Loading…

Ground-level digital terrain model (DTM) construction from TanDEM-X InSAR data and WorldView stereo-photogrammetric images

The ground-level digital elevation model (DEM) or digital terrain model (DTM) information are invaluable for environmental modeling, such as water dynamics in forests, canopy height, forest biomass, carbon estimation, etc. We propose to extract the DTM over forested areas from the combination of int...

Full description

Saved in:
Bibliographic Details
Main Authors: Seung-Kuk Lee, Fatoyinbo, Temilola, Lagomasino, David, Osmanoglu, Batuhan, Feliciano, Emanulle
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 6042
container_issue
container_start_page 6040
container_title
container_volume
creator Seung-Kuk Lee
Fatoyinbo, Temilola
Lagomasino, David
Osmanoglu, Batuhan
Feliciano, Emanulle
description The ground-level digital elevation model (DEM) or digital terrain model (DTM) information are invaluable for environmental modeling, such as water dynamics in forests, canopy height, forest biomass, carbon estimation, etc. We propose to extract the DTM over forested areas from the combination of interferometric complex coherence from single-pass TanDEM-X (TDX) data at HH polarization and Digital Surface Model (DSM) derived from high-resolution WorldView (WV) image pair by means of random volume over ground (RVoG) model. The RVoG model is a widely and successfully used model for polarimetric SAR interferometry (Pol-InSAR) technique for vertical forest structure parameter retrieval [1][2][3][4]. The ground-level DEM have been obtained by complex volume decorrelation in the RVoG model with the DSM using stere-ophotogrammetric technique. Finally, the airborne lidar data were used to validate the ground-level DEM and forest canopy height results.
doi_str_mv 10.1109/IGARSS.2016.7730578
format conference_proceeding
fullrecord <record><control><sourceid>nasa_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_7730578</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7730578</ieee_id><sourcerecordid>20170003290</sourcerecordid><originalsourceid>FETCH-LOGICAL-i196t-f1d0f32f2d0e620ae2d4fe19b4c2073554835234be2d506e1989a384d63fd9fb3</originalsourceid><addsrcrecordid>eNotkEtrAjEUhdNCoWr7C-wiy3Yx9iaZ51LUWkEpqH3shjhJbMpMIklsaX99A7q6h_vB4fAhNCQwIgSqx8V8vN5sRhRIPioKBllRXqA-yaACxhgtLlGPkowlBQC7Rn3vv2IoKUAP_c2dPRqRtPJbtljovQ68xUE6x7XBnRXxez_drh5wY40P7tgEbQ1WznZ4y810tko-8MJsxmsseOCYG4HfrWvFm5Y_2MciaZPDpw1273jXyeB0g3XH99LfoCvFWy9vz3eAXp9m28lzsnyZLybjZaJJlYdEEQGKUUUFyJwCl1SkSpJqlzYUCpZlackyytJdBBnkkZQVZ2UqcqZEpXZsgO5OvYZ7XpvgfB1NRRfAaBQ0QMMT1lLK-uDiOPdbnzWyf9kJZgo</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Ground-level digital terrain model (DTM) construction from TanDEM-X InSAR data and WorldView stereo-photogrammetric images</title><source>IEEE Xplore All Conference Series</source><creator>Seung-Kuk Lee ; Fatoyinbo, Temilola ; Lagomasino, David ; Osmanoglu, Batuhan ; Feliciano, Emanulle</creator><creatorcontrib>Seung-Kuk Lee ; Fatoyinbo, Temilola ; Lagomasino, David ; Osmanoglu, Batuhan ; Feliciano, Emanulle</creatorcontrib><description>The ground-level digital elevation model (DEM) or digital terrain model (DTM) information are invaluable for environmental modeling, such as water dynamics in forests, canopy height, forest biomass, carbon estimation, etc. We propose to extract the DTM over forested areas from the combination of interferometric complex coherence from single-pass TanDEM-X (TDX) data at HH polarization and Digital Surface Model (DSM) derived from high-resolution WorldView (WV) image pair by means of random volume over ground (RVoG) model. The RVoG model is a widely and successfully used model for polarimetric SAR interferometry (Pol-InSAR) technique for vertical forest structure parameter retrieval [1][2][3][4]. The ground-level DEM have been obtained by complex volume decorrelation in the RVoG model with the DSM using stere-ophotogrammetric technique. Finally, the airborne lidar data were used to validate the ground-level DEM and forest canopy height results.