Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating

Leena Matikainen, Miloš Pandžić, Fashuai Li, Kirsi Karila, Juha Hyyppä, Paula Litkey, Antero Kukko, Matti Lehtomäki, Mika Karjalainen, Eetu Puttonen

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
34 Downloads (Pure)

Abstract

The rapid development of remote sensing technologies provides interesting possibilities for the further development of nationwide mapping procedures that are currently based mainly on passive aerial images. In particular, we assume that there is a large undiscovered potential in multitemporal airborne laser scanning (ALS) for topographic mapping. In this study, automated change detection from multitemporal multispectral ALS data was tested for the first time. The results showed that direct comparisons between height and intensity data from different dates reveal even small changes related to the development of a suburban area. A major challenge in future work is to link the changes with objects that are interesting in map production. In order to effectively utilize multisource remotely sensed data in mapping in the future, we also investigated the potential of satellite images and ground-based data to complement multispectral ALS. A method for continuous change monitoring from a time series of Sentinel-2 satellite images was developed and tested. Finally, a high-density point cloud was acquired with terrestrial mobile laser scanning and automatically classified into four classes. The results were compared with the ALS data, and the possible roles of the different data sources in a future map updating process were discussed.
Original languageEnglish
Article number044504
Pages (from-to)1-35
Number of pages35
JournalJournal of applied remote sensing
Volume13
Issue number4
DOIs
Publication statusPublished - 14 Oct 2019

Keywords

  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-HYBRID

Fingerprint Dive into the research topics of 'Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating'. Together they form a unique fingerprint.

Cite this