Assessing the Link between Human Modification and Changes in Land Surface Temperature in Hainan, China Using Image Archives from Google Earth Engine
Assessing the Link between Human Modification and Changes in Land Surface Temperature in Hainan, China Using Image Archives from Google Earth Engine
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DOI：
10.3390/rs12050888
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发表时间：
2020-03-01
期刊：
影响因子：
5
通讯作者：
Blaschke, Thomas
中科院分区：
文献类型：
--
作者：
Chu, Lixia;Oloo, Francis;Blaschke, Thomas
在世界许多地区，人口增长和土地开发增加了对土地和其他自然资源的需求。沿海地区特别容易受到影响，因为它们有利于海洋运输、能源生产、水产养殖、海洋旅游和其他活动。沿海地区的人为活动引发了前所未有的土地使用变化、沿海湿地枯竭、生物多样性丧失以及其他重要生态系统服务的退化。对于生物多样性丰富的沿海小岛屿来说，变化可能特别剧烈。以海南岛为例，研究了人类活动对陆面温度的影响。我们假设，对于这个岛屿，人类活动的足迹与地表温度的变化，这可能表明环境退化。为了验证这一假设，我们估计了2000年至2016年之间的LST变化，并计算了LST与人类改造之间的时空相关性。具体而言，我们根据各自的平均值和标准差值将2000年，2006年，2012年和2016年四年的温度数据分为5个温度区。然后，我们评估了每个温度区与2016年计算的人类改造指数之间的相关性。除此之外，我们还估计了17年来每个像素年温度的平均值、最大值和标准差，以评估与人类改造的联系。结果表明：（1）2000 - 2016年海南岛平均地表温度呈波动上升趋势。(2)在本研究所包括的四年中，中温区在岛上占主导地位。(3)人类改造指数与平均和最高LST温度之间的强正相关性为0.72，表明在17年的分析中，人类改造与平均和最高LST温度之间存在潜在联系。(4)2016年各温度区人体改造指数均值呈递增趋势，低温区为0.24，中温区为0.33，中温区为0.45，中高温区为0.54，高温区为0.61。这项工作突出了利用云平台上的大型多时相地球观测数据集评估人类活动对敏感生态系统影响的潜在价值。研究结果有助于制定可持续管理和沿海生态系统保护计划。
In many areas of the world, population growth and land development have increased demand for land and other natural resources. Coastal areas are particularly susceptible since they are conducive for marine transportation, energy production, aquaculture, marine tourism and other activities. Anthropogenic activities in the coastal areas have triggered unprecedented land use change, depletion of coastal wetlands, loss of biodiversity, and degradation of other vital ecosystem services. The changes can be particularly drastic for small coastal islands with rich biodiversity. In this study, the influence of human modification on land surface temperature (LST) for the coastal island Hainan in Southern China was investigated. We hypothesize that for this island, footprints of human activities are linked to the variation of land surface temperature, which could indicate environmental degradation. To test this hypothesis, we estimated LST changes between 2000 and 2016 and computed the spatio-temporal correlation between LST and human modification. Specifically, we classified temperature data for the four years 2000, 2006, 2012 and 2016 into 5 temperature zones based on their respective mean and standard deviation values. We then assessed the correlation between each temperature zone and a human modification index computed for the year 2016. Apart from this, we estimated mean, maximum and the standard deviation of annual temperature for each pixel in the 17 years to assess the links with human modification. The results showed that: (1) The mean LST temperature in Hainan Island increased with fluctuations from 2000 to 2016. (2) The moderate temperature zones were dominant in the island during the four years included in this study. (3) A strong positive correlation of 0.72 between human modification index and mean and maximum LST temperature indicated a potential link between human modification and mean and maximum LST temperatures over the 17 years of analysis. (4) The mean value of human modification index in the temperature zones in 2016 showed a progressive rise with 0.24 in the low temperature zone, 0.33 in the secondary moderate, 0.45 in the moderate, 0.54 in the secondary high and 0.61 in the high temperature zones. This work highlighted the potential value of using large and multi-temporal earth observation datasets from cloud platforms to assess the influence of human activities in sensitive ecosystems. The results could contribute to the development of sustainable management and coastal ecosystems conservation plans.