Review Article Digital change detection techniques using remotely-sensed data
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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.read more
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Analysis of spatio-temporal land cover changes for hydrological impact assessment within the Nyando River Basin of Kenya.
TL;DR: The study exposed the vast degradation and hence the need for sustainable land use planning for enhanced catchment management purposes and exposed the haphazard land use patterns and uncertainties related to poor data quality for environmental monitoring and assessment.
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Monitoring mangrove forest dynamics in Campeche, Mexico, using Landsat satellite data
TL;DR: In this paper, the authors used unsupervised classification of Landsat satellite data from 1999 and 2016 to map and quantify mangrove forest cover changes along Campeche's coast and worked with local fishing guides to identify regional drivers of degradation.
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Projecting land-use and land-cover changes in a tropical mountain forest of Southern Ecuador
TL;DR: In this paper, a business-as-usual scenario based on two Landsat scenes from 1987 and 2001 was created to project land use and land cover changes (LULCC) until 2006.
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Global coffee market influence on land-use and land-cover change in the Western Ghats Of India
TL;DR: In this paper, the authors used image processing techniques to examine the spatial pattern of land-use and land-cover (LULC) change that occurred in the coffee growing area in the Western Ghats of India during the international coffee crisis in the 1990s.
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Local Spectrum-Trend Similarity Approach for Detecting Land-Cover Change by Using SPOT-5 Satellite Images
TL;DR: This letter proposes a new image feature named spectrum trend, which is explored from the spectral values of the image in a local geographic area through raster encoding and curve fitting techniques, and applied and validated by a case study of land-cover CD in Wuqin District, Tianjin City, China, by using SPOT-5 satellite images.
References
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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.
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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.
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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
R. J. Kauth,G. S. Thomas +1 more
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.