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Review Article Digital change detection techniques using remotely-sensed data

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TLDR
An evaluation of results indicates that various procedures of change detection produce different maps of change even in the same environment.
Abstract
A variety of procedures for change detection based on comparison of multitemporal digital remote sensing data have been developed. An evaluation of results indicates that various procedures of change detection produce different maps of change even in the same environment.

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Detecting deforestation with a spectral change detection approach using multitemporal Landsat data: A case study of Kinabalu Park, Sabah, Malaysia

TL;DR: Results show that the PD coefficients for soil and vegetation can be used to detect deforestation using change vector analysis (CVA), and demonstrates that deforestation in the Kinabalu area, Sabah, Malaysia has significantly slowed.
Journal ArticleDOI

Remote sensing based change analysis of rice environments in Odisha, India.

TL;DR: The spatial distribution of rice areas was mapped using MODIS (MOD09Q1) 250-m 8-day time-series data (2000-2010) and spectral matching techniques and identified the stress-prone areas due to submergence (flooding) and water shortage.
Journal ArticleDOI

Impact of human interventions and coastal processes along the Nile Delta coast, Egypt during the past twenty-five years

TL;DR: In this article, satellite images were processed to identify the dominant land use/cover classes (from 1990 to 2014) and GIS techniques spatially analyzed and quantified the rate of changes.
Journal ArticleDOI

The migration of training samples towards dynamic global land cover mapping

TL;DR: An automatic training sample migration method based on the first all-season sample set in 2015 and all available archived Landsat 5 TM images in the Google Earth Engine cloud-based platform provides a potential solution to resolve the problem of lack of training samples for dynamic global land cover mapping efforts.
Journal ArticleDOI

Land cover changes on the coastal zone of Candarli Bay, Turkey using remotely sensed data.

TL;DR: The results show significant increase in urban areas but decrease in semi natural and agricultural areas, while land cover change dynamics were investigated by the combined use of satellite remote sensing and geographical information systems.
References
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Journal ArticleDOI

Red and photographic infrared linear combinations for monitoring vegetation

TL;DR: In this article, the relationship between various linear combinations of red and photographic infrared radiances and vegetation parameters is investigated, showing that red-IR combinations to be more significant than green-red combinations.
Book

Remote sensing and image interpretation

TL;DR: In this article, the authors present a textbook for introductory courses in remote sensing, which includes concepts and foundations of remote sensing; elements of photographic systems; introduction to airphoto interpretation; air photo interpretation for terrain evaluation; photogrammetry; radiometric characteristics of aerial photographs; aerial thermography; multispectral scanning and spectral pattern recognition; microwave sensing; and remote sensing from space.
Book

Computer vision

Journal ArticleDOI

Statistical and structural approaches to texture

TL;DR: This survey reviews the image processing literature on the various approaches and models investigators have used for texture, including statistical approaches of autocorrelation function, optical transforms, digital transforms, textural edgeness, structural element, gray tone cooccurrence, run lengths, and autoregressive models.

The tasselled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat

TL;DR: In this article, the time trajectories of agricultural data points as seen in Landsat signal space form a pattern suggestive of a tasselled woolly cap, which is used to estimate and correct atmospheric haze and moisture effects.
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