Zahira, S.,
Abderrahmane, H.,
Mederbal, K.,
Frederic, D.,
Mapping Latent Heat Flux in the Western Forest Covered Regions of
Algeria Using Remote Sensing Data and a Spatialized Model,
RS(1), No. 4, December 2009, pp. 795-817.
DOI Link
1203
BibRef
Maltese, A.[Antonino],
Awada, H.[Hassan],
Capodici, F.[Fulvio],
Ciraolo, G.[Giuseppe],
Loggia, G.L.[Goffredo La],
Rallo, G.[Giovanni],
On the Use of the Eddy Covariance Latent Heat Flux and Sap Flow
Transpiration for the Validation of a Surface Energy Balance Model,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Sun, Y.[Yibo],
Jia, L.[Li],
Chen, Q.[Qiting],
Zheng, C.[Chaolei],
Optimizing Window Length for Turbulent Heat Flux Calculations from
Airborne Eddy Covariance Measurements under Near Neutral to Unstable
Atmospheric Stability Conditions,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Kumar, S.[Sujay],
Holmes, T.[Thomas],
Mocko, D.M.[David M.],
Wang, S.[Shugong],
Peters-Lidard, C.[Christa],
Attribution of Flux Partitioning Variations between Land Surface
Models over the Continental U.S.,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
Plant and soil loss.
BibRef
Dhungel, R.[Ramesh],
Allen, R.G.[Richard G.],
Trezza, R.[Ricardo],
Robison, C.W.[Clarence W.],
Comparison of Latent Heat Flux Using Aerodynamic Methods and Using
the Penman-Monteith Method with Satellite-Based Surface Energy
Balance,
RS(6), No. 9, 2014, pp. 8844-8877.
DOI Link
1410
BibRef
Feng, F.[Fei],
Chen, J.Q.[Ji-Quan],
Li, X.L.[Xiang-Lan],
Yao, Y.J.[Yun-Jun],
Liang, S.L.[Shun-Lin],
Liu, M.[Meng],
Zhang, N.N.[Nan-Nan],
Guo, Y.[Yang],
Yu, J.[Jian],
Sun, M.[Minmin],
Validity of Five Satellite-Based Latent Heat Flux Algorithms for
Semi-arid Ecosystems,
RS(7), No. 12, 2015, pp. 15853.
DOI Link
1601
BibRef
Yang, Y.M.[Yong-Min],
Qiu, J.X.[Jian-Xiu],
Su, H.B.[Hong-Bo],
Bai, Q.M.[Qing-Mei],
Liu, S.[Suhua],
Li, L.[Lu],
Yu, Y.L.[Yi-Lei],
Huang, Y.[Yaoxian],
A One-Source Approach for Estimating Land Surface Heat Fluxes Using
Remotely Sensed Land Surface Temperature,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Eswar, R.[Rajasekaran],
Sekhar, M.[Muddu],
Bhattacharya, B.K.[Bimal K.],
Bandyopadhyay, S.[Soumya],
Spatial Disaggregation of Latent Heat Flux Using Contextual Models
over India,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Liu, K.[Kai],
Su, H.B.[Hong-Bo],
Li, X.[Xueke],
Comparative Assessment of Two Vegetation Fractional Cover Estimating
Methods and Their Impacts on Modeling Urban Latent Heat Flux Using
Landsat Imagery,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Chen, S.S.[Shan-Shan],
Hu, D.[Deyong],
Parameterizing Anthropogenic Heat Flux with an Energy-Consumption
Inventory and Multi-Source Remote Sensing Data,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
He, X.L.[Xin-Lei],
Xu, T.R.[Tong-Ren],
Bateni, S.M.[Sayed M.],
Neale, C.M.U.[Christopher M. U.],
Auligne, T.[Thomas],
Liu, S.M.[Shao-Min],
Wang, K.C.[Kai-Cun],
Mao, K.B.[Ke-Biao],
Yao, Y.J.[Yun-Jun],
Evaluation of the Weak Constraint Data Assimilation Approach for
Estimating Turbulent Heat Fluxes at Six Sites,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Wang, S.[Shasha],
Hu, D.[Deyong],
Chen, S.S.[Shan-Shan],
Yu, C.[Chen],
A Partition Modeling for Anthropogenic Heat Flux Mapping in China,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Wang, Y.[Yipu],
Li, R.[Rui],
Min, Q.L.[Qi-Long],
Zhang, L.[Leiming],
Yu, G.R.[Gui-Rui],
Bergeron, Y.[Yves],
Estimation of Vegetation Latent Heat Flux over Three Forest Sites in
ChinaFLUX using Satellite Microwave Vegetation Water Content Index,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Krayenhoff, E.S.[E. Scott],
