NDLI: Moisture & roughness estimation algorithm over permafrost area

Content Provider	IEEE Xplore Digital Library
Author	Watanabe, M. Kushida, K. Harada, K. Fukuda, M. Sato, M.
Copyright Year	2011
Description	Author affiliation: Miyagi University, Japan (Harada, K.) \|\| Toyama University, Japan (Kushida, K.) \|\| Tohoku University, Japan (Sato, M.) \|\| JAXA University, Japan (Watanabe, M.) \|\| Fukuyama City University, Japan (Fukuda, M.)
Abstract	We propose an algorithm to estimate surface roughness and moisture level of active layer of permafrost over permafrost area. This algorithm is based on the Oh's semi-empirical model, and PALSAR data observed both in winter and summer seasons with vh polarization. PALSAR vh polarization data observed in winter is used to estimate surface roughness of permafrost. Then, the estimated surface roughness and PALSAR vh polarization data observed in summer is used to estimate the moisture level of the active layer of the permafrost. The moisture levels estimated from PALSAR data moderately matched with those of validation data taken in the field, while the surface roughness value shows some difference. The possible cause of this difference is that the surface roughness derived from the field data collection represents the roughness of the top of the sphagnum moss layer covered on the active layer of the permafrost, while the one estimated from PALSAR represents the roughness of the underlying active layer of the permafrost.
Starting Page	2598
Ending Page	2601
File Size	424324
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049773
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Moisture Surface roughness Rough surfaces Soil moisture Educational institutions Mathematical model Moisture measurement global warming PALSAR full polarimetry
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

Moisture & Roughness map in arctic national wildlife Refuge/Alaska

Simultaneous field experiments with PALSAR observations for soil moisture estimation

Polarimetric SAR observation by ALOS

A polarimetric two-scale model for soil moisture retrieval

Soil moisture estimation using a multi-angular modified three component polarimetric decomposition

Development of a biomass corrected soil moisture retrieval model for dual-polarization ALOS-2 data based on ALOS/PALSAR and PI-SAR-L2 observations

Soil Moisture Estimation over Jianghan Plain Using ENVISAT ASAR Data

A Time Series Approach for Soil Moisture Estimation

Potential of mapping soil moisture by combining radar backscatter modeling and PolSAR decomposition

Moisture & roughness estimation algorithm over permafrost area

Similar Documents

Moisture & Roughness map in arctic national wildlife Refuge/Alaska

Simultaneous field experiments with PALSAR observations for soil moisture estimation

Polarimetric SAR observation by ALOS

A polarimetric two-scale model for soil moisture retrieval

Soil moisture estimation using a multi-angular modified three component polarimetric decomposition

Development of a biomass corrected soil moisture retrieval model for dual-polarization ALOS-2 data based on ALOS/PALSAR and PI-SAR-L2 observations

Soil Moisture Estimation over Jianghan Plain Using ENVISAT ASAR Data

A Time Series Approach for Soil Moisture Estimation

Potential of mapping soil moisture by combining radar backscatter modeling and PolSAR decomposition

Moisture & roughness estimation algorithm over permafrost area