur R. Desai,Beniamino Gioli,Jean-Marc Limousin,Damien Bonal,Eugénie Paul-Limoges,Russell L. Scott,Andrej Varlagin,Kathrin Fuchs,Leonardo Montagnani,Sebastian Wolf,Nicolas Delpierre,Daniel Berveiller,Mana Gharun,Luca Belelli Marchesini,Damiano Gianelle,Ladislav Šigut,Ivan Mammarella,Lukas Siebicke,T. Andrew Black,Alexander Knohl,Lukas Hörtnagl,Vincenzo Magliulo,Simon Besnard,Simon Besnard,Ulrich Weber,Nuno Carvalhais,Nuno Carvalhais,Mirco Migliavacca,Markus Reichstein,Martin Jung +38 more
TL;DR: Overall, T and T/ET patterns are plausible and qualitatively consistent among the different water flux partitioning methods implying a significant advance made for estimating and understanding T globally, while the magnitudes remain uncertain.
Journal ArticleDOI
Mapping the timing of cropland abandonment and recultivation in northern Kazakhstan using annual Landsat time series
Andrey Dara,Andrey Dara,Matthias Baumann,Tobias Kuemmerle,Dirk Pflugmacher,Andreas Rabe,Patrick Griffiths,Norbert Hölzel,Johannes Kamp,Martin Freitag,Patrick Hostert +10 more
TL;DR: In this paper, a trajectory-based change detection approach was developed to identify cropland abandonment between 1988 and 2013 and recultivation between 1991 and 2013, with abandonment being detected more accurately (user's accuracy of 93%).
Posted Content
Long-term agricultural land-cover change and potential for cropland expansion in the former Virgin Lands area of Kazakhstan
Roland Kraemer,Roland Kraemer,Alexander V. Prishchepov,Alexander V. Prishchepov,Daniel Müller,Daniel Müller,Tobias Kuemmerle,Volker C. Radeloff,Andrey Dara,Alexey Terekhov,Manfred Frühauf +10 more
TL;DR: In this article, the authors reconstruct and analyze agricultural land-cover change since the eve of the Virgin Lands Campaign, from 1953 to 2010 in Kostanay Province, a region that is representative of Northern Kazakhstan.
Journal ArticleDOI
An Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method for producing high spatiotemporal resolution normalized difference vegetation index time series
Meng Liu,Meng Liu,Wei Yang,Xiaolin Zhu,Jin Chen,Xuehong Chen,Linqing Yang,Linqing Yang,Eileen H. Helmer +8 more
TL;DR: The Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method was developed in this article to provide reliable NDVI datasets with high spatial and temporal resolution to support research on land surface processes.
Journal ArticleDOI
Empirical cross sensor comparison of Sentinel-2A and 2B MSI, Landsat-8 OLI, and Landsat-7 ETM+ top of atmosphere spectral characteristics over the conterminous United States
TL;DR: In this paper, the authors assess absolute and proportional differences in near-contemporaneous observations for six bands with comparable spectral response functions and spatial resolution between the Sentinel-2 Multi Spectral Instrument and Landsat Operational Land Imager and Enhanced Thematic Mapper Plus imagery.
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.