PDF DownloadHTML ]" id="html" rel="external">HTML
[1]ZHANG Peng,ZHANG Shengwei,XU Ran,et al.Spatiotemporal Dynamics of Evapotranspiration in Horqin Sandy Land Based on Remote Sensing[J].Research of Soil and Water Conservation,2021,28(03):399-405.
Copy

Spatiotemporal Dynamics of Evapotranspiration in Horqin Sandy Land Based on Remote Sensing

References:
[1] 张宝忠,许迪,刘钰,等.多尺度蒸散发估测与时空尺度拓展方法研究进展[J].农业工程学报,2015,31(6):8-16.
[2] 贺添,邵全琴.基于MOD16产品的我国2001—2010年蒸散发时空格局变化分析[J].地球信息科学学报,2014,16(6):979-988.
[3] 童新,刘廷玺,杨大文,等.半干旱沙地—草甸区水面蒸发模拟及其影响因子辨识[J].干旱区地理,2015,38(1):10-17.
[4] Li Z L, Tang R, Wan Z, et al. A review of current methodologies for regional evapotranspiration estimation from remotely sensed data[J]. Sensors, 2009,9(5):3801-3853.
[5] Yang Y, Shang S. A hybrid dual-source scheme and trapezoid framework-based evapotranspiration model(HTEM)using satellite images:Algorithm and model test[J]. Journal of Geophysical Research:Atmospheres, 2013,118(5):2284-2300.
[6] Long D, Longuevergne L, Scanlon B R. Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites[J]. Water Resources Research, 2014,50(2):1131-1151.
[7] Li F, Cao R, Zhao Y, et al. Remote sensing Penman-Monteith model to estimate catchment evapotranspiration considering the vegetation diversity[J]. Theoretical and Applied Climatology, 2017,127(1/2):111-121.
[8] Semmens K A, Anderson M C, Kustas W P, et al. Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach[J]. Remote Sensing of Environment, 2016,185:155-170.
[9] Häusler M, Conceição N, Tezza L, et al. Estimation and partitioning of actual daily evapotranspiration at an intensive olive grove using the STSEB model based on remote sensing[J]. Agricultural Water Management, 2018,201:188-198.
[10] 张圣微,张鹏,张睿,等.科尔沁沙地典型区生长季蒸散发估算及其变化特征[J].水科学进展,2018,29(6):768-778.
[11] Bastiaanssen W G M, Menenti M, Feddes R A, et al. A remote sensing surface energy balance algorithm for land(SEBAL).1. Formulation[J]. Journal of Hydrology, 1998,212:198-212.
[12] Bastiaanssen W G M, Pelgrum H, Wang J, et al. A remote sensing surface energy balance algorithm for land(SEBAL).:Part 2:Validation[J]. Journal of Hydrology, 1998,212:213-229.
[13] Bastiaanssen W G M, Noordman E J M, Pelgrum H, et al. SEBAL model with remotely sensed data to improve water-resources management under actual field conditions[J]. Journal of Irrigation and Drainage Engineering, 2005,131(1):85-93.
[14] Kong J, Hu Y, Yang L, et al. Estimation of evapotranspiration for the blown-sand region in the Ordos basin based on the SEBAL model[J]. International Journal of Remote Sensing, 2019,40(5/6):1945-1965.
[15] Allen R G, Tasumi M, Trezza R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration(METRIC)—Model[J]. Journal of Irrigation and Drainage Engineering, 2007,133(4):380-394.
[16] Tang R, Li Z L, Chen K S, et al. Spatial-scale effect on the SEBAL model for evapotranspiration estimation using remote sensing data[J]. Agricultural and Forest Meteorology, 2013,174:28-42.
[17] Tang R, Li Z L. Evaluation of two end-member-based models for regional land surface evapotranspiration estimation from MODIS data[J]. Agricultural and Forest Meteorology, 2015,202:69-82.
[18] Dewar R C. maximum entropy production and the fluctuation theorem[J]. Journal of Physics A:Mathematical and General, 2005,38(21):L371.
[19] Wang J, Bras R L. A model of surface heat fluxes based on the theory of maximum entropy production[J]. Water Resources Research, 2009,45(11):W11422.
[20] Wang J, Bras R L. A model of evapotranspiration based on the theory of maximum entropy production[J]. Water Resources Research, 2011,47(3):W03521.
[21] Hajji I, Nadeau D F, Music B, et al. Application of the maximum entropy production model of evapotranspiration over partially vegetated water-limited land surfaces[J]. Journal of Hydrometeorology, 2018,19(6):989-1005.
[22] Wang J, Salvucci G D, Bras R L. An extremum principle of evaporation[J]. Water Resources Research, 2004,40(9):W09303.
[23] Wang J, Bras R L, Lerdau M, et al. A maximum hypothesis of transpiration[J]. Journal of Geophysical Research:Biogeosciences, 2007,112(G3):G03010.
[24] Huang S Y, Deng Y, Wang J. Revisiting the global surface energy budgets with maximum-entropy-production model of surface heat fluxes[J]. Climate Dynamics, 2017,49(5/6):1531-1545.
[25] Xu D, Agee E, Wang J, et al. Estimation of evapotranspiration of Amazon rainforest using the maximum entropy production method[J]. Geophysical Research Letters, 2019,46(3):1402-1412.
[26] Wang J, Bras R L, Sivandran G, et al. A simple method for the estimation of thermal inertia[J]. Georl, 2010,37(5):L05404.
[27] Wang J, Bras R L. An extremum solution of the Monin-Obukhov similarity equations[J]. Journal of the Atmospheric Sciences, 2010,67(2):485-499.
[28] 张鹏.基于最大熵增原理的科尔沁沙地蒸散发估算及区域水量平衡计算[D].内蒙古农业大学(呼和浩特市),2019.
[29] Du C, Ren H, Qin Q, et al. A practical split-window algorithm for estimating land surface temperature from Landsat 8 data[J]. Remote Sensing, 2015,7(1):647-665.
[30] Ren H, Du C, Qin Q, et al. Atmospheric water vapor retrieval from Landsat 8 and its validation[C]∥2014 Ieee Geoscience and Remote Sensing Symposium. Ieee, 2014.
[31] Peng G, Li J, Chen Y, et al. High-resolution surface relative humidity computation using MODIS image in Peninsular Malaysia[J]. Chinese Geographical Science, 2006,16(3):260-264.
[32] Guo Y, Cheng J. Feasibility of estimating cloudy-sky surface longwave net radiation using satellite-derived surface shortwave net radiation[J]. Remote Sens.,2018,10(4),596, DOI:https:∥doi. org/10,3390/rs10040596.
[33] Jian S, Zhao C, Fang S, et al. Effects of different vegetation restoration on soil water storage and water balance in the Chinese Loess Plateau[J]. Agricultural and Forest Meteorology, 2015,206:85-96.
[34] Schreiner-McGraw A P, Vivoni E, Mascaro G, et al. Closing the water balance with cosmic-ray soil moisture measurements and assessing their relation to evapotranspiration in two semiarid watersheds[J]. Hydrology and Earth System Sciences, 2016,20(1):329-345
Similar References:

Memo

-

Last Update: 2021-04-20

Online:950       Total Traffic Statistics:23881471

Website Copyright: Research of Soil and Water Conservation Shaanxi ICP No.11014090-10
Tel: 029-87012705 Address: Editorial Department of Research of Soil and Water Conservation, No. 26, Xinong Road, Yangling, Shaanxi Postcode: 712100