NDLI: Modelling coastal processes by means of innovative integration of remote sensing time series analysis

Content Provider	IEEE Xplore Digital Library
Author	Taramelli, A. Valentini, E. Dejana, M. Zucca, F. Mandrone, S.
Copyright Year	2011
Description	Author affiliation: Università degli Studi di Pavia, Dipartimento di Scienze della Terra, Italy (Zucca, F.) \|\| ISPRA Istituto Superiore Protezione e Ricerca Ambientale, Via di casalotti, 300 - Rome, Italy (Taramelli, A.; Valentini, E.; Dejana, M.; Mandrone, S.)
Abstract	Coastal marine and inland landforms are dynamic systems undergoing adjustments in form at different time and space scales in response to varying conditions external to the system. Coastal emerged and nearshore areas, affected by short-term perturbations, return to their pre-disturbance morphology and generally reach a dynamic equilibrium. The objective of this research is to propose innovative remote sensing applications for monitoring and/or combination of existing ones to monitor specific coastal processes in order to quantify and model their time evolution. In particular, it shows which properties are the best proxy for remote sensing characterisation of nearshore coastal areas both emerged and submerged environments by combining multi-sensor spaceborne remote sensing (SAR and OPTICAL) to a) produce deformation and spatiotemporal variations maps in coastal morphology with a special focus to point out the temporal subsidence evolution, b) integrate inter and intra-annual change detection maps of vegetation into coastal morphology.
Starting Page	1547
Ending Page	1550
File Size	390078
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049364
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	Sea measurements Remote sensing Vegetation mapping Surface topography Surface morphology Reflectivity Satellites
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

Integration of remote sensing and morphometric data for geomorphologic mapping

Trend analysis of time-series phenology derived from satellite data

Remote sensing of coastal wetlands and estuaries

Remote sensing assessment of coastal erosion in Al Batinah, Oman

Advances in coastal wetland remote sensing

Correlation of saltbush cover measurements to TM wavebands and vegetation indices

A method for optical snow-cover mapping in sparse forest

Land use temporal analysis through clustering techniques on satellite image time series

Development of a supervised classifier for subpixel remote sensing

Modelling coastal processes by means of innovative integration of remote sensing time series analysis

Similar Documents

Integration of remote sensing and morphometric data for geomorphologic mapping

Trend analysis of time-series phenology derived from satellite data

Remote sensing of coastal wetlands and estuaries

Remote sensing assessment of coastal erosion in Al Batinah, Oman

Advances in coastal wetland remote sensing

Correlation of saltbush cover measurements to TM wavebands and vegetation indices

A method for optical snow-cover mapping in sparse forest

Land use temporal analysis through clustering techniques on satellite image time series

Development of a supervised classifier for subpixel remote sensing

Modelling coastal processes by means of innovative integration of remote sensing time series analysis