Mangroves II—Change Mapping

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978-3-031-26588-4_48.pdf (515.82 KB)

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https://link.springer.com/chapter/10.1007/978-3-031-26588-4_48

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https://doi.org/10.1007/978-3-031-26588-4_48
 http://hdl.handle.net/11603/30391

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UMBC GESTAR II
UMBC Faculty Collection

Author/Creator

Author/Creator ORCID

https://orcid.org/0000-0002-2136-284X

Date

2023-10-02

Type of Work

book chapters
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Program

Citation of Original Publication

de Sousa, C., Lagomasino, D., Fatoyinbo, L. (2024). Mangroves II—Change Mapping. In: Cardille, J.A., Crowley, M.A., Saah, D., Clinton, N.E. (eds) Cloud-Based Remote Sensing with Google Earth Engine. Springer, Cham. https://doi.org/10.1007/978-3-031-26588-4_48

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0

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Abstract

The purpose of this chapter is to present two methods of land cover extent change detection: map-to-map and map-to-image using anomaly data. In a map-to-map approach, changes are extracted by subtracting a two-date pair of land cover extent maps: that is, time 2 (T2) extent minus time 1 (T1) extent. By comparison, a map-to-image approach uses a baseline extent map within which changes are calculated based on a T2 image where the change classes are defined by threshold values.