نتایج جستجو برای: using satellite remotely sensed land surface temperature ts data acquired through the modis
تعداد نتایج: 17089234 فیلتر نتایج به سال:
Dust is one of the common processes of arid and semiarid regions that its occurrence frequencies has increased in recent years in Iran. The proper identification of sand and dust storms (SDS) is particular importance due to its impact on the environment and human health. So far, several methods for identifying these sources have been proposed such as methods based on field studies and geomorpho...
An Ensemble Kalman filter (EnKF) is used to assimilate airborne measurements of 1.4 GHz surface brightness temperature ðTBÞ acquired during the 1997 Southern Great Plains Hydrology Experiment (SGP97) into the TOPMODEL-based Land–Atmosphere Transfer Scheme (TOPLATS). In this way, the potential of using EnKF-assimilated remote measurements of TB to compensate land surface model predictions for er...
Title: ESTIMATING LAND SURFACE ALBEDO FROM SATELLITE DATA Tao He, Doctor of Philosophy, 2012 Directed by: Dr. Shunlin Liang, Professor Department of Geographical Sciences Land surface albedo, defined as the ratio of the surface reflected incoming and outgoing solar radiation, is one of the key geophysical variables controlling the surface radiation budget. Surface shortwave albedo is widely use...
introduction: the modis facility for the earth observing system is a key element that supports ambitious goals related to studying the earth as a system. one of the modis products is high quality land surface temperature data that product in terra and aqua platforms. knowledge of the lst provides information on the temporal and spatial variations of the surface equilibrium state and is of funda...
Satellite-based temperature measurements are an important indicator for global climate change studies over large areas. Records from Moderate Resolution Imaging Spectroradiometer (MODIS), Advanced Very High Resolution Radiometer (AVHRR) and (Advanced) Along Track Scanning Radiometer ((A)ATSR) are providing long-term time series information. Assessing the quality of remote sensing-based temperat...
An operational method has been proposed to estimate the leaf area index (LAI) from satellite imagery in the framework of EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF). This study evaluates the performance of the LSA SAF LAI retrieval algorithm when prototyped to VEGETATION/CYCLOPES and MODIS reflectances over Europe for the 2000-2003 period. The results indicate tha...
Thermal imagery is widely used to quantify land surface temperatures to monitor the spatial extent and thermal intensity of the urban heat island (UHI) effect. Previous research has applied Landsat images, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images, Moderate Resolution Imaging Spectroradiometer (MODIS) images, and other coarseto medium-resolution remotely sens...
The soil surface layer is a critical boundary between land and atmosphere, and soil moisture is a critical condition affecting interaction of land surface and atmosphere. The root zone can be defined as the top 100 cm of the soil layer. Remotely sensed data can indirectly measure soil moisture, but the signal only penetrates the top few centimeters, so soil moisture at deeper layers must be est...
This paper proposes an algorithm to detect coal fires using time-series Land Surface Temperature (LST) maps generated from data acquired by a wide-swath Visible Infrared Imaging Radiometer Suite (VIIRS) satellite sensor. VIIRS provides remotely sensed thermal images daily during daytime and nighttime. The proposed primarily uses the trend component extracted at pixel level LST Seasonal Trend de...
The determination of air temperature is important in the energy balance calculation, hydrology and meteorological studies. In this regard, the limited number of meteorological stations is one of the serious problems for air temperature determination on a large spatial scale. The remote sensing technique by covering large areas and using updated satellite images might be appropriate for estimati...
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