Lück-Vogel, MelanieStrohbach, M2009-09-102009-09-102009-07Vogel, M and Strohbach, M. 2009. Monitoring of Savanna degradation in Namibia using landsat TM/ETM+ data. International Geosciences and Remote Sensing (IGARSS) Cape Town, South Africa, 13-17 July, 2009. pp 1-2http://hdl.handle.net/10204/3574International Geosciences and Remote Sensing (IGARSS) Cape Town, South Africa, 13-17 July, 2009Detection and quantification of degradation processes as a first step for understanding and development of prevention and mitigation actions is of international interest as the described processes are observed in semi-arid landscapes globally. However, the accurate assessment of savanna degradation using remote sensing techniques has turned out difficult, as the described processes are frequently overlaid by ecosystem-inherent variability in response to the usually highly variable rain falls (Wessels et al. 2007). Furthermore, local vegetation decrease frequently turns out to be a result of recent livestock grazing impact at the time of image acquisition, rather then true vegetation degradation. In the presented work, researchers aimed to develop a bitemporal change detection approach that takes into account these difficulties. The test site was a landscape mosaic of different types of thorn bush savanna in central Namibia. Using a set of 7 Landsat TM and ETM+ images covering the study area in +/- 5 year intervals from 1984 - 2003, researchers developed a spectral decision tree classificator sensitive to increase or decrease independent from the vegetation type.enSavannaNamibiaDegradationLandsat TM/ETM+Remote sensingChange detectionIGARSSGeosciencesSemi-arid landscapesEcosystemVegetationBitemporal change detectionMonitoring of Savanna degradation in Namibia using landsat TM/ETM+ dataConference PresentationLück-Vogel, M., & Strohbach, M. (2009). Monitoring of Savanna degradation in Namibia using landsat TM/ETM+ data. International Geosciences and Remote Sensing. http://hdl.handle.net/10204/3574Lück-Vogel, Melanie, and M Strohbach. "Monitoring of Savanna degradation in Namibia using landsat TM/ETM+ data." (2009): http://hdl.handle.net/10204/3574Lück-Vogel M, Strohbach M, Monitoring of Savanna degradation in Namibia using landsat TM/ETM+ data; International Geosciences and Remote Sensing; 2009. http://hdl.handle.net/10204/3574 .TY - Conference Presentation AU - Lück-Vogel, Melanie AU - Strohbach, M AB - Detection and quantification of degradation processes as a first step for understanding and development of prevention and mitigation actions is of international interest as the described processes are observed in semi-arid landscapes globally. However, the accurate assessment of savanna degradation using remote sensing techniques has turned out difficult, as the described processes are frequently overlaid by ecosystem-inherent variability in response to the usually highly variable rain falls (Wessels et al. 2007). Furthermore, local vegetation decrease frequently turns out to be a result of recent livestock grazing impact at the time of image acquisition, rather then true vegetation degradation. In the presented work, researchers aimed to develop a bitemporal change detection approach that takes into account these difficulties. The test site was a landscape mosaic of different types of thorn bush savanna in central Namibia. Using a set of 7 Landsat TM and ETM+ images covering the study area in +/- 5 year intervals from 1984 - 2003, researchers developed a spectral decision tree classificator sensitive to increase or decrease independent from the vegetation type. DA - 2009-07 DB - ResearchSpace DP - CSIR KW - Savanna KW - Namibia KW - Degradation KW - Landsat TM/ETM+ KW - Remote sensing KW - Change detection KW - IGARSS KW - Geosciences KW - Semi-arid landscapes KW - Ecosystem KW - Vegetation KW - Bitemporal change detection LK - https://researchspace.csir.co.za PY - 2009 T1 - Monitoring of Savanna degradation in Namibia using landsat TM/ETM+ data TI - Monitoring of Savanna degradation in Namibia using landsat TM/ETM+ data UR - http://hdl.handle.net/10204/3574 ER -