NDLI: Comparasion on snow depth algorithms over China using AMSR-E passive microwave remote sensing

Content Provider	IEEE Xplore Digital Library
Author	Yubao Qiu Huadong Guo Chanjia Bin Duo Chu Lijuan Shi Lemmetyinen, J.
Copyright Year	2014
Description	Author affiliation: Lab. of Digital Earth Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China (Yubao Qiu; Huadong Guo; Chanjia Bin; Lijuan Shi) \|\| Tibet Meteorol. Bur., Lhasa, China (Duo Chu) \|\| Arctic Res. Centre, Finnish Meteorol. Inst., Sodankyla, Finland (Lemmetyinen, J.)
Abstract	Using the brightness temperature data measured by an Advanced Microwave Scanning Radiometer (AMSR-E) and the in-situ measurement, this paper compared the accuracy and applicability of five snow-depth retrieval algorithms (Chang algorithm, GSFC 96 algorithm, AMSR-E SWE algorithm, the improved algorithm for Qinghai-Tibet Plateau and atmosphere-correction algorithm) in the regions of Xinjiang, Qinghai-Tibet Plateau, Inner Mongolia, Northeast China, Northwest China and the North China Plain. Generally, over the whole China area, the results of the study show that, the improved algorithm for Qinghai-Tibet Plateau shows a relatively higher accuracy, with a root-mean-square error (RMSE) of 9.16, 9.96 and 9.63cm and a mean relative error (MRE) of 59.77%, 52.79% and 48.47%. According to regional verification respectively, the accuracy algorithm for Xinjiang region is the GSFC 96 algorithm, the RMSE of which is 6.85cm~7.48cm; For Inner Mongolia, it is the QTP algorithm, the RMSE of which is 5.9, 6.11 and 5.46cm; and For Northeast China, it is also the Qinghai-Tibet Plateau algorithm, the RMSE of which is from 6.21cm to 7.83cm. None of the five algorithms is in a good quality for Northwest China and the North China plain regions. For the Qinghai-Tibetan plateau region, the author is not able to obtain the results of statistical verification due to a lack of actually measured data.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	851
Ending Page	854
File Size	348013
Page Count	4
File Format	PDF
ISBN	9781479957750
DOI	10.1109/IGARSS.2014.6946558
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Snow Accuracy Brightness temperature Microwave measurement Algorithm design and analysis Microwave radiometry Remote sensing China Snow Depth AMSR-E Comparison
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Improved snow depth retrieval algorithm in China area using passive microwave remote sensing data

Remotely sensed monitoring of snow cover based on AMSR-E passive microwave brightness temperature

Evaluating snow depth in Western China based on passive microwave remote sensing

Spatial and Temporal Monitoring of the East-Antarctic Plateau using Passive Microwave Data

Analysis between AMSR-E swath brightness temperature and ground snow depth data in winter time over Tibet Plateau, China

Estimating Passive Microwave Brightness Temperature Over Snow-Covered Land in North America Using a Land Surface Model and an Artificial Neural Network

Monitoring of snow cover on Italian Alps using AMSR-E and Artificial Neural Networks

Retrieval analysis of snow depth from AMSR-E data in complex weather conditions

A pre-operational algorithm for the retrieval of snow depth and soil moisture from AMSR-E data

Comparasion on snow depth algorithms over China using AMSR-E passive microwave remote sensing

Similar Documents

Improved snow depth retrieval algorithm in China area using passive microwave remote sensing data

Remotely sensed monitoring of snow cover based on AMSR-E passive microwave brightness temperature

Evaluating snow depth in Western China based on passive microwave remote sensing

Spatial and Temporal Monitoring of the East-Antarctic Plateau using Passive Microwave Data

Analysis between AMSR-E swath brightness temperature and ground snow depth data in winter time over Tibet Plateau, China

Estimating Passive Microwave Brightness Temperature Over Snow-Covered Land in North America Using a Land Surface Model and an Artificial Neural Network

Monitoring of snow cover on Italian Alps using AMSR-E and Artificial Neural Networks

Retrieval analysis of snow depth from AMSR-E data in complex weather conditions

A pre-operational algorithm for the retrieval of snow depth and soil moisture from AMSR-E data

Comparasion on snow depth algorithms over China using AMSR-E passive microwave remote sensing