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1.
杭州湾南岸城市群热岛效应研究 总被引：1，自引：0，他引：1
以杭州湾南岸城市群为研究区,选取1990、2000和2011年3期Landsat-5 TM遥感影像进行地表温度反演,并采用密度分割法对反演的地表温度影像进行等级划分,对比分析各个时期地表温度分布的空间规律。再提取研究区山地以外的平坦区域,对前后不同时期的地表温度做差值运算,分析地表温度随时间的升降变化。最后提取研究区内的城市建成区,通过计算各时期的热岛比例指数来分析各城市热岛强度的变化情况。 相似文献
2.
基于MODIS NDVI的科尔沁沙地荒漠化动态监测 总被引：4，自引：0，他引：4
以MODIS植被指数产品为数据源,利用归一化植被指数(NDVI)与植被盖度的高相关性,以NDVI为荒漠化评价的定量依据进行荒漠化程度划分,得出科尔沁沙地2000年与2007年的NDVI分级分布图,并分别统计出相应的不同程度荒漠化土地面积所占比例; 最后,利用不同等级荒漠化土地面积所占比例和NDVI分级分布图所提供的空间分配状况来评价研究区荒漠化程度及动态变化状况.研究结果表明,2000年至2007年科尔沁沙地荒漠化程度总体上呈减少趋势. 相似文献
3.
首先基于北京市2013—2020年Landsat-8卫星遥感影像,使用TIRS10＿SC算法反演北京市地表温度;其次,对温度反演结果进行归一化处理,进行热岛等级划分,并计算热岛强度指数;最后,结合土地利用类型数据,分析土地利用类型覆盖面积变化对城市热岛强度的影响。结果表明：1)2013—2020年北京市的城市热岛效应呈现出先上升后下降的趋势,2015年城市热岛效应现象最明显;2)2013—2020年裸土地变化程度最大,其中有40.060%的裸土转变为植被,24.988%的裸土转变为建设用地;3)出现次热岛和强热岛现象的区域地表覆盖类型主要是建设用地和裸土,出现绿岛和冷岛的区域地表覆盖类型主要是植被和水体,并且在相同面积占比情况下,水体缓解热岛效应的效果更加明显。 相似文献
4.
城市热环境是反映城市环境状况的一个重要指标,本研究基于济南市快速城市化时期的Landsat-8遥感影像,利用遥感图像处理软件IDL8.5反演2016年济南市的地表温度(LST),得到济南市地表温度空间分布格局;并利用NPP-VIIRS夜间灯光数据提取济南市主要建成区范围及郊区范围,同时利用MODIS 8天温度产品,根据城郊温差法计算得到济南市主要建成区热岛强度信息,探究热岛强度的月及季节变化规律。研究发现白天热岛强度变化规律比较明显,夜间热岛强度比较稳定。同时,利用2016年谷歌影像提取济南市地表水体的分布数据,并采用剖面取样的方法在地表温度分布图上做出样点与其对应地表温度的分布曲线,研究发现水体和绿化植被的存在能显著地减缓城市热岛效应。 相似文献
5.
以河南省为研究区,利用2000—2018年夜间灯光数据、NDVI数据和VANUI数据提取城市建成区.在建成区面积和灯光强度两个方面的变化进行论述,利用景观指数对河南省城市景观进行定量分析,采用主成分分析法对河南省建成区扩张驱动力进行分析.结果表明,河南省建成区面积从1937 km2增加到5155 km2;灯光强度从75... 相似文献
6.
基于MODIS的2001年—2012年北京热岛足迹及容量动态监测 总被引：7，自引：1，他引：6
利用2001年—2012年MODIS分裂窗算法反演得到的1 km分辨率地表温度产品分析了北京城市热岛效应。首先计算北京2001年—2012年地表温度年平均值,其次利用半径法确定热岛足迹并计算热岛容量。结论如下:(1)热岛足迹及热岛容量昼夜差异明显,2012年白天热岛足迹是夜间的1.5倍,这是由于城市下垫面热特性差异及人为活动的综合影响。(2)2001年—2012年北京城市高温区在空间上向南北扩展,热岛足迹和热岛容量呈阶段性增长。2010年白天热岛足迹最大,半径为28 km,面积是2001年的2.4倍。当热岛足迹相同时,城市绿地和水体功能区的分布和布局方式等因素能够影响热岛容量。城市建设用地和农村居民点对城市热环境贡献率明显高于其他土地利用类型。当建设用地面积比例超过50%时,区域会产生显著的热岛现象。(3)根据北京热岛足迹及容量时空动态变化特征,提出改善城市热岛的措施。 相似文献
7.
