{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/fusion-of-hyperspectral-and-ground","title":"Fusion of hyperspectral and ground penetrating radar to estimate soil moisture","arxiv_id":"1804.05273","date":"2018-04-14","proceeding":null,"authors":["Felix M. Riese","Sina Keller"],"abstract":"In this contribution, we investigate the potential of hyperspectral data\ncombined with either simulated ground penetrating radar (GPR) or simulated\n(sensor-like) soil-moisture data to estimate soil moisture. We propose two\nsimulation approaches to extend a given multi-sensor dataset which contains\nsparse GPR data. In the first approach, simulated GPR data is generated either\nby an interpolation along the time axis or by a machine learning model. The\nsecond approach includes the simulation of soil-moisture along the GPR profile.\nThe soil-moisture estimation is improved significantly by the fusion of\nhyperspectral and GPR data. In contrast, the combination of simulated,\nsensor-like soil-moisture values and hyperspectral data achieves the worst\nregression performance. In conclusion, the estimation of soil moisture with\nhyperspectral and GPR data engages further investigations.","url_abs":"http://arxiv.org/abs/1804.05273v3","url_pdf":"http://arxiv.org/pdf/1804.05273v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"fusion-of-hyperspectral-and-ground","repo_url":"https://github.com/felixriese/hyperspectral-processing","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"gpr","task_name":"GPR"},{"task_slug":"soil-moisture-estimation","task_name":"Soil moisture estimation"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}