基于SAR时序影像物候归一化莲花指数的莲花湿地分布图及物候方法

IF 1 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Photogrammetric Engineering and Remote Sensing Pub Date : 2023-10-01 DOI:10.14358/pers.23-00012r2
Sheng Wang, Taixia Wu, Qiang Shen
{"title":"基于SAR时序影像物候归一化莲花指数的莲花湿地分布图及物候方法","authors":"Sheng Wang, Taixia Wu, Qiang Shen","doi":"10.14358/pers.23-00012r2","DOIUrl":null,"url":null,"abstract":"Lotus wetland is a type of wetland that can efficiently purify water. Therefore, rapid and accurate remote sensing monitoring of the distribution of lotus wetland has great significance to their conservation and the promotion of a sustainable and healthy development of ecosystems. The phenology-based method has proven effective in mapping some different types of wetlands. However, because of the serious absence of remote sensing data caused by cloud coverage and the differences in the phenological rhythms of lotus wetlands in different areas, achieving high-precision mapping of different regions using a unified approach is a challenge. To address the issue, this article proposes a Phenology Normalized Lotus Index (PNLI) model that combines SAR time-series imagery and the phenology-based method. The results of this study demonstrate that the PNLI model shows good applicability in different areas and has high mapping accuracy. The model can map the lotus wetland distribu tion in large areas quickly and simultaneously with high precision.","PeriodicalId":49702,"journal":{"name":"Photogrammetric Engineering and Remote Sensing","volume":"62 1","pages":"0"},"PeriodicalIF":1.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping Lotus Wetland Distribution with the Phenology Normalized Lotus Index Using SAR Time-Series Imagery and the Phenology-Based Method\",\"authors\":\"Sheng Wang, Taixia Wu, Qiang Shen\",\"doi\":\"10.14358/pers.23-00012r2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lotus wetland is a type of wetland that can efficiently purify water. Therefore, rapid and accurate remote sensing monitoring of the distribution of lotus wetland has great significance to their conservation and the promotion of a sustainable and healthy development of ecosystems. The phenology-based method has proven effective in mapping some different types of wetlands. However, because of the serious absence of remote sensing data caused by cloud coverage and the differences in the phenological rhythms of lotus wetlands in different areas, achieving high-precision mapping of different regions using a unified approach is a challenge. To address the issue, this article proposes a Phenology Normalized Lotus Index (PNLI) model that combines SAR time-series imagery and the phenology-based method. The results of this study demonstrate that the PNLI model shows good applicability in different areas and has high mapping accuracy. The model can map the lotus wetland distribu tion in large areas quickly and simultaneously with high precision.\",\"PeriodicalId\":49702,\"journal\":{\"name\":\"Photogrammetric Engineering and Remote Sensing\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Photogrammetric Engineering and Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14358/pers.23-00012r2\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photogrammetric Engineering and Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14358/pers.23-00012r2","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

摘要

荷花湿地是一种能高效净水的湿地。因此,对荷花湿地的分布进行快速、准确的遥感监测,对于保护荷花湿地,促进生态系统的持续健康发展具有重要意义。以物候为基础的方法已被证明在绘制某些不同类型的湿地地图方面是有效的。然而,由于云层覆盖导致的遥感数据严重缺失以及不同地区荷花湿地物候节律的差异,采用统一的方法实现不同地区的高精度制图是一个挑战。为了解决这一问题,本文提出了一种物候归一化莲花指数(PNLI)模型,该模型结合了SAR时间序列图像和基于物候的方法。研究结果表明,PNLI模型在不同区域具有良好的适用性,具有较高的制图精度。该模型能快速、同步、高精度地绘制大范围荷花湿地分布图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Mapping Lotus Wetland Distribution with the Phenology Normalized Lotus Index Using SAR Time-Series Imagery and the Phenology-Based Method
Lotus wetland is a type of wetland that can efficiently purify water. Therefore, rapid and accurate remote sensing monitoring of the distribution of lotus wetland has great significance to their conservation and the promotion of a sustainable and healthy development of ecosystems. The phenology-based method has proven effective in mapping some different types of wetlands. However, because of the serious absence of remote sensing data caused by cloud coverage and the differences in the phenological rhythms of lotus wetlands in different areas, achieving high-precision mapping of different regions using a unified approach is a challenge. To address the issue, this article proposes a Phenology Normalized Lotus Index (PNLI) model that combines SAR time-series imagery and the phenology-based method. The results of this study demonstrate that the PNLI model shows good applicability in different areas and has high mapping accuracy. The model can map the lotus wetland distribu tion in large areas quickly and simultaneously with high precision.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Photogrammetric Engineering and Remote Sensing
Photogrammetric Engineering and Remote Sensing 地学-成像科学与照相技术
CiteScore
1.70
自引率
15.40%
发文量
89
审稿时长
9 months
期刊介绍: Photogrammetric Engineering & Remote Sensing commonly referred to as PE&RS, is the official journal of imaging and geospatial information science and technology. Included in the journal on a regular basis are highlight articles such as the popular columns “Grids & Datums” and “Mapping Matters” and peer reviewed technical papers. We publish thousands of documents, reports, codes, and informational articles in and about the industries relating to Geospatial Sciences, Remote Sensing, Photogrammetry and other imaging sciences.
期刊最新文献
A Powerful Correspondence Selection Method for Point Cloud Registration Based on Machine Learning Identification of Critical Urban Clusters for Placating Urban Heat Island Effects over Fast-Growing Tropical City Regions: Estimating the Contribution of Different City Sizes in Escalating UHI Intensity A Novel Object Detection Method for Solid Waste Incorporating a Weighted Deformable Convolution GIS Tips & Tricks ‐ Relationships Count when Mapping? An Integrated Approach for Wildfire Photography Telemetry using WRF Numerical Forecast Products
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1