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Journal ArticleDOI

Object-based cloud and cloud shadow detection in Landsat imagery

Zhe Zhu, +1 more
- 15 Mar 2012 - 
- Vol. 118, pp 83-94
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TLDR
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%.
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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.

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Citations
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Quantifying suspended sediment dynamics in mega deltas using remote sensing data: A case study of the Mekong floodplains

TL;DR: In this article, a Principal Component Analysis (PCA) was applied to obtain uncorrelated reflectance values for five bands of Landsat TM/ETM+ and significant correlations between the scores of the 1st principal component and the values of continuously gauged suspended sediment concentration were shown via high coefficients of determination of sediment rating curves.
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Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach

TL;DR: In this paper , the authors proposed a new approach that can effectively transfer knowledge about the topology (i.e. relative position) of different crop types in the spectral feature space (e.g. the histogram of SWIR1 vs RDEG1 bands) to generate labels, thereby supporting crop classification in a different year.

Three Decades of Landsat-derived Spring Surface Water Dynamics in an Agricultural Wetland Mosaic; Implications for Migratory Shorebirds

TL;DR: In this article, the authors analyzed water extent dynamics within wetland habitats at a globally important shorebird stopover site for a 1983-2015 Landsat time series, and evaluated the effect of climate on water extent.
Journal ArticleDOI

Comparison of Masking Algorithms for Sentinel-2 Imagery

TL;DR: In this article, the performance of the masking provided by Fmask (function of mask) implemented in FORCE, ATCOR (Atmospheric Correction) and Sen2Cor (Sentinel-2 Correction) on a set of 20 Sentinel-2 scenes distributed over the globe covering a wide variety of environments and climates.
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An Exploration of Terrain Effects on Land Surface Phenology across the Qinghai-Tibet Plateau Using Landsat ETM+ and OLI Data

TL;DR: In this article, the authors detected Normalized Difference Vegetation Index (NDVI)-based land surface phenology metrics at a spatial resolution of 30 m, and explored how LSP varied with topographic factors along a 2600 km belt transect of the central QTP.
References
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Book

Morphological Image Analysis: Principles and Applications

Pierre Soille
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

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

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.

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.
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