</description><identifier>EISSN: 2153-7003</identifier><identifier>EISBN: 1509033327</identifier><identifier>EISBN: 9781509033324</identifier><identifier>DOI: 10.1109/IGARSS.2016.7730578</identifier><language>eng</language><publisher>Goddard Space Flight Center: IEEE</publisher><subject>Atmospheric modeling ; Data models ; Digital elevation models ; Earth Resources And Remote Sensing ; Estimation ; Mathematical model ; Solid modeling ; Surfaces</subject><ispartof>2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016, p.6040-6042</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7730578$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,27924,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7730578$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Seung-Kuk Lee</creatorcontrib><creatorcontrib>Fatoyinbo, Temilola</creatorcontrib><creatorcontrib>Lagomasino, David</creatorcontrib><creatorcontrib>Osmanoglu, Batuhan</creatorcontrib><creatorcontrib>Feliciano, Emanulle</creatorcontrib><title>Ground-level digital terrain model (DTM) construction from TanDEM-X InSAR data and WorldView stereo-photogrammetric images</title><title>2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)</title><addtitle>IGARSS</addtitle><description>The ground-level digital elevation model (DEM) or digital terrain model (DTM) information are invaluable for environmental modeling, such as water dynamics in forests, canopy height, forest biomass, carbon estimation, etc. We propose to extract the DTM over forested areas from the combination of interferometric complex coherence from single-pass TanDEM-X (TDX) data at HH polarization and Digital Surface Model (DSM) derived from high-resolution WorldView (WV) image pair by means of random volume over ground (RVoG) model. The RVoG model is a widely and successfully used model for polarimetric SAR interferometry (Pol-InSAR) technique for vertical forest structure parameter retrieval [1][2][3][4]. The ground-level DEM have been obtained by complex volume decorrelation in the RVoG model with the DSM using stere-ophotogrammetric technique. Finally, the airborne lidar data were used to validate the ground-level DEM and forest canopy height results.</description><subject>Atmospheric modeling</subject><subject>Data models</subject><subject>Digital elevation models</subject><subject>Earth Resources And Remote Sensing</subject><subject>Estimation</subject><subject>Mathematical model</subject><subject>Solid modeling</subject><subject>Surfaces</subject><issn>2153-7003</issn><isbn>1509033327</isbn><isbn>9781509033324</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2016</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkEtrAjEUhdNCoWr7C-wiy3Yx9iaZ51LUWkEpqH3shjhJbMpMIklsaX99A7q6h_vB4fAhNCQwIgSqx8V8vN5sRhRIPioKBllRXqA-yaACxhgtLlGPkowlBQC7Rn3vv2IoKUAP_c2dPRqRtPJbtljovQ68xUE6x7XBnRXxez_drh5wY40P7tgEbQ1WznZ4y810tko-8MJsxmsseOCYG4HfrWvFm5Y_2MciaZPDpw1273jXyeB0g3XH99LfoCvFWy9vz3eAXp9m28lzsnyZLybjZaJJlYdEEQGKUUUFyJwCl1SkSpJqlzYUCpZlackyytJdBBnkkZQVZ2UqcqZEpXZsgO5OvYZ7XpvgfB1NRRfAaBQ0QMMT1lLK-uDiOPdbnzWyf9kJZgo</recordid><startdate>20161101</startdate><enddate>20161101</enddate><creator>Seung-Kuk Lee</creator><creator>Fatoyinbo, Temilola</creator><creator>Lagomasino, David</creator><creator>Osmanoglu, Batuhan</creator><creator>Feliciano, Emanulle</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>CYE</scope><scope>CYI</scope></search><sort><creationdate>20161101</creationdate><title>Ground-level digital terrain model (DTM) construction from TanDEM-X InSAR data and WorldView stereo-photogrammetric images</title><author>Seung-Kuk Lee ; Fatoyinbo, Temilola ; Lagomasino, David ; Osmanoglu, Batuhan ; Feliciano, Emanulle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i196t-f1d0f32f2d0e620ae2d4fe19b4c2073554835234be2d506e1989a384d63fd9fb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Atmospheric