Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/aa838c |
Comparing MODIS and near-surface vegetation indexes for monitoring tropical dry forest phenology along a successional gradient using optical phenology towers | |
Rankine, C.1; Sanchez-Azofeifa, G. A.1; Antonio Guzman, J.1; Espirito-Santo, M. M.2; Sharp, Iain1 | |
2017-10-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS
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ISSN | 1748-9326 |
出版年 | 2017 |
卷号 | 12期号:10 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada; Brazil |
英文摘要 | Tropical dry forests (TDFs) present strong seasonal greenness signals ideal for tracking phenology and primary productivity using remote sensing techniques. The tightly synchronized relationship these ecosystems have with water availability offer a valuable natural experiment for observing the complex interactions between the atmosphere and the biosphere in the tropics. To investigate how well the MODIS vegetation indices (normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI)) represented the phenology of different successional stages of naturally regenerating TDFs, within a widely conserved forest fragment in the semi-arid southeast of Brazil, we installed several canopy towers with radiometric sensors to produce high temporal resolution near-surface vegetation greenness indices. Direct comparison of several years of ground measurements with a combined Aqua/Terra 8 day satellite product showed similar broad temporal trends, but MODIS often suffered from cloud contamination during the onset of the growing season and occasionally during the peak growing season. The strength of the in-situ and MODIS linear relationship was greater for NDVI than for EVI across sites but varied with forest stand age. Furthermore, we describe the onset dates and duration of canopy development phases for three years of in-situ monitoring. A seasonality analysis revealed significant discrepancies between tower and MODIS phenology transitions dates, with up to five weeks differences in growing season length estimation. Our results indicate that 8 and 16 day MODIS satellite vegetation monitoring products are suitable for tracking general patterns of tropical dry forest phenology in this region but are not temporally sufficient to characterize inter-annual differences in phenology phase onset dates or changes in productivity due to mid-season droughts. Such rapid transitions in canopy greenness are important indicators of climate change sensitivity of these already endangered forest ecosystems and should be further monitored using both ground and satellite approaches. |
英文关键词 | phenology dry forests MODIS succession ground truth time series global change biology |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000412835100001 |
WOS关键词 | BIDIRECTIONAL REFLECTANCE ; RESEARCH PRIORITIES ; EVERGREEN FORESTS ; SPRING PHENOLOGY ; CANOPY ; NDVI ; DYNAMICS ; SOLAR ; TREE |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/37589 |
专题 | 气候变化 |
作者单位 | 1.Univ Alberta, Dept Earth & Atmospher Sci, Ctr Earth Observat Sci, Edmonton, AB T6G 2E3, Canada; 2.Univ Fed Minas Gerais, Dept Biol Geral, BR-30161970 Belo Horizonte, MG, Brazil |
推荐引用方式 GB/T 7714 | Rankine, C.,Sanchez-Azofeifa, G. A.,Antonio Guzman, J.,et al. Comparing MODIS and near-surface vegetation indexes for monitoring tropical dry forest phenology along a successional gradient using optical phenology towers[J]. ENVIRONMENTAL RESEARCH LETTERS,2017,12(10). |
APA | Rankine, C.,Sanchez-Azofeifa, G. A.,Antonio Guzman, J.,Espirito-Santo, M. M.,&Sharp, Iain.(2017).Comparing MODIS and near-surface vegetation indexes for monitoring tropical dry forest phenology along a successional gradient using optical phenology towers.ENVIRONMENTAL RESEARCH LETTERS,12(10). |
MLA | Rankine, C.,et al."Comparing MODIS and near-surface vegetation indexes for monitoring tropical dry forest phenology along a successional gradient using optical phenology towers".ENVIRONMENTAL RESEARCH LETTERS 12.10(2017). |
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