共查询到20条相似文献，搜索用时 46 毫秒
1.
Chenour Mohammadi Manuchehr Farajzadeh Yousef Ghavidel Rahimi Abbasali Aliakbar Bidokhti 《Arabian Journal of Geosciences》2018,11(13):360
Station recording air temperature (Ta) has limited spatial coverage, especially in unpopulated areas. Since temperature can change greatly both spatially and temporally, stations data are often inadequate for meteorology and subsequently climatology studies. Time series of moderate-resolution imaging spectroradiometer (MODIS) land surface temperature (Ts) and normalized difference vegetation index (NDVI) products, combined with digital elevation model (DEM), albedo from Era-Interim and meteorological data from 2006 to 2015, were used to estimate daily mean air temperature over Iran. Geographically weighted regression was applied to compare univariate and multivariate model accuracy. In the first model, which only interfered with land surface temperature (LST), the results indicate a weak performance with coefficient of determination up to 91% and RMSE of 1.08 to 2.9 °C. The mean accuracy of a four-variable model (which used LST, elevation, slope, NDVI) slightly increased (6.6% of the univariate model accuracy) when compared to univariate model. RMSE dropped by 19% of the first model. By addition albedo in the third model, the coefficient of determination increased significantly. This increase was 32% of the univariate model and 23.75% of the 4-variable model accuracy. The statistical comparison between the three models revealed that there is significant improvement in air estimation by applying the geographically weighted regression (GWR) method with interfering LST, NDVI, elevation, slope, and albedo with mean absolute RMSE of 0.62 °C and mean absolute R2 of 0.99. In order to better illustrate the third model, t values were spatially mapped at 0.05 level. 相似文献
2.
Mohamed E. Hereher 《Arabian Journal of Geosciences》2016,9(11):575
The objective of the present study was to reconstruct a short-term (12–14 years) trend of surface temperature and precipitation patterns using their surrogates as provided by satellite images for selected locations along the Red Sea mountains in Saudi Arabia. Time series land surface temperature (LST) and normalized difference vegetation index (NDVI) data acquired from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite were temporally plotted to delineate the trend and the decadal rates of change of both parameters. Results showed that real climate change is reported in the study area during the study period. There is a net increasing in the surface temperatures by 0.45 to 1.2 °C/decade and a net decrease in annual rainfall between 2001 and 2014. Findings of the present study show that the region is under a warming of the climate and a declining of wetness, which coincide with the air temperature and rainfall trends obtained from meteorological stations. 相似文献
3.
Assessment of the mutual impact between climate and vegetation cover using NOAA-AVHRR and Landsat data in Egypt 总被引：1，自引：0，他引：1
Mohammed A. El-Shirbeny Mohamed A. Aboelghar Sayed M. Arafat Abdel-Ghany M. El-Gindy 《Arabian Journal of Geosciences》2014,7(4):1287-1296
The objective of the current study is to use satellite data to assess the mutual influence between vegetation and climate. The Ismailia Governorate was selected as a case study to investigate the impact of vegetation cover expansion on both land surface and air temperature from 1983 to 2010 and vice versa. This observation site was carefully selected as a clear example of the high rate of the reclamation and vegetation expansion process in Egypt. Land surface temperature (LST) was estimated through the Advanced Very High Resolution Radiometer (a space-borne sensor embarked on the National Oceanic and Atmospheric Administration) data while air temperature (T air) was collected from ground meteorological stations in the study area. Irrigated agriculture is the largest consumer of freshwater resources. However, consistent information on irrigation water use is still lacking. Relative humidity, wind speed, solar radiation, and T air data were inserted in the Penman–Monteith equation to calculate potential evapotranspiration (ETo), while both LST and T air were used to observe the relative water status of the study area as a result of the water deficit index (WDI). Then, both WDI and ETo were used to calculate actual evepotranspiration (ETC.). The results showed that LST decreased by about 2.3 °C while T air decreased by about 1.6 °C during the study period. The results showed also that the vegetation cover expanded from 25,529.85 ha in 1985 to 63,140.49 ha in 2009 with about 147 % increase. This decrease in LST and air temperature was according to the expansion of the cultivated land that was proved through the processing of three Landsat TM and Landsat ETM+ imageries acquired in June 19, 1985, June 7, 1998, and June 29, 2009. The vegetation water consumption was affected by the decreasing surface and air temperature. The results showed that the water deficit index decreased by about 0.35, and actual evapotranspiration increased by about 2.5 mm during the study period. 相似文献
4.
