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- Title
- Using Simplified Thermal Inertia to Determine the Theoretical Dry Line in Feature Space for Evapotranspiration Retrieval.
- Creator
- Mi, Sujuan, Su, Hongbo, Zhang, Renhua, Tian, Jing
- Abstract/Description
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With the development of quantitative remote sensing, regional evapotranspiration (ET) modeling based on the feature space has made substantial progress. Among those feature space based evapotranspiration models, accurate determination of the dry/wet lines remains a challenging task. This paper reports the development of a new model, named DDTI (Determination of Dry line by Thermal Inertia), which determines the theoretical dry line based on the relationship between the thermal inertia and the...
Show moreWith the development of quantitative remote sensing, regional evapotranspiration (ET) modeling based on the feature space has made substantial progress. Among those feature space based evapotranspiration models, accurate determination of the dry/wet lines remains a challenging task. This paper reports the development of a new model, named DDTI (Determination of Dry line by Thermal Inertia), which determines the theoretical dry line based on the relationship between the thermal inertia and the soil moisture. The Simplified Thermal Inertia value estimated in the North China Plain is consistent with the value measured in the laboratory. Three evaluation methods, which are based on the comparison of the locations of the theoretical dry line determined by two models (DDTI model and the heat energy balance model), the comparison of ET results, and the comparison of the evaporative fraction between the estimates from the two models and the in situ measurements, were used to assess the performance of the new model DDTI. The location of the theoretical dry line determined by DDTI is more reasonable than that determined by the heat energy balance model. ET estimated from DDTI has an RMSE (Root Mean Square Error) of 56.77 W/m^2 and a bias of 27.17 W/m^2; while the heat energy balance model estimated ET with an RMSE of 83.36 W/m^2 and a bias of −38.42 W/m^2. When comparing the coeffcient of determination for the two models with the observations from Yucheng, DDTI demonstrated ET with an R^2 of 0.9065; while the heat energy balance model has an R^2 of 0.7729. When compared with the in situ measurements of evaporative fraction (EF) at Yucheng Experimental Station, the ET model based on DDTI reproduces the pixel scale EF with an RMSE of 0.149, much lower than that based on the heat energy balance model which has an RMSE of 0.220. Also, the EF bias between the DDTI model and the in situ measurements is 0.064, lower than the EF bias of the heat energy balance model, which is 0.084.
Show less - Date Issued
- 2015-08-24
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000052
- Format
- Citation
- Title
- A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale.
- Creator
- Zhang, Renhua, Rong, Yuan, Tian, Jing, Su, Hongbo, Li, Zhao-Liang, Liu, Suhua
- Abstract/Description
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This paper presents a method of estimating regional distributions of surface air temperature (Ta) and surface vapor pressure (ea), which uses remotely-sensed data and meteorological data as its inputs. The method takes into account the effects of both local driving force and horizontal advection on Ta and ea. Good correlation coefficients (R2) and root mean square error (RMSE) between the measurements of Ta/ea at weather stations and Ta/ea estimates were obtained; with R^2 of 0.77, 0.82 and 0...
Show moreThis paper presents a method of estimating regional distributions of surface air temperature (Ta) and surface vapor pressure (ea), which uses remotely-sensed data and meteorological data as its inputs. The method takes into account the effects of both local driving force and horizontal advection on Ta and ea. Good correlation coefficients (R2) and root mean square error (RMSE) between the measurements of Ta/ea at weather stations and Ta/ea estimates were obtained; with R^2 of 0.77, 0.82 and 0.80 and RMSE of 0.42K, 0.35K and 0.20K for Ta and with R^2 of 0.85, 0.88, 0.88 and RMSE of 0.24hpa, 0.35hpa and 0.16hpa for ea, respectively, for the three-day results. This result is much better than that estimated from the inverse distance weighted method (IDW). The performance of Ta/ea estimates at Dongping Lake illustrated that the method proposed in the paper also has good accuracy for a heterogeneous surface. The absolute biases of Ta and ea estimates at Dongping Lake from the proposed method are less than 0.5Kand 0.7hpa, respectively, while the absolute biases of them from the IDW method are more than 2K and 3hpa, respectively. Sensitivity analysis suggests that the Ta estimation method presented in the paper is most sensitive to surface temperature and that the ea estimation method is most sensitive to available energy.
