A Novel Approach to Mapping the Spatial Distribution of Fruit Trees Using Phenological Characteristics
文献类型：期刊论文
| 作者 | Han, Liusheng1,2; Wang, Xiangyu2; Li, Dan1; Yu, Wenjie3; Feng, Zhaohui4; Lu, Xingqiang5; Wang, Shengshuai2; Zhang, Zhiyi2; Gao, Xin6; Fan, Junfu2 |
| 刊名 | AGRONOMY-BASEL
 |
| 出版日期 | 2024 |
| 卷号 | 14期号:1页码:23 |
| 关键词 | growth stage features decision tree fruit tree species spatial mapping synthetic aperture radar (SAR) |
| DOI | 10.3390/agronomy14010150 |
| 通讯作者 | Li, Dan(lidan@gdas.ac.cn) ; Feng, Zhaohui(fengzh@igsnrr.ac.cn) |
| 英文摘要 | The lack of high-spectral and high-resolution remote sensing data is impeding the differentiation of various fruit tree species that share comparable spectral and spatial features, especially for evergreen broadleaf trees in tropical and subtropical areas. Here, we propose a novel decision tree approach to map the spatial distribution of fruit trees at a 10 m spatial resolution based on the growth stage features extracted from Sentinel-1A (S-1A) time-series synthetic aperture radar (SAR) data. This novel method was applied to map the spatial distribution of fruit trees in Maoming City, which is known for its vast cultivation of fruit trees, such as litchi, citrus, and longan. The results showed that the key to extracting information on the distribution of fruit trees lies in the fact that the fruit ripening and expansion period attenuates the information on the vegetation of fruit trees, a characteristic of the reproductive period. Under VH polarization, different fruit tree growth stage traits were more separable and easier to distinguish. The optimal features, such as Hv (high valley value of the 14 May, 26 May, and 7 June SAR data), Tb (difference between the 7 June and 14 January SAR data), Cr (high valley value of the 13 July, 25 July, and 6 August SAR data), and Lo (high valley value of the 23 September, 17 October, and 11 November SAR data), were constructed based on the optimal window. The thresholds for these features were set to 1, 1, 1.5, and 1, respectively. The classification model can effectively distinguish different fruit trees and extract distribution information with overall accuracy (OA) of 90.34% and a Kappa coefficient of 0.84. The proposed method extracts the spatial distribution information of different fruit trees more accurately and provides a reference for the extraction of more tropical and subtropical species. |
| WOS关键词 | TIME-SERIES ; CROP ; PARAMETERS ; SENTINEL-1 |
| 资助项目 | Natural Science Foundation of Shandong Province |
| WOS研究方向 | Agriculture ; Plant Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001149392600001 |
| 出版者 | MDPI |
| 资助机构 | Natural Science Foundation of Shandong Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/202269]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Dan; Feng, Zhaohui |
| 作者单位 | 1.Guangdong Acad Sci, Guangzhou Inst Geog, Guangzhou 510070, Peoples R China 2.Shandong Univ Technol, Sch Civil Engn & Geomat, Zibo 255000, Peoples R China 3.Maoming Meteorol Observ Guangdong Prov, Maoming 525000, Peoples R China 4.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 5.Satellite SHANDONG Technol Grp Co Ltd, Jinan 250031, Peoples R China 6.GEOVIS Wisdom Technol Co Ltd, Qingdao 266109, Peoples R China |
| 推荐引用方式 GB/T 7714 | Han, Liusheng,Wang, Xiangyu,Li, Dan,et al. A Novel Approach to Mapping the Spatial Distribution of Fruit Trees Using Phenological Characteristics[J]. AGRONOMY-BASEL,2024,14(1):23. |
| APA | Han, Liusheng.,Wang, Xiangyu.,Li, Dan.,Yu, Wenjie.,Feng, Zhaohui.,...&Fan, Junfu.(2024).A Novel Approach to Mapping the Spatial Distribution of Fruit Trees Using Phenological Characteristics.AGRONOMY-BASEL,14(1),23. |
| MLA | Han, Liusheng,et al."A Novel Approach to Mapping the Spatial Distribution of Fruit Trees Using Phenological Characteristics".AGRONOMY-BASEL 14.1(2024):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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