Leveraging Remote Sensing Products to Estimate Grassland Productivity in the Canadian Prairies

Abstract

Abstract Remote sensing is the acquisition of data about an area without being in direct contact with it. It can be used to estimate vegetation productivity, offering a cost-effective and efficient alternative to traditional field measurements. This technology enables timely and consistent monitoring of large areas over time using satellite sensors. More recently, drone-mounted sensors have been used for monitoring smaller areas with higher spatial resolutions. Indices derived from remote sensing datasets can be used to estimate vegetation productivity and health, as well as to monitor grassland ecosystems promptly. By providing detailed and frequent data, remote sensing supports the development of sustainable practices and policies that promote efficient land management, ensuring the long-term health and productivity of grassland ecosystems. A case study of Manitoba’s rangeland ecoregions is provided to illustrate how remote sensing products can be used to quantify grassland distribution in different geographic regions of the province. Information © The Authors 2024