{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}
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.
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.