Wu, Z.[Zhifeng],
Shi, Q.[Qian],
Ouyang, X.Y.[Xiao-Ying],
Parameterization of Urban Sensible Heat Flux from Remotely Sensed
Surface Temperature: Effects of Surface Structure,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Cheng, Z.[Zian],
Pang, X.P.[Xiao-Ping],
Zhao, X.[Xi],
Stein, A.[Alfred],
Heat Flux Sources Analysis to the Ross Ice Shelf Polynya Ice
Production Time Series and the Impact of Wind Forcing,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Crespo, J.A.[Juan A.],
Posselt, D.J.[Derek J.],
Asharaf, S.[Shakeel],
CYGNSS Surface Heat Flux Product Development,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Ge, N.[Nan],
Zhong, L.[Lei],
Ma, Y.[Yaoming],
Cheng, M.[Meilin],
Wang, X.[Xian],
Zou, M.[Mijun],
Huang, Z.[Ziyu],
Estimation of Land Surface Heat Fluxes Based on Landsat 7 ETM+ Data
and Field Measurements over the Northern Tibetan Plateau,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Xu, J.[Jia],
Yao, Y.J.[Yun-Jun],
Liang, S.L.[Shun-Lin],
Liu, S.M.[Shao-Min],
Fisher, J.B.[Joshua B.],
Jia, K.[Kun],
Zhang, X.T.[Xiao-Tong],
Lin, Y.[Yi],
Zhang, L.L.[Li-Lin],
Chen, X.W.[Xiao-Wei],
Merging the MODIS and Landsat Terrestrial Latent Heat Flux Products
Using the Multiresolution Tree Method,
GeoRS(57), No. 5, May 2019, pp. 2811-2823.
IEEE DOI
1905
atmospheric boundary layer, atmospheric techniques,
atmospheric temperature, land cover, land surface temperature,
terrestrial latent heat flux (LE)
BibRef
Xu, J.[Jia],
Yao, Y.J.[Yun-Jun],
Tan, K.[Kanran],
Li, Y.[Yufu],
Liu, S.M.[Shao-Min],
Shang, K.[Ke],
Jia, K.[Kun],
Zhang, X.T.[Xiao-Tong],
Chen, X.W.[Xiao-Wei],
Bei, X.Y.[Xiang-Yi],
Integrating Latent Heat Flux Products from MODIS and Landsat Data
Using Multi-Resolution Kalman Filter Method in the Midstream of Heihe
River Basin of Northwest China,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Li, X.J.[Xiao-Jun],
Xin, X.Z.[Xiao-Zhou],
Jiao, J.J.[Jing-Jun],
Peng, Z.Q.[Zhi-Qing],
Zhang, H.L.[Hai-Long],
Shao, S.S.[Shan-Shan],
Liu, Q.H.[Qin-Huo],
Estimating Subpixel Surface Heat Fluxes through Applying
Temperature-Sharpening Methods to MODIS Data,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Wang, X.Y.[Xuan-Yu],
Yao, Y.J.[Yun-Jun],
Zhao, S.H.[Shao-Hua],
Jia, K.[Kun],
Zhang, X.T.[Xiao-Tong],
Zhang, Y.[Yuhu],
Zhang, L.[Lilin],
Xu, J.[Jia],
Chen, X.W.[Xiao-Wei],
MODIS-Based Estimation of Terrestrial Latent Heat Flux over North
America Using Three Machine Learning Algorithms,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link
1802
BibRef
Yang, C.[Cheng],
Wu, T.[Tonghua],
Wang, J.[Jiemin],
Yao, J.[Jimin],
Li, R.[Ren],
Zhao, L.[Lin],
Xie, C.[Changwei],
Zhu, X.F.[Xiao-Fan],
Ni, J.[Jie],
Hao, J.[Junming],
Estimating Surface Soil Heat Flux in Permafrost Regions Using Remote
Sensing-Based Models on the Northern Qinghai-Tibetan Plateau under
Clear-Sky Conditions,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Nkwinkwa Njouodo, A.S.I.[Arielle Stela Imbol],
Rouault, M.[Mathieu],
Johannessen, J.A.[Johnny A.],
Latent Heat Flux in the Agulhas Current,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Yang, C.[Cheng],
Wu, T.[Tonghua],
Yao, J.[Jimin],
Li, R.[Ren],
Xie, C.[Changwei],
Hu, G.[Guojie],
Zhu, X.F.[Xiao-Fan],
Zhang, Y.[Yinghui],
Ni, J.[Jie],
Hao, J.[Junming],
Li, X.F.[Xiang-Fei],
Ma, W.[Wensi],
Wen, A.[Amin],
An Assessment of Using Remote Sensing-based Models to Estimate Ground
Surface Soil Heat Flux on the Tibetan Plateau during the Freeze-thaw
Process,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Ocean Temperature, Sea Surface Temperature, SST .