|
[1]
|
Jung, M., Reichstein, M., Ciais, P., Seneviratne, S.I., Sheffield, J., Goulden, M.L., et al. (2010) Recent Decline in the Global Land Evapotranspiration Trend Due to Limited Moisture Supply. Nature, 467, 951-954. [Google Scholar] [CrossRef] [PubMed]
|
|
[2]
|
Shukla, J. and Mintz, Y. (1982) Influence of Land-Surface Evapotranspiration on the Earth’s Climate. Science, 215, 1498-1501. [Google Scholar] [CrossRef] [PubMed]
|
|
[3]
|
Sharma, V., Kilic, A. and Irmak, S. (2016) Impact of Scale/Resolution on Evapotranspiration from Landsat and MODIS Images. Water Resources Research, 52, 1800-1819. [Google Scholar] [CrossRef]
|
|
[4]
|
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.
|
|
[5]
|
Yang, Y., Shang, S. and Jiang, L. (2012) Remote Sensing Temporal and Spatial Patterns of Evapotranspiration and the Responses to Water Management in a Large Irrigation District of North China. Agricultural and Forest Meteorology, 164, 112-122. [Google Scholar] [CrossRef]
|
|
[6]
|
Ma, Z., Ray, R.L. and He, Y. (2018) Assessing the Spatiotemporal Distributions of Evapotranspiration in the Three Gorges Reservoir Region of China Using Remote Sensing Data. Journal of Mountain Science, 15, 2676-2692. [Google Scholar] [CrossRef]
|
|
[7]
|
黄葵, 卢毅敏, 魏征, 等. 土地利用和气候变化对海河流域蒸散发时空变化的影响[J]. 地球信息科学学报, 2019, 21(12): 1888-1902.
|
|
[8]
|
Xu, T., Liang, S. and Liu, S. (2011) Estimating Turbulent Fluxes through Assimilation of Geostationary Operational Environmental Satellites Data Using Ensemble Kalman Filter. Journal of Geophysical Research, 116, D09109. [Google Scholar] [CrossRef]
|
|
[9]
|
Bastiaanssen, W.G.M., Pelgrum, H., Wang, J., Ma, Y., Moreno, J.F., Roerink, G.J., et al. (1998) A Remote Sensing Surface Energy Balance Algorithm for Land (SEBAL): Part 2: Validation. Journal of Hydrology, 212, 213-229. [Google Scholar] [CrossRef]
|
|
[10]
|
Cleugh, H.A., Leuning, R., Mu, Q. and Running, S.W. (2007) Regional Evaporation Estimates from Flux Tower and MODIS Satellite Data. Remote Sensing of Environment, 106, 285-304. [Google Scholar] [CrossRef]
|
|
[11]
|
Cherchali, S., Amram, O. and Flouzat, G. (2000) Retrieval of Temporal Profiles of Reflectances from Simulated and Real NOAA-AVHRR Data over Heterogeneous Landscapes. International Journal of Remote Sensing, 21, 753-775. [Google Scholar] [CrossRef]
|
|
[12]
|
Barrios, J.M., Arboleda, A. and Gellens-Meulenberghs, F. (2020) The LSA-SAF ET Product: An Operational Service of Sub-Daily Estimation of Evapotranspiration in Near-Real Time across Europe, Africa and Eastern South America (No. EGU2020-18108). Copernicus Meetings.
|
|
[13]
|
Jia, L., Xi, G., Liu, S., Huang, C., Yan, Y. and Liu, G. (2009) Regional Estimation of Daily to Annual Regional Evapotranspiration with MODIS Data in the Yellow River Delta Wetland. Hydrology and Earth System Sciences, 13, 1775-1787. [Google Scholar] [CrossRef]
|
|
[14]
|
Mu, Q., Zhao, M. and Running, S.W. (2011) Improvements to a MODIS Global Terrestrial Evapotranspiration Algorithm. Remote Sensing of Environment, 115, 1781-1800. [Google Scholar] [CrossRef]
|
|
[15]
|
Mu, Q., Heinsch, F.A., Zhao, M. and Running, S.W. (2007) Development of a Global Evapotranspiration Algorithm Based on MODIS and Global Meteorology Data. Remote Sensing of Environment, 111, 519-536. [Google Scholar] [CrossRef]
|
|
[16]
|
Ramoelo, A., Majozi, N., Mathieu, R., Jovanovic, N., Nickless, A. and Dzikiti, S. (2014) Validation of Global Evapotranspiration Product (MOD16) Using Flux Tower Data in the African Savanna, South Africa. Remote Sensing, 6, 7406-7423. [Google Scholar] [CrossRef]
|
|
[17]
|
Tang, R., Shao, K., Li, Z., Wu, H., Tang, B., Zhou, G., et al. (2015) Multiscale Validation of the 8-Day MOD16 Evapotranspiration Product Using Flux Data Collected in China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 1478-1486. [Google Scholar] [CrossRef]
|
|
[18]
|
王永锋, 靖娟利, 马炳鑫. 滇黔桂岩溶区ET时空特征及气候因子驱动[J]. 水土保持研究, 2022, 29(5): 235-243.
|
|
[19]
|
Sen, P.K. (1968) Estimates of the Regression Coefficient Based on Kendall’s Tau. Journal of the American Statistical Association, 63, 1379-1389. [Google Scholar] [CrossRef]
|
|
[20]
|
He, J., Shi, X. and Fu, Y. (2021) Identifying Vegetation Restoration Effectiveness and Driving Factors on Different Micro-Topographic Types of Hilly Loess Plateau: From the Perspective of Ecological Resilience. Journal of Environmental Management, 289, Article ID: 112562. [Google Scholar] [CrossRef] [PubMed]
|
|
[21]
|
Verbesselt, J., Hyndman, R., Newnham, G. and Culvenor, D. (2010) Detecting Trend and Seasonal Changes in Satellite Image Time Series. Remote Sensing of Environment, 114, 106-115. [Google Scholar] [CrossRef]
|
|
[22]
|
Fang, X., Zhu, Q., Ren, L., Chen, H., Wang, K. and Peng, C. (2018) Large-Scale Detection of Vegetation Dynamics and Their Potential Drivers Using MODIS Images and BFAST: A Case Study in Quebec, Canada. Remote Sensing of Environment, 206, 391-402. [Google Scholar] [CrossRef]
|
|
[23]
|
努尔沙吾列提·达开, 任嘉伟. 1961-2020年新疆地区干旱演变时空特征分析[J]. 节水灌溉, 2024(2): 9-16.
|
|
[24]
|
Sobol, I.M. (1993) Sensitivity Estimates for Nonlinear Mathematical Model Math. Mathematical Modelling and Computational Experiments, 4, 407-414.
|
|
[25]
|
宫宇, 杨鹏年, 杨一飞, 单劲松, 王永平, 王永鹏, 周龙. 近20年渭干河流域蒸散发量演变特征与灌溉效率评价[J]. 节水灌溉, 2025(2): 62-70.
|