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Remote Sensing Letters Volume 8, 2017 - Issue 8
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Original Articles

Exploring the correlations between ten monthly climatic variables and the vegetation index of four different crop types at the global scale

Xiaoxuan LiuMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, ChinaView further author information
,
Le YuMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China;Joint Center for Global Change Studies, Beijing, ChinaCorrespondence[email protected]
View further author information
,
Hongshuo WangCollege of Information and Electrical Engineering, China Agricultural University, Beijing, ChinaView further author information
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Liheng ZhongCalifornia Department of Water Resources, Sacramento, CA, USAView further author information
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Hui LuMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China;Joint Center for Global Change Studies, Beijing, ChinaView further author information
,
Chaoqing YuMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China;Joint Center for Global Change Studies, Beijing, ChinaView further author information
&
Peng GongMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China;Joint Center for Global Change Studies, Beijing, ChinaView further author information
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Pages 752-760 | Received 29 Nov 2016, Accepted 19 Apr 2017, Published online: 28 Apr 2017

Citations (3)

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Read on this site (3)

Hongshuo Wang, Xiaoxuan Liu, Xiaodong Zhang, Pengxin Wang, Hui Lin & Le Yu. (2019) Spatiotemporal crop NDVI responses to climatic factors in mainland China. International Journal of Remote Sensing 40:1, pages 89-103.
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Xiaoxuan Liu, Le Yu, Wei Li, Dailiang Peng, Liheng Zhong, Le Li, Qinchuan Xin, Hui Lu, Chaoqing Yu & Peng Gong. (2018) Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data. International Journal of Remote Sensing 39:20, pages 6631-6645.
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Alireza Sharifi. (2018) Estimation of biophysical parameters in wheat crops in Golestan province using ultra-high resolution images. Remote Sensing Letters 9:6, pages 559-568.
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