遥感技术在陆面过程研究中的应用进展 总被引：10，自引：1，他引：10
探讨了当前陆面过程 (LSP)研究的特点 ,指出遥感在陆面过程研究中的应用以及陆面过程国际合作实验是突出的特点 ,进而对遥感技术的陆面参数获取、地表能量通量的计算以及与 LSP模式的结合研究及进展进行了综述。根据不同特征的地表参数选择光学遥感或微波遥感已成共识 ,而综合利用不同遥感数据获取同一种地表参数也已成为研究热点 ,当前及今后发射的携载多种遥感仪器的众多遥感卫星为此项研究提供了条件 ;遥感与 LSP模式的结合研究是遥感在陆面过程研究中深入应用的一个方面 ,国际陆面过程合作实验是这项研究的重要保证。 相似文献
5.
6.
Land surface temperature on alpine mountainous cold regions, which is one of basic parameters of the regional hydrological and meteorological conditions, directly affects glacial recession, snow melt, distribution and freezing thawing process of permafrost, evapotranspiration, vegetation growth, and various underlying surface change process, and then changes the regional hydrological and ecological environment, becomes the important parameter of the research on land surface process and the study of eco-hydrological process. This paper tried to provide an overview of research on land surface temperature, and to introduce its influence factors and the ways to obtain land surface temperature data in high mountainous cold region. Relative to low elevation plain, the land surface temperature was significantly affected by local altitude, terrain and plant cover. There were some methods to obtain land surface temperature, such as measurement in situ, retrieval based on remote sensing and calculation by land surface process models, but there were some limitations while used on alpine mountainous cold regions. Land surface temperature data from meteorological stations were only about level bare ground, and the influence of terrain or vegetable cover was not considered. Therefore, the data could not represent the information of region scale on mountainous area. Land surface temperature retrieval from remote sensing data, because of calculation theory, ground observation verification and spatiotemporal resolution, made it difficult to fulfill research on hydrology, land surface process and eco-hydrological process in alpine mountainous area. Land surface process models estimated land surface temperature in the experimental sites with high accuracy, but reduced the accuracy while upscale to the region scale on the mountainous cold area, because of the error from input control meteorological, soil and plant variables, and the error of ground observation site verification. The future research on land surface temperature on alpine mountainous cold regions should strengthen field observations and improve data accuracy, to build a physical land surface temperature estimation method with topographic and vegetation parameters, and to contribute to research on land-atmosphere-water process in alpine mountainous regions. 相似文献
7.
MODIS地表温度产品在青藏高原连续多年冻土区的适用性分析 总被引：4，自引：3，他引：1
利用自动气象站观测的长波辐射计算得到的地表温度对MODIS地表温度(LST)产品在青藏高原中部连续多年冻土区的精度进行验证, 并利用具有较高空间分辨率的Landsat 5 TM和Landsat 7 ETM+反演的地表温度与MODIS LST产品进行了对比分析. 结果表明: 白天MODIS LST产品的平均绝对误差(MAE)和均方根误差(RMSE)分别约为3.42~4.41 ℃和4.41~5.29 ℃, 夜晚MODIS产品MAE和RMSE分别为2.15~2.90 ℃和3.05~3.78 ℃, 精度高于白天; MODIS LST与TM、ETM+反演的地表温度一致性较好, 相关系数分别达到0.85和0.95. 说明MODIS LST产品在连续多年冻土区的适用性较高, 是研究多年冻土地表热状况的一个非常好的数据源. 而且, 不同空间尺度的遥感数据之间一致性较好, 可考虑将多源遥感数据应用于多年冻土热状况监测研究. 相似文献
8.
