An improved surface water extraction method by integrating multi-type priori information from remote sensing-Reference-Cited by-同舟云学术

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An improved surface water extraction method by integrating multi-type priori information from remote sensing

Published:2023-11 Issue: Volume:124 Page:103529
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Zhao Bingyu,Wu Jianjun,Han Xinyi,Tian Feng,Liu Mengxue,Chen Meng,Lin Jingyu

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference54 articles.

1. Application of Bayesian framework for evaluation of streamflow simulations using multiple climate models;Achieng;J. Hydrol.,2019

2. A MODIS-based automated flood monitoring system for southeast asia;Ahamed;Int. J. Appl. Earth Obs. Geoinf.,2017

3. Surface water maps de-noising and missing-data filling using determinist spatial filters based on several a priori information;Aires,2020

4. P.-D. Binh C. Prigent F. Aires Surface Water Monitoring within Cambodia and the Vietnamese Mekong Delta over a Year, with Sentinel-1 SAR Observations. Water 9 2017.

5. Contribution of anthropogenic and natural sources to atmospheric methane variability;Bousquet;Nature,2006

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