Development of cloud, snow, and shadow masking algorithms for VEGETATION imagery

Cloud detection is an essential part of the preprocessing chain for various products of the VEGETATION sensor aboard the SPOT satellite. State of the art techniques have been developed to construct a 3 level cloud mask and a binary snow mask. A genetic algorithm has been developed to optimize thresh...

Full description

Saved in:
Bibliographic Details
Main Authors: Lisens, G., Kempencers, P., Fierens, F., Van Rensbergen, J.
Format: Conference Proceeding
Language:English
Subjects:
Clouds
Earth
Genetic algorithms
Geometry
Lead
Radiometry
Reflectivity
Satellite broadcasting
Snow
Vegetation mapping
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 836 vol.2
container_issue
container_start_page 834
container_title
container_volume 2
creator Lisens, G.
Kempencers, P.
Fierens, F.
Van Rensbergen, J.
description Cloud detection is an essential part of the preprocessing chain for various products of the VEGETATION sensor aboard the SPOT satellite. State of the art techniques have been developed to construct a 3 level cloud mask and a binary snow mask. A genetic algorithm has been developed to optimize thresholds on the VEGETATION spectral bands. The increase in performance is dramatic, and improves the quality of VEGETATION products (atmospheric correction, synthesis...). Clouds also cast shadows on the Earth's surface. This can lead up to a 40% bias of the true reflectance of the underlying terrain element. A new and fully automated technique has been developed to provide a cloud shadow mask, based on geometry and radiometry.
doi_str_mv 10.1109/IGARSS.2000.861719
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_861719</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>861719</ieee_id><sourcerecordid>861719</sourcerecordid><originalsourceid>FETCH-LOGICAL-i104t-3df8e597bb79b413da6551dbbf7dd721b508a7c465ec90ab37071599ac0422763</originalsourceid><addsrcrecordid>eNotj9FOgzAYRpsYE3XuBXbVBxj4l1JKL8lERrI449DbpaUtQ4EuFF329i6ZV9_FSc7Jh9CCQEgIiKeyyN53uzACgDBNCCfiBj0AT4EmlAm4Q3Pvvy4QqIhTwe_R27P5NZ079maYsLO47tyPXmI_uNMSy0Fjf5DanXAv_Xc7NFh2jRvb6dB7bN2IP_Mir7Kq3L7itpeNGc-P6NbKzpv5_87Qx0terdbBZluUq2wTtATiKaDapoYJrhQXKiZUy4QxopWyXGseEcUglbyOE2ZqAVJRDpwwIWQNcRTxhM7Q4uptjTH743jJj-f99TP9A-w5TIk</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Development of cloud, snow, and shadow masking algorithms for VEGETATION imagery</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Lisens, G. ; Kempencers, P. ; Fierens, F. ; Van Rensbergen, J.</creator><creatorcontrib>Lisens, G. ; Kempencers, P. ; Fierens, F. ; Van Rensbergen, J.</creatorcontrib><description>Cloud detection is an essential part of the preprocessing chain for various products of the VEGETATION sensor aboard the SPOT satellite. State of the art techniques have been developed to construct a 3 level cloud mask and a binary snow mask. A genetic algorithm has been developed to optimize thresholds on the VEGETATION spectral bands. The increase in performance is dramatic, and improves the quality of VEGETATION products (atmospheric correction, synthesis...). Clouds also cast shadows on the Earth's surface. This can lead up to a 40% bias of the true reflectance of the underlying terrain element. A new and fully automated technique has been developed to provide a cloud shadow mask, based on geometry and radiometry.</description><identifier>ISBN: 0780363590</identifier><identifier>ISBN: 9780780363595</identifier><identifier>DOI: 10.1109/IGARSS.2000.861719</identifier><language>eng</language><publisher>IEEE</publisher><subject>Clouds ; Earth ; Genetic algorithms ; Geometry ; Lead ; Radiometry ; Reflectivity ; Satellite broadcasting ; Snow ; Vegetation mapping</subject><ispartof>IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), 2000, Vol.2, p.834-836 vol.2</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/861719$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/861719$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lisens, G.</creatorcontrib><creatorcontrib>Kempencers, P.</creatorcontrib><creatorcontrib>Fierens, F.</creatorcontrib><creatorcontrib>Van Rensbergen, J.</creatorcontrib><title>Development of cloud, snow, and shadow masking algorithms for VEGETATION imagery</title><title>IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120)</title><addtitle>IGARSS</addtitle><description>Cloud detection is an essential part of the preprocessing chain for various products of the VEGETATION sensor aboard the SPOT satellite. State of the art techniques have been developed to construct a 3 level cloud mask and a binary snow mask. A genetic algorithm has been developed to optimize thresholds on the VEGETATION spectral bands. The increase in performance is dramatic, and improves the quality of VEGETATION products (atmospheric correction, synthesis...). Clouds also cast shadows on the Earth's surface. This can lead up to a 40% bias of the true reflectance of the underlying terrain element. A new and fully automated technique has been developed to provide a cloud shadow mask, based on geometry and radiometry.