基于热红外遥感的农田蒸散估算方法研究综述 总被引：3，自引：0，他引：3
农田蒸散是农田土壤蒸发和作物蒸腾的总称,基于热红外遥感的农田蒸散估算方法研究是农业遥感领域重要前沿课题之一。经过30多年的发展,基于热红外遥感的遥感蒸散算法逐渐成熟并广泛应用于农业、气象以及水文等多个领域。简要回顾基于热红外遥感地表温度与空气温度温差的经验方法、地表能量平衡的单层和双层模型、基于热红外遥感数据源的彭曼公式以及遥感参数化的Priestley-Taylor模型等多种遥感蒸散模型的基本原理、核心算法以及存在问题等研究。针对这些方法的优缺点,指出了基于热红外遥感的农田蒸散估算方法在农业遥感中尚需解决的关键问题,并提出可能的解决途径。 相似文献
9.
Fei Zhang Tashpolat Tiyip Hsiangte Kung Verner Carl Johnson Matthew Maimaitiyiming Mei Zhou Juan Wang 《Arabian Journal of Geosciences》2016,9(7):499
Land use and land cover (LULC) changes caused by human activities have strong influences on regional environment. Land surface temperate plays an important role in studying the impact of LULC changes on regional environment. In this paper, remotely sensed thermal infrared data were used to assess land surface temperature (LST) in the Weigan and Kuqa river oasis, Xingjiang, one of the important agricultural areas in the northwestern China. The present study deals with the extraction of LST and the relationship between LULC changes using Landsat 5 TM acquired on September 25, 1989, and September 6, 2011. The results indicate that the surface temperature of water body, bare land, and desert changed significantly between 1989 and 2011. In general, the LST was lower in 1989 than in 2011. There were no lower, higher, and highest temperature zones in 1989. However, the minimum temperature was 10.7 °C in 1989 and 15.8 °C in 2011. The maximum temperature was 29.3 °C in 1989 and 41.8 °C in 2011. Regarding the LULC types, the desert features in the Gobi Desert warmed more quickly than the oasis. So, the temperature of the oasis was lower than the surrounded areas, resulting in a so-called “cold island” phenomenon. Oasis cold island effect index (OCIEI) shows that stability of oasis had rising trend from 1989 to 2011. In addition, the impact of LULC changes on LST was analyzed and the driving forces were also analyzed from 1977 to 2011. This study is significant for further understanding of the energy exchange status of soil-plant-atmospheric system and the regional heat distribution in arid and semi-arid areas of the northwest China. 相似文献
10.
基于植被指数和土地表面温度的干旱监测模型 总被引：79，自引：4，他引：79
干旱是一种周期性发生的自然现象,其发生过程中有关参数如地表覆盖度、温度和土壤表层含水量等可以通过遥感的途径进行定量反演,而这些参数客观地反映了地表的综合特征。综述了运用遥感反演产品---土地表面温度和归一化植被指数在干旱监测中的应用前景和进展,分析了距平植被指数、条件植被指数、条件温度指数和归一化温度指数等干旱监测方法的优缺点,在前人研究的基础上,提出了条件植被温度指数的干旱监测模型,探讨了其应用前景。 相似文献
11.
被动微波遥感反演地表温度研究进展 总被引：4，自引：0，他引：4
热红外遥感技术在地表温度反演中已经获得了丰厚的果实,反演精度可达到1 K,然而,大气中云雾和尘埃对热红外遥感探测地表温度影响很大,限制了热红外遥感反演地表温度的应用.相反,被动微波遥感受大气干扰小,可穿透云层获取地表辐射信息,并具有全天候、多极化等特点,在地表温度反演中具有独特的优越性.但是微波信号也受多种因素的影响,其反演地表温度的算法目前尚不成熟,有待进一步研究.根据不同微波辐射计特征,系统讨论并评估了被动微波反演地表温度的经验模型、物理模型以及半经验模型及其发展过程,指出目前研究的难点和缺点,为今后相关研究提供参考. 相似文献
12.
