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Deriving forest canopy parameters for backscatter models using the AMAP architectural plant model
A new approach using an architectural plant model to feed various theoretical scattering models is presented as a better interpretation of future remote sensing data acquired over natural media. The method is based on the architectural plant model (AMAP), which integrates knowledge of botanical grow...
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Published in: | IEEE transactions on geoscience and remote sensing 2001-03, Vol.39 (3), p.571-583 |
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creator | Castel, T. Beaudoin, A. Floury, N. Le Toan, T. Caraglio, Y. Barczi, J.F. |
description | A new approach using an architectural plant model to feed various theoretical scattering models is presented as a better interpretation of future remote sensing data acquired over natural media. The method is based on the architectural plant model (AMAP), which integrates knowledge of botanical growth processes and real plant measurements. AMAP is encapsulated in a flexible interface software called AMAP2SAR that allows one to (1) simulate a three-dimensional (3-D) plant such as a tree, (2) transform the tree into a collection of cylinders, and (3) feed theoretical models such as radiative transfer (RT) models. The method is illustrated by an example of Austrian black pine plantations in southern France. Simulated characteristics of black pines are validated for stands up to 50 years old and for a given environment. The results show the ability to derive classical forest parameters as well as those needed for electromagnetic models (such as geometry) as a function of age. Vertical profiles of canopy elements are derived and point out the vertical heterogeneity of the stands after they are 20 years old for parameters having an impact on the backscatter such as diameter and number of branches. Consequently, the crown layer variability with age and canopy depth should be considered in RT models. An RT model is modified in order to take account of accurate canopy descriptions and deal with encouraging modeling results at Cand L-band over the same test site. |
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The method is based on the architectural plant model (AMAP), which integrates knowledge of botanical growth processes and real plant measurements. AMAP is encapsulated in a flexible interface software called AMAP2SAR that allows one to (1) simulate a three-dimensional (3-D) plant such as a tree, (2) transform the tree into a collection of cylinders, and (3) feed theoretical models such as radiative transfer (RT) models. The method is illustrated by an example of Austrian black pine plantations in southern France. Simulated characteristics of black pines are validated for stands up to 50 years old and for a given environment. The results show the ability to derive classical forest parameters as well as those needed for electromagnetic models (such as geometry) as a function of age. Vertical profiles of canopy elements are derived and point out the vertical heterogeneity of the stands after they are 20 years old for parameters having an impact on the backscatter such as diameter and number of branches. Consequently, the crown layer variability with age and canopy depth should be considered in RT models. An RT model is modified in order to take account of accurate canopy descriptions and deal with encouraging modeling results at Cand L-band over the same test site.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/36.911115</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Age ; Agricultural sciences ; Animal, plant and microbial ecology ; Applied geophysics ; Backscatter ; Biological and medical sciences ; Canopies ; Computer simulation ; Earth sciences ; Earth, ocean, space ; Electromagnetic modeling ; Electromagnetic scattering ; Exact sciences and technology ; Feeds ; Forests ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; Information retrieval ; Internal geophysics ; Life Sciences ; Mathematical models ; Pine ; Power system modeling ; Remote monitoring ; Remote sensing ; Silviculture, forestry ; Spaceborne radar ; Stands ; Studies ; Teledetection and vegetation maps ; Trees ; Vegetation</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2001-03, Vol.39 (3), p.571-583</ispartof><rights>2001 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2001</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-112404bdfebd27aafcf3a9f8d2f6e65c06fd32b0ac899cb347be56f64cfe1b573</citedby><cites>FETCH-LOGICAL-c460t-112404bdfebd27aafcf3a9f8d2f6e65c06fd32b0ac899cb347be56f64cfe1b573</cites><orcidid>0000-0001-9650-9474</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/911115$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,54796</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=952146$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://institut-agro-dijon.hal.science/hal-02155457$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Castel, T.</creatorcontrib><creatorcontrib>Beaudoin, A.</creatorcontrib><creatorcontrib>Floury, N.</creatorcontrib><creatorcontrib>Le Toan, T.</creatorcontrib><creatorcontrib>Caraglio, Y.</creatorcontrib><creatorcontrib>Barczi, J.F.</creatorcontrib><title>Deriving forest canopy parameters for backscatter models using the AMAP architectural plant model</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>A new approach using an architectural plant model to feed various theoretical scattering models is presented as a better interpretation of future remote sensing data acquired over natural media. The method is based on the architectural plant model (AMAP), which integrates knowledge of botanical growth processes and real plant measurements. AMAP is encapsulated in a flexible interface software called AMAP2SAR that allows one to (1) simulate a three-dimensional (3-D) plant such as a tree, (2) transform the tree into a collection of cylinders, and (3) feed theoretical models such as radiative transfer (RT) models. The method is illustrated by an example of Austrian black pine plantations in southern France. Simulated characteristics of black pines are validated for stands up to 50 years old and for a given environment. The results show the ability to derive classical forest parameters as well as those needed for electromagnetic models (such as geometry) as a function of age. Vertical profiles of canopy elements are derived and point out the vertical heterogeneity of the stands after they are 20 years old for parameters having an impact on the backscatter such as diameter and number of branches. Consequently, the crown layer variability with age and canopy depth should be considered in RT models. An RT model is modified in order to take account of accurate canopy descriptions and deal with encouraging modeling results at Cand L-band over the same test site.