نتایج جستجو برای: using satellite remotely sensed land surface temperature ts data acquired through the modis

تعداد نتایج: 17089234  

نظری فر, محمدهادی , بهبهانی , سید محمود رضا , رحیمی خوب, علی ,

  Air temperature prediction models using satellite data are based on two variables of land surface temperature and vegetation cover index. These variables are obtained by atmospheric corrections in the values for the above data. Water vapor, ozone, and atmospheric aerosol optical depth are required for the atmospheric correction of visible bands. However, no measurements are available for thes...

2011
A. Harris J. Dash

[1] Carbon flux models that are largely driven by remotely sensed data can be used to estimate gross primary productivity (GPP) over large areas, but despite the importance of peatland ecosystems in the global carbon cycle, relatively little attention has been given to determining their success in these ecosystems. This paper is the first to explore the potential of chlorophyll‐based vegetation...

2008
Y. J. Xiong G. Y. Qiu J. Yin S. H. Zhao X. Q. Wu P. Wang S. Zeng

Three-temperatures model (3T model) was a recently proposed algorithm, which could be used to estimate actual evapotranspiration (ET) and evaluate environmental quality. The key parameters included are air temperature, land surface temperature and reference land temperature. Compared with other conventional ET estimation algorithms, site-specific parameters, such as surface resistance and aerod...

Journal: :Sustainability 2022

Temperature is an important aspect of land–atmosphere studies and plays a key role in urban environmental change. With the continuous development satellite remote sensing sensors, technology has become means obtaining large-scale land surface temperature (LST) data. LST can be calculated from thermal infrared band data images to analyze changes determine its relationship with type. In this stud...

2006
A. Bentamy

Several scientific programs, including the Mediterranean Forecasting System Toward Environmental Predictions (MFSTEP project), request high space and time resolutions of surface wind speed and direction. The purpose of this paper is to focus on surface wind improvements over the global Mediterranean Sea, based on the blending near real time remotely sensed wind observations and ECMWF wind analy...

Journal: :Remote Sensing 2015
Xiaoying OuYang Li Jia Yingqi Pan Guangcheng Hu

The reliable estimation of spatially distributed Land Surface Temperature (LST) is useful for monitoring regional land surface heat fluxes. A single-channel method is developed to derive the LST over the Heihe River Basin in China using data from the infrared sensor (IRS) onboard the Chinese “Environmental and Disaster Monitoring and Forecasting with a Small Satellite Constellation” (HJ-1B for ...

2006
A. Bentamy

Several scientific programs, including the Mediterranean Forecasting System Toward Environmental Predictions (MFSTEP project), request high space and time resolutions of surface wind speed and direction. The purpose of this paper is to focus on surface wind improvements over the global Mediterranean Sea, based on the blending near 5 real time remotely sensed wind observations and ECMWF wind ana...

2014
R. Guzinski

Introduction Conclusions References

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید