Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/56782| Title: | Shadow Detection and Removal in High Spatial Resolution Imagery - Dataset | Contributor(s): | Cameron, Mark (creator); Kumar, Lalit (supervisor) |
Publication Date: | 2021-03-16 | DOI: | 10.25952/kbs8-ga54 | Handle Link: | https://hdl.handle.net/1959.11/56782 | Related Research Outputs: | https://hdl.handle.net/1959.11/56781 | Abstract/Context: | The dataset includes high resolution optical images and empirical data used in the research to detect and remove shadows from imagery. Images are from Leica's ADS40 and ADS80 sensors and the Worldview-3 satellite. ADS40 images are 50-cm resolution and capture Woolgoolga, NSW. The single ADS80 image is 10-cm resolution and captures a small part of Kingscliff, NSW. the Worldview-3 images is 1.2 m resolution and captures the Emerald Beach area in NSW. Other data is from a field base study and includes images (ERDAS .img) of shadow from a Canon SLR plus spectral signatures (2500 wavelengths) from a FR Spectroradiometer of the same shadows in Excel format. | Publication Type: | Dataset | Fields of Research (FOR): | 050104 Landscape Ecology | Fields of Research (FoR) 2020: | 410206 Landscape ecology | Socio-Economic Objective (SEO): | 960906 Forest and Woodlands Land Management | Socio-Economic Objective (SEO) 2020: | 180607 Terrestrial erosion 180603 Evaluation, allocation, and impacts of land use |
Keywords: | High-resolution imagery Shadow detection and removal Spectral signatures |
Location: | Woolgoolga, Kingscliff and Emerald Beach, New South Wales, Australia | HERDC Category Description: | X Dataset | Project: | Shadow Detection and Removal in High Spatial Resolution Imagery | Dataset Managed By: | Mark Cameron | Rights Holder: | Mark Cameron | Dataset Stored at: | University of New England | Primary Contact Details: | Mark Cameron - mark.cameron@environment.nsw.gov.au | Dataset Custodian Details: | Mark Cameron - mark.cameron@environment.nsw.gov.au |
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| Appears in Collections: | Dataset School of Education School of Environmental and Rural Science |
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