Land surface temperature(LST) is the net result of the climatic energy balance to the environmental *** LST with high accuracy can offer important information to monitor the climate *** ***' s split-window algorit...
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Land surface temperature(LST) is the net result of the climatic energy balance to the environmental *** LST with high accuracy can offer important information to monitor the climate *** ***' s split-window algorithm for LST has been used in European regions with good accuracy based on the AVHRR images. In this paper,the further modification and development was made with the ***'s algorithm for retrieving from MODIS data,which combines surface emissivity with corresponding Normalized Difference Vegetation Index (NDVI) *** Arid/Semi-Arid region,the complex land covers in spatio-temporal make the accuracy retrieving more *** a validation of the model,the retrieved LST is compared with meteorological data and MOD11 which are released by LP *** results show that the accuracy of the Coll's algorithm for retrieving LST is significantly improved with of the MOD11 products and similar with the observation data,while they display the clear trapezoidal relationship between LST and NDVI,while MODIS products lost this *** developed Coll' s algorithm is suitable for the LST retrieval and the retrieval map can properly present LST characteristics of spatio-temporal changes with high accuracy in arid and semi-arid regions.
Coal-bed methane (CBM) is composed primarily of gas and it is a clean and efficient energy of high value. Based on the theory of gas geology, usually there will be an anomaly of land surface temperature at the area wh...
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ISBN:
(纸本)9781424412112
Coal-bed methane (CBM) is composed primarily of gas and it is a clean and efficient energy of high value. Based on the theory of gas geology, usually there will be an anomaly of land surface temperature at the area where the density of CBM under the coalmine is high. Land surface temperature at coal mine district is retrieved by using ASTER band 13 (10.7 mu m) and band 14 (11.3 mu m) combined with split-window algorithm. The atmosphere transmittance is simulated through MODTRAN 4 and land surface emissivity is calculated from NDVI. The temperature anomaly areas in the result image are suspect high CBM density areas and the causes of the temperature anomaly are discussed at the end.
Climate variability in the African Soudano-Sahel savanna zone has attracted much attention because of the persistence of anomalously low rainfall. Past efforts to monitor the climate of this region have focused on rai...
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Climate variability in the African Soudano-Sahel savanna zone has attracted much attention because of the persistence of anomalously low rainfall. Past efforts to monitor the climate of this region have focused on rainfall and vegetation conditions, while land surface temperature (LST) has received less attention. Remote sensing of LST is feasible and possible at global scale. Most remotely sensed estimates of LST are based on the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) that are limited in their ability to capture the full diurnal cycle. Although more frequent observations are available from past geostationary satellites, their spatial resolution is coarser than that of polar orbiting satellites. In this study, the improved capabilities of the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the METEOSAT Second Generation (MSG) instrument are used to remotely sense the LST in the African Soudano-Sahel savanna zone at a resolution of 3 km and 15 minutes. In support of the Radiative Atmospheric Divergence using the ARM Mobile Facility (AMF), GERB and AMMA Stations (RADAGAST) project, African Monsoon Multidisciplinary Analyses (AMMA) project and the Department of Energy's Atmospheric Radiation Measurement (ARM) program, the ARM Mobile Facility was deployed during 2006 in this climatically sensitive region, thereby providing a unique opportunity to evaluate remotely sensed algorithms for deriving LST.
作者：
Qin, ZKarnieli, ABerliner, PBen Gurion Univ Negev
Jacob Blaustein Inst Desert Res Dept Energy & Environm Phys Remote Sensing Lab IL-84990 Sede Boqer Israel Ben Gurion Univ Negev
Jacob Blaustein Inst Desert Res Dept Dryland Agr Wyler Lab Arid Land Conservat & Dev IL-84990 Sede Boqer Israel Umea Univ
Spatial Modeling Ctr S-98128 Kiruna Sweden
In the sand-dune region across the Israel-Egypt border, an anomalous phenomenon of thermal variation was observed on remote sensing images: the Israeli side with much more vegetation cover has higher surface temperatu...
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In the sand-dune region across the Israel-Egypt border, an anomalous phenomenon of thermal variation was observed on remote sensing images: the Israeli side with much more vegetation cover has higher surface temperature than the Egyptian side, where bare sand surface prevails. The study intends to examine the phenomenon using NOAA-AVHRR and Landsat TM data. The focus is to analyse the seasonal and spatial change of land surface temperature (LST) in the border region, to verify it through ground truth measurements and to simulate the average LST change on both sides according to surface composition structure. A splitwindowalgorithm containing only two parameters ( transmittance and emissivity) has been developed for retrieving LST from NOAA-AVHRR data and a mono-windowalgorithm is proposed for computing LST from the only one thermal band of Landsat TM data. Application of these algorithms to the available AVHRR and Landsat TM data indicates that the LST anomaly does occur not only in one day but almost all the year. In hot dry summer the Israeli side is usually about 2.5- 3.5degreesC hotter. In wet cool winter the LST difference between the sides is not large but the Israeli side still has higher LST. The Egyptian side may have slightly higher LST when surface temperature is below 20degreesC, several days after heavy rain, which leads to very wet surface conditions. The sharp LST contrast disappears on night-time images. Ground truth measurements indicate that the LST contrast mainly can be attributed to the surface temperature difference on the two typical surface patterns: biogenic crust and bare sand, which have above 3degrees C difference in surface temperature during summer. Experiments on soil samples from the field indicate that biogenic crust and sand have emissivity values of about 0.972 and 0.954, respectively, in hot dry conditions that match the environment of the region in summer. Surface composition determination based on three methods indicates that
An algorithm for retrieving land surface temperature (LST) was developed by using multiple linear regression analysis and path analysis based on the National Oceanic and Atmospheric Administration's Advanced Very ...
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ISBN:
(纸本)0819442763
An algorithm for retrieving land surface temperature (LST) was developed by using multiple linear regression analysis and path analysis based on the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer (AVHRR) remotely sensed thermal infrared data. The analysis results indicated that the brightness temperatures of the AVHRR thermal infrared channels 4 and 5 should be involved in retrieving LST, and showed that it became difficult to disentangle the effects of the brightness temperatures of the AVHRR channels 4 and 5 on LST. Therefore, a split-window algorithm for retrieving LST was developed by introducing the difference of the two brightness temperatures.
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