&lt;title&gt;Surface temperature retrieval from MODIS data&lt;/title&gt;

Sobrino, José A.; Kharraz, Jauad El; Li, Z.-L.; Wan, Zhengming

doi:10.1117/12.417105

Cited by 3 publications

(2 citation statements)

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“…Due to the limitation of the number of ground observation stations, large-scale ET estimation mainly uses remote sensing observations and grid data as input parameters to establish a model for estimation. The uncertainty of this study may be due to the limitation of the ET model and error in the input grid data (Czajkowski et al, 2002;Fisher et al, 2008;Oechel et al, 2000;Sobrino et al, 2003).…”

Section: The Uncertaintymentioning

confidence: 99%

Shifting Contribution of Climatic Constraints on Evapotranspiration in the Boreal Forest

et al. 2021

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The global evapotranspiration (ET) shows an increasing trend with global warming in recent decades, while ET variation in different regions is still uncertain. Boreal forest ecosystem, as one of the most sensitive regions to climate change, are still poorly understood due to the sparse observation and the changing of ET in the boreal forest has been covered up for lower values compared to lower-latitude regions. Based on the PT-JPL model, we estimated the ET in the boreal forest during 1982-2015. The annual ET showed an increasing trend (0.5073 mm year -1 ). 76% of the boreal forest area is increasing which mainly occurred in Central Canada, Alaska, Central Siberia and Northern Europe, while 24% is decreasing, which occurred in the southern Siberia, Northern Mongolia and Northern Canada. The quantification of basic climatic factors shows that atmospheric demand is the main factor with an increasing trend which is accordance with the increasing temperature; ii) annual precipitation is increasing providing increasing water supply for boreal forest. Factorial experiments were also conducted and showed that the climatic constraints that contribute mainly to ET have gradually shifted from net radiation to moisture restriction in the boreal forest. The moisture control tendency indicated that ET in the boreal forest was gradually controlled by humidity rather than energy, suggesting a limited water supply and an intensifying water cycle in the boreal forest. Plain Language SummaryEvapotranspiration (ET) is the process which water returns to the atmosphere from the surface through evaporation and plant transpiration. The ET process absorbs energy and requires continuous water and energy supply and is affected by climate change and in turn generates feedback to the climate. The study of ET changes is of great significance to understand the future climate change and the dryness tendency. The global ET is found to be increasing in recent decades, but the variation in spatial is still poor understood. Thus, this study examinates the ET trend in boreal forests, one of the most sensitive regions to climate change. The results shows that the ET in boreal forest is increasing during 1982-2015, which is caused by the increasing atmospheric demand and precipitation according to the basic climatic control quantification.Experiments on environmental control factors show that the moisture has become the controlling factor that control ET. This may be related to the increased demand for atmospheric water caused by climate warming. Although regional precipitation also shows an increasing trend, this trend is Accepted ArticleThis article is protected by copyright. All rights reserved. lower than the increase of ET, indicating that climate change may cause water constraint on ET in the future, which will lead to regional drought.

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Section: The Uncertaintymentioning

confidence: 99%

Shifting Contribution of Climatic Constraints on Evapotranspiration in the Boreal Forest

et al. 2021

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“…In 1975, Mcmillin et al 12 First proposed a splitwindow algorithm to estimate sea surface temperature using the 4th and 5th channels of NOAA AVHRR based on two thermal infrared channels. In 2000, in order to improve the accuracy of the temperature information obtained by the split window algorithm, Sobrino et al 13 Added the quadratic term of the brightness temperature difference between the two thermal infrared channels into the algorithm of the Moderate Resolution Imaging Spectrometer (MODIS) data. In 2014, Rozenstein and Qin et al 14 Applied the split-window algorithm to the two thermal infrared bands of Landsat-8.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of thermal drainage of power plant based on FY-3D MERSI-2 thermal infrared remote sensing data

Gong

Wang²,

Hu³

et al. 2023

Earth and Space: From Infrared to Terahertz (ESIT 2022)

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The thermal drainage of coastal power plants have adversely affect the ecological environment in the nearby sea area. Thermal infrared remote sensing data has the characteristics of macroscopic and periodic revisiting, and has certain advantages in monitoring the sea surface temperature and the thermal drainage of coastal power plants.FY-3D MERSI-2 thermal infrared channel data has 250m spatial resolution and once a day revisit cycle, it has potential application value in the sea surface temperature monitoring. In the construction of sea surface temperature retrieval model, it is necessary to deal with all kinds of data needed for the construction of the experiment, including atmospheric profile data set, emissivity data, spectral response information, ocean station data, MODTRAN atmospheric radiation transmission simulation model data, etc., to meet the needs of the experimental process. A high-precision model temperature retrieval model based on split window algorithm is constructed by using FY-3D MERSI-2 thermal infrared channel data. It is used to retrieve the sea surface temperature in the waters near Fuqing nuclear power plant and analyze the environmental application problems such as the diffusion trend, temperature change trend, the form of thermal drainage and the distribution of temperature rise zone. Firstly, the FY-3D MERSI-2 data is subjected to geometric correction with the Geographic Lookup Table(GLT)，and radiation correction to obtain the image brightness temperature data. Then, the sea surface temperature is retrieved according to the established model, and it is matched with the thermal infrared data of Infrared Multi-spectral Imager of Gaofen-5 (GF-5 VIMS), with a spatial resolution of 40m in spectrum and geometry. Finally, the retrieval results of the two images on the same day are compared. The retrieval results are verified by the measured data, and compared with the retrieval results of the traditional split window algorithm retrieval models. The results show that: Based on the split window algorithm, the sea surface temperature retrieval model established by adding two thermal infrared channel temperature difference terms is better than 1.7K in accuracy. Because of its high frequency of time revisiting, the MERSI-2 data can monitor the distribution of temperature and drainage in different seasons and tidal levels. According to the statistics of base temperature, temperature rise area, tide and temperature rise diagram of FY-3D MERSI-2, it can realize ideal spatial distribution monitoring of warm water and drainage. According to the form of warm drainage, the monitoring results of GF-5 VIMS are relatively fine. After being discharged through the water outlet of the sewage pipe, due to the influence of the instantaneous sea surface wind direction and wind speed, it will be discharged to the southeast, and its diffuse shape is obvious. For small-scale power plants, it is suggested to combine the thermal infrared remote sensing data with high spatial resolution to improve the monitoring accura...

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WATERMED - WATer use Efficiency in natural vegetation and agricultural areas by Remote sensing in the MEDiterranean Basin

Sobrino

Raissouni²,

Olioso³

et al.

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing

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The general objective of the WATERMED project is to develop a comprehensive method for the study of the water use and the resistance to the drought of the natural and irrigated vegetation in the Mediterranean Basin (see Fig. 1), by means of a combined historical and current space-based remote sensing database, vegetation models and field measurements. The general concept is to integrate all available data of the studied environments.

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<title>Surface temperature retrieval from MODIS data</title>

Cited by 3 publications

References 0 publications

Shifting Contribution of Climatic Constraints on Evapotranspiration in the Boreal Forest

Shifting Contribution of Climatic Constraints on Evapotranspiration in the Boreal Forest

Monitoring of thermal drainage of power plant based on FY-3D MERSI-2 thermal infrared remote sensing data

WATERMED - WATer use Efficiency in natural vegetation and agricultural areas by Remote sensing in the MEDiterranean Basin

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