Analysis on Correlation between Surface Thermal Infrared Bright Temperature and Nearby Air Temperature of the Underlay

2013 ◽  
Vol 357-360 ◽  
pp. 438-443
Author(s):  
Xu Yuan ◽  
Qing Lin Meng
Keyword(s):  
Remote Sensing ◽  
Air Temperature ◽  
Thermal Environment ◽  
Thermal Infrared ◽  
The Other ◽  
Infrared Remote Sensing ◽  
Low Altitude ◽  
The One ◽  
Urban Thermal Environment

In the thermal environment which influences people's living and working, air temperature near the underlay surface is the most important and direct, namely air temperature 1.5m high. Low altitude infrared remote sensing has the advantages: macro, timely and fast. If we can find the correlation between underlay surface bright temperature and air temperature 1.5m high, though the one and the correlation we can find out the other. Then the relate research on the urban thermal environment will be convenient and efficient. This paper is written for the analysis on the correlation.

Research on the Method of Working-Out near Ground Air Temperature Based on Low Altitude Remote Sensing Aerial Data

2012 ◽  
Vol 598 ◽  
pp. 215-219
Author(s):  
Xu Yuan ◽  
Qing Lin Meng
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Brightness Temperature ◽  
Air Temperature ◽  
Thermal Environment ◽  
Object Surface ◽  
Low Altitude ◽  
Urban Thermal Environment ◽  
The Relationship ◽  
Working Out

In the thermal environment which influences people's life, air temperature 1.5m high is the most important and direct. Through remote sensing we can quickly get the object surface temperature. But the air temperature can’t be got through it directly. [1]If we can excogitate the method of working-out the air temperature 1.5m high from the altitude remote sensing aerial data, the relate research on the urban thermal environment will be convenient and efficient. This paper is written to research this method and analyze the feasibility by means of analysing the relationship between the radiation brightness temperature, the underlay surface temperature and the air temperature 1.5m high.

scholarly journals Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data

2020 ◽  
Vol 13 (1) ◽  
pp. 86
Author(s):  
Yi Ma ◽  
Qi Jiang ◽  
Xianting Wu ◽  
Renshan Zhu ◽  
Yan Gong ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Air Temperature ◽  
Hybrid Rice ◽  
Remote Sensing Data ◽  
Rice Cultivars ◽  
Sensing Data ◽  
Gauss Function ◽  
Low Altitude ◽  
Rice Phenology ◽  
Heading Stage

Accurate monitoring of hybrid rice phenology (RP) is crucial for breeding rice cultivars and controlling fertilizing amount. The aim of this study is to monitor the exact date of hybrid rice initial heading stage (IHSDAS) based on low-altitude remote sensing data and analyze the influence factors of RP. In this study, six field experiments were conducted in Ezhou city and Lingshui city from 2016 to 2019, which involved different rice cultivars and nitrogen rates. Three low-altitude remote sensing platforms were used to collect rice canopy reflectance. Firstly, we compared the performance of normalized difference vegetation index (NDVI) and red edge chlorophyll index (CIred edge) for monitoring RP. Secondly, double logistic function (DLF), asymmetric gauss function (AGF), and symmetric gauss function (SGF) were used to fit time-series CIred edge for acquiring phenological curves (PC), the feature: maximum curvature (MC) of PC was extracted to monitor IHSDAS. Finally, we analyzed the influence of rice cultivars, N rates, and air temperature on RP. The results indicated that CIred edge was more appropriate than NDVI for monitoring RP without saturation problem. Compared with DLF and AGF, SGF could fit CIred edge without over fitting problem. MC of SGF_CIred edge from all three platforms showed good performance in monitoring IHSDAS with good robustness, R2 varied between 0.82 and 0.95, RMSE ranged from 2.31 to 3.81. In addition, the results demonstrated that high air temperature might cause a decrease of IHSDAS, and the growth process of rice was delayed when more nitrogen fertilizer was applied before IHSDAS. This study illustrated that low-altitude remote sensing technology could be used for monitoring field-scale hybrid rice IHSDAS accurately.

Estimation of crop transpiration and its scale effect based on ground and UAV thermal infrared remote sensing images

2021 ◽  
Vol 131 ◽  
pp. 126389
Author(s):  
Mengjie Hou ◽  
Fei Tian ◽  
S. Ortega-Farias ◽  
C. Riveros-Burgos ◽  
Tong Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Scale Effect ◽  
Thermal Infrared ◽  
Remote Sensing Images ◽  
Thermal Infrared Remote Sensing ◽  
Infrared Remote Sensing
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