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Journal ArticleDOI

Locally adaptive unmixing method for lake-water area extraction based on MODIS 250 m bands

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TLDR
A locally adaptive unmixing (LAU) method to extract lake-water area using 250 m MODIS images that is not only locally adaptive for endmember selection, but is also independent of the number of bands.
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This article is published in International Journal of Applied Earth Observation and Geoinformation.The article was published on 2014-12-01. It has received 33 citations till now. The article focuses on the topics: Endmember & Image resolution.

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Journal ArticleDOI

Automated Subpixel Surface Water Mapping from Heterogeneous Urban Environments Using Landsat 8 OLI Imagery

TL;DR: The results indicate that the proposed AsWM was able to detect water pixels more efficiency than other unsupervised water extraction methods, and the water fractions estimated by the proposed ASWM method correspond closely to the reference fractions with the slopes of 0.97, 1.04, and 0.98.
Journal ArticleDOI

A survey of methods incorporating spatial information in image classification and spectral unmixing

TL;DR: A comprehensive review of the state-of-the-art techniques in incorporating spatial information in image classification and spectral unmixing and a perspective on future research directions for advancing spatial-spectral methods is offered.

Inter-annual Water Storage Changes in the Aral Sea from Multi-mission Satellite Altimetry, Remote Sensing, and GRACE Satellite Gravimetry

TL;DR: In this paper, the authors used a combination of radar and laser satellite altimetry data sets over the Aral Sea to estimate the water level of the lake and its surrounding.
Journal ArticleDOI

Monitoring Disaster-Related Power Outages Using NASA Black Marble Nighttime Light Product

TL;DR: In this paper, the authors used the satellite-derived Nighttime Lights (NTL) to provide an indication of human activity patterns and have been successfully used to monitor disaster-related power outages.
Journal ArticleDOI

Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information

TL;DR: In this article, the authors proposed a new approach that aims to monitor reservoir surface water area variations accurately and timely from daily MODIS images by exploring sub-pixel scale information, which makes it possible to directly estimate the whole reservoir water area from, potentially, an individual cloud-free MODIS pixel.
References
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Journal ArticleDOI

Tobler's First Law and Spatial Analysis

TL;DR: I never thought that others would take them so much more seriously then I did. -Albert Einstein on his theories "I invoke the first law of geography: everything is related to everything else, but n...
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Analysis of Dynamic Thresholds for the Normalized Difference Water Index

TL;DR: In this article, the normalized difference water index (NDWI) has been successfully used to delineate surface water features, but two major problems have often encountered: (a) NDWIs calculated from different band combinations [visible, nearinfrared, or shortwave-infrared (SWIR)] can generate different results, and (b) NDWI thresholds vary depending on the proportions of subpixel water/non-water components.
Journal Article

Water body detection and delineation with Landsat TM data.

TL;DR: In this paper, the accuracy of single band density slicing of Landsat 5 TM data to delineate water bodies on riverine floodplains was compared to a 6-band maximum likelihood classification over the same area.

A Survey of Spectral Unmixing Algorithms

TL;DR: This article distills spectral unmixing algorithms into a unique set and surveys their characteristics through hierarchical taxonomies that reveal the commonalities and differences between algorithms.
Journal ArticleDOI

Assessment of inundation changes of Poyang Lake using MODIS observations between 2000 and 2010

TL;DR: In this article, the authors studied the short and long-term characteristics of lake inundation and found significant seasonality and inter-annual variability in the monthly and annual mean inundation areas.
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