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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Proceedings ArticleDOI
Estimating ground-level PM2.5 concentration using Landsat 8 in Chengdu, China
TL;DR: In this paper, an empirical multilinear model was developed for estimating ground-level PM2.5 concentration at city scale (Chengdu, China) using Landsat 8 data.
Journal ArticleDOI
Evaluating the impacts of models, data density and irregularity on reconstructing and forecasting dense Landsat time series
TL;DR: In this paper, the authors evaluated the performance of a variety of time series models, including the harmonic (HR) model, autoregressive (AR), linear Gaussian state-space (LGSS), cubic spline (SP), double logistic (DL) model and asymmetric Gaussian (AG) model for reconstructing and forecasting dense Landsats 5-7 time series based on 4562 samples.
Journal ArticleDOI
Sediment deposition affects mangrove forests in the Mekong delta, Vietnam
TL;DR: In this article, the effects of sediment deposition on a mangrove forest in the Mekong river delta, Vietnam, were investigated using remote sensing images, which indicated that the dieback occurred in 2014, with a sharp drop in Normalized Difference Vegetation Index (NDVI).
Journal ArticleDOI
Detecting Forest Disturbance and Recovery in Primorsky Krai, Russia, Using Annual Landsat Time Series and Multi–Source Land Cover Products
Yang Hu,Yunfeng Hu +1 more
TL;DR: The technical method extended can be used as a reference for large–scale and high–precision dynamic monitoring of the forests in Russia’s Far East and other regions of the world; it also provides a basis for estimating illegal timber harvesting and determining the appropriate amount of forest harvested.
An Automatic System for Reconstructing High-Quality Seasonal Landsat Time-Series
TL;DR: Zhu et al. as discussed by the authors used seasonal time series data from the Landsat images to study land surface dynamics with a spatial resolution appropriate for heterogeneous land surfaces, such as urban 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.
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.