Show less - Date Issued
- 2015-05-13
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000053
- Format
- Citation
- Title
- Regional Estimation of Remotely Sensed Evapotranspiration Using the Surface Energy Balance-Advection (SEB-A) Method.
- Creator
- Liu, Suhua, Su, Hongbo, Zhang, Renhua, Tian, Jing, Chen, Shaohui, Wang, Weizhen
- Date Issued
- 2016-08-05
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000192
- Format
- Citation
- Title
- Spatiotemporal expression of histone acetyltransferases, p300 and CBP, in developing embryonic hearts.
- Creator
- Chen, Guozhen, Zhu, Jing, Lv, Tiewei, Wu, Gang, Sun, Hui-Chao, Huang, Xupei, Tian, Jie
- Date Issued
- 2009
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000153
- Format
- Citation
- Title
- DNA methylation regulates mouse cardiac myofibril gene expression during heart development.
- Creator
- Xu, Yang, Liu, Lingjuan, Pan, Bo, Zhu, Jing, Nan, Changlong, Huang, Xupei, Tian, Jie
- Date Issued
- 2015-12-17
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000152
- Format
- Citation
- Title
- Non-Contact Measurement of the Spectral Emissivity through Active/Passive Synergy of CO2 Laser at 10.6 µm and 102F FTIR (Fourier Transform Infrared) Spectrometer.
- Creator
- Zhang, Renhua, Su, Hongbo, Tian, Jing, Mi, Su-Juan, Li, Zhao-Liang
- Abstract/Description
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In the inversion of land surface temperature (LST) from satellite data, obtaining the information on land surface emissivity is most challenging. How to solve both the emissivity and the LST from the underdetermined equations for thermal infrared radiation is a hot research topic related to quantitative thermal infrared remote sensing. The academic research and practical applications based on the temperature-emissivity retrieval algorithms show that directly measuring the emissivity of...
Show moreIn the inversion of land surface temperature (LST) from satellite data, obtaining the information on land surface emissivity is most challenging. How to solve both the emissivity and the LST from the underdetermined equations for thermal infrared radiation is a hot research topic related to quantitative thermal infrared remote sensing. The academic research and practical applications based on the temperature-emissivity retrieval algorithms show that directly measuring the emissivity of objects at a fixed thermal infrared waveband is an important way to close the underdetermined equations for thermal infrared radiation. Based on the prior research results of both the authors and others, this paper proposes a new approach of obtaining the spectral emissivity of the object at 8–14 µm with a single-band CO2 laser at 10.6 µm and a 102F FTIR spectrometer. Through experiments, the spectral emissivity of several key samples, including aluminum plate, iron plate, copper plate, marble plate, rubber sheet, and paper board, at 8–14 µm is obtained, and the measured data are basically consistent with the hemispherical emissivity measurement by a Nicolet iS10 FTIR spectrometer for the same objects. For the rough surface of materials, such as marble and rusty iron, the RMSE of emissivity is below 0.05. The differences in the field of view angle and in the measuring direction between the Nicolet FTIR method and the method proposed in the paper, and the heterogeneity in the degree of oxidation, polishing and composition of the samples, are the main reasons for the differences of the emissivities between the two methods.
Show less - Date Issued
- 2016-06-24
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000056
- Format
- Citation
- Title
- Inhibition of Histone H3K9 Acetylation by Anacardic Acid Can Correct the Over-Expression of Gata4 in the Hearts of Fetal Mice Exposed to Alcohol during Pregnancy.
- Creator
- Peng, Chang, Zhu, Jing, Sun, Hui-Chao, Huang, Xupei, Zhao, Wei-An, Zheng, Min, Liu, Lingjuan, Tian, Jie, Dettman, Robert
- Date Issued
- 2014-08-07
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000103
- Format
- Citation