Digital Remote Sensing within the Field of Land Change Science
Past, Present and Future Directions
Bibliographic Data
| ID | 5697270 |
|---|---|
| Authors | James Southworth (0000-0002-7246-7879, University of Florida), Jane Southworth, Cerian Gibbes (0000-0002-2388-0077, University of Florida) |
| Year | 2010 |
| Volume | 4 |
| Issue | 12 |
| Pages | 1695-1712 |
| Publication date | 2010-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Geography Compass (JOURNAL) |
| Journal identifiers | ISSN: 1749-8198 • E-ISSN: 1749-8198 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1749-8198.2010.00401.x |
| OpenAlex | W1912362451 |
| Language | EN |
| References cited | 99 |
The availability of repeat digital, synoptic measures of the earth's surface has resulted in remote sensing of the earth's surface forming the basis of many land change science (LCS) research questions. This article reviews passive digital remote sensing for the use of LCS and discusses the past, present and future directions for remote sensing applications within the LCS field. Rigorous detection of land cover change provides the foundation for improved understandings of human-environment interactions. Change detection includes the monitoring and assessing of land cover conversions and modifications that have become imperative to LCS. Generally land cover change analyses rely on digital remotely sensed data, in particular, passive satellite imagery. We aim to provide a general overview of the remote sensing methodologies used commonly for land cover change analyses and then consider more novel approaches for monitoring and assessing land cover change using the available technology. Finally, some of the main limitations to development in this field will also be discussed
Change detection · Civil engineering · Data science · Earth observation · Environmental resource management · Geography · Land cover · Land use · Remote sensing · Remote sensing application · Satellite · Computer Science · Engineering · Environmental Science · Land Use and Ecosystem Services · Remote Sensing in Agriculture · Remote-Sensing Image Classification
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| Highly cited | No |
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