Loading…

Creation of ersatz ground reference data for validating the MODIS snow and ice product suite

We have developed a photo-interpretive tool for editing the MODIS snow cover data products to produce an ersatz (i.e., substitute) ground reference for use in evaluating approaches for improving product accuracy. This tool enables an analyst to compare visualizations of Landsat scenes with registere...

Full description

Saved in:
Bibliographic Details
Main Authors: Tilton, J C, Hall, D K, Riggs, G A
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 2374
container_issue
container_start_page 2371
container_title
container_volume
creator Tilton, J C
Hall, D K
Riggs, G A
description We have developed a photo-interpretive tool for editing the MODIS snow cover data products to produce an ersatz (i.e., substitute) ground reference for use in evaluating approaches for improving product accuracy. This tool enables an analyst to compare visualizations of Landsat scenes with registered sub-sections of MODIS scenes and edit the product as indicated. We provide an example of the use of this tool for a MODIS scene in which cloud mask errors are corrected and where the cloud mask is removed where snow or land is clearly seen through thin clouds. The resulting revision increased the snow coverage area from 10.9% to 16.0%, and decreased the cloud coverage from 37.9% to 27.9%. However, when the original cloud mask is applied to the revised snow map, the revised map agrees to 99.64% with the original snow map, indicating very little change in snow labeling outside changes in the cloud mask.
doi_str_mv 10.1109/IGARSS.2010.5650287
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5650287</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5650287</ieee_id><sourcerecordid>5650287</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-d6e392ca2c1dc1f6e381ea60b8f0faa296d2e526efb89d7431723e038f855aa23</originalsourceid><addsrcrecordid>eNo1kM1OwzAQhM2fRFv6BL34BVL8Ezv2sQq0RCqqRHpEqtx4XYxKUjkuCJ4eS4TTavabGWkXoRklc0qJvq9Wi5e6njOSFkIKwlRxgaa6UDRnea6FzOklGjEqeFYQwq_Q-B8Idj0AqbW8ReO-f08OxQgZodcygIm-a3HnMITexB98CN25tTiAgwBtA9iaaLDrAv40R5-Ebw84vgF-3jxUNe7b7gubFPDJegqdPTcR92cf4Q7dOHPsYTrMCdouH7flU7berKpysc68JjGzErhmjWENtQ11SSkKRpK9csQZw7S0DAST4PZK2yLntGAc0gFOCZE4n6DZX60HgN0p-A8TvnfDk_gvC3JX-Q</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Creation of ersatz ground reference data for validating the MODIS snow and ice product suite</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Tilton, J C ; Hall, D K ; Riggs, G A</creator><creatorcontrib>Tilton, J C ; Hall, D K ; Riggs, G A</creatorcontrib><description>We have developed a photo-interpretive tool for editing the MODIS snow cover data products to produce an ersatz (i.e., substitute) ground reference for use in evaluating approaches for improving product accuracy. This tool enables an analyst to compare visualizations of Landsat scenes with registered sub-sections of MODIS scenes and edit the product as indicated. We provide an example of the use of this tool for a MODIS scene in which cloud mask errors are corrected and where the cloud mask is removed where snow or land is clearly seen through thin clouds. The resulting revision increased the snow coverage area from 10.9% to 16.0%, and decreased the cloud coverage from 37.9% to 27.9%. However, when the original cloud mask is applied to the revised snow map, the revised map agrees to 99.64% with the original snow map, indicating very little change in snow labeling outside changes in the cloud mask.</description><identifier>ISSN: 2153-6996</identifier><identifier>ISBN: 1424495652</identifier><identifier>ISBN: 9781424495658</identifier><identifier>EISSN: 2153-7003</identifier><identifier>EISBN: 9781424495641</identifier><identifier>EISBN: 1424495660</identifier><identifier>EISBN: 9781424495665</identifier><identifier>EISBN: 1424495644</identifier><identifier>DOI: 10.1109/IGARSS.2010.5650287</identifier><language>eng</language><publisher>IEEE</publisher><subject>Clouds ; Earth ; image registration ; Image segmentation ; MODIS ; MODIS snow product ; Remote sensing ; Satellites ; Snow</subject><ispartof>2010 IEEE International Geoscience and Remote Sensing Symposium, 2010, p.2371-2374</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/5650287$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54530,54895,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5650287$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tilton, J C</creatorcontrib><creatorcontrib>Hall, D K</creatorcontrib><creatorcontrib>Riggs, G A</creatorcontrib><title>Creation of ersatz ground reference data for validating the MODIS snow and ice product suite</title><title>2010 IEEE International Geoscience and Remote Sensing Symposium</title><addtitle>IGARSS</addtitle><description>We have developed a photo-interpretive tool for editing the MODIS snow cover data products to produce an ersatz (i.e., substitute) ground reference for use in evaluating approaches for improving product accuracy. This tool enables an analyst to compare visualizations of Landsat scenes with registered sub-sections of MODIS scenes and edit the product as indicated. We provide an example of the use of this tool for a MODIS scene in which cloud mask errors are corrected and where the cloud mask is removed where snow or land is clearly seen through thin clouds. The resulting revision increased the snow coverage area from 10.9% to 16.0%, and decreased the cloud coverage from 37.9% to 27.9%. However, when the original cloud mask is applied to the revised snow map, the revised map agrees to 99.64% with the original snow map, indicating very little change in snow labeling outside changes in the cloud mask.