Model of characteristic parameter for forest plantation with data obtained by light small aerial remote sensing system
Even though China mainly uses foreign aerial photography system, this study, based on Chinese self-developed high-precision small aerial remote sensing system, established a model between remote sensing data and the ground forestry stand value, and evaluated the accuracy of the model and the feasibi...
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Veröffentlicht in: | Nong ye gong cheng xue bao 2013-04, Vol.29 (8), p.164-170 |
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description | Even though China mainly uses foreign aerial photography system, this study, based on Chinese self-developed high-precision small aerial remote sensing system, established a model between remote sensing data and the ground forestry stand value, and evaluated the accuracy of the model and the feasibility of the aviation system in forestry. The tree height and tree diameter at breast height (DBH) measured by traditional methods were treated as the reference values. The height model's overall relative error RS was 0.8%, the average relative error E was 0.71%, and the estimated precision P was 97.5%. Therefore, the forecast accuracy is high and can achieve the forestry production requirement standard error of less than 5%. The DBH model's overall relative error RS is -1.9%, the average relative error is E -2.0%, and forecast precision P is 91.6%. |
doi_str_mv | 10.3969/j.issn.1002-6819.2013.08.019 |
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The tree height and tree diameter at breast height (DBH) measured by traditional methods were treated as the reference values. The height model's overall relative error RS was 0.8%, the average relative error E was 0.71%, and the estimated precision P was 97.5%. Therefore, the forecast accuracy is high and can achieve the forestry production requirement standard error of less than 5%. 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The tree height and tree diameter at breast height (DBH) measured by traditional methods were treated as the reference values. The height model's overall relative error RS was 0.8%, the average relative error E was 0.71%, and the estimated precision P was 97.5%. Therefore, the forecast accuracy is high and can achieve the forestry production requirement standard error of less than 5%. The DBH model's overall relative error RS is -1.9%, the average relative error is E -2.0%, and forecast precision P is 91.6%.</description><subject>Accuracy</subject><subject>Aerials</subject><subject>Agricultural engineering</subject><subject>Errors</subject><subject>Forestry</subject><subject>Mathematical models</subject><subject>Remote sensing</subject><subject>Trees</subject><issn>1002-6819</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNo9T0tLAzEYzEHBUvsfvoMHL7vm4W6SoxRfUPGi55JnG8lu1k2q9N8btHgYhhmGYQahK4JbJnt589GGnMeWYEybXhDZUkxYi0WLiTxDi3__Aq1yDhp3hHGMb8kCfb0k6yIkD2avZmWKm0MuwcBU1eCqBJ9-4XKBKaqxqBLSCN-h7MGqoiDposLoLOgjxLDbF8iDihFUrVIRZjek4iC7MYdxB_mYixsu0blXMbvViZfo_eH-bf3UbF4fn9d3m2YimJVG1s299BZLxS2jRDEupDHa094zT4zWzgvOSMcsI5JbLByTvBM9paLTvWZLdP3XO83p81AvbIeQjYv1h0uHvCWcY1rjhLEfBhRj2w</recordid><startdate>20130415</startdate><enddate>20130415</enddate><creator>Wang, Jia</creator><creator>Yang, Huiqiao</creator><creator>Feng, Zhongke</creator><creator>Xing, Zhe</creator><creator>He, Cheng</creator><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20130415</creationdate><title>Model of characteristic parameter for forest plantation with data obtained by light small aerial remote sensing system</title><author>Wang, Jia ; Yang, Huiqiao ; Feng, Zhongke ; Xing, Zhe ; He, Cheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p103t-981969fd09a7d321a3789ccbf26f3f1cbbef873153d3197d08e3975862285b6b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>Aerials</topic><topic>Agricultural engineering</topic><topic>Errors</topic><topic>Forestry</topic><topic>Mathematical models</topic><topic>Remote sensing</topic><topic>Trees</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jia</creatorcontrib><creatorcontrib>Yang, Huiqiao</creatorcontrib><creatorcontrib>Feng, Zhongke</creatorcontrib><creatorcontrib>Xing, Zhe</creatorcontrib><creatorcontrib>He, Cheng</creatorcontrib><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Nong ye gong cheng xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jia</au><au>Yang, Huiqiao</au><au>Feng, Zhongke</au><au>Xing, Zhe</au><au>He, Cheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model of characteristic parameter for forest plantation with data obtained by light small aerial remote sensing system</atitle><jtitle>Nong ye gong cheng xue bao</jtitle><date>2013-04-15</date><risdate>2013</risdate><volume>29</volume><issue>8</issue><spage>164</spage><epage>170</epage><pages>164-170</pages><issn>1002-6819</issn><abstract>Even though China mainly uses foreign aerial photography system, this study, based on Chinese self-developed high-precision small aerial remote sensing system, established a model between remote sensing data and the ground forestry stand value, and evaluated the accuracy of the model and the feasibility of the aviation system in forestry. The tree height and tree diameter at breast height (DBH) measured by traditional methods were treated as the reference values. The height model's overall relative error RS was 0.8%, the average relative error E was 0.71%, and the estimated precision P was 97.5%. Therefore, the forecast accuracy is high and can achieve the forestry production requirement standard error of less than 5%. The DBH model's overall relative error RS is -1.9%, the average relative error is E -2.0%, and forecast precision P is 91.6%.</abstract><doi>10.3969/j.issn.1002-6819.2013.08.019</doi><tpages>7</tpages></addata></record> |
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subjects | Accuracy Aerials Agricultural engineering Errors Forestry Mathematical models Remote sensing Trees |
title | Model of characteristic parameter for forest plantation with data obtained by light small aerial remote sensing system |
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