Analysis of urban built-up areas and surface urban heat island using downscaled MODIS derived land surface temperature data     

Sandip Mukherjee  P. K. Joshi  R. D. Garg 《国际地球制图》2017,32(8):900-918

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   

Land surface temperature and its impact factors in Western Sichuan Plateau,China   总被引：1，自引：0，他引：1  

Wenfu Peng  Lujun Wen  Shang Xue  Lijun Dong 《国际地球制图》2017,32(8):919-934

The understanding influence of multiple factors variations on land surface temperature (LST) remains elusive. LST was retrieved by the atmospheric correction algorithms. Based on the correlation coefficients, stepwise regression analysis was developed to examine how multiple factors variability led to LST variations. The differences in LST between impact factors vary depending on time in a day. The elevation and land use types significantly affect the LST in sunny slope or shadow areas has a significantly quadratic curve correlation or a negative linear correlation with it, the influence of slope and aspect is not very significant. LST for forestland, grassland and bare land in the sunny slope and shadow area was the cubic polynomial related to its elevation. Normalized difference vegetation index (NDVI) and normalized difference moisture index (NDMI) effectively express LST in mountainous. LST and NDMI or NDVI have a significantly negative correlation, NDMI is more effective and more applicable for the expression of LST.  相似文献   

Assessment of land degradation in Mediterranean forests and grazing lands using a landscape unit approach and the normalized difference vegetation index     

《Applied geography (Sevenoaks, England)》2017

Land managers need sound, evidence-based information about land degradation patterns and about the effectiveness of their management responses. Obtaining such information is particularly difficult in Mediterranean grazing lands and forests, where a long history of anthropogenic pressure, high topographical and climatic variability, and frequent disturbances combine to create a highly diverse and unstable environment.Our study aimed at designing a methodology to provide land managers in three data-scarce drylands in Spain, Greece, and Cyprus with spatially explicit, up-to-date information on the state of their land, the pressures driving land degradation, and the effectiveness of their management efforts using remotely sensed NDVI data. To translate NDVI values into a land degradation assessment, we analysed the variance of the annual average NDVI within different landscape units, which we identified based on land cover, aspect, and slope steepness parameters. After calibrating and validating the land degradation mapping methodology using field observations, we related the obtained land degradation patterns with spatial information about grazing and wildfire, as well as controlled grazing and afforestation practices.Our methodology proved useful to assess land degradation and management measures in dry, semi-natural ecosystems. It also provided insights into the role of landscape in modulating land degradation. Results indicate that grazing is a significant cause of land degradation even in partially abandoned areas; repeated fires have a negative impact; slope steepness increases the land's sensitivity to grazing; north- and east-facing slopes are less sensitive to fire in the long term than south- and west-facing slopes; and the effectiveness of responses to land degradation is substantially affected by land cover and topography.The methodology presented can be used to overcome the lack of spatially explicit information on the state of the land in drylands of the Mediterranean and beyond, or as a basis for more in-depth studies to plan restoration interventions.  相似文献   

黄土高原植被恢复潜力研究   总被引：23，自引：1，他引：22  

高海东  庞国伟  李占斌  程圣东 《地理学报》2017,72(5):863-874

黄土高原从1999年开始大规模退耕还林（草）,植被覆盖发生了较大变化,对黄土高原植被恢复现状和恢复潜力进行评估具有重要意义。本文使用1999-2013年SPOT VEG NDVI数据,采用线性回归、Hurst指数分析法、统计学方法以及地理空间分析技术,对黄土高原植被恢复状况和潜力进行了探讨。结论主要为：① 1999年退耕还林（草）以来,黄土高原植被覆盖度呈显著上升趋势,黄土高原三分之二地区的植被将会持续改善;② 植被响应曲线分析表明,黄土区植被覆盖度和干旱指数呈显著的指数关系,且缓坡相关性大于陡坡。土石山区植被响应函数为线性函数,相关系数下降;③ 整个黄土高原地区平均植被恢复潜力为69.75%。植被恢复潜力值东南高而西北低,黄土高原东南地区植被恢复状况较好,其植被恢复潜力指数较小,而植被恢复潜力指数较高的地区主要为北方风沙区及西部丘陵沟壑区;④ 不同降水量条件下,植被恢复速度差别显著,其中降水量在375~575 mm之间的地区,植被恢复最快。植被恢复措施应该“因水制宜”,避免因造林带来的土壤干化加剧。研究结果以期为黄土高原生态文明建设提供科学支撑。  相似文献   

