IMHE OpenIR  > 数字山地与遥感应用中心
A Downscaling Scheme for Deriving Spatially Continuous Fine-Resolution Soil Moisture Data Based on Gap-Free Land Surface Temperature
Language英语
Wen, Fengping1,2; Zhao, Wei1; Wang, Wei3
2019
Source PublicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Author of SourceThe Institute of Electrical and Electronics Engineers, Geoscience and Remote Sensing Society (GRSS)
Pages7120-7123
meeting39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Conference DateJuly 28, 2019 - August 2, 2019
Conference PlaceYokohama
CountryJapan
Contribution Rank1
AbstractSoil moisture (SM) downscaling has become more and more crucial for assisting the application of the coarse-resolution SM product, such as climate change, sustainable development of agroforestry, efficient management of water resources, and monitoring of natural hazards. The main idea of downscaling methods lies on the help of fine-resolution auxiliary data, such as the widely used, land surface temperature (LST) and normalized difference vegetation index (NDVI). However, in the downscaling process, the ancillary data, especially for the daily LST, is strongly affected by cloud cover, resulting high frequency of blank areas in the final downscaled SM products. By contrast, the impact is usually omitted or paid less attention in current downscaling studies. To obtain the spatially continuous fine-resolution SM product, this study firstly introduced an annual temperature cycle (ATC) model to fill the gaps in daily Moderate Resolution Imaging Spectroradiometer (MODIS) LST product induced by cloud cover. Then the 36-km SM product from Soil Moisture Active Passive (SMAP) satellite mission was downscaled from 36-km to 1-km spatial resolution with the synergistic use of the filled LST and MODIS NDVI to estimate spatially continuous fine-resolution SM product. © 2019 IEEE.
KeywordSoil moisture downscale ATC SMAP MODIS
DOI10.1109/IGARSS.2019.8899200
ISBN9781538691540
Indexed ByEI
Accession numberAccession number;20200208024998
Citation statistics
Document Type会议论文
Identifierhttp://ir.imde.ac.cn/handle/131551/33780
Collection数字山地与遥感应用中心
科技信息与传播中心
Corresponding AuthorZhao, Wei
Affiliation1.Chinese Academy of Sciences, Institute of Mountain Hazards and Environment, Chengdu; 610041, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China;
3.Chengdu University of Technology, College of Earth Sciences, Chengdu; 610059, China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Wen, Fengping,Zhao, Wei,Wang, Wei. A Downscaling Scheme for Deriving Spatially Continuous Fine-Resolution Soil Moisture Data Based on Gap-Free Land Surface Temperature[C]//The Institute of Electrical and Electronics Engineers, Geoscience and Remote Sensing Society (GRSS),2019:7120-7123.
Files in This Item:
File Name/Size DocType Version Access License
08899200.pdf(547KB)会议论文 开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wen, Fengping]'s Articles
[Zhao, Wei]'s Articles
[Wang, Wei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wen, Fengping]'s Articles
[Zhao, Wei]'s Articles
[Wang, Wei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wen, Fengping]'s Articles
[Zhao, Wei]'s Articles
[Wang, Wei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 08899200.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.