A Satellite Based Monitoring of Spatiotemporal Changes in Batudulang Forest, Sumbawa Indonesia

IF 0.2 Q4 ENGINEERING, MULTIDISCIPLINARY Makara Journal of Technology Pub Date : 2018-10-08 DOI:10.7454/MST.V22I2.3522
M. Muslim, Arief Budhi Witarto, Wahyu Indrajaya
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Abstract

Space-based earth observation technology applicable to forest inventory and monitoring is well known in the scientific community. High-resolution satellite images form an important data source for forest mapping and change detection at regional and national scales. The value of forest change information derived from remote sensing data is significantly enhanced if this information is integrated into a spatially explicit geographic information system. Satellite-based rapid assessment was conducted to measure spatiotemporal changes in Batudulang forest over the years. The general approach to quantify change in the spatial aspect of the forest involved change detection using moderate-resolution imaging spectroradiometer satellite-based normalized difference vegetation index. A further top–down approach using high-resolution data from Google Earth was used to complement the mapping and specifically identify areas of spatial, temporal, and thematic change on a grid basis (1×1 sq. km.). Results from change detection studies revealed that the forest area changed from 287 sq. km. in 2008 to 189 sq. km. in 2016. Visual image interpretation of high-resolution Google Earth images (2001–2013) analyzed 63 grids, of which 30 showed significant change and 33 exhibited no change.
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基于卫星的印尼松巴哇巴杜都朗森林时空变化监测
适用于森林清查和监测的天基对地观测技术在科学界是众所周知的。高分辨率卫星图像是区域和国家尺度森林制图和变化探测的重要数据源。如果将遥感数据的森林变化信息与空间明确的地理信息系统相结合,其价值将得到显著提高。采用基于卫星的快速评估方法,测量了巴杜都郎森林多年来的时空变化。量化森林空间变化的一般方法包括利用基于卫星的中分辨率成像光谱辐射计的归一化植被指数进行变化检测。利用谷歌Earth的高分辨率数据,进一步采用自上而下的方法来补充制图,并在网格基础上明确确定空间、时间和主题变化区域(1×1 sq.)。公里)。变化检测研究结果显示,森林面积从287平方公里增加到287平方公里。公里。2008年为189平方公里。公里。在2016年。谷歌高分辨率地球图像的目视解译(2001-2013)分析了63个网格,其中30个网格变化显著,33个网格无变化。
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来源期刊
Makara Journal of Technology
Makara Journal of Technology ENGINEERING, MULTIDISCIPLINARY-
自引率
0.00%
发文量
13
审稿时长
20 weeks
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