</description><subject>Clouds</subject><subject>Earth</subject><subject>image registration</subject><subject>Image segmentation</subject><subject>MODIS</subject><subject>MODIS snow product</subject><subject>Remote sensing</subject><subject>Satellites</subject><subject>Snow</subject><issn>2153-6996</issn><issn>2153-7003</issn><isbn>1424495652</isbn><isbn>9781424495658</isbn><isbn>9781424495641</isbn><isbn>1424495660</isbn><isbn>9781424495665</isbn><isbn>1424495644</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kM1OwzAQhM2fRFv6BL34BVL8Ezv2sQq0RCqqRHpEqtx4XYxKUjkuCJ4eS4TTavabGWkXoRklc0qJvq9Wi5e6njOSFkIKwlRxgaa6UDRnea6FzOklGjEqeFYQwq_Q-B8Idj0AqbW8ReO-f08OxQgZodcygIm-a3HnMITexB98CN25tTiAgwBtA9iaaLDrAv40R5-Ebw84vgF-3jxUNe7b7gubFPDJegqdPTcR92cf4Q7dOHPsYTrMCdouH7flU7berKpysc68JjGzErhmjWENtQ11SSkKRpK9csQZw7S0DAST4PZK2yLntGAc0gFOCZE4n6DZX60HgN0p-A8TvnfDk_gvC3JX-Q</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Tilton, J C</creator><creator>Hall, D K</creator><creator>Riggs, G A</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201007</creationdate><title>Creation of ersatz ground reference data for validating the MODIS snow and ice product suite</title><author>Tilton, J C ; Hall, D K ; Riggs, G A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-d6e392ca2c1dc1f6e381ea60b8f0faa296d2e526efb89d7431723e038f855aa23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Clouds</topic><topic>Earth</topic><topic>image registration</topic><topic>Image segmentation</topic><topic>MODIS</topic><topic>MODIS snow product</topic><topic>Remote sensing</topic><topic>Satellites</topic><topic>Snow</topic><toplevel>online_resources</toplevel><creatorcontrib>Tilton, J C</creatorcontrib><creatorcontrib>Hall, D K</creatorcontrib><creatorcontrib>Riggs, G A</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>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tilton, J C</au><au>Hall, D K</au><au>Riggs, G A</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Creation of ersatz ground reference data for validating the MODIS snow and ice product suite</atitle><btitle>2010 IEEE International Geoscience and Remote Sensing Symposium</btitle><stitle>IGARSS</stitle><date>2010-07</date><risdate>2010</risdate><spage>2371</spage><epage>2374</epage><pages>2371-2374</pages><issn>2153-6996</issn><eissn>2153-7003</eissn><isbn>1424495652</isbn><isbn>9781424495658</isbn><eisbn>9781424495641</eisbn><eisbn>1424495660</eisbn><eisbn>9781424495665</eisbn><eisbn>1424495644</eisbn><abstract>We have developed a photo-interpretive tool for editing the MODIS snow cover data products to produce an ersatz (i.e., substitute) ground reference for use in evaluating approaches for improving product accuracy. This tool enables an analyst to compare visualizations of Landsat scenes with registered sub-sections of MODIS scenes and edit the product as indicated. We provide an example of the use of this tool for a MODIS scene in which cloud mask errors are corrected and where the cloud mask is removed where snow or land is clearly seen through thin clouds. The resulting revision increased the snow coverage area from 10.9% to 16.0%, and decreased the cloud coverage from 37.9% to 27.9%. However, when the original cloud mask is applied to the revised snow map, the revised map agrees to 99.64% with the original snow map, indicating very little change in snow labeling outside changes in the cloud mask.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2010.5650287</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2153-6996
ispartof 2010 IEEE International Geoscience and Remote Sensing Symposium, 2010, p.2371-2374
issn 2153-6996
2153-7003
language eng
recordid cdi_ieee_primary_5650287
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Clouds
Earth
image registration
Image segmentation
MODIS
MODIS snow product
Remote sensing
Satellites
Snow
title Creation of ersatz ground reference data for validating the MODIS snow and ice product suite
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T03%3A03%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Creation%20of%20ersatz%20ground%20reference%20data%20for%20validating%20the%20MODIS%20snow%20and%20ice%20product%20suite&rft.btitle=2010%20IEEE%20International%20Geoscience%20and%20Remote%20Sensing%20Symposium&rft.au=Tilton,%20J%20C&rft.date=2010-07&rft.spage=2371&rft.epage=2374&rft.pages=2371-2374&rft.issn=2153-6996&rft.eissn=2153-7003&rft.isbn=1424495652&rft.isbn_list=9781424495658&rft_id=info:doi/10.1109/IGARSS.2010.5650287&rft.eisbn=9781424495641&rft.eisbn_list=1424495660&rft.eisbn_list=9781424495665&rft.eisbn_list=1424495644&rft_dat=%3Cieee_6IE%3E5650287%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i90t-d6e392ca2c1dc1f6e381ea60b8f0faa296d2e526efb89d7431723e038f855aa23%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=5650287&rfr_iscdi=true