Data mining algorithms for land cover change detection: a review
نویسندگان
چکیده
منابع مشابه
Land Cover Change Detection using Data Mining Techniques
The study of land cover change is an important problem in the Earth science domain because of its impacts on local climate, radiation balance, biogeochemistry, hydrology, and the diversity and abundance of terrestrial species. Data mining and knowledge discovery techniques can aid this effort by efficiently discovering patterns that capture complex interactions between ocean temperature, air pr...
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Remote sensing data that consists of satellite observations of the land surface, biosphere, solid Earth, atmosphere, and oceans, combined with historical climate records and predictions from ecosystem models, offers new opportunities for understanding how the Earth is changing, for determining what factors cause these changes, and for predicting future changes. Data mining and knowledge discove...
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Ecosystem-related observations from remote sensors on satellites offer huge potential for understanding the location and extent of global land cover change. This paper presents a comparative study of three time series based algorithms for detecting changes in land cover. The techniques are evaluated quantitatively using forest fire ground truth from the state of California for 2000–2009. On rel...
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Monitoring the locations and distributions of land-cover change is important for establishing links between policy decisions, regulatory actions and resulting land-use activities. Past activities including two-date change detection efforts using Landsat data have tended to be performance limited for applications in biologically complex systems. This study explored the use of 250 m multi-tempora...
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ژورنال
عنوان ژورنال: Sādhanā
سال: 2017
ISSN: 0256-2499,0973-7677
DOI: 10.1007/s12046-017-0751-4