Microwave Remote Sensing: Data Processing and Applications II最新文献

筛选

英文中文

The potential of SAR data for detecting deforestation in mountainous and sparse forested areas: the case of northern Portugal SAR数据在山区和稀疏森林地区监测森林砍伐的潜力:以葡萄牙北部为例

Microwave Remote Sensing: Data Processing and Applications II Pub Date : 2023-10-20 DOI: 10.1117/12.2678995

Ana Navarro, Tomás Castro, João Sá, João Catalão, P. Benevides, Hugo Costa, Mário Caetano

{"title":"The potential of SAR data for detecting deforestation in mountainous and sparse forested areas: the case of northern Portugal","authors":"Ana Navarro, Tomás Castro, João Sá, João Catalão, P. Benevides, Hugo Costa, Mário Caetano","doi":"10.1117/12.2678995","DOIUrl":"https://doi.org/10.1117/12.2678995","url":null,"abstract":"Change detection in highly dynamic areas, such as vegetated areas, is necessary to improve the thematic accuracy of national land use/cover map production. Sentinel-1 data have proved its potential for change detection. However, its suitability in mountainous and sparse forested areas is not well known. Here, we propose a straightforward clear-cut detection method, using monthly backscatter and coherence composites in both polarizations. The monthly clear-cut masks are estimated using a multivariate alteration detection (MAD) algorithm, using the previous and following composite, and a threshold value corresponding to the 98th percentile. The method was applied to a test site in northern Portugal, mainly characterized by the presence of dense eucalyptus forest, in a mountainous area. A Sentinel-1 time series from February to October 2018 was considered. Results showed that the monthly clear-cut estimation is not only highly influenced by rainfall events, with F1-score values less than 0.11, for the rainy season, but also by terrain-induced geometric distortions and foliage characteristics of the eucalyptus stands. The highest accuracy metrics were obtained for June, with an F1-score value of 0.45, which was still considered unfavorable. Inaccurate monthly estimations are also affected by clear-cut events that occur over more than one month, with the sum of all masks producing results with F1- scores less than 0.41. When applied to another region, located southwest of the former site and near the coastline, but characterized by smoother slopes and scattered and sparse forested stands, the method retrieved equivalent recall, but increased precision of around 0.78 (false alarms reduction), resulting in higher F1-score values (0.56).","PeriodicalId":169094,"journal":{"name":"Microwave Remote Sensing: Data Processing and Applications II","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125300787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of proto-type KOMPSAT-5 SAR image analysis tool for automatic change detection and cueing 用于自动变化检测和提示的原型KOMPSAT-5 SAR图像分析工具的开发

Microwave Remote Sensing: Data Processing and Applications II Pub Date : 2023-10-20 DOI: 10.1117/12.2680500

Sung-Ho Chae, Seungjae Lee, Kwang-Jae Lee

{"title":"Development of proto-type KOMPSAT-5 SAR image analysis tool for automatic change detection and cueing","authors":"Sung-Ho Chae, Seungjae Lee, Kwang-Jae Lee","doi":"10.1117/12.2680500","DOIUrl":"https://doi.org/10.1117/12.2680500","url":null,"abstract":"The Republic of Korea is presently operating the KOMPSAT-5 Synthetic Aperture Radar (SAR) satellite and intends to launch the KOMPSAT-6 SAR satellite and a constellation system of micro-SAR satellites in the future. Therefore, the demand for SAR satellite information is increasing in various fields, but many public and private users who use national satellite information in practice use Electro-Optical and Infrared (EO/IR) satellite images. In this research, an independent KOMPSAT-5 SAR imagery analysis tool for Automatic Change Detection and Cueing (ACDC) was developed to promote the utilization of domestic SAR satellite information by practitioners in public sector organizations in Korea. For the development of SAR ACDC, the functions required for each processing step were analyzed in detail, and this was implemented as a proto-type tool. Algorithms that are the basis of the KOMPSAT-5 ACDC, for example, KOMPSAT-5 SAR image import, metadata comparison, SAR noise removal filtering, image co-registration, and change image generation, etc. were implemented. Moreover, the proto-type tool was developed so that users can use it correctly and conveniently by supporting an actual user-friendly interface. The ACDC algorithms and the tool are anticipated to be used in the future by users who use Korea's national satellite data for early detection of illegal ships and structures, as well as confirmation of wide-area disaster damage.","PeriodicalId":169094,"journal":{"name":"Microwave Remote Sensing: Data Processing and Applications II","volume":" 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131927495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Surface deformation monitoring using KOMPSAT-5 images and time-series InSAR technique: a case study of volcanic eruption of Kilauea, Hawaii 利用KOMPSAT-5图像和时间序列InSAR技术进行地表变形监测:以夏威夷基拉韦厄火山喷发为例

Microwave Remote Sensing: Data Processing and Applications II Pub Date : 2023-10-20 DOI: 10.1117/12.2680439

Seungjae Lee, Sung-Ho Chae, Kwang-Jae Lee

引用次数: 0