John Brandt | World Resources Institute
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John Brandt
Data Science Associate II
Contact
John
John Brandt is a Data Science Associate II in the Restoration team at WRI. He works on developing novel datasets to monitor forest and landscape restoration activities with remote sensing. This work analyzes petabytes of optical and radar satellite imagery with computer vision and deep learning approaches. John is the author of more than a dozen peer reviewed publications on machine learning applications in climate change research, and is a member of WRI's Land and Carbon Lab.
John's background is in machine learning and large-scale environmental modeling. Prior to joining WRI, John held academic and professional positions in water resource and biogeochemical modeling as well in large-scale financial modeling. He holds a Masters in Environmental Management from Yale University, and a B.A. in Biology from Vassar college.
Contact Information
Email:
[email protected]
Languages Spoken
Program(s)
Forests
Insights
Forests
Could AI Unlock Finance for Nature Restoration?
Insights
March 10, 2026
Forests
How to Monitor, Report on and Verify a Land Restoration Project
Update
February 25, 2025
Forests
Un conjunto nuevo de datos de mayor resolución muestra ahora los árboles dentro y fuera de los bosques tropicales
Update
June 6, 2023
Forests
Higher-Res Data Set Now Shows Trees Inside and Outside Forests Across the Tropics
Update
June 6, 2023
Forests
Des ensembles de données de plus haute résolution montrent désormais les arbres à l’intérieur et à l’extérieur des forêts à travers les Tropiques.
Update
June 6, 2023
Forests
Maintenant on peut visualiser les arbres à l'extérieur des forêts denses
Insights
October 26, 2021
Forests
Seeing the Trees Outside of Dense Forests Just Got Easier
Insights
October 26, 2021
Forests
The Road to Restoration: 3 Steps For Transforming Landscapes
Insights
October 1, 2020
Forests
New Location, New Perspectives: Hearing from African Voices in the Restoration Movement
Insights
September 11, 2020
Forests
The Challenge of Tracking How a Trillion Trees Grow
Insights
July 30, 2020
Research
Forest and Landscape Restoration
Land Restoration From Planting to Proof: A Guide to Monitoring, Reporting, and Verification
Research
January 12, 2026
Forest and Landscape Restoration
Transfer Learning To Detect Natural, Monoculture, and Agroforestry Tree-Based Systems in Ghana Using Remote Sensing
Research
December 12, 2025
Forests
Global Forest Review Trees Outside Forests Indicator
Research
December 15, 2023
Source :
Forest and Landscape Restoration
The Road to Restoration
Research
October 1, 2019
External Publications
"Ambient air pollution and consumer spending: Evidence from Spain"
By Brandt John, Goyal Nihit, Moroney Matthew, Janaskie Sophie, Hsu Angel
"PLOS ONE"
19
(2024): e0292245
DOI:
10.1371/journal.pone.0292245
"Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar"
By Tolan Jamie, Yang Hung-I, Nosarzewski Benjamin, Couairon Guillaume, Vo Huy V., Brandt John, Spore Justine, Majumdar Sayantan, Haziza Daniel, Vamaraju Janaki, Moutakanni Theo, Bojanowski Piotr, Johns Tracy, White Brian, Tiecke Tobias, Couprie Camille
"Remote Sensing of Environment"
300
(2024): 113888
DOI:
10.1016/j.rse.2023.113888
"Wall-to-wall mapping of tree extent in the tropics with Sentinel-1 and Sentinel-2"
By Brandt John, Ertel Jessica, Spore Justine, Stolle Fred
"Remote Sensing of Environment"
292
(2023): 113574
DOI:
10.1016/j.rse.2023.113574
"A global method to identify trees outside of closed-canopy forests with medium-resolution satellite imagery"
By Brandt John, Stolle Fred
"International Journal of Remote Sensing"
42
(2021): 1713-1737
DOI:
10.1080/01431161.2020.1841324
"The untapped potential of mining news media events for understanding environmental change"
By Buckingham Kathleen, Brandt John, Anderson Will, Amaral Luiz Fernando, Singh Ruchika
"Current Opinion in Environmental Sustainability"
45
(2020): 92-99
DOI:
10.1016/j.cosust.2020.08.015
"Identifying social media user demographics and topic diversity with computational social science: a case study of a major international policy forum"
By Brandt John, Buckingham Kathleen, Buntain Cody, Anderson Will, Ray Sabin, Pool John-Rob, Ferrari Natasha
"Journal of Computational Social Science"
(2020): 167-188
DOI:
10.1007/s42001-019-00061-9
Projects
Global Restoration Initiative
WRI is partnering with governments, businesses, and communities around the world to restore millions of hectares of deforested and degraded land.
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Part of
Forests
TerraMatch
TerraMatch connects local land restoration champions to capital and technical assistance through a trusted online system that vets their work, supports their growth, and monitors their progress.​
Launch Platform
Launch Platform
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Forest and Landscape Restoration
Land & Carbon Lab
Convened by World Resources Institute and the Bezos Earth Fund to develop breakthroughs in geospatial monitoring that power solutions for sustainable landscapes worldwide.
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Launch Platform
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Forests
Restore Local
Accelerating locally led land restoration across Africa’s vital landscapes
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Part of
Forest and Landscape Restoration
Global Forest Watch
Offering the latest data, technology and tools that empower people everywhere to better manage and protect forest landscapes.
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Launch Platform
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Forests