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Journal ArticleDOI

Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

Zhe Zhu, +2 more
- 15 Mar 2015 - 
- Vol. 159, Iss: 159, pp 269-277
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TLDR
In this article, a new cirrus band was introduced for detecting clouds, especially for thin cirrus clouds, and a new version of the Fmask algorithm was developed for use with Landsat 8 images.
About
This article is published in Remote Sensing of Environment.The article was published on 2015-03-15. It has received 1018 citations till now. The article focuses on the topics: Cirrus.

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Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

TL;DR: A multilevel DL architecture that targets land cover and crop type classification from multitemporal multisource satellite imagery outperforms the one with MLPs allowing us to better discriminate certain summer crop types.
Journal ArticleDOI

Optical remotely sensed time series data for land cover classification: A review

TL;DR: In this article, the authors present the issues and opportunities associated with generating and validating time-series informed annual, large-area, land cover products, and identify methods suited to incorporating time series information and other novel inputs for land cover characterization.
Journal ArticleDOI

Cloud detection algorithm comparison and validation for operational Landsat data products

TL;DR: A workflow to evaluate cloud and cloud shadow masking algorithms using cloud validation masks manually derived from both Landsat 7 Enhanced Thematic Mapper Plus and Landsat 8 OLI/TIRS data is created, finding that CFMask, C code based on the Function of Mask (Fmask) algorithm, and its confidence bands have the best overall accuracy among the many algorithms tested using validation data.
Journal ArticleDOI

Widespread global increase in intense lake phytoplankton blooms since the 1980s

TL;DR: Three decades of high-resolution Landsat 5 satellite imagery are used to investigate long-term trends in intense summertime near-surface phytoplankton blooms for 71 large lakes globally, revealing a worldwide exacerbation of bloom conditions.
References
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Journal ArticleDOI

Overview of the radiometric and biophysical performance of the MODIS vegetation indices

TL;DR: In this paper, the authors evaluated the performance and validity of the MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index(EVI), produced at 1-km and 500-m resolutions and 16-day compositing periods.
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

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

TL;DR: An overview of the GMES Sentinel-2 mission including a technical system concept overview, image quality, Level 1 data processing and operational applications is provided.
Journal ArticleDOI

Landsat-8: Science and Product Vision for Terrestrial Global Change Research

TL;DR: Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared as mentioned in this paper.
Journal ArticleDOI

The MODIS cloud products: algorithms and examples from Terra

TL;DR: The various algorithms being used for the remote sensing of cloud properties from MODIS data with an emphasis on the pixel-level retrievals (referred to as Level-2 products), with 1-km or 5-km spatial resolution at nadir are described.
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