Peat depth and carbon storage of the Hudson Bay Lowlands, Canada ...

This dataset contains ground-measured peat depth and maps with the spatial distribution of peat depth, carbon stock and uncertainty in the Hudson Bay Lowlands, Ontario, Canada. The ground-measured peat depth data was collected by a Russian-type peat corer from 32 sites in 3 groups spanning from 51oN...

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Bibliographic Details
Main Authors: Li, Yiyao, Han, Daorui, Rogers, Cheryl, Finkelstein, Sarah, Hararuk, Oleksandra, Waddington, James, Barreto, Carlos, Mclaughlin, James, Snider, James, Gonsamo, Alemu
Format: Dataset
Language:unknown
Published: Borealis 2024
Subjects:
Hudson Bay
Online Access:https://dx.doi.org/10.5683/sp3/tiraxj
https://borealisdata.ca/citation?persistentId=doi:10.5683/SP3/TIRAXJ
Description
Summary:This dataset contains ground-measured peat depth and maps with the spatial distribution of peat depth, carbon stock and uncertainty in the Hudson Bay Lowlands, Ontario, Canada. The ground-measured peat depth data was collected by a Russian-type peat corer from 32 sites in 3 groups spanning from 51oN to 55oN in July and September 2022. The version 1 maps were produced in the Remote Sensing Lab, McMaster University, on March 2024. To generate the peat depth map, we used 495 peat depth records from Ontario Ministry of Natural Resources and Forestry data archive, topographic information, long-term satellite observations of land surface temperature, greenness, and polarization signatures in Synthetic-Aperture Radar (SAR) as well as machine learning models. Data was trained using multi machine learning algorithms. Based on the Root Mean Squared Error (RMSE) derived from 10-fold cross-validation, four models were selected for further prediction, including Gradient Boosting Machine (GBM), Deep Learning, Distributed ...

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