Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries
Agricultural drought monitoring using European Space Agency Sentinel 3A land surface temperature and normalized difference vegetation index imageries
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使用欧洲航天局 Sentinel 3A 地表温度和归一化植被指数图像进行农业干旱监测
DOI：
10.1016/j.agrformet.2019.107707
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发表时间：
2019-12-15
影响因子：
6.2
通讯作者：
Yan, Lei
中科院分区：
文献类型：
--
作者：
Hu, Xingbang;Ren, Huazhong;Yan, Lei
农业干旱是世界范围内最具破坏性的农业灾害之一，可造成重大农业损失和水资源短缺。利用卫星图像监测农业干旱已受到越来越多的研究注意，并已在区域和全球范围内得到应用。本文首次利用欧洲航天局（ESA）发射的新型Sentinel-3A海陆面温度辐射计（SLSTR）的地表温度（LST）和辐射度产品估算内蒙古河套平原植被温度状况指数（VTCI），并将其用于农业干旱监测。本文利用不同植被生长条件下的时序MODIS LST和NDVI产品，初步分析了LST与归一化植被指数（NDVI）的相关性。研究结果表明，当地表温度与NDVI呈负相关时，VTCI只能用于温暖季节（春末和夏季）。因此，利用Sentinel-3A SLSTR LST和NDVI于2017年7 - 8月在研究区捕获VTCI图像，用于干旱调查。研究区耕地像元的平均VTCI由7月28日的0.4511上升到8月12日的0.5229，受第一期降雨影响，在8月18日下降到0.4710，表明VTCI对降雨有较及时的响应。同时，Sentinel-3A SLSTR反演的VTCI值与EOS MODIS产品反演的VTCI值在空间分布上具有较高的一致性。这些指数之间的差异在-0.1到0.1之间，特别是在耕地覆盖方面。总体而言，研究结果支持Sentinel-3A SLSTR的LST和NDVI产品在农业干旱监测中的应用。
Agricultural drought is one of most damaging agricultural hazards worldwide that can bring significant agricultural losses and water scarcity. The use of satellite images for monitoring agricultural drought has received increasing research attention and has also been applied at both the regional and global scales. In this paper, the land surface temperature (LST) and radiance products of the new Sentinel-3A SLSTR (sea and land surface temperature radiometer) launched by European Space Agency (ESA) are used for the first time for estimating the vegetation temperature condition index (VTCI), which in turn is used for monitoring agricultural drought in the Hetao Plain of Inner Mongolia, China. This paper initially analyzes the correlation between LST and normalized difference vegetation index (NDVI) by using time series time MODIS LST and NDVI products under different vegetation growth conditions. The findings reveal that VTCI can only be used in warm seasons (late spring and summer periods) when negative correlations between LST and NDVI are observed. Therefore, VTCI images are captured in the study area between July and August 2017 by using Sentinel-3A SLSTR LST and NDVI and are utilized for drought investigation. These images reveal that the average VTCI of the cultivated land pixels in the study area has increased from 0.4511 on July 28 to 0.5229 on August 12 before declining to 0.4710 on August 18 due to the rainfall in the first period, thereby indicating that VTCI has a timely response to rainfall. Meanwhile, cross-comparison of VTCI values from Sentinel-3A SLSTR shows high consistency in terms of spatial distribution with that estimated from EOS MODIS products. The difference between these indices ranged from -0.1 to 0.1 for most points, especially in the cultivated land cover. Overall, the findings support the use of the LST and NDVI products of Sentinel-3A SLSTR in monitoring agricultural drought.