A spatial downscaling method for SMAP soil moisture considering vegetation memory and spatiotemporal fusion

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

International Journal of Digital Earth Pub Date : 2024-07-01 DOI:10.1080/17538947.2024.2367729

Changlu Cui, Yizhuo Meng, Daxiang Xiang, Zhiming Hong, Fengmin Hu, Beibei Yang, Chongxin Tao, Zushuai Wei, Wen Zhang, Linyi Li

引用次数: 0

Abstract

Soil moisture (SM) plays an essential role in the hydrological cycle, drought monitoring, and water resources management. However, passive microwave remote sensing products offer coarse spatial res...

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考虑植被记忆和时空融合的 SMAP 土壤水分空间降尺度方法

土壤水分（SM）在水文循环、干旱监测和水资源管理中发挥着至关重要的作用。然而，被动微波遥感产品提供的空间分辨率较低。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Digital Earth 地学-遥感

CiteScore

6.50

自引率

3.90%

发文量

审稿时长

3 months

期刊介绍： The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that: Progress visions for Digital Earth frameworks, policies, and standards; Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery; Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared; Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level; Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning; Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.