Remote Sens., Volume 12, Issue 6 (March-2 2020) – 152 articles
Cover Story (view full-size image): Global decametric-resolution leaf area index (LAI), fraction of absorbed photosynthetically active radiation (FAPAR), and fractional vegetation cover (FVC) products derived from Sentinel-2 images have been available and emerged as a promising dataset for fine-scale ecosystem modeling. To better understand the performance of these products, they were carefully evaluated using global ground measurements. LAI and FAPAR estimates are similar in the rate of best retrievals, but both are lower than FVC estimates. The time-series LAI, FAPAR, and FVC estimates can largely capture the seasonal trajectory of vegetation. The good performance of FAPAR and FVC estimates indicates their great potential in various applications, while the accuracy of LAI estimates can be further improved by refining the retrieval algorithm.View this paper.
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