Monitoring Forest Dynamics in the Andean Amazon: The Applicability of Breakpoint Detection Methods Using Landsat Time-Series and Genetic Algorithms

By Santos Fabián   Dubovyk Olena   Menz Gunter  

Remote Sensing, Vol. 9, Iss. 1, 2017-01 ,pp. : 68-68

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Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series

By Hamunyela Eliakim   Reiche Johannes   Verbesselt Jan   Herold Martin  

Remote Sensing, Vol. 9, Iss. 6, 2017-05 ,pp. : 515-515

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Estimation of Forest Aboveground Biomass in Changbai Mountain Region Using ICESat/GLAS and Landsat/TM Data

By Chi Hong   Sun Guoqing   Huang Jinliang   Li Rendong   Ren Xianyou   Ni Wenjian   Fu Anmin  

Remote Sensing, Vol. 9, Iss. 7, 2017-07 ,pp. : 707-707

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Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest Stages in a Subtropical Forest in Southern Brazil

By Sothe Camile   Almeida Cláudia Maria de   Liesenberg Veraldo   Schimalski Marcos Benedito  

Remote Sensing, Vol. 9, Iss. 8, 2017-08 ,pp. : 838-838

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Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA

By Deo Ram K.   Russell Matthew B.   Domke Grant M.   Andersen Hans-Erik   Cohen Warren B.   Woodall Christopher W.  

Remote Sensing, Vol. 9, Iss. 6, 2017-06 ,pp. : 598-598

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