气候变化领域集成服务门户(CCPortal): Investigating the seasonal dynamics of surface water over the Qinghai-Tibet Plateau using Sentinel-1 imagery and a novel gated multiscale ConvNet

CCPortal

DOI	10.1080/17538947.2023.2198266
	Investigating the seasonal dynamics of surface water over the Qinghai-Tibet Plateau using Sentinel-1 imagery and a novel gated multiscale ConvNet
	Luo, Xin; Hu, Zhongwen; Liu, Lin
发表日期	2023
ISSN	1753-8947
EISSN	1753-8955
起始页码	1373
结束页码	1395
卷号	16 期号:1
英文摘要	The surface water in the Qinghai-Tibet Plateau (QTP) region has undergone dramatic changes in recent decades. To capture dynamic surface water information, many satellite imagery-based methods have been proposed. However, these methods are still limited in terms of automation and accuracy and thus prevent surface water dynamic studies in large-scale QTP regions. In this study, we developed a new fully automatic method for accurate surface water mapping by using Sentinel-1 synthetic aperture radar (SAR) imagery and convolutional networks (ConvNets). Specifically, we built a new multiscale ConvNet structure to improve the model capability in surface water body extraction. Moreover, a gating mechanism is introduced to promote the efficient use of multiscale information. According to the accuracy assessment, the proposed gated multiscale ConvNet (GMNet) achieved the highest overall accuracy of 98.07%. We applied our GMNet for monthly surface water mapping on the QTP; accordingly, we found that the QTP region experienced significant surface water fluctuations over one year. The surface water also showed distinct spatial heterogeneity on the QTP; that is, the surface water fraction of the Inner Tibetan Basin was significantly higher than that of the Mekong Basin in both the wet and dry seasons.
关键词	Qinghai-Tibet Plateau surface water mapping deep learning convolutional neural network SAR image
英文关键词	CLIMATE-CHANGE; LAKE; STORAGE; GROWTH; MASS
WOS研究方向	Geography, Physical ; Remote Sensing
WOS记录号	WOS:000970525500001
来源期刊	INTERNATIONAL JOURNAL OF DIGITAL EARTH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282892
作者单位	Yunnan University; Shenzhen University; Chinese University of Hong Kong
推荐引用方式 GB/T 7714	Luo, Xin,Hu, Zhongwen,Liu, Lin. Investigating the seasonal dynamics of surface water over the Qinghai-Tibet Plateau using Sentinel-1 imagery and a novel gated multiscale ConvNet[J],2023,16(1).
APA	Luo, Xin,Hu, Zhongwen,&Liu, Lin.(2023).Investigating the seasonal dynamics of surface water over the Qinghai-Tibet Plateau using Sentinel-1 imagery and a novel gated multiscale ConvNet.INTERNATIONAL JOURNAL OF DIGITAL EARTH,16(1).
MLA	Luo, Xin,et al."Investigating the seasonal dynamics of surface water over the Qinghai-Tibet Plateau using Sentinel-1 imagery and a novel gated multiscale ConvNet".INTERNATIONAL JOURNAL OF DIGITAL EARTH 16.1(2023).