Multi-Source Hydrological Data Products to Monitor High Asian River Basins and Regional Water Security

This project explored the integrated use of satellite, ground observations and hydrological distributed models to support water resources assessment and monitoring in High Mountain Asia (HMA). Hydrological data products were generated taking advantage of the synergies of European and Chinese data as...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Massimo Menenti, Xin Li, Li Jia, Kun Yang, Francesca Pellicciotti, Marco Mancini, Jiancheng Shi, Maria José Escorihuela, Chaolei Zheng, Qiting Chen, Jing Lu, Jie Zhou, Guangcheng Hu, Shaoting Ren, Jing Zhang, Qinhuo Liu, Yubao Qiu, Chunlin Huang, Ji Zhou, Xujun Han, Xiaoduo Pan, Hongyi Li, Yerong Wu, Baohong Ding, Wei Yang, Pascal Buri, Michael J. McCarthy, Evan S. Miles, Thomas E. Shaw, Chunfeng Ma, Yanzhao Zhou, Chiara Corbari, Rui Li, Tianjie Zhao, Vivien Stefan, Qi Gao, Jingxiao Zhang, Qiuxia Xie, Ning Wang, Yibo Sun, Xinyu Mo, Junru Jia, Achille Pierre Jouberton, Marin Kneib, Stefan Fugger, Nicola Paciolla, Giovanni Paolini
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2021-12-01
سلاسل:	Remote Sensing
الموضوعات:	High Mountain Asia multispectral remote sensing distributed hydrological models energy and water balance model calibration data assimilation
الوصول للمادة أونلاين:	https://www.mdpi.com/2072-4292/13/24/5122
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!