Rational design of long-wave infrared band for application of the earth surface temperature observation

2012 ◽  
Author(s):  
Yunfei Bao ◽  
Hongyan He ◽  
Feng Zhou
Keyword(s):  
Surface Temperature ◽  
Rational Design ◽  
Earth Surface ◽  
Infrared Band ◽  
The Earth ◽  
Long Wave ◽  
Temperature Observation ◽  
Long Wave Infrared

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

Design of concentric multiscale optical system for long-wave infrared band

2020 ◽  
Author(s):  
Yang Shen ◽  
WANG Hu ◽  
XUE Yaoke ◽  
LIU Meiying ◽  
JIE Yongjie ◽  
...  
Keyword(s):  
Optical System ◽  
Infrared Band ◽  
Long Wave ◽  
Long Wave Infrared

Development of a Long-Wave Infrared Band-Edge (LWIR BE) thermometry instrument

2018 ◽  
Vol 89 (7) ◽  
pp. 074903
Author(s):  
J. Marquis ◽  
K. Roodenko ◽  
P. Pinsukanjana ◽  
W. Frensley
Keyword(s):  
Band Edge ◽  
Infrared Band ◽  
Long Wave ◽  
Long Wave Infrared

Feasibility study of electron transfer quantum well infrared photodetectors for spectral tuning in the long-wave infrared band

2013 ◽  
Vol 114 (19) ◽  
pp. 194501
Author(s):  
Greg Jolley ◽  
Nima Dehdashti Akhavan ◽  
Gilberto Umana-Membreno ◽  
Jarek Antoszewski ◽  
Lorenzo Faraone
Keyword(s):  
Electron Transfer ◽  
Quantum Well ◽  
Feasibility Study ◽  
Infrared Photodetectors ◽  
Spectral Tuning ◽  
Infrared Band ◽  
Quantum Well Infrared Photodetectors ◽  
Long Wave ◽  
Long Wave Infrared

scholarly journals EFFECTS OF GLOBAL WARMING

2015 ◽  
Vol 3 (9SE) ◽  
pp. 1-2
Author(s):  
Basanti Jain
Keyword(s):  
Global Warming ◽  
Short Wave ◽  
Average Temperature ◽  
The Past ◽  
The Earth ◽  
Long Wave ◽  
The World ◽  
Abnormal Increase ◽  
Ionizing Radiations ◽  
Long Wave Infrared

The abnormal increase in the concentration of the greenhouse gases is resulting in higher temperatures. We call this effect is global warming. The average temperature around the world has increased about 1'c over 140 years, 75% of this has risen just over the past 30 years. The solar radiation, as it reaches the earth, produces "greenhouse effect" in the atmosphere. The thick atmospheric layers over the earth behaves as a glass surface, as it permits short wave radiations from coming in, but checks the outgoing long wave ones. As a result, gradually the atmosphere gets heated up during the day as well as night. If such an effect were not there in the atmosphere the ultraviolet, infrared and other ionizing radiations would have also entered our atmosphere and the very existence of life would have been endangered. The ozone layer shields the earth from the sun's harmful ultraviolet radiations. The warm earth emits long wave (infrared)   radiations, which is partly absorbed by the green house gaseous blanket. This atmospheric blanket raises the earth’s temperature.

scholarly journals Design of 40× imaging objective lens in long-wave infrared band

2021 ◽  
Vol 42 (2) ◽  
pp. 229-235
Author(s):  
LI Jincheng ◽  
◽  
◽  
XIE Hongbo ◽  
YANG Lei ◽  
...  
Keyword(s):  
Objective Lens ◽  
Infrared Band ◽  
Long Wave ◽  
Long Wave Infrared

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.

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