B51L-02
Changes in rubber plantation in the cross-border area of mainland Southeast Asia through analysis of PALSAR and time series Landsat images
Friday, 18 December 2015: 08:15
2006 (Moscone West)
Jinwei Dong1, Xiangming Xiao1, Yuanwei Qin1, Bangqian Chen2, Weili Kou3, Deli Zhai4, Geli Zhang5, Yao Zhang1, Yuting Zhou1 and Jie Wang1, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)Organization Not Listed, Washington, DC, United States, (3)University of Oklahoma, Norman, OK, United States, (4)Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China, (5)University of Oklahoma, Center for Spatial Analysis, Norman, OK, United States
Abstract:
With the increasing demand of natural rubber products in the world market, rubber plantations have dramatically expanded into northern areas of tropical and subtropical zones in Southeast Asia, which have been affecting ecosystem services and human wellbeing. In the cross-border area of five countries (China, Vietnam, Laos, Thailand, and Myanmar), the rubber plantation dynamics varied substantially due to the differences in socioeconomic conditions from local to national scales. However, no spatially explicit information available for this region due to very limited efforts in research and monitoring. Our previous studies have proposed a phenology- and multisensor-based approach to map rubber plantation according to its deciduous feature; however, it is still uncertain that whether the approach can be used for the cross-border area. In this study, we aim to assess the potential of the previous algorithm in the study area by integrating a base forest map from 25-m phase-array L-band synthetic aperture radar (PALSAR) orthorectified mosaic imagery and defoliation information from all the available 30-m Landsat archive imagery. Furthermore, we would compare the changes in the rubber plantation pattern in the five countries from 2007 to 2014. The rubber plantation dynamics in individual countries will be analyzed by considering policies and other factors in different countries. The study would provide valuable information for a broad scientific community (e.g., carbon cycle, biodiversity) and forest management departments.