[RangelandsPartnership] Land and Carbon Lab WEBINAR: Monitoring Global Grasslands and Livestock

Gondor, Anne - (gondora) gondora at arizona.edu
Tue Mar 28 06:32:11 MST 2023


Hi All,
Here is something perhaps of interest to some of you.
Best,

Anne Gondor
Research Specialist, Senior
School of Natural Resources & the Environment
College of Agriculture & Life Sciences
University of Arizona
Tucson, Arizona USA 85721
gondora at email.arizona.edu
Zoom Phone Extension 302255


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From: Land & Carbon Lab <landcarbonlab at wri.org<mailto:landcarbonlab at wri.org>>
Date: Fri, Mar 24, 2023 at 12:06 PM
Subject: WEBINAR: Monitoring Global Grasslands and Livestock




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Land & Carbon Lab offers data, insights, and partnerships towards addressing the global land squeeze.

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Land & Carbon Lab Invites You to

Global Pasture Watch:
Mapping & Monitoring Global Grasslands and Livestock<https://connect.wri.org/e/120942/1395-WN-52ZpS8qnTAaZ589msQhxXg/596714i/1117845357?h=pf47TI8NfsTh6guuF9jgcH819lCReasAQxDxKhccLQ0>

Wednesday, April 12, 2023
9-10:30 am ET | 14:00-15:30 UTC
Online




[Register Here]<https://connect.wri.org/e/120942/1395-WN-52ZpS8qnTAaZ589msQhxXg/596714i/1117845357?h=pf47TI8NfsTh6guuF9jgcH819lCReasAQxDxKhccLQ0>




Pastures and rangelands are the single most extensive land use on Earth. To meet global climate goals, we need to understand the productivity of these areas and how they are changing over time. Yet monitoring efforts dedicated to pastures and rangelands are rare, and currently there is no good understanding of their location, area and condition.

A new Land & Carbon Lab research consortium, Global Pasture Watch, aims to produce recurrent and high-resolution (30-meter) maps for pasture areas and productivity from 2000 onwards. The project uses ensemble machine learning algorithms, visual interpretations, crowdsourcing and earth observation data fusion to produce per-pixel probabilities of land use and land cover, livestock density, woody vegetation height and gross primary productivity (GPP).

Join us on April 12 to learn more about how the resulting products will contribute to better understanding of land use conversion, food production, land productivity, and impacts for biodiversity, land restoration and climate change at a global scale.




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