气候变化领域集成服务门户(CCPortal): Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau

CCPortal

DOI	10.1016/j.isprsjprs.2023.02.009
	Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau
	Huang, Shuzhe; Zhang, Xiang; Wang, Chao; Chen, Nengcheng
发表日期	2023
ISSN	0924-2716
EISSN	1872-8235
起始页码	346
结束页码	363
卷号	197
英文摘要	Current remote sensing techniques fail to observe and generate large scale multi-layer soil moisture (SM) the inherent features of the satellite sensors. The lack of comprehensive understanding of multi-layer SM hinders the sustainable development of agriculture, hydrology, and food security. In order to overcome the depth of traditional SM assimilation and downscaling methods, we developed a Two-step Multi-layer SM Downscaling (TMSMD) framework by fusing multi-source remotely sensed, reanalysis, and in-situ data through both machine learning and state-of-the-art deep learning models to generate multi-layer SM. The produced multi-layer SM characterized by high resolution (1 km), high spatio-temporal continuity (cloud-free and daily), and high curacy (i.e., 3H data). Firstly, the coarse resolution SMAP SM was downscaled to 1 km spatial resolution LightGBM to weaken the effects of scale mismatch issue and provide high-resolution input for the subsequent calibration. Results indicated that the downscaled SMAP SM remained high consistency with the original SM product. With the high-resolution inputs, we calibrated the downscaled SMAP SM using multi-layer SM through state-of-the-art attention-based LSTM. Results demonstrated that the average PCC, RMSE, ubRMSE, and MAE were improved by 22.3 %, 50.7 %, 26.2 %, and 56.7 % compared to SMAP L4 SM while 38.5 %, 52.1 29.5 %, and 58.7 % compared to downscaled SMAP SM. Further spatio-temporal and comparative analysis confirmed that the multi-layer SM produced by the TMSMD framework had excellent performance in capturing the spatial and temporal dynamics. In conclude, the proposed TMSMD framework successfully generated multi-layer SM data and is promising for accurate assessment and monitoring in agriculture, water resources, environmental domains.
关键词	Multi -layer soil moisture High resolution Seamless High accuracy The Qinghai-Tibet plateau
英文关键词	LAND-SURFACE; SATELLITE; MODEL; ASSIMILATION; RETRIEVAL; TEMPERATURE; PRODUCTS; NETWORK; REGION; NDVI
WOS研究方向	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000974259200001
来源期刊	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/283182
作者单位	Wuhan University; China University of Geosciences - Wuhan
推荐引用方式 GB/T 7714	Huang, Shuzhe,Zhang, Xiang,Wang, Chao,et al. Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau[J],2023,197.
APA	Huang, Shuzhe,Zhang, Xiang,Wang, Chao,&Chen, Nengcheng.(2023).Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,197.
MLA	Huang, Shuzhe,et al."Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 197(2023).