基于ALOS AVNIR-2数据的退化热带泥炭地识别与季节分析

Dandy Aditya Novresiandi , Ryota Nagasawa
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引用次数: 0

摘要

热带泥炭地正在遭受经济迅速发展的后果,而没有考虑到可持续管理做法的重要性。热带泥炭地的可持续管理是控制碳排放的重要因素。然而,现有的热带泥炭地信息缺乏准确性和过时,特别是在中、高分辨率方面。因此,发展可靠的监测技术是朝着可持续管理热带泥炭地迈出的重要一步。遥感(RS)应用适合作为监测热带泥炭地的工具,而直接测量通常是劳动密集型的,耗时且可及性有限。基于先进陆地观测卫星(ALOS)先进可见光和近红外辐射计2型(AVNIR-2)数据,利用mcfeters归一化差水指数(mcfeters - ndwi)建立了退化热带泥炭地的识别方法。此外,从光学RS的中高分辨率角度对热带泥炭地退化的季节特征进行了分析,发现湿灌木类被认为是热带泥炭地退化的区域,其McFeeters-NDWI值介于-0.43 ~ -0.11之间。湿灌木类的生产者准确率为80.6%,使用者准确率为91.8%。随后,发现季节变化使识别退化热带泥炭地的阈值(TrVs)略有变化,幅度可达-0.05。而湿灌木类的trv间隔则保持稳定不变。
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Identification and Seasonal Analysis of Degraded Tropical Peatland by Using ALOS AVNIR-2 Data

Tropical peatlands are being subjected to the consequences of rapid economic development without any consideration of the importance of sustainable management practices. Sustainable management of tropical peatlands is an important element in controlling carbon emission. However, the available information of tropical peatlands lacks of accuracy and is outdated, especially in terms of medium to high resolution. Thus, development of reliable monitoring techniques is a significant step towards the sustainable management of tropical peatlands. The remote sensing (RS) application is suitable as a tool to monitor tropical peatlands, whereas direct measurements are generally labor-intensive, time-consuming and limited to accessibility. In this study, methodology to identify degraded tropical peatland was developed by using the McFeeters Normalized Difference Water Index (McFeeters-NDWI), which was derived by Advanced Land Observing Satellite (ALOS) Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2) data. Additionally, a seasonal analysis was carried out to examine the characteristics of degraded tropical peatland during the rainy and dry seasons from the viewpoint of the medium to high resolution of optical RS. Overall, a relationship was discovered such that the wet shrub class was considered as the degraded tropical peatland area, and was identified as being in between -0.43 to -0.11 of the McFeeters-NDWI value. The wet-shrub class yielded a producer's accuracy of 80.6% and a user's accuracy of 91.8%. Afterwards, the seasonal change was discovered to slightly shift the threshold values (TrVs) in the identification of degraded tropical peatland by as much as -0.05. However, the interval of the TrVs for the wet shrub class was stable and remained unchanged.

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