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Spatiotemporal Patterns of Land Surface Temperature Change in the Tibetan Plateau Based on MODIS/Terra Daily Product From 2000 to 2018
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ( IF 4.7 ) Pub Date : 2021-06-16 , DOI: 10.1109/jstars.2021.3089851
Mengjiao Yang 1 , Wei Zhao 1 , Qiqi Zhan 1 , Donghong Xiong 1
Affiliation  

Under the background of climate change, the Tibetan Plateau presents high spatial and temporal variability in land surface temperature (LST). To understand the spatiotemporal patterns of LST change, this article conducted a spatiotemporal analysis using the Mann–Kendall trend analysis method with time series of mean annual surface temperature extracted from the moderate resolution imaging spectroradiometer/Terra daily LST product from 2000 to 2018. The analysis indicated that both daytime and nighttime MASTs show an obvious warming trend with the average rates of 0.028 K/year and 0.069 K/year, and the nighttime variation has larger spatial coverage. Areas ranging from 4500 to 5000 m exhibited the strongest warming effect. The geodetector method was applied to detect the impacts from seven factors, including elevation, land cover type, latitude, normalized difference vegetation index (NDVI), precipitation, air temperature, and solar radiation on the spatial distribution of LST. The controlling effects of these factors were generally stronger in the nighttime than those in the daytime, and elevation was the most important factor with the contribution scores of 27.12% and 62.98% in the daytime and nighttime, respectively. In addition, the analysis revealed that the temporal changes of LST were mainly caused by surface properties (vegetation, snow cover, and water surface area) changes, radiant flux changes induced by cloud amount changes, and climate warming. In general, this article provides important insights into the spatiotemporal dynamics of LST in the TP since 2000 and helps to reveal the impact of climate change on ecoenvironmental conservation.

中文翻译:


基于MODIS/Terra Daily产品的2000-2018年青藏高原地表温度变化时空格局



气候变化背景下,青藏高原地表温度(LST)呈现出较强的时空变异性。为了了解LST变化的时空格局,本文采用Mann-Kendall趋势分析方法,对中分辨率成像光谱仪/Terra日LST产品中提取的2000年至2018年年平均地表温度时间序列进行了时空分析。结果表明,白天和夜间MAST均表现出明显的增温趋势,平均升温速率分别为0.028 K/年和0.069 K/年,且夜间变化具有较大的空间覆盖范围。海拔4500~5000米的地区增温效应最强。采用地理探测器方法检测了海拔、土地覆盖类型、纬度、归一化植被指数(NDVI)、降水量、气温、太阳辐射等7个因素对地表温度空间分布的影响。这些因素的控制作用总体上夜间强于白天,其中海拔是最重要的影响因素,白天和夜间的贡献分值分别为27.12%和62.98%。此外,分析表明,地表温度随时间的变化主要是由地表属性(植被、积雪、水面面积)变化、云量变化引起的辐射通量变化以及气候变暖等因素引起的。总体而言,本文对2000年以来青藏高原地表温度的时空动态变化提供了重要的见解,有助于揭示气候变化对生态环境保护的影响。
更新日期:2021-06-16
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