选取中等城市——四川省绵阳市为研究对象,以2000年(代表秋季)、2001年(代表春季)TM/ETM+遥感影像为数据源。在基于影像算法反演地表温度的基础上,对研究区春、秋两季热场剖面、建成区范围内热力景观斑块和城市热岛效应进行研究。结果表明:(1)无论春季还是秋季,地表温度高低与下垫面性质具有较大相关性,水体和植被覆盖较好的区域呈现低温,而水泥、沥青等不透水面温度较高;(2)秋季相对春季而言,温度相对较高的热力景观类型面积减少,而温度较低的热力景观类型面积增加。分析热力景观异质性指数发现,优势度指数值春季大于秋季,说明春季存在较明显的优势斑块;(3)运用城乡平均温度对比法和热岛面积指数法,计算春季热岛强度值为1.77℃,秋季热岛强度值为0.78℃,由此说明,在该时段内春季的城市热岛效应强于秋季。 相似文献
8.
万继康 《测绘与空间地理信息》2020,(1):72-75
针对研究城市热环境的过程中,利用归一化植被指数(NDVI)进行地表温度(LST)反演,再将LST和NDVI结合说明地物变迁与城市热环境的影响的现状,利用Landsat-8多时相遥感影像、高分辨率影像、公开GIS等多源数据,通过人工交互判读和量化统计分析,实现了2013—2017年北京建成区NDVI变化及其对地表热环境影响分析,再对分析结果进行差值拟合评价。对NDVI阈值分割按照大小为LC1、LC2、LC3、LC4,对LST分为高温区(TH)、常温区(TR)和低温区(TL)。结果表明,2013年至2017年:1)建成区的平均NDVI增加0.03,其中LC1增加1.0%,LC2减少11.6%,LC3区域减少1.7%,LC4区域增加12.3%。2)建成区平均LST增加2.55 K,TH百分比增加0.6%;TR百分比减少1.1%,TL百分比增加0.5%。3)NDVI相对增加,地表温度相对下降以及NDVI相对减少,地表温度相对上升占60%,NDVI相对下降,地表温度相对下降以及NDVI相对增加,地表温度相对上升的占40%。 相似文献
9.
以北京市为研究区,利用Landsat MSS影像和Landsat TM影像,运用线性光谱混合分解模型提取4期北京地区的不透水地表信息,并结合北京城市用地扩张,分析二者的时空格局。结果表明,近30年来,北京城市用地和不透水地表快速扩张,扩张面积和速度逐年增加,到2010年不透水地表占城市用地面积的64.06%;东城区和西城区在1992年后不透水地表增长幅度较小,丰台区、海淀区、朝阳区和石景山区一直保持快速增长的状态。到2010年,西城区不透水地表占城市用地比例最高,达到高度人工化;在3个扩张阶段中,城市用地扩张中的不透水地表面积所占比例逐年降低,绿地面积所占比例逐年增加,尤其是2000—2010年绿地面积剧烈增加,达到了城市用地扩张面积的27.19%。 相似文献
10.
针对塔里木河流域脆弱的生态环境,该文采用地理信息系统、遥感技术手段提取2000年、2006年、2009年、2012年以及2014年塔里木河流域地表覆盖分类数据并对其变化特征进行分析.结果表明:2000-2014年塔里木河流域除水域、荒漠与裸露地表面积减少外,其余地表类型均呈增加趋势,其中变化量最大的为荒漠与裸露地表、冰川与积雪、耕地、草地,其变化量分别为-34 558.1 km2、14 351.15 km2、6 471.79 km2、6 383.94 km2.2000-2014年塔里木河流域荒漠与裸露地表面积减小,主要转变为了草地、林地与耕地;耕地面积增加主要来自于林地、草地、荒漠与裸露地表;冰川和积雪的面积增加主要增加来源为林地、草地和荒漠与裸露地表. 相似文献
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12.
