利用热成像和植被指数将城市地表温度与植被落叶联系起来

IF 2.7 4区 地球科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Earth Science Informatics Pub Date : 2024-08-20 DOI:10.1007/s12145-024-01443-y
C. Munyati
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引用次数: 0

摘要

由于温度会影响多个生态系统过程,因此检测温度对城市植被的影响有助于规划城市生物多样性保护工作。在这项研究中,我们考察了一个气候炎热城镇的原生热带草原林地和草地地块的地表温度(LST)与植被物候事件(生长季节开始,SOS;生长季节结束,EOS;物候高峰)之间的关系。为了进行比较,还使用了该镇周边类似的林地和草地地块以及一块湿地。一个日历年(2023 年)的植被地块 LST 值(°C)来自 Landsat-8(L8)和 Landsat-9(L9)热图像,其组合产生了 8 天的图像频率。利用随附的 30 米分辨率 L8-L9 非热波段计算的植被指数(VI)值,确定相对于季节性气温和 LST 的物候变化:归一化差异植被指数(NDVI)和一种改进的植被指数,即土壤调整植被指数(SAVI)。成像频率较高、分辨率为 250 米的归一化差异植被指数(NDVI)和增强植被指数(EVI)MOD13Q1 图层对 L8-L9VIs 进行了补充。LST 与气温高度相关(p < 0.001)。在几乎所有的 L8-L9 图像日期,城市植被地块的平均 LST 都高于其城市周边等同地块(p < 0.001)。改进的植被指数(SAVI、EVI)检测到的一些物候事件比 NDVI 检测到的稍早。与较高的 LST 相关联,城市林地的 SOS 早于城郊林地。这种关联很少在热带稀树草原植被中得到证实,因此有必要积极努力减少潜在的生物多样性影响。
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Relating Urban Land Surface Temperature to Vegetation Leafing using Thermal Imagery and Vegetation Indices

Detecting the influence of temperature on urban vegetation is useful for planning urban biodiversity conservation efforts, since temperature affects several ecosystem processes. In this study, the relationships between land surface temperature (LST) and vegetation phenology events (start of growing season, SOS; end of growing season, EOS; peak phenology) was examined in native savannah woodland and grass parcels of a hot climate town. For comparison, similar woodland and grass parcels on the town’s periphery, and a wetland, were used. The vegetation parcel LST values (°C) in one calendar year (2023) were obtained from Landsat-8 (L8) and Landsat-9 (L9) thermal imagery, whose combination yielded an 8-day image frequency. Phenology changes relative to seasonal air temperature and LST were determined using vegetation index (VI) values computed from accompanying 30 m resolution L8-L9 non-thermal bands: the Normalised Difference Vegetation Index (NDVI) and one improved VI, the Soil Adjusted Vegetation Index (SAVI). Higher imaging frequency, 250 m resolution NDVI and Enhanced Vegetation Index (EVI) MOD13Q1 layers supplemented the L8-L9 VIs. LST correlated highly with air temperature (p < 0.001). On nearly all L8-L9 image dates, the urban vegetation parcel’s mean LST was higher (p < 0.001) than that at its peri-urban equivalent. Improved VIs (SAVI, EVI) detected some phenology events to have occurred slightly earlier than detected by the NDVI. Associated with the higher LST, the SOS was earlier in the urban than in the peri-urban woodland. This association has scarcely been demonstrated in savannah vegetation, necessitating proactive efforts to reduce potential biodiversity effects.

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来源期刊
Earth Science Informatics
Earth Science Informatics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
4.60
自引率
3.60%
发文量
157
审稿时长
4.3 months
期刊介绍: The Earth Science Informatics [ESIN] journal aims at rapid publication of high-quality, current, cutting-edge, and provocative scientific work in the area of Earth Science Informatics as it relates to Earth systems science and space science. This includes articles on the application of formal and computational methods, computational Earth science, spatial and temporal analyses, and all aspects of computer applications to the acquisition, storage, processing, interchange, and visualization of data and information about the materials, properties, processes, features, and phenomena that occur at all scales and locations in the Earth system’s five components (atmosphere, hydrosphere, geosphere, biosphere, cryosphere) and in space (see "About this journal" for more detail). The quarterly journal publishes research, methodology, and software articles, as well as editorials, comments, and book and software reviews. Review articles of relevant findings, topics, and methodologies are also considered.
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