Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine Learning

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 24; p. 4972
• Main Authors: Badreldin, Nasem, Prieto, Beatriz, Fisher, Ryan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2021
• Subjects: Big Data; Classification; Decision making; Decision trees; Environmental protection; Grasses; grassland; Grasslands; Learning algorithms; Machine learning; Mapping; mixed grassland ecoregion; Principal components analysis; Remote sensing; Remote sensors; Satellites; Sensors; Spatial distribution; Synthetic aperture radar; Technology assessment; Topography; Vegetation; Wildlife conservation; Canada; Saskatchewan Canada

Accurate spatial distribution information of native, mixed, and tame grasslands is essential for maintaining ecosystem health in the Prairie. This research aimed to use the latest monitoring technology to assess the remaining grasslands in Saskatchewan’s mixed grassland ecoregion (MGE). The classifi...