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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%.
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.

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Citations
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Journal ArticleDOI

Cloud/shadow segmentation based on global attention feature fusion residual network for remote sensing imagery

TL;DR: In this paper, cloud and cloud shadow segmentation of satellite imageries is a prerequisite for many remote sensing applications, due to the limited number of available spectral bands and the complexity of backgr...
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Predicting habitat quality of protected dry grasslands using Landsat NDVI phenology

TL;DR: In this article, the authors used the Normalized Difference Vegetation Index (NDVI) to predict habitat quality of protected dry grasslands in Switzerland and found that NDVI metrics were highly informative for the habitat qualities of abandoned sites, but grazing and mowing reduced or even cancelled their predictive power.
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Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery.

TL;DR: Multi-resolution imagery contributes to regionalized assessment of forest cover in the world’s drylands while developed CAFC maps aim to facilitate decisions on biodiversity conservation and reforestation programs in Central Asia.
Journal ArticleDOI

Quantifying annual changes in built-up area in complex urban-rural landscapes from analyses of PALSAR and Landsat images.

TL;DR: In this article, a pixel-and rule-based decision tree approach was proposed to identify and map built-up area at 30-m resolution from 2007 to 2010, using PALSAR HH gamma-naught and Landsat annual maximum Normalized Difference Vegetation Index (NDVImax).
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Impact of time on interpretations of forest fragmentation: Three-decades of fragmentation dynamics over Canada

TL;DR: In this paper, the authors investigate the multi-temporal characterization of forest fragmentation across the forested ecosystems of Canada and characterize the past three decades of forest fragmented, providing useful context against which future analyses can be compared.
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.
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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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