基于小波变换与神经网络的石羊河流域夏季地温预测模型研究 总被引：1，自引：1，他引：0
地温变化在气候反馈效应中起着重要作用, 理解地温及其与影响因素之间的时空关系对预测全球温度变化至关重要。利用1998 - 2017年石羊河流域的逐日常规气象观测资料, 采用小波分析结合BP（Back Propagation）神经网络构建了石羊河流域夏季地温预报模型, 结果表明： 日平均地温预测效果在不同站点均为最佳, 其中预测值和观测值的相关系数均大于0.87, 3 ℃以内的预测概率均大于84%。其中, 民勤地区地温预测效果最好, 预测值和观测值的相关系数达到0.91, 3 ℃以内的预测概率达到86%。日最高地温的预测值与观测值的相关系数高于0.8, 但误差平方和、 标准差较大。永昌地区日最高地温的模拟效果最好, 3 ℃以内的预测概率达到83%。日最低地温的预测与观测值的平均相关系数高于0.66, 3 ℃以内的预报概率高于83%, 但预测值略低。其中, 武威地区日最低地温的预测效果最好, 预测值与观测值的相关系数为0.72, 3 ℃以内的预测概率达到94%。研究成果可为有效弥补干旱、 半干旱区地温观测资料缺失和探讨其与局地气候的关系提供一些参考。 相似文献
13.
Comparison of two split-window methods for retrieving land surface temperature from MODIS data 总被引：2，自引：0，他引：2
Shaohua Zhao Qiming Qin Yonghui Yang Yujiu Xiong Guoyu Qiu 《Journal of Earth System Science》2009,118(4):345-353
Land surface temperature (LST) is a key parameter in environment and earth science study, especially for monitoring drought.
The objective of this work is a comparison of two split-window methods: Mao method and Sobrino method, for retrieving LST
using MODIS (Moderate-resolution Imaging Spectroradiometer) data in North China Plain. The results show that the max, min
and mean errors of Mao method are 1.33K, 1.54K and 0.13K lower than the standard LST product respectively; while those of
Sobrino method are 0.73K, 1.46K and 1.50K higher than the standard respectively. Validation of the two methods using LST product
based on weather stations shows a good agreement between the standard and Sobrino method, with RMSE of 1.17K, whereas RMSE
of Mao method is 1.85K. Finally, the study introduces the Sobmao method, which is based on Sobrino method but simplifies the
estimation of atmospheric water vapour content using Mao method. The Sobmao method has almost the same accuracy with Sobrino
method. With high accuracy and simplification of water vapour content estimation, the Sobmao method is recommendable in LST
inversion for good application in Ningxia region, the northwest China, with mean error of 0.33K and the RMSE value of 0.91K. 相似文献
14.
ERA-Interim地表温度数据集在青藏高原冻土分布制图应用的适用性评估 总被引：4，自引：2，他引：2
地表温度综合反映了大气、植被和土壤等因素的能量交换状况, 是冻土分布模型和一些寒区陆面过程模式的上边界条件, 对多年冻土分布制图和活动层厚度估算有重要意义. 为了评估ERA-Interim 地表温度产品在青藏高原地区的适用性, 综合比较了青藏高原69个海拔2 000 m以上气象站1981-2013年地面实际观测值与ERA-Interim之间的差异及其分布状况. 结果表明, 两种资料的变化趋势一致, 但是ERA-Interim地表温度在数值上与实际观测值差别显著, 平均偏低7.4℃. 原因之一可能是由ERA-Interim再分析资料格点的海拔高度与气象站实际海拔高度差异引起的. 根据两种温度产品之间海拔的差异, 对ERA-Interim地表温度重新进行模拟, 经过模拟后的ERA-Interim地表温度与实际观测值的差值在大部分气象站变小, 平均偏高0.4℃. 因此, 经过重新模拟的ERA-Interim地表温度基本能够反映青藏高原地表温度的真实情况. 以模拟后的ERA-Interim地表温度作为地面冻结数模型的输入参数模拟了青藏高原冻土分布, 结果表明青藏高原多年冻土区面积为1.14×106 km2, 季节冻土区面积为1.43×106km2. 相似文献
15.