</description><subject>Age</subject><subject>Agricultural sciences</subject><subject>Animal, plant and microbial ecology</subject><subject>Applied geophysics</subject><subject>Backscatter</subject><subject>Biological and medical sciences</subject><subject>Canopies</subject><subject>Computer simulation</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Electromagnetic modeling</subject><subject>Electromagnetic scattering</subject><subject>Exact sciences and technology</subject><subject>Feeds</subject><subject>Forests</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Information retrieval</subject><subject>Internal geophysics</subject><subject>Life Sciences</subject><subject>Mathematical models</subject><subject>Pine</subject><subject>Power system modeling</subject><subject>Remote monitoring</subject><subject>Remote sensing</subject><subject>Silviculture, forestry</subject><subject>Spaceborne radar</subject><subject>Stands</subject><subject>Studies</subject><subject>Teledetection and vegetation maps</subject><subject>Trees</subject><subject>Vegetation</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqNkkFr3DAQhUVoINtND7nmJFpI6cGpJEuydVyStilsSA7tWYzlUdep13YlO5B_HxmHBHpoo4tg5puH3tMQcsLZOefMfM71ueHpqAOy4kqVGdNSviErxo3ORGnEEXkb4x1jXCperAhcYmjum-4X9X3AOFIHXT880AEC7HHEEOcGrcD9jg7GVKD7vsY20inOU-MO6eZ6c0shuF0zohunAC0dWujGhTwmhx7aiO-e7jX5-fXLj4urbHvz7fvFZps5qdmYcS4kk1XtsapFAeCdz8H4shZeo1aOaV_nomLgSmNclcuiQqW9ls4jr1SRr8mnRXcHrR1Cs4fwYHto7NVma-caEykQqYp7ntiPCzuE_s-UbNt9Ex226dXYT9EaLnVupGCJPPsnmSLl2hTmFaDgsjDi_6AupFY6T-D7v8C7fgpdytCWZZJiUpkX1y70MQb0z9Y5s_NG2FzbZSMS--FJENJftj5A55r4PGCUmG2vyelCNYj40lwkHgHm8bxR</recordid><startdate>20010301</startdate><enddate>20010301</enddate><creator>Castel, T.</creator><creator>Beaudoin, A.</creator><creator>Floury, N.</creator><creator>Le Toan, T.</creator><creator>Caraglio, Y.</creator><creator>Barczi, J.F.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Techniques</topic><topic>Information retrieval</topic><topic>Internal geophysics</topic><topic>Life Sciences</topic><topic>Mathematical models</topic><topic>Pine</topic><topic>Power system modeling</topic><topic>Remote monitoring</topic><topic>Remote sensing</topic><topic>Silviculture, forestry</topic><topic>Spaceborne radar</topic><topic>Stands</topic><topic>Studies</topic><topic>Teledetection and vegetation maps</topic><topic>Trees</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Castel, T.</creatorcontrib><creatorcontrib>Beaudoin, A.</creatorcontrib><creatorcontrib>Floury, N.</creatorcontrib><creatorcontrib>Le Toan, T.</creatorcontrib><creatorcontrib>Caraglio, Y.</creatorcontrib><creatorcontrib>Barczi, J.F.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEL</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Electronics & Communications Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Castel, T.</au><au>Beaudoin, A.</au><au>Floury, N.</au><au>Le Toan, T.</au><au>Caraglio, Y.</au><au>Barczi, J.F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deriving forest canopy parameters for backscatter models using the AMAP architectural plant model</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2001-03-01</date><risdate>2001</risdate><volume>39</volume><issue>3</issue><spage>571</spage><epage>583</epage><pages>571-583</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>A new approach using an architectural plant model to feed various theoretical scattering models is presented as a better interpretation of future remote sensing data acquired over natural media. The method is based on the architectural plant model (AMAP), which integrates knowledge of botanical growth processes and real plant measurements. AMAP is encapsulated in a flexible interface software called AMAP2SAR that allows one to (1) simulate a three-dimensional (3-D) plant such as a tree, (2) transform the tree into a collection of cylinders, and (3) feed theoretical models such as radiative transfer (RT) models. The method is illustrated by an example of Austrian black pine plantations in southern France. Simulated characteristics of black pines are validated for stands up to 50 years old and for a given environment. The results show the ability to derive classical forest parameters as well as those needed for electromagnetic models (such as geometry) as a function of age. Vertical profiles of canopy elements are derived and point out the vertical heterogeneity of the stands after they are 20 years old for parameters having an impact on the backscatter such as diameter and number of branches. Consequently, the crown layer variability with age and canopy depth should be considered in RT models. An RT model is modified in order to take account of accurate canopy descriptions and deal with encouraging modeling results at Cand L-band over the same test site.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/36.911115</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-9650-9474</orcidid></addata></record> |
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subjects | Age Agricultural sciences Animal, plant and microbial ecology Applied geophysics Backscatter Biological and medical sciences Canopies Computer simulation Earth sciences Earth, ocean, space Electromagnetic modeling Electromagnetic scattering Exact sciences and technology Feeds Forests Fundamental and applied biological sciences. Psychology General aspects. Techniques Information retrieval Internal geophysics Life Sciences Mathematical models Pine Power system modeling Remote monitoring Remote sensing Silviculture, forestry Spaceborne radar Stands Studies Teledetection and vegetation maps Trees Vegetation |
title | Deriving forest canopy parameters for backscatter models using the AMAP architectural plant model |
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