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Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection
Irina Emelyanova, Tim R. McVicar, Thomas G. Van Niel, Ling Tao Li, Albert I. J. M. van Dijk
CSIRO Land and Water Commonwealth Scientific and Industrial Research Organisation
来源Remote Sensing of Environment
年份2013
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逐年被引趋势
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375
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领域内被引倍数
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同类平均 = 1
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物理Remote Sensing in Agriculture
Land Use and Ecosystem Services · Urban Heat Island Mitigation
参考文献 44
Partitioning the variance between space and time
被引 36Fubao Sun, Michael L. Roderick, Graham D. Farquhar · Geophysical Research Letters · 2010
Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology
被引 283Jessica J. Walker, Kirsten M. de Beurs, Randolph H. Wynne · Remote Sensing of Environment · 2011
Current and potential uses of optical remote sensing in rice-based irrigation systems: a review
被引 78Thomas G. Van Niel, Tim R. McVicar · Australian Journal of Agricultural Research · 2004
此处列出前 3 条
引用本文 375
A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
被引 859Linglin Zeng, Brian Wardlow, Daxiang Xiang · Remote Sensing of Environment · 2019
Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review
被引 790Chang Huang, Yun Chen, Shiqiang Zhang · Reviews of Geophysics · 2018
A flexible spatiotemporal method for fusing satellite images with different resolutions
被引 753Xiaolin Zhu, Eileen H. Helmer, Feng Gao · Remote Sensing of Environment · 2015
按被引量排序，此处列出前 3 条