modeling</topic><topic>Data models</topic><topic>Digital elevation models</topic><topic>Earth Resources And Remote Sensing</topic><topic>Estimation</topic><topic>Mathematical model</topic><topic>Solid modeling</topic><topic>Surfaces</topic><toplevel>online_resources</toplevel><creatorcontrib>Seung-Kuk Lee</creatorcontrib><creatorcontrib>Fatoyinbo, Temilola</creatorcontrib><creatorcontrib>Lagomasino, David</creatorcontrib><creatorcontrib>Osmanoglu, Batuhan</creatorcontrib><creatorcontrib>Feliciano, Emanulle</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEL</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>NASA Scientific and Technical Information</collection><collection>NASA Technical Reports Server</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Seung-Kuk Lee</au><au>Fatoyinbo, Temilola</au><au>Lagomasino, David</au><au>Osmanoglu, Batuhan</au><au>Feliciano, Emanulle</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Ground-level digital terrain model (DTM) construction from TanDEM-X InSAR data and WorldView stereo-photogrammetric images</atitle><btitle>2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)</btitle><stitle>IGARSS</stitle><date>2016-11-01</date><risdate>2016</risdate><spage>6040</spage><epage>6042</epage><pages>6040-6042</pages><eissn>2153-7003</eissn><eisbn>1509033327</eisbn><eisbn>9781509033324</eisbn><abstract>The ground-level digital elevation model (DEM) or digital terrain model (DTM) information are invaluable for environmental modeling, such as water dynamics in forests, canopy height, forest biomass, carbon estimation, etc. We propose to extract the DTM over forested areas from the combination of interferometric complex coherence from single-pass TanDEM-X (TDX) data at HH polarization and Digital Surface Model (DSM) derived from high-resolution WorldView (WV) image pair by means of random volume over ground (RVoG) model. The RVoG model is a widely and successfully used model for polarimetric SAR interferometry (Pol-InSAR) technique for vertical forest structure parameter retrieval [1][2][3][4]. The ground-level DEM have been obtained by complex volume decorrelation in the RVoG model with the DSM using stere-ophotogrammetric technique. Finally, the airborne lidar data were used to validate the ground-level DEM and forest canopy height results.</abstract><cop>Goddard Space Flight Center</cop><pub>IEEE</pub><doi>10.1109/IGARSS.2016.7730578</doi><tpages>3</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 2153-7003
ispartof 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016, p.6040-6042
issn 2153-7003
language eng
recordid cdi_ieee_primary_7730578
source IEEE Xplore All Conference Series
subjects Atmospheric modeling
Data models
Digital elevation models
Earth Resources And Remote Sensing
Estimation
Mathematical model
Solid modeling
Surfaces
title Ground-level digital terrain model (DTM) construction from TanDEM-X InSAR data and WorldView stereo-photogrammetric images
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T11%3A07%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-nasa_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Ground-level%20digital%20terrain%20model%20(DTM)%20construction%20from%20TanDEM-X%20InSAR%20data%20and%20WorldView%20stereo-photogrammetric%20images&rft.btitle=2016%20IEEE%20International%20Geoscience%20and%20Remote%20Sensing%20Symposium%20(IGARSS)&rft.au=Seung-Kuk%20Lee&rft.date=2016-11-01&rft.spage=6040&rft.epage=6042&rft.pages=6040-6042&rft.eissn=2153-7003&rft_id=info:doi/10.1109/IGARSS.2016.7730578&rft.eisbn=1509033327&rft.eisbn_list=9781509033324&rft_dat=%3Cnasa_CHZPO%3E20170003290%3C/nasa_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i196t-f1d0f32f2d0e620ae2d4fe19b4c2073554835234be2d506e1989a384d63fd9fb3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=7730578&rfr_iscdi=true