A brief introduction to BNU-HESM1.0 and its earth surface temperature simulations

2015 ◽  
Vol 32 (12) ◽  
pp. 1683-1688 ◽  
Author(s):  
Shili Yang ◽  
Wenjie Dong ◽  
Jieming Chou ◽  
Jinming Feng ◽  
Xiaodong Yan ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Earth Surface

ESTIMATION OF THE EARTH SURFACE TEMPERATURE BY HIMAWARI-8/AHI

2016 ◽  
Vol 72 (2) ◽  
pp. II_1-II_6 ◽  
Author(s):  
Yuuki UCHIDA ◽  
Tomohito ASAKA ◽  
Takashi NONAKA ◽  
Keishi IWASHITA ◽  
Toshiro SUGIMURA
Keyword(s):  
Surface Temperature ◽  
Earth Surface ◽  
The Earth

Iterative self‐consistent approach for Earth surface temperature determination

2005 ◽  
Vol 26 (1) ◽  
pp. 185-192 ◽  
Author(s):  
Y. Xue ◽  
Guoyin Cai ◽  
Y. N. Guan ◽  
A. P. Cracknell ◽  
Jiakui Tang
Keyword(s):  
Surface Temperature ◽  
Earth Surface ◽  
Temperature Determination ◽  
Self Consistent ◽  
Consistent Approach

scholarly journals A tool for analysis of the influence of the Earth surface soil layer temperature on the inhomogeneity of grain crops development by the Earth remote sensing data

2021 ◽  
Author(s):  
R.V. Brezhnev ◽  
Yu.A. Maglinets ◽  
K.V. Raevich ◽  
V.G. Margaryan
Keyword(s):  
Surface Temperature ◽  
Atmospheric Correction ◽  
Sensor Data ◽  
Relational Model ◽  
Landsat 8 ◽  
Earth Surface ◽  
Agricultural Crops ◽  
Landsat 8 Oli ◽  
The Earth ◽  
Vegetation Heterogeneity

The work is devoted to the analysis of the influence of the earth surface temperature on the inhomogeneity of the agricultural crops development. The aim of the work is to expand the object-relational model for describing the inhomogeneous spatial structure of a spatial object by including surface temperature as one of the key features that allow determining the cause of vegetation heterogeneity, along with relief features, differences in the soil chemical composition and other significant characteristics. Experimental studies are carried out at sites located in Sukhobuzimsky district of Krasnoyarsk Territory, for which agricultural crops (grains) and the their sowing dates are known a priori, which allows stating any facts of the vegetation development deviation from the normative trajectory with reference to the sequence and timing norms of phenological phase changing. Landsat-8 OLI (Operational Land Imager) TIRS (Thermal Infrared Sensor) data are used as initial data for temperature measurements. Objects of research are presented in the form of a polygon map in SHP format. The temperature values are calculated using the algorithm for estimating the earth temperature developed by Weng Q., Lu D. and Schubring J. The surface reflectance values are the NDVI vegetation index values also obtained from the Landsat-8 OLI data that underwent atmospheric correction by the DOS method. The research results are implemented in the form of a software module and integrated into the Earth remote monitoring (ERM) system of SFU Space and Information Technologies Institute (SITI). The results are used within the concept of object-oriented monitoring of spatial objects developed by the team of authors, and represent index images of the surface temperature of objects, as well as vector schematic maps.

scholarly journals Reduction of Cloud Influence on the Earth Surface Temperature by Himawari-8/AHI Data

2018 ◽  
Vol 47 (6) ◽  
pp. 327-334
Author(s):  
Yuuki UCHIDA ◽  
Tomohito ASAKA ◽  
Takashi NONAKA ◽  
Keishi IWASHITA ◽  
Toshiro SUGIMURA ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Earth Surface ◽  
The Earth

Earth Surface Temperature Changes above Latitude 45 Degrees North from 1973 to 2008

2014 ◽  
Vol 13 (3) ◽  
Author(s):  
Wandee Wanishsakpong ◽  
Kehui Luo ◽  
Phattrawan Tongkumchum
Keyword(s):  
Surface Temperature ◽  
Earth Surface ◽  
Temperature Changes
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