Area Delineation and Spatial-Temporal Dynamics of Urban Heat Island in Lanzhou City,China Using Remote Sensing Imagery 总被引：2，自引：0，他引：2
Jinghu Pan 《Journal of the Indian Society of Remote Sensing》2016,44(1):111-127
One of the key impacts of rapid urbanization on the environment is the effect of urban heat island (UHI). By using the Landsat TM/ETM+ thermal infrared remote sensing data of 1993, 2001 and 2011 to retrieve the land surface temperature (LST) of Lanzhou City, and by adopting object-oriented fractal net evolution approach (FNEA) to make image segmentation of the LST, the UHI elements were extracted. The G* index spatial aggregation analysis was made to calculate the urban heat island ratio index (URI), and the landscape metrics were used to quantify the changes of the spatial pattern of the UHI from the aspects of quantity, shape and structure. The impervious surface distribution and vegetation coverage were extracted by a constrained linear spectral mixture model to explore the relationships of the impervious surface distribution and vegetation coverage with the UHI. The information of urban built-up area was extracted by using UBI (NDBI-NDVI) index, and the effects of urban expansion on city thermal environment were quantitatively analyzed, with the URI and the LST grade maps built. In recent 20 years, the UHI effect in Lanzhou City was strengthened, with the URI increased by 1.4 times. The urban expansion had a spatiotemporal consistency with the UHI expansion. The patch number and density of the UHI landscape were increased, the patch shape and the whole landscape tended to be complex, the landscape became more fragmented, and the landscape connectivity was decreased. The heat island strength had a negative linear correlation with the urban vegetation coverage, and a positive logarithmic correlation with the urban impervious surface coverage. 相似文献
13.
Landsat TM/ETM and MODIS satellite remote sensing data from 1995 to 2012 are used to study Shanghai’s urban heat island (UHI) in China from the perspectives of time and space. Furthermore the UHI characteristics are analyzed in terms of landscape ecology theory and the urban heat island effect ratio (UHIER). The results show that: in the time sequence, the land brightness temperature (LBT) of Shanghai in 2000 is the strongest and the one in 2003 is the weakest. The urban area LBT has continued to decline since 2003, but for the entire Shanghai, it has had an overall increase. In the spatial distribution, LBT structure is mainly dominated by urban area from 1995 to 2000; but since the rapid development of built-up area of Pudong, Songjiang, Minhang and Jiading Districts in 2000, the LBT landscape pattern which was primarily urban area-centered and multicenter built-up area-supplemented has been gradually formed. 相似文献
14.
JIANG Zhangyan CHEN Yunhao LI Jing 《地球空间信息科学学报》2006,9(4):293-297
IntroductionThe scientists have begun to retrieve land sur-face temperature (LST) fromsatellite data sincethe launch of TIROS-Ⅱin 60s of the 20th centu-ry . With the development of remote sensingtechnology and its application, more and moreLST retrieval … 相似文献
15.
Land surface temperature (LST) of Beijing area was retrieved from Landsat TM thermal band data utilizing a radiative transfer equation and the urban heat island (HUI) effects of Beijing and its relationship with land cover and normalized difference vegetation index (NDVI) were discussed. The result of LST showed that the urban LST was evidently higher than the suburban one. The average urban LST was found to 4. 5°C and 9°C higher than the suburban and outer suburban temperature, respectively, which demonstrated the prominent UHI effects in Beijing. Prominent negative correlation between LST and NDVI was found in the urban area, which suggested the low percent vegetation cover in the urban area was the main cause of the urban heat island. 相似文献
16.
