Large-scale single tree information extraction of oil palm in Malaysia based on sub-meter visible light satellite images
文献类型：期刊论文
| 作者 | Zhang, Sen1,2,3; Li, Nan2,3; Cui, Yaoping2,3; Dong, Jinwei4; Yu, Le5; Ran, Lishan6; Chen, Ziyue7; Niu, Jiqiang8; Yan, Wei8; Kanniah, Kasturi Devi9 |
| 刊名 | COMPUTERS AND ELECTRONICS IN AGRICULTURE
 |
| 出版日期 | 2025-11-01 |
| 卷号 | 238页码:110796 |
| 关键词 | Oil palm RGB image Texture feature Morphology Single tree |
| ISSN号 | 0168-1699 |
| DOI | 10.1016/j.compag.2025.110796 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | The distribution of specific tree species and single tree information can scale down the research scale of geography and ecology, bridging research from regional to local scales. However, accurately extracting the spatial distribution and single tree information for a tree species regionally has always been a challenge due to data and algorithm constraints. With sub-meter visible light satellite images (RGB bands), we constructed a novel method for extracting the spatial distribution and single tree information of oil palm trees across Malaysia, namely the Single Tree Extraction Method-Oil Palm (STEM-OP). STEM-OP includes three algorithms: (1) a graphic morphological algorithm based on gradient difference window detection to extract the spatial distribution of oil palm plantations, (2) a double ring sliding detection algorithm to identify the canopy texture features of single oil palm trees, and (3) an adaptive iterative erosion algorithm to separate adjacent canopies into single trees. The overall accuracy of spatial distribution and number of single oil palm trees extracted by STEM-OP exceeded 90% and 80%, respectively. Our study revealed that the total area of oil palm plantations in Malaysia was 5.25 million hectares around 2022, with a total of 572.6 million oil palm trees and an average planting density of 109 palms per hectare. The study demonstrates efficiency benefits due to its use of RGB image bands and the lack of a need for training samples. The spatial distribution and single tree information of oil palm trees on a national scale are of great value to the formulation of oil palm plantation development policies and ecological protection measures. |
| URL标识 | 查看原文 |
| WOS关键词 | CLASSIFICATION ; PLANTATIONS ; DELINEATION ; COUNT |
| WOS研究方向 | Agriculture ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001545590900001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215651]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Cui, Yaoping; Dong, Jinwei |
| 作者单位 | 1.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China; 2.Henan Univ, Key Lab Geospatial Technol Middle & Lower Yellow R, Minist Educ, Kaifeng 475004, Peoples R China; 3.Henan Univ, Fac Geog Sci & Engn, Int Sch Technol, Zhengzhou 450046, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; 5.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China; 6.Univ Hong Kong, Dept Geog, Pokfulam, Hong Kong 999077, Peoples R China; 7.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; 8.Xinyang Normal Univ, Coll Geog Sci, Xinyang 464000, Peoples R China; 9.Univ Teknol Malaysia, Fac Built Environm & Surveying, Dept Geoinformat, Skudai 81310, Johor Bahru, Malaysia; 10.Univ Oklahoma, Ctr Spatial Anal, Dept Microbiol & Plant Biol, Norman, OK 73019 USA |
| 推荐引用方式 GB/T 7714 | Zhang, Sen,Li, Nan,Cui, Yaoping,et al. Large-scale single tree information extraction of oil palm in Malaysia based on sub-meter visible light satellite images[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2025,238:110796. |
| APA | Zhang, Sen.,Li, Nan.,Cui, Yaoping.,Dong, Jinwei.,Yu, Le.,...&Xiao, Xiangming.(2025).Large-scale single tree information extraction of oil palm in Malaysia based on sub-meter visible light satellite images.COMPUTERS AND ELECTRONICS IN AGRICULTURE,238,110796. |
| MLA | Zhang, Sen,et al."Large-scale single tree information extraction of oil palm in Malaysia based on sub-meter visible light satellite images".COMPUTERS AND ELECTRONICS IN AGRICULTURE 238(2025):110796. |
入库方式： OAI收割
来源：地理科学与资源研究所
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