结合被动微波和光学遥感的“超级寒潮”广东 地表温度特征及其对马铃薯生长的影响     

刘尉  王重洋  李丹  姜浩  陈水森 《热带地理》2018,38(1):61-71

利用被动微波可穿透云层的优势,基于GCOM-W1/AMSR2（Global Change Observation Mission-Water/ Advanced Microwave Scanning Radiometer 2）星载被动微波传感器的多通道亮度温度数据,反演了2016年1月下旬“超级寒潮”过程的广东省每日地表温度,分析了寒潮过程中广东省地表温度的时空变化特征。结果表明：在寒潮前后,广东省地表温度呈现出明显的先下降而后上升的趋势,寒潮过程带来的地表最低温度在广东北部大部分地区达到了277 K（4℃）,西南大部分地区为280~282 K（7~9℃）,其余大部分地区278~279 K（5~6℃）;降温幅度在广东南部地区达到了8~12 K（8~12℃）,北部大部分地区为5~7 K（5~7℃）。此外,利用归一化植被指数（NDVI）对植被生长的指示作用,基于HJ-1 A/B卫星的CCD传感器的多通道反射率数据,计算了近3年冬季广东省典型马铃薯种植区域马铃薯叶片的NDVI值,结果表明：马铃薯叶片的NDVI值在此次寒潮过程后出现了明显的下降,大部分地区（55.4%）马铃薯NDVI降低了0.1~0.2,部分地区（17.2%）马铃薯NDVI下降了0.2~0.3;进一步对比此次“超级寒潮”后同时段的前2年数据,发现寒潮后马铃薯叶片NDVI相对于正常年份也低了0.2,表明马铃薯叶片NDVI下降的主要原因是寒潮带来的低温,而不只是马铃薯的正常老化现象。NDVI的降低表明大部分地区马铃薯生长受到了抑制,马铃薯生长状况的这一变化也通过现场调查得到了证实。  相似文献   

基于NDVI纹理的山东丘陵地区SPOT-5影像果园信息识别研究   总被引：3，自引：1，他引：2  

王大鹏  王周龙  李德一 《测绘科学》2007,32(1):126-127,121

胶东半岛是我国重要的水果生产基地,及时有效地获取果园信息,对指导当地水果生产具有重要意义。在遥感信息提取中,纹理特征是一种有效的辅助信息,但在原始影像中地形阴影对纹理特征有较大影响。本文提出了一种利用NDVI影像的纹理特征和光谱特征从SPOT-5影像自动识别果园信息的方法,消除了地形阴影的影响,取得了86.40%的识别精度。  相似文献   

热带山区高时空分辨率NDVI融合精度及其影响因素分析     

高书鹏  刘晓龙  宋金玲  史正涛  杨磊  郭利彪 《地球信息科学学报》2022,24(2):405-419

高时空分辨率NDVI时序数据作为遥感应用中的重要数据源,对土地覆被动态变化监测具有重要意义,特别是在地表高程变化显著、气候条件复杂、景观异质性强烈的热带山区。虽然当前学者们提出了诸多时空数据融合模型,但针对这些模型在热带山区的NDVI数据融合精度及其影响因素分析尚不多见。对此,本文选取3类时空数据融合方法（权重函数法、概率统计法和多种混合法）中具有代表性的4个模型：STARFM（Spatial and Temporal Adaptive Reflectance Fusion Model）、RASTFM（Spatial and Temporal Adaptive Reflectance Fusion Model）、ESTARFM（Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model）、BSFM（Bayesian Spatiotemporal Fusion Model） （STARFM、ESTARFM为权重函数法;BSFM为概率统计法;RASTFM为多种混合法）,选择位于我国热带山区的纳板河流域作为研究区。对融合模型的数据源选择、研究区的地形及景观空间异质性、融合模型、以及薄云和雾霾等大气条件等影响因素进行分析,研究结果表明：① 数据融合精度随输入影像之间的时间间隔及其相对变化量增加而降低;融合中输入的高、低空间分辨率数据光谱匹配度越高,融合精度越高（OLI优于Sentinel-2; MODIS优于VIIRS）;经过BRDF校正的数据能够有效提高各模型的融合精度;② 地形及空间异质性对融合结果精度影响显著,融合精度与空间异质性呈负相关,本研究中融合精度随着坡度的增大而减小,但坡向对融合精度的影响较小;地形对RASTFM的影响较其他模型低;③ 融合模型中输入的高质量影像越多,模型的融合精度往往越高;④ 薄云和雾霾会对融合精度产生显著负面影响。本研究的结果对于改进热带山地地区的高时空数据融合模型,生产热带山区复杂地理环境的高精度高时空分辨率NDVI数据集具有重要的参考价值。  相似文献   

