会议论文详细信息
3rd International Conference of Indonesia Society for Remote Sensing
Identification of Tropical Peatland Using ALOS 2 Palsar
地球科学;计算机科学
Marpaung, F.^1 ; Putiamini, S.^1 ; Fernando, D.^1 ; Avianti, E.^1 ; Priyadi, H.^1 ; Darmawan, A.^1
Agency for the Assessment and Application of Technology (BPPT), Jakarta
10340, Indonesia^1
关键词: Climate change , deforestations;    Ecosystem respiration;    Land-cover types;    Large scale fires;    Peat swamp forests;    Peatland ecosystems;    Polarimetric SAR;    Spatial variations;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/165/1/012014/pdf
DOI  :  10.1088/1755-1315/165/1/012014
学科分类:计算机科学(综合)
来源: IOP
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【 摘 要 】

In Indonesia, a huge amount of peat has accumulated under peat swamp forest over millennia. However, a repeatable large-scale fire as a result of land clearing has rapidly devastated these tropical peatlands. These disturbances (e.g. climate change, deforestation, peatland drainage, forest and peatland fires, and land conversion) change the ecosystem respiration and resulting a high carbon emitted to the atmosphere. To restore the peatland ecosystem, Indonesia government makes a special force by using three activities, namely rewetting, replantation, and communal empowerment. These activities need an accurate peatland monitoring. However, accessing the spatial variation of the peatland is quite limited, difficult and laborious. Therefore, we investigated the existence of tropical peatland in Siak, Riau Province, Indonesia. We measured soil moisture at four different types of land cover (namely; forest, oil palm, shrubs, and agriculture) a long with two types of peat conditions. We estimated the Constanta Dielectric (∈) values obtained from a fully polarimetry for ALOS 2/ PALSAR. Results indicated that the ∈ of oil palm was lower in non-peat area than in peat area, whereas the decrease in ∈ probably in peat area resulted from the rapid growth of oil palm.

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