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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/84194 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/84194 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/84194 archive 353 disk0/00/01/52/97 2018-05-28 09:37:38 2021-08-27 17:30:24 2018-05-28 09:37:38 conference_item show 1 Hadi H. Krasovskii A. 8266 0000-0003-0940-9366 Maus V. 8780 0000-0002-7385-4723 Yowargana P. 2069 Pietsch S. 2054 0000-0001-6431-2212 Rautiainen M. pub prog_esm In this study we demonstrated for the first time the potential of using full time series from high spatial resolution (30 m) Landsat satellites, covering a period from 1987-2017, for characterizing historical dynamics in Indonesian humid tropical rainforests. Our special focus was on mapping forest disturbance and post-disturbance regrowth, which in turn can potentially be used to map primary (undisturbed) forests, secondary (disturbed/degraded) forests, and forest land converted to oil palm plantation. We applied the Breaks For Additive Season and Trend (BFAST) Monitor framework for continuous change detection; BFAST is a generic and transparent method, which can be used for near-real-time monitoring. To verify our approach, a preliminary spatial accuracy assessment was carried out for disturbance detection using 418 sample pixels interpreted from very high spatial resolution images acquired through Digital Globe viewing service. Besides, we identified the sources of detection errors and approaches to overcome them. Implementation of the potential map product in existing international and national policies will be discussed 2018-04 published https://meetingorganizer.copernicus.org/EGU2018/EGU2018-13826.pdf 164 3138 341 232 public poster European Geosciences Union General Assembly 2018 Vienna, Austria 9-13 April 2018 conference FALSE FALSE no info:eu-repo/semantics/conferenceObject