Status of Phenological Research Using Sentinel-2 Data: A Review
Status of Phenological Research Using Sentinel-2 Data: A Review
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DOI：
10.3390/rs12172760
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发表时间：
2020-08
期刊：
影响因子：
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通讯作者：
G. Misra;F. Cawkwell;A. Wingler
中科院分区：
文献类型：
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作者：
G. Misra;F. Cawkwell;A. Wingler
在过去二十年中，植物物候遥感作为气候变化的指标和土地覆盖制图已经引起了重大的科学兴趣。春季事件的提前、生长季节的延长、林木线的移动、对增温敏感性的降低以及春季在海拔上的均匀性是物候变化趋势的重要指标。2015年6月(A)和2017年3月(B)发射的Sentinel-2卫星传感器具有高时间频率和空间分辨率，可用于改进土地测绘任务，在过去三年中对植被知识做出了重大贡献。然而，尽管Sentinel-2多光谱仪器提供了额外的红边和短波红外波段，并提高了植被物种检测能力，但关于它们对植被覆盖及其物候的跟踪效果的研究很少。例如，在大约四篇分析Sentinel-2图像的归一化植被指数（NDVI）或增强植被指数（EVI）的论文中，只有一篇提到了SWIR或红边波段。尽管Sentinel-2平台投入使用的时间很短，但它们已经证明了自己在作物、森林、天然草原和其他植被地区的广泛物候研究方面的潜力，特别是通过将数据与其他传感器（例如Sentinel-1、Landsat和MODIS）的数据融合。本文综述了基于Sentinel-2前5年植被物候研究的现状、优势、局限性以及未来发展方向。
Remote sensing of plant phenology as an indicator of climate change and for mapping land cover has received significant scientific interest in the past two decades. The advancing of spring events, the lengthening of the growing season, the shifting of tree lines, the decreasing sensitivity to warming and the uniformity of spring across elevations are a few of the important indicators of trends in phenology. The Sentinel-2 satellite sensors launched in June 2015 (A) and March 2017 (B), with their high temporal frequency and spatial resolution for improved land mapping missions, have contributed significantly to knowledge on vegetation over the last three years. However, despite the additional red-edge and short wave infra-red (SWIR) bands available on the Sentinel-2 multispectral instruments, with improved vegetation species detection capabilities, there has been very little research on their efficacy to track vegetation cover and its phenology. For example, out of approximately every four papers that analyse normalised difference vegetation index (NDVI) or enhanced vegetation index (EVI) derived from Sentinel-2 imagery, only one mentions either SWIR or the red-edge bands. Despite the short duration that the Sentinel-2 platforms have been operational, they have proved their potential in a wide range of phenological studies of crops, forests, natural grasslands, and other vegetated areas, and in particular through fusion of the data with those from other sensors, e.g., Sentinel-1, Landsat and MODIS. This review paper discusses the current state of vegetation phenology studies based on the first five years of Sentinel-2, their advantages, limitations, and the scope for future developments.