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Reiche, Johannes, de Bruin, Sytze, Hoekman, Dirk, Verbesselt, Jan, Herold, Martin (2015) A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection. Remote Sensing, 7 (5). doi:10.3390/rs70504973

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Reference TypeJournal (article/letter/editorial)
TitleA Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection
JournalRemote Sensing
AuthorsReiche, JohannesAuthor
de Bruin, SytzeAuthor
Hoekman, DirkAuthor
Verbesselt, JanAuthor
Herold, MartinAuthor
Year2015 (April 23)Volume7
Issue5
PublisherMDPI AG
DOIdoi:10.3390/rs70504973Search in ResearchGate
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Mindat Ref. ID17804535Long-form Identifiermindat:1:5:17804535:7
GUID0
Full ReferenceReiche, Johannes, de Bruin, Sytze, Hoekman, Dirk, Verbesselt, Jan, Herold, Martin (2015) A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection. Remote Sensing, 7 (5). doi:10.3390/rs70504973
Plain TextReiche, Johannes, de Bruin, Sytze, Hoekman, Dirk, Verbesselt, Jan, Herold, Martin (2015) A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection. Remote Sensing, 7 (5). doi:10.3390/rs70504973
In(2015, May) Remote Sensing Vol. 7 (5). MDPI AG

See Also

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Reiche, Johannes, Hamunyela, Eliakim, Verbesselt, Jan, Hoekman, Dirk, Herold, Martin (2018) Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2. Remote Sensing of Environment, 204. 147-161 doi:10.1016/j.rse.2017.10.034
Reiche, Johannes, Verbesselt, Jan, Hoekman, Dirk, Herold, Martin (2015) Fusing Landsat and SAR time series to detect deforestation in the tropics. Remote Sensing of Environment, 156. 276-293 doi:10.1016/j.rse.2014.10.001
Hamunyela, Eliakim, Reiche, Johannes, Verbesselt, Jan, Herold, Martin (2017) Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series. Remote Sensing, 9 (6). doi:10.3390/rs9060515
Hamunyela, Eliakim, Verbesselt, Jan, de Bruin, Sytze, Herold, Martin (2016) Monitoring Deforestation at Sub-Annual Scales as Extreme Events in Landsat Data Cubes. Remote Sensing, 8 (8). doi:10.3390/rs8080651
Hamunyela, Eliakim, Verbesselt, Jan, Herold, Martin (2016) Using spatial context to improve early detection of deforestation from Landsat time series. Remote Sensing of Environment, 172. 126-138 doi:10.1016/j.rse.2015.11.006
Verbesselt, Jan, Zeileis, Achim, Herold, Martin (2012) Near real-time disturbance detection using satellite image time series. Remote Sensing of Environment, 123. 98-108 doi:10.1016/j.rse.2012.02.022
De Keersmaecker, Wanda, Rodríguez-Sánchez, Pablo, Milencović, Milutin, Herold, Martin, Reiche, Johannes, Verbesselt, Jan (2022) Evaluating recovery metrics derived from optical time series over tropical forest ecosystems. Remote Sensing of Environment, 274. 112991pp. doi:10.1016/j.rse.2022.112991
Masiliūnas, Dainius, Tsendbazar, Nandin-Erdene, Herold, Martin, Verbesselt, Jan (2021) BFAST Lite: A Lightweight Break Detection Method for Time Series Analysis. Remote Sensing, 13 (16). doi:10.3390/rs13163308
DeVries, Ben, Decuyper, Mathieu, Verbesselt, Jan, Zeileis, Achim, Herold, Martin, Joseph, Shijo (2015) Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series. Remote Sensing of Environment, 169. 320-334 doi:10.1016/j.rse.2015.08.020
Masolele, Robert N., De Sy, Veronique, Herold, Martin, Marcos, Diego, Verbesselt, Jan, Gieseke, Fabian, Mullissa, Adugna G., Martius, Christopher (2021) Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series. Remote Sensing of Environment, 264. 112600pp. doi:10.1016/j.rse.2021.112600
Reiche, Johannes, Verhoeven, Rob, Verbesselt, Jan, Hamunyela, Eliakim, Wielaard, Niels, Herold, Martin (2018) Characterizing Tropical Forest Cover Loss Using Dense Sentinel-1 Data and Active Fire Alerts. Remote Sensing, 10 (5). doi:10.3390/rs10050777
 
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