Usability of noise-free daily satellite-observed green–red vegetation index values for monitoring ecosystem changes in Borneo
Usability of noise-free daily satellite-observed green–red vegetation index values for monitoring ecosystem changes in Borneo
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DOI:
10.1080/01431161.2014.978039
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发表时间:
2014-12
影响因子:
3.4
通讯作者:
S. Nagai;R. Ishii;A. Suhaili;Hideki Kobayashi;M. Matsuoka;T. Ichie;T. Motohka;J. J. Kendawang-J.;R. Suzuki
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文献类型:
--
作者:
S. Nagai;R. Ishii;A. Suhaili;Hideki Kobayashi;M. Matsuoka;T. Ichie;T. Motohka;J. J. Kendawang-J.;R. Suzuki
We examined the usability of daily green–red vegetation index (GRVI) observations from the Terra and Aqua Moderate Resolution Imaging Spectroradiometer satellite on cloud-free days for monitoring ecosystem changes in Bornean tropical forests at a 500 m spatial resolution over 11 years (2003–2013). The number of observational days of cloud-free GRVI data in the southwest monsoon period (May–October; 1–5 days/month) was greater than that in the northeast monsoon period (November–April; 0–2 days/month). Spatial variation in the observation frequency was noticed, with Terra (morning) and Aqua (afternoon) data showing different geographic distribution patterns of cloud-free data. The observation frequency in the western Kalimantan mountains (Sarawak and Sabah) was 1–2 days/month greater than that in the eastern mountains (Kalimantan). The quality of cloud-free GRVI data was validated by using sky images taken at the same time as the satellite observations and canopy surface images in a tropical rainforest. In oil palm and acacia plantations and peatlands, which were mainly distributed in coastal regions of Sarawak and West and Central Kalimantan, the cloud-free daily GRVI value fell below zero owing to deforestation and forest degradation caused by forest fire and increased with replanting and vegetation recovery. These results indicate that daily cloud-free GRVI data from multiple satellites collected at different times of the day are required for accurate monitoring of intra- and interannual phenological variation and forest degradation attributed to changes in climatic conditions and deforestation caused by human activities in tropical ecosystems.