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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Mapping of Cotton Fields Within-Season Using Phenology-Based Metrics Derived from a Time Series of Landsat Imagery
TL;DR: This study confirms the importance of phenological metrics in improving in-season cotton fields mapping across eastern Australia and proposes the methodology proposed in this study can map cotton crops accurately based on the reconstruction of the unique cotton reflectance trajectory through time.
Journal ArticleDOI
Bamboo Forest Mapping in China Using the Dense Landsat 8 Image Archive and Google Earth Engine
TL;DR: Zhang et al. as discussed by the authors used the Landsat 8 times series images archive to map bamboo forests in China via the Google Earth engine, using several spectral indices and used as classification features, including the normalized difference vegetation index, normalized difference moisture index (NDMI) and textural features of the gray-level co-occurrence matrix (GLCM).
ReportDOI
Northwest Forest Plan-the first 25 years
Raymond J. Davis,David R. Bell,Matthew J. Gregory,Zhiqiang Yang,Andrew N. Gray,Sean P. Healey,Andrew E. Stratton +6 more
TL;DR: In this article , the status and trends of late-successional and old-growth (LSOG) forests have been monitored since the implementation of the Northwest Forest Plan (NWFP) in 1994.
Journal ArticleDOI
Lightweight U-Net for cloud detection of visible and thermal infrared remote sensing images
Jiaqiang Zhang,Xiaoyan Li,Liyuan Li,Pengcheng Sun,Pengcheng Sun,Xiaofeng Su,Tingliang Hu,Fansheng Chen +7 more
TL;DR: A lightweight network based on depthwise separable convolutions to reduce the size of model and computational cost of pixel-wise cloud detection methods and achieves lightweight end-to-end cloud detection.
Journal ArticleDOI
A Cloud Removal Algorithm to Generate Cloud and Cloud Shadow Free Images Using Information Cloning
Kaan Kalkan,M. Derya Maktav +1 more
TL;DR: An automated cloud removal algorithm to generate cloud and cloud shadow free images from multitemporal Landsat-8 images is introduced and Spectral and structural consistency are preserved by considering spectral features and seasonal effects while cloning process.
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.