A Mapping Approach for Eucalyptus Plantations Canopy and Single Tree Using High-Resolution Satellite Images in Liuzhou, China
文献类型：期刊论文
| 作者 | Zhang, Sen3,4,5; Cui, Yaoping3,4,5; Zhou, Yan3,4,5; Dong, Junwu2; Li, Wanlong3,4,5; Liu, Bailu3,4,5; Dong, Jinwei1 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 61页码:13 |
| 关键词 | Farming Vegetation Forestry Erosion Surveys Feature extraction Satellite images Adaptive iterative erosion Eucalyptus plantations high-resolution satellite image image morphology single-tree mapping |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2023.3327128 |
| 通讯作者 | Cui, Yaoping(cuiyp@lreis.ac.cn) ; Dong, Jinwei(dongjw@igsnrr.ac.cn) |
| 英文摘要 | Accurate canopy and single-tree mapping is important to obtain information on the ecological structure and biogeophysical parameters for forests. Although some airborne radars can retrieve canopy and single-tree information within a smaller area, the optical satellite imagery-based approaches for rapidly and accurately mapping them over a large region are still limited. In this study, based on Eucalyptus canopy and single-tree texture and spectral features, we proposed a mapping approach using the combinations of image morphology, the Otsu method, and an adaptive iterative erosion algorithm (EUMAP). Then, we applied the commonly used red/green/blue bands from the high-resolution satellite images, which are freely available, to map the canopy and single tree in Eucalyptus plantations in southern China. EUMAP consists of two steps: 1) Eucalyptus canopy identification for various canopy density regions and 2) adaptive iterative erosion to separate single tree. Our study was conducted in Chengzhong and Liubei, Liuzhou, China. The accuracy evaluation was carried out in the state-owned Sanmenjiang forest farm. The results showed that the average ${F}1$ score for mapping canopy and single tree reached 88.34% and 86.40%, respectively. For the whole study area, there were 7033021 Eucalyptus trees and the average density was 819 trees per hectare. The approach adopted in this study, combining the prior knowledge about image morphology and single-tree texture features of Eucalyptus plantations, was highly efficient for satellite image processing and had excellent applicability to large-scale Eucalyptus plantation mapping. Our study highlights the necessity of prior knowledge for forest mapping using satellite images without requiring a training sample and provides a universal approach of accurate large-scale mapping for specific forest species with common red/green/blue images. |
| WOS关键词 | DELINEATION ; SENTINEL-2 ; MODELS |
| 资助项目 | National Natural Science Foundation of China[42071415] ; Open Fund of Xinyang Institute of Ecology[2023XYMS014] ; Central Plains Talent Program (Cultivate Talents): Top-Notch Young Talents of Central Plains and Excellent Textbook Project for Graduate Students in Henan Province[YJS2023JC22] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001116425900004 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Open Fund of Xinyang Institute of Ecology ; Central Plains Talent Program (Cultivate Talents): Top-Notch Young Talents of Central Plains and Excellent Textbook Project for Graduate Students in Henan Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203060]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cui, Yaoping; Dong, Jinwei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100000, Peoples R China 2.Capital Normal Univ, Coll Resources Environm & Tourism, Beijing 100048, Peoples R China 3.Xinyang Ecol Res Inst, Xinyang 464000, Peoples R China 4.Dabieshan Natl Observat & Res Field Stn Forest Eco, Zhengzhou 450046, Peoples R China 5.Henan Univ, Coll Geog & Environm Sci, Key Lab Geospatial Technol Middle & Lower Yellow R, Minist Educ, Kaifeng 475004, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Sen,Cui, Yaoping,Zhou, Yan,et al. A Mapping Approach for Eucalyptus Plantations Canopy and Single Tree Using High-Resolution Satellite Images in Liuzhou, China[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:13. |
| APA | Zhang, Sen.,Cui, Yaoping.,Zhou, Yan.,Dong, Junwu.,Li, Wanlong.,...&Dong, Jinwei.(2023).A Mapping Approach for Eucalyptus Plantations Canopy and Single Tree Using High-Resolution Satellite Images in Liuzhou, China.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,13. |
| MLA | Zhang, Sen,et al."A Mapping Approach for Eucalyptus Plantations Canopy and Single Tree Using High-Resolution Satellite Images in Liuzhou, China".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。