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An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions

机译：对全球干旱和半干旱地区的遥感和模型评估协同态度的水文趋势评估

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Wenzhao Li; Hesham El-Askary; Rejoice Thomas; Surya Prakash Tiwari; Karuppasamy P. Manikandan; Thomas Piechota; Daniele Struppa;
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1. An integrated modelling and remote sensing approach for hydrological study in arid and semi-arid regions: the SUDMED Programme [J] . A. CHEHBOUNI, R. ESCADAFAL, B. DUCHEMIN, International journal of remote sensing . 2008,第17a18期

机译：干旱和半干旱地区水文研究的综合建模和遥感方法：SUDMED计划
2. Combination of lumped hydrological and remote-sensing models to evaluate water resources in a semi-arid high altitude ungauged watershed of Sierra Nevada (Southern Spain) [J] . J. Jódar, E. Carpintero, S. Martos-Rosillo, The Science of the Total Environment . 2018,第JUNa1期

机译：集总水文模型与遥感模型相结合，以评估内华达山脉（西班牙南部）半干旱高海拔无灌流域的水资源
3. Improved agricultural Water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling [J] . Manashi Paul, Adnan Rajib, Masoud Negahban-Azar, Science of the total environment . 2021,第Octa15期

机译：改善数据稀缺半干旱流域的农业水管理：在水文建模中集成远程感测叶面积指数的价值
4. Remotely Sensed Determination of Flood Surface Gradients for Hydrological Modelling of Semi-Arid Floodplains [C] . Simon N. Benger IEEE International Geoscience and Remote Sensing Symposium . 2003

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5. Using satellite remote sensing and hydrologic modeling to improve understanding of crop management and agricultural water use at regional to global scales [D] . Salmon, Jessica Meghan. 2013

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6. Hydrological Response to Land Cover Changes and Human Activities in Arid Regions Using a Geographic Information System and Remote Sensing [O] . Shereif H. Mahmoud, A. A. Alazba -1

机译：利用地理信息系统和遥感对干旱地区土地覆盖变化和人类活动的水文响应
7. An integrated modelling and remote sensing approach for hydrological study in arid and semi-arid regions : the SUDMED programme [O] . Chehbouni A., Escadafal R., Duchemin B., 2008

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An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions

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