</description><subject>Clouds</subject><subject>Earth</subject><subject>Genetic algorithms</subject><subject>Geometry</subject><subject>Lead</subject><subject>Radiometry</subject><subject>Reflectivity</subject><subject>Satellite broadcasting</subject><subject>Snow</subject><subject>Vegetation mapping</subject><isbn>0780363590</isbn><isbn>9780780363595</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj9FOgzAYRpsYE3XuBXbVBxj4l1JKL8lERrI449DbpaUtQ4EuFF329i6ZV9_FSc7Jh9CCQEgIiKeyyN53uzACgDBNCCfiBj0AT4EmlAm4Q3Pvvy4QqIhTwe_R27P5NZ079maYsLO47tyPXmI_uNMSy0Fjf5DanXAv_Xc7NFh2jRvb6dB7bN2IP_Mir7Kq3L7itpeNGc-P6NbKzpv5_87Qx0terdbBZluUq2wTtATiKaDapoYJrhQXKiZUy4QxopWyXGseEcUglbyOE2ZqAVJRDpwwIWQNcRTxhM7Q4uptjTH743jJj-f99TP9A-w5TIk</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Lisens, G.</creator><creator>Kempencers, P.</creator><creator>Fierens, F.</creator><creator>Van Rensbergen, J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2000</creationdate><title>Development of cloud, snow, and shadow masking algorithms for VEGETATION imagery</title><author>Lisens, G. ; Kempencers, P. ; Fierens, F. ; Van Rensbergen, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-3df8e597bb79b413da6551dbbf7dd721b508a7c465ec90ab37071599ac0422763</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Clouds</topic><topic>Earth</topic><topic>Genetic algorithms</topic><topic>Geometry</topic><topic>Lead</topic><topic>Radiometry</topic><topic>Reflectivity</topic><topic>Satellite broadcasting</topic><topic>Snow</topic><topic>Vegetation mapping</topic><toplevel>online_resources</toplevel><creatorcontrib>Lisens, G.</creatorcontrib><creatorcontrib>Kempencers, P.</creatorcontrib><creatorcontrib>Fierens, F.</creatorcontrib><creatorcontrib>Van Rensbergen, J.</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>Lisens, G.</au><au>Kempencers, P.</au><au>Fierens, F.</au><au>Van Rensbergen, J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Development of cloud, snow, and shadow masking algorithms for VEGETATION imagery</atitle><btitle>IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120)</btitle><stitle>IGARSS</stitle><date>2000</date><risdate>2000</risdate><volume>2</volume><spage>834</spage><epage>836 vol.2</epage><pages>834-836 vol.2</pages><isbn>0780363590</isbn><isbn>9780780363595</isbn><abstract>Cloud detection is an essential part of the preprocessing chain for various products of the VEGETATION sensor aboard the SPOT satellite. State of the art techniques have been developed to construct a 3 level cloud mask and a binary snow mask. A genetic algorithm has been developed to optimize thresholds on the VEGETATION spectral bands. The increase in performance is dramatic, and improves the quality of VEGETATION products (atmospheric correction, synthesis...). Clouds also cast shadows on the Earth's surface. This can lead up to a 40% bias of the true reflectance of the underlying terrain element. A new and fully automated technique has been developed to provide a cloud shadow mask, based on geometry and radiometry.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2000.861719</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 0780363590
ispartof IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), 2000, Vol.2, p.834-836 vol.2
issn
language eng
recordid cdi_ieee_primary_861719
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Clouds
Earth
Genetic algorithms
Geometry
Lead
Radiometry
Reflectivity
Satellite broadcasting
Snow
Vegetation mapping
title Development of cloud, snow, and shadow masking algorithms for VEGETATION imagery
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T19%3A09%3A34IST&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=Development%20of%20cloud,%20snow,%20and%20shadow%20masking%20algorithms%20for%20VEGETATION%20imagery&rft.btitle=IGARSS%202000.%20IEEE%202000%20International%20Geoscience%20and%20Remote%20Sensing%20Symposium.%20Taking%20the%20Pulse%20of%20the%20Planet:%20The%20Role%20of%20Remote%20Sensing%20in%20Managing%20the%20Environment.%20Proceedings%20(Cat.%20No.00CH37120)&rft.au=Lisens,%20G.&rft.date=2000&rft.volume=2&rft.spage=834&rft.epage=836%20vol.2&rft.pages=834-836%20vol.2&rft.isbn=0780363590&rft.isbn_list=9780780363595&rft_id=info:doi/10.1109/IGARSS.2000.861719&rft_dat=%3Cieee_6IE%3E861719%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i104t-3df8e597bb79b413da6551dbbf7dd721b508a7c465ec90ab37071599ac0422763%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=861719&rfr_iscdi=true