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Time-series analysis of satellite imagery for detecting vegetation cover changes in Indonesia

AbstractIndonesia has one of the world’s largest tropical forests; thus, its deforestation and environmental degradation are a global concern. This study is the first to perform comprehensive big data analyses with coherent vegetation criteria to measure the vegetation change at a high temporal resolution (every 16-day period) for 20 years and the high administrative resolution (regency or city) all over Indonesia. The normalized difference vegetation index (NDVI) of the Moderate Resolution Imaging Spectroradiometer is analyzed through state space modeling. The findings reveal that the NDVI increases in almost all regencies, except in urban areas. A high correlation between the NDVI change and the time is observed in Sumatra, Papua, and Kalimantan. The gain of the NDVI values is obvious in the Central and Eastern Java Island. Human activities, such as the expansion of agriculture and forestry and forest conservation policies, are the key factors for the observed pattern.
- University of the Ryukyus Japan
- Kyoto University Japan
- University of North Sumatra Indonesia
- University of Tokyo Japan
- University of North Sumatra Indonesia
Satellite Imagery, Science, Q, R, Forests, Article, Environmental impact, Sustainability, Indonesia, Research Design, Medicine, Humans, Environmental Monitoring
Satellite Imagery, Science, Q, R, Forests, Article, Environmental impact, Sustainability, Indonesia, Research Design, Medicine, Humans, Environmental Monitoring
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
