Proper models to estimate aboveground biomass using Quickbird satellite imagery in plantation areas of Isfahan’s Mobarakeh Steel Company
Direct measurement of aboveground biomass of trees is considered as one of the labor-intensive, expensive, time consuming and destructive tasks. The objective of this study was to estimate the biomass of four coniferous and deciduous trees species (Pinus eldarica, Cupressus arizonica, Robinia pseudo...
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| Format: | Article |
| Language: | fas |
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Research Institute of Forests and Rangelands of Iran
2015-03-01
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| Series: | تحقیقات جنگل و صنوبر ایران |
| Subjects: | |
| Online Access: | http://ijfpr.areeo.ac.ir/article_102373_f55705416e82b2ee45398c2d53b81daf.pdf |
| _version_ | 1819264357291261952 |
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| author | Seyyedeh Zahra Hosseini Mojghan Abbasi Siavash Bakhtiarvand Mohammad Salehi |
| author_facet | Seyyedeh Zahra Hosseini Mojghan Abbasi Siavash Bakhtiarvand Mohammad Salehi |
| author_sort | Seyyedeh Zahra Hosseini |
| collection | DOAJ |
| description | Direct measurement of aboveground biomass of trees is considered as one of the labor-intensive, expensive, time consuming and destructive tasks. The objective of this study was to estimate the biomass of four coniferous and deciduous trees species (Pinus eldarica, Cupressus arizonica, Robinia pseudoacacia and Morus alba) by means of high resolution Quickbird remotely-sensed data of over a plantation are established around the industrial domain of Isfahan’s Mobarakeh Steel Company. To this aim, three approaches based on vegetation indices, texture analysis and Principal Component Analysis (PCA) were applied to extract required information from satellite imagery. The correlation analysis between field-assessed biomass and the image-based information and regression models were built. The results using vegetation indices (DVI and NDVI) for coniferous species as well as athose from texture analysis and PCA for deciduous species showed significant corelations. As depicted by the species-specific regression of biomass revealed the amount of RMSE for P. eldarica, C. arizonica, R. pseudoacacia and M. alba to be 53, 20, 30 and 50, respectively. Moreover, species-specific biases for P. eldarica, C. arizonica, R. pseudoacacia and M. alba was shown to be 30, 10, -30 and 44 respectively. The results of this study supports the use of the applied Quickbird data for model-based estimation of aboveground biomass across the study site. |
| first_indexed | 2024-12-23T20:28:12Z |
| format | Article |
| id | doaj.art-25aab61c0d4a4e598471c8f9729f566f |
| institution | Directory Open Access Journal |
| issn | 1735-0883 2383-1146 |
| language | fas |
| last_indexed | 2024-12-23T20:28:12Z |
| publishDate | 2015-03-01 |
| publisher | Research Institute of Forests and Rangelands of Iran |
| record_format | Article |
| series | تحقیقات جنگل و صنوبر ایران |
| spelling | doaj.art-25aab61c0d4a4e598471c8f9729f566f2022-12-21T17:32:18ZfasResearch Institute of Forests and Rangelands of Iranتحقیقات جنگل و صنوبر ایران1735-08832383-11462015-03-0123114315310.22092/ijfpr.2015.102373102373Proper models to estimate aboveground biomass using Quickbird satellite imagery in plantation areas of Isfahan’s Mobarakeh Steel CompanySeyyedeh Zahra Hosseini0Mojghan Abbasi1Siavash Bakhtiarvand2Mohammad Salehi3M.Sc. Student, Department of Forest Science, Faculty of Natural Resources and Earth Science, University of Shahrekord, Shahrekord, IranAssistant prof., Department of Forest Science, Faculty of Natural Resources and Earth Science, University of Shahrekord, Shahrekord, IranPh.D. Student, Department of Forest Science, Faculty of Natural Resources and Earth Science, University of Shahrekord, Shahrekord, IranM.Sc. Forestry, Department of Forest Science, Faculty of Natural Resources and Earth Science, University of Shahrekord, Shahrekord, IranDirect measurement of aboveground biomass of trees is considered as one of the labor-intensive, expensive, time consuming and destructive tasks. The objective of this study was to estimate the biomass of four coniferous and deciduous trees species (Pinus eldarica, Cupressus arizonica, Robinia pseudoacacia and Morus alba) by means of high resolution Quickbird remotely-sensed data of over a plantation are established around the industrial domain of Isfahan’s Mobarakeh Steel Company. To this aim, three approaches based on vegetation indices, texture analysis and Principal Component Analysis (PCA) were applied to extract required information from satellite imagery. The correlation analysis between field-assessed biomass and the image-based information and regression models were built. The results using vegetation indices (DVI and NDVI) for coniferous species as well as athose from texture analysis and PCA for deciduous species showed significant corelations. As depicted by the species-specific regression of biomass revealed the amount of RMSE for P. eldarica, C. arizonica, R. pseudoacacia and M. alba to be 53, 20, 30 and 50, respectively. Moreover, species-specific biases for P. eldarica, C. arizonica, R. pseudoacacia and M. alba was shown to be 30, 10, -30 and 44 respectively. The results of this study supports the use of the applied Quickbird data for model-based estimation of aboveground biomass across the study site.http://ijfpr.areeo.ac.ir/article_102373_f55705416e82b2ee45398c2d53b81daf.pdfsatellite imageplantationBiomassMobarakeh Steel CompanyQuickbird |
| spellingShingle | Seyyedeh Zahra Hosseini Mojghan Abbasi Siavash Bakhtiarvand Mohammad Salehi Proper models to estimate aboveground biomass using Quickbird satellite imagery in plantation areas of Isfahan’s Mobarakeh Steel Company تحقیقات جنگل و صنوبر ایران satellite image plantation Biomass Mobarakeh Steel Company Quickbird |
| title | Proper models to estimate aboveground biomass using Quickbird satellite imagery in plantation areas of Isfahan’s Mobarakeh Steel Company |
| title_full | Proper models to estimate aboveground biomass using Quickbird satellite imagery in plantation areas of Isfahan’s Mobarakeh Steel Company |
| title_fullStr | Proper models to estimate aboveground biomass using Quickbird satellite imagery in plantation areas of Isfahan’s Mobarakeh Steel Company |
| title_full_unstemmed | Proper models to estimate aboveground biomass using Quickbird satellite imagery in plantation areas of Isfahan’s Mobarakeh Steel Company |
| title_short | Proper models to estimate aboveground biomass using Quickbird satellite imagery in plantation areas of Isfahan’s Mobarakeh Steel Company |
| title_sort | proper models to estimate aboveground biomass using quickbird satellite imagery in plantation areas of isfahan s mobarakeh steel company |
| topic | satellite image plantation Biomass Mobarakeh Steel Company Quickbird |
| url | http://ijfpr.areeo.ac.ir/article_102373_f55705416e82b2ee45398c2d53b81daf.pdf |
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