京津风沙源区2000—2015年植被覆盖状况的区域差异研究     

李庆旭  张彪  王爽  谢高地 《地学前缘》2018,25(5):298-304

植被覆盖状况是监测与表征区域生态建设成效的重要指标。以往研究注重区域植被覆盖状况的整体变化分析,对长时期区域内部植被覆盖变化及其差异研究较少。文中基于京津风沙源区遥感影像数据,采用GIS空间分析技术,重点评估了2000—2015年植被覆盖度的年际变化及其区域差异。研究结果表明,2000—2015年京津风沙源区植被覆盖度变化为35%~45%,且随年份变化呈波动增加趋势,年均增速为0.4%(P<0.05),生态治理取得明显植被恢复成效。8个治理分区植被覆盖均有所增加,但区域差异明显,晋北山地丘陵亚区和燕山丘陵山地水源保护亚区植被覆盖度年均增速超过0.6%,浑善达克沙地亚区与荒漠草原亚区植被覆盖度年均增速不及0.2%,这与区域地表组成和气候背景有关。从地市来看,北京、天津和承德植被覆盖度较高,但朔州和张家口植被覆盖度增速明显,而乌兰察布和包头植被覆盖度年均增速低于0.1%。相比2000年,2015年京津风沙源区有51%的区域植被覆盖度增加,49%区域植被覆盖度未变或降低,主要集中在京津风沙源区的中部和西部县市(旗),未来生态治理过程中应加以重点关注。  相似文献   

2000年以来朝鲜植被覆盖变化及其与气候因子的相关性研究     

戚德康  南颖  孙博杨  王健文  王兵兵 《干旱区地理》2017,40(4):839-849

生态环境的可持续与人类福祉和生态系统服务息息相关,研究植被覆盖变化及其与气候因子的相关性,探讨植被覆盖时空变化规律,探究气候因子对植被变化的驱动机制,对预见气候因子对生态系统影响、制定生态环境可持续保护策略具有深远意义。基于此,利用美国国家航空航天局发布的MODIS NDVI数据并结合相关的气候资料,通过对像元信息进行提取与分析,采用最大合成法、克里金插值法、相关分析法等方法,对2000-2016年朝鲜全境植被覆盖变化及其与气候因子的相关性进行了研究。结果表明：朝鲜全境植被覆盖空间分布不均,北部盖马高原、东北部咸镜山区,中、东部山地丘陵区为高值区;西、南部平原地区,东部沿海地带为低值区。NDVI值整体上增加,局部减少,空间差异明显。植被生长受气温和降水双重驱动,其中,气温对植被年内生长变化比降水作用更大;而气温因素中,年平均气温对植被生长的影响程度略大,NDVI对降水的响应存在明显滞后效应;NDVI对温度和降水的响应程度与空间地理位置、高程有关。区域植被NDVI年际变化主要受年最低气温和人类活动的影响。  相似文献   

The Effect of Higher Warming on Vegetation Indices and Biomass Production is Dampened by Greater Drying in an Alpine Meadow on the Northern Tibetan Plateau     

WANG Jiangwei  FU Gang  ZHANG Guangyu  SHEN Zhenxi 《资源与生态学报(英文版)》2017,8(1):105-112

In order to understand whether or not the response of vegetation indices and biomass production to warming varies with warming magnitude, an experiment of field warming at two magnitudes was conducted in an alpine meadow on the northern Tibetan Plateau beginning in late June, 2013. The normalized difference vegetation index (NDVI), green normalized difference vegetation index (GNDVI) and soil adjusted vegetation index (SAVI) data were obtained using a Tetracam Agricultural Digital Camera in 2013-2014. The gross primary production (GPP) and aboveground plant biomass (AGB) were modeled using the surface measured NDVI and climatic data during the growing seasons (i.e. June-September) in 2013-2014. Both low and high warming significantly increased air temperature by 1.54 and 4.00°C, respectively, and significantly increased vapor pressure deficit by 0.13 and 0.31 kPa, respectively, in 2013-2014. There were no significant differences of GNDVI, AGB and ANPP among the three warming treatments. The high warming significantly reduced average NDVI by 23.3% (-0.06), while the low warming did not affect average NDVI. The low and high warming significantly decreased average SAVI by 19.0% (-0.04) and 27.4% (-0.05), respectively, and average GPP by 24.2% (i.e. 0.21 g C m^-2 d^-1) and 44.0% (i.e. 0.39 g C m^-2 d^-1), respectively. However, the differences of the average NDVI, SAVI, and GPP between low and high warming were negligible. Our findings suggest that a greater drying may dampen the effect of a higher warming on vegetation indices and biomass production in alpine meadow on the northern Tibetan Plateau.  相似文献