Spatial extent of eelgrass (Zostera marina) meadows from monitoring sites within Gwaii Haanas (2016, 2017, 2018) mapped using remote piloted aerial systems
Bibliographic record
Abstract
This data package contains reports and datasets pertaining to mapping the spatial extent of eelgrass (Zostera marina) at monitoring sites within Gwaii Haanas National Park Reserve, National Marine Conservation Area Reserve, and Haida Heritage Site, located in Haida Gwaii, British Columbia, Canada. This work was a collaborative project between the Hakai Institute and Gwaii Haanas Parks Canada. Monitoring sites were mapped using small Remotely Piloted Aerial Systems (RPAS) (DJI Phantom Pro 3, Pro 4) during summer low tides in 2016, 2017 and 2018. Orthomosaics were created using a Structure from Motion Multi-View Stereo (SfM-MVS) workflow within Pix4Dmapper software (Version 2.1.61, Pix4D) in Windows 10 and georeferenced using group control points collected concurrently during the surveys. The extent of eelgrass at each site was delineated using object-based image analysis (OBIA) with eCognition Developer software (eCognition Developer 9, 2014) and manual delineation (where necessary). Georeferenced towed underwater video (SplashCam Pro) data were collected at eelgrass monitoring sites during high tide to provide ground-truth data for the aerial analysis and delineation of eelgrass. The data package includes: - The reports (.pdf) which describe project, data collection and processing methods and results for 2016, 2017 and 2018 surveys. - Polygon shapefiles (.shp) of the extent of eelgrass (Z. marina) at each monitoring site by year. - Point shapefiles (.shp) of classified towed underwater video transects by year. Coordinate system used: NAD1983 UTM Zone 9N These data were collected as an ongoing partnership between Gwaii Haanas Parks Canada and the Hakai Institute. This data package is a component of the Hakai Institute’s Habitat Mapping program. The overarching objective of the Hakai Habitat Mapping program is to generate spatial inventories of coastal habitats, investigate how these habitats are changing through time, and the drivers of that change. This data package is also a component of the National Marine Conservation Area ecological sustainability monitoring program of Parks Canada. The overarching goal of the program is to track changes in marine ecosystems, respond to environmental threats, and ensure ecologically sustainable use of marine resources. The use of this dataset requires permission from both Gwaii Haanas Parks Canada and the Hakai Institute. Please communicate and/or collaborate with Hakai and Gwaii Haanas Parks Canada if you are considering using this dataset for manuscripts or other forms of reporting. Contact luba@hakai.org or data@hakai.org for more information about data access and opportunities to collaborate with the Hakai Institute. Contact lynn.lee@pc.gc.ca or jake.burton@pc.gc.ca for more information about data access to and opportunities to collaborate with Gwaii Haanas Parks Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".