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Original Articles

Use of Landsat TM and EOS MODIS imaging technologies for estimation of winter wheat yield in the North China Plain

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Pages 1029-1041 | Received 18 Feb 2010, Accepted 12 Nov 2010, Published online: 02 Nov 2011

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Yansong Bao, Youjing Zhang, Junzhan Wang & Jinzhong Min. (2014) Surface soil moisture estimation over dense crop using Envisat ASAR and Landsat TM imagery: an approach. International Journal of Remote Sensing 35:16, pages 6190-6212.
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Jichao Wang, Xuerui Gao, Kejing Huang, Yujie Yuan, Ai Wang, Leihua Dong & Xining Zhao. (2023) A remote sensing-based method for high-resolution crop water footprint quantification in an irrigation district with complex planting structure. Journal of Hydrology 617, pages 129030.
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Joel Segarra, Jon González-Torralba, Íker Aranjuelo, Jose Luis Araus & Shawn C. Kefauver. (2020) Estimating Wheat Grain Yield Using Sentinel-2 Imagery and Exploring Topographic Features and Rainfall Effects on Wheat Performance in Navarre, Spain. Remote Sensing 12:14, pages 2278.
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Juan Sui, Qiming Qin, Huazhong Ren, Yuanheng Sun, Tianyuan Zhang, Jiandong Wang & Shihong Gong. (2018) Winter Wheat Production Estimation Based on Environmental Stress Factors from Satellite Observations. Remote Sensing 10:6, pages 962.
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Laigang Wang, Yongchao Tian, Xia Yao, Yan Zhu & Weixing Cao. (2014) Predicting grain yield and protein content in wheat by fusing multi-sensor and multi-temporal remote-sensing images. Field Crops Research 164, pages 178-188.
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