Qihao Weng Mohammad Karimi Firozjaei Amir Sedighi Seyed Kazem Alavipanah 《地理信息系统科学与遥感》2019,56(4):576-604
The urban heat island is considered as one of the most important climate change phenomena in urban areas, which can result in remarkable negative effects on flora, concentration of pollutants, air quality, energy and water consumption, human health, ecological and economic impacts, and even on global warming. The variation analysis of the surface urban heat island intensity (SUHII) is important for understanding the effect of urbanization and urban planning. The objective of this study was to present a new strategy based on the Shannon’s entropy and Pearson chi-square statistic to investigate the spatial and temporal variations of the SUHII. In this study, Landsat TM, ETM+, OLI and TIRS images, MODIS products, meteorological data, topographic and population maps of the Babol city, Iran, from 1985 to 2017, and air temperature data recorded by ground recorder devices in 2017 were used. First, Single-Channel algorithm was used to estimate land surface temperature (LST), and the maximum likelihood classifier was employed to classify Landsat images. Then, based on LST maps, surface urban heat island ratio index was employed to calculate the SUHII. Further, several statistical methods, such as the degree-of-freedom, degree-of-sprawl and degree-of-goodness, were used to analyse the SUHII variation along different geographic directions and in various time periods. Finally, correlation between various parameters such as air temperature, SUHII, population variation and degree-of-goodness index values were investigated. The results indicated that the SUHII value increased by 24% in Babol over different time periods. The correlation coefficient yielded 0.82 between the values of the difference between the mean air temperature of the urban and suburbs and the SUHII values for the geographic directions. Furthermore, the correlation coefficient between the population variation and the degree-of-goodness index values reached 0.8. The results suggested that the SUHII variation of Babol city had a high degree-of-freedom, high degree-of-sprawl and negative degree-of-goodness. 相似文献
17.
热岛效应是城市化进程中产生的特有环境问题。基于Landsat TM/ETM+（1989、2001、2007、2013年）遥感影像完成哈尔滨地面亮温定量反演、标准化和等级划分等处理,并分析城市热岛空间分布特征和时空演变规律。基于地学信息图谱理论,定量分析24 a间热岛效应图谱信息变化特征,探究城市热岛格局的时空演变进程和形成机制,揭示城市化进程与热岛效应之间的响应关系。结果表明,随着哈尔滨城市化进程加速,4级热岛效应呈递增趋势,面积比例分别为4.36%、5.69%、6.29%和7.12%,主要分布在道外区和铁路沿线地带;植被和水体区域的地面温度较低,其边缘温度更低;反复变化型面积最大,后期变化型面积最小,面积比例分别为33.30%和7.30%。地学信息图谱分析可为城市热岛效应随城市化演变趋势提供准确、丰富的信息,对全面分析城市热岛的形成和发展具有重要的意义。 相似文献
18.
Dušan Jovanović Miro Govedarica Filip Sabo Dubravka Sladić Aleksandar Ristić 《国际地球制图》2015,30(5):483-505
Main objective of this study was to establish a relationship between land cover and land surface temperature (LST) in urban and rural areas. The research was conducted using Landsat, WorldView-2 (WV-2) and Digital Mapping Camera. Normalised difference vegetation index and normalised difference built-up index were used for establishing the relation between built-up area, vegetation cover and LST for spatial resolution of 30 m. Impervious surface and vegetation area generated from Digital Mapping Camera from Intergraph and WV-2 were used to establish the relation between built-up area, vegetation cover and LST for spatial resolutions of 0.1, 0.5 and 30 m. Linear regression models were used to determine the relationship between LST and indicators. Main contribution of this research is to establish the use of combining remote sensing sensors with different spectral and spatial resolution for two typical settlements in Vojvodina. Correlation coefficients between LST and LST indicators ranged from 0.602 to 0.768. 相似文献
19.
Regional scale urban built-up areas and surface urban heat islands (SUHI) are important for urban planning and policy formation. Owing to coarse spatial resolution (1000 m), it is difficult to use Moderate Resolution Imaging Spectroradiometer (MODIS) Land surface temperature (LST) products for mapping urban areas and visualization, and SUHI-related studies. To overcome this problem, the present study downscaled MODIS (1000 m resolution)-derived LST to 250 m resolution to map and visualize the urban areas and identify the basic components of SUHI over 12 districts of Punjab, India. The results are compared through visual interpretation and statistical procedure based on similarity analysis. The increased entropy value in the downscaled LST signifies higher information content. The temperature variation within the built-up and its environs is due to difference in land use and is depicted better in the downscaled LST. The SUHI intensity analysis of four cities (Ludhiana, Patiala, Moga and Vatinda) indicates that mean temperature in urban built-up core is higher (38.87 °C) as compared to suburban (35.85 °C) and rural (32.41 °C) areas. The downscaling techniques demonstrated in this paper enhance the usage of open-source wide swath MODIS LST for continuous monitoring of SUHI and urban area mapping, visualisation and analysis at regional scale. Such initiatives are useful for the scientific community and the decision-makers. 相似文献