In this study, an attempt has been made to estimate land surface temperatures (LST) and spectral emissivities over a hard
rock terrain using multi-sensor satellite data. The study area, of about 6000 km2, is a part of Singhbhum-Orissa craton situated in the eastern part of India. TIR data from ASTER, MODIS and Landsat ETM+
have been used in the present study. Telatemp Model AG-42D Portable Infrared Thermometer was used for ground measurements
to validate the results derived from satellite (MODIS/ASTER) data. LSTs derived using Landsat ETM+ data of two different dates
have been compared with the satellite data (ASTER and MODIS) of those two dates. Various techniques, viz., temperature and
emissivity separation (TES) algorithm, gray body adjustment approach in TES algorithm, Split-Window algorithms and Single
Channel algorithm along with NDVI based emissivity approach have been used. LSTs derived from bands 31 and 32 of MODIS data
using Split-Window algorithms with higher viewing angle (50°) (LST1 and LST2) are found to have closer agreement with ground
temperature measurements (ground LST) over waterbody, Dalma forest and Simlipal forest, than that derived from ASTER data
(TES with AST 13). However, over agriculture land, there is some uncertainty and difference between the measured and the estimated
LSTs for both validation dates for all the derived LSTs. LST obtained using Single Channel algorithm with NDVI based emissivity
method in channel 13 of ASTER data has yielded closer agreement with ground measurements recorded over vegetation and mixed
lands of low spectral contrast. LST results obtained with TIR band 6 of Landsat ETM+ using Single Channel algorithm show close
agreement over Dalma forest, Simlipal forest and waterbody with LSTs obtained using MODIS and ASTER data for a different date.
Comparison of LSTs shows good agreement with ground measurements in thermally homogeneous area. However, results in agriculture
area with less homogeneity show difference of LST up to 2°C. The results of the present study indicate that continuous monitoring
of LST and emissivity can be undertaken with the aid of multi-sensor satellite data over a thermally homogeneous region. 相似文献
16.
The relationship between land surface temperature and land use/land cover in Guangzhou,China 总被引：1，自引：1，他引：0
The integration of remote sensing, geographic information system, landscape ecology and statistical analysis methods was applied
to study the urban thermal environment in Guangzhou. Normalized Difference Vegetation Index (NDVI), Normalized Difference
Build-up Index (NDBI), Normalized Difference Barren Index (NDBaI) and Modified Normalized Difference Water Index (MNDWI) were
used to analyze the relationships between land surface temperature (LST) and land use/land cover (LULC) qualitatively. The
result revealed that, most urban built-up lands were located in the middle part, and high LST areas mostly and were in the
middle and southern parts. Therefore, the urbanization and thermal environment in the middle and southern parts need to be
determined. Land surface temperature increased with the density of urban built-up and barren land, but decreased with vegetation
cover. The relationship between MNDWI and LST was found to be negative, which implied that pure water would decrease the surface
temperature and the polluted water would increase the surface temperature. A multiple regression between LST and each indices
as well as the elevation was created to elevate the urban thermal environment, which showed that NDVI, NDBI, NDBaI, MNDWI
were effective indicators for quantifying LULC impacts on LST. 相似文献
17.
