Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery
文献类型: 外文期刊
作者: Dong, Jinwei 1 ; Xiao, Xiangming 1 ; Chen, Bangqian 3 ; Torbick, Nathan 4 ; Jin, Cui 1 ; Zhang, Geli 5 ; Biradar, Chan 1 ;
作者机构: 1.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
2.Univ Oklahoma, Ctr Spatial Anal, Norman, OK 73019 USA
3.Chinese Acad Trop Agr Sci, Rubber Res Inst, Danzhou 571737, Hainan, Peoples R China
4.Appl Geosolut, Durham, NH 03857 USA
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
关键词: Field Photo Library;Hainan Island;Landsat;PALSAR;Phenology;Rubber (Hevea brasiliensis) plantation
期刊名称:REMOTE SENSING OF ENVIRONMENT ( 影响因子:10.164; 五年影响因子:11.057 )
ISSN:
年卷期:
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收录情况: SCI
摘要: Due to increasing global demand for natural rubber products, rubber (Hevea brasiliensis) plantation expansion has occurred in many regions where it was originally considered unsuitable. However, accurate maps of rubber plantations are not available, which substantially constrain our understanding of the environmental and socioeconomic impacts of rubber plantation expansion. In this study we developed a simple algorithm for accurate mapping of rubber plantations in northern tropical regions, by combining a forest map derived from microwave data and unique phenological characteristics of rubber trees observed from multi-temporal Landsat imagery. Phenology of rubber trees and natural evergreen forests in Hainan Island, China, was evaluated using eighteen Landsat TM/ETM+ images between 2007 and 2012. Temporal profiles of the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Water Index (LSWI), and near-infrared (NIR) reflectance for rubber trees and natural forest were constructed. The results showed that rubber plantations are distinguishable from natural evergreen forests in two phenological phases: 1) during the defoliation (leaf-off) phase in late February-March, vegetation index (NDVI, EVI, LSWI) values were lower in rubber plantations than in natural evergreen forests; and 2) during the foliation (new leaf emergence) phase in late March-April, rubber plantations had similar NDVI and LSWI values but higher EVI and NIR reflectance values than in natural forests. Therefore, it is possible to delineate rubber plantations within forested landscapes using one to two optical images acquired in the defoliation and/or foliation period. The mapping technique was developed and applied in the Danzhou Region of Hainan. Phased Array type L-band Synthetic Aperture Radar (PALSAR) 50-m Orthorectified Mosaic images were used to generate a forest cover map and further integrated with the phenological information of rubber plantations extracted from Landsat TM images during the foliation phase. The resultant map of rubber plantations has high accuracy (both producer's and user's accuracy is 96%). This simple and integrated algorithm has the potential to improve mapping of rubber plantations at the regional scale. This study also shows the value of time series Landsat images and emphasizes imagery selection at appropriate phenological phase for land cover classification, especially for delineating deciduous vegetation.
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