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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

Geospatial Techniques for Improved Water Management in Jordan

TL;DR: In this paper, a case from Jordan where geospatial techniques were utilized for irrigation water auditing was presented, where mapping of irrigated areas and crop water requirements was carried out using remote sensing data of Landsat 8 and daily weather records.
Journal ArticleDOI

Prevalence of multiple forest disturbances and impact on vegetation regrowth from interannual Landsat time series (1985–2015)

TL;DR: In this paper, the authors assessed multiple disturbances for the 650 Mha of Canada's forested ecosystems using annual change information derived from Landsat time series imagery (1985-2015). Changes were typed by agent (fire, harvest, and non-stand replacing).
Journal ArticleDOI

Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances

TL;DR: A modified version of the DMS approach that employs a relaxed box size for energy conservation (EC) is proposed, enabling the development of a prototype system that generates high spatiotemporal resolution LST products for improved agricultural water use monitoring by synthesizing multi-source remote sensing data.
Journal ArticleDOI

A cloud shadow detection method combined with cloud height iteration and spectral analysis for Landsat 8 OLI data

TL;DR: This article improves the geometry-based cloud shadow detection method for Landsat OLI from the following two aspects: object-based and pixel spectral analyses are combined to detect cloud shadows, which can realize cloudshadow detection from two aspects of target scale and pixel scale.
Journal ArticleDOI

Mapping annual irrigation from Landsat imagery and environmental variables across the conterminous United States

TL;DR: In this article, Xie et al. presented an approach to map the extent of irrigated croplands across the conterminous U.S. (CONUS) for each year in the period of 1997-2017.
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.
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.

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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