The aim of this study is to understand the land use change and urban expansion of Jaipur City of Rajasthan (India). Landsat 5 TM and Landsat 8 OLI satellite data of 4 years, i.e., 1993, 2000, 2010, and 2015 are used for land use and land surface temperature (LST) analysis. ERDAS Imagine and ArcGIS software are used to conduct the analysis. Urban settlement increased from 13.5 to 57.3% in the study period. Open land is mainly changed to urban areas. Urban settlement is also expanded to peri-urban area of Jaipur City. Jaipur City expanded along three directions i.e., north, west, and south and less development is found in the east direction. Based on radial analysis, it is observed there is not much development within the periphery of 2 km (close to city center) but maximum growth is observed within the distance from 4 to 6 km radius of city center. Expansion intensity was observed highest in the period 2015–2010 from 6 km onwards and reached to a maximum value close to 17 km2/year. In LST analysis, there is less change in extreme temperature, but more areal increase in average temperature range (30–35 °C). Urbanization is the main driving process of land cover changes and consequently changes in LST. 相似文献
18.
The quantification of energy interactions among land surface, atmosphere, and surface vegetation is significant to comprehend the hydrological cycle in montane watersheds. Moreover, elevation change is an essential in causing variations in energy fluxes. Thus, estimating the major components of energy interactions is essential for better understanding of the hydrological process. The advanced land surface models (LSMs); the common land model (CLM) and variables infiltration capacity (VIC) are used to estimate accurate hydrometeorological variables. These hydrometeorological variables such as net radiation and sensible, latent, and ground heat fluxes were estimated using CLM and VIC at upper and lower meteorological stations in Sierra Nevada Mountain, California, USA. The estimated fluxes were compared with observations at each site. The estimated daily and monthly net radiation and sensible heat flux from both models showed good agreement with the observations (R ≥ 0.84). The CLM-modeled estimates showed lower trends during the rainfall periods, which occurred mainly during winter at both sites. In comparison, the estimated daily and monthly latent heat flux from CLM at both sites showed better results with lower RMSE and bias than that from VIC, which underestimated latent heat flux. Both models overestimated ground heat flux, and the variation trend was similar to observation. For sensitivity analysis, according to elevation change, all the estimated energy fluxes had slightly different values at the upper and lower met stations. In future studies, parameterization for the LSMs will be conducted for more robust estimations of hydrometeorological variables in montane watersheds. 相似文献
19.
Urbanization produces substantial land use changes by causing the construction of different urban infrastructures in the city region for habitation, transportation, industry, and other reasons. As a result, it has a significant impact on Land Surface Temperature (LST) by disrupting the surface energy balance. The objective of this paper is to assess the impact of land-use/land-cover (LU/LC) dynamics on urban land surface temperature (LST) of Bhubaneswar City in Eastern India during 30 years (1991–2021) using Landsat data (TM, ETM + , and OLI/TIRS) and machine learning algorithms (MLA). The finding reveals that the mean LST over the entire study domain grows significantly between 1991 and, 2021due to urbanization (β coefficient 0.400, 0.195, 0.07, and 0.06 in 1991, 2001, 2011, and 2021 respectively) and loss of green space (β coefficient − 0.295, − 0.025, − 0.125 and − 0.065 in 1991, 2001, 2011 and 2021 respectively). The highest class recorded for agricultural land (49.60 km2, accounting for 33.94% of the total land area) was in 1991 followed by vegetation (41.27 km2, 28.19% of the total land area), and built-up land (27.59 km2, 18.84% of the total land area). The sharp decline of vegetation cover will continue until 2021 due to increasing built-up areas (r = − 0.531, − 0.329, − 0.538, and − 0.063 in the 1991, 2001, 2011 and 2021 respectively). Built-up land (62.60 km2, accounting for 42.76% of the total land area, an increase of 35.01 km2 from 1991) as the highest class followed by water bodies (21.57%, 32.60 km2 of the land area), and agricultural land (31.57 km2, 21.57% of the land area) in 2021. Remote sensing techniques proved to be an important tool to urban planners and policymakers to take adequate steps to promote sustainable development and minimize urbanization influence on LST. Urban green space (UGS) can help improve the overall liveability and environmental sustainability of Bhubaneswar city.
相似文献20.
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