Lei Ma

90 posts

Lei Ma

Lei Ma

@leima8815

Researcher at UMD_GEOG. Process-based models, land use, lidar remote sensing, terrestrial carbon cycle. 🌲 🛰️ 🌎

College Park, MD Katılım Ağustos 2016
250 Takip Edilen141 Takipçiler
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Lei Ma
Lei Ma@leima8815·
In this paper, we use 3.77 billion lidar samples collected by NASA GEDI and ICESat-2 missions to initialize a global Ecosystem Demography model. This greatly improves the spatial resolution of ecosystem modeling from 0.25/0.5° to 0.01°. @NASAEarthData @GEDI_Knights @NASA_ICESat2
Global Change Biology@GlobalChangeBio

|| NEW RESEARCH || Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling 📄 bit.ly/3MfPJ1u @NASAEarth @GEDI_Knights @UMDResearch @umdgeography @UMD_GEL

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Nature Geoscience
Nature Geoscience@NatureGeosci·
Article: The extreme hot and dry conditions of 2023 reduced soil respiration and enhanced net forest carbon sequestration in Canada, offsetting wildfire emissions nature.com/articles/s4156…
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GEDI
GEDI@GEDI_Knights·
Curious about #GEDI mission status, competed science team projects, and applications? Look no further than our latest article in The Earth Observer👇👇👇 Summary of the 2025 GEDI Science Team Meeting science.nasa.gov/uncategorized/… via @NASA
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GEDI
GEDI@GEDI_Knights·
Another invigorating #GEDI Science Team meeting in the books, our first with this competed science team cohort! ✨ Thank you to everyone who attended both in-person and virtually. @umdgeography @bsosumd
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Lei Ma
Lei Ma@leima8815·
This work extends our LiDAR initialization approach to constrain forest carbon dynamics in the past. Now, we have a consistent geospatial approach for monitoring and modeling carbon changes from past to future. More to come!
George Hurtt@georgehurtt

New remote-sensing based forest carbon monitoring and modeling system in offical state use. Beyond MRV: combining remote sensing and ecosystem modeling for geospatial monitoring and attribution of forest carbon fluxes over Maryland, USA iopscience.iop.org/article/10.108…

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George Hurtt
George Hurtt@georgehurtt·
New remote-sensing based forest carbon monitoring and modeling system in offical state use. Beyond MRV: combining remote sensing and ecosystem modeling for geospatial monitoring and attribution of forest carbon fluxes over Maryland, USA iopscience.iop.org/article/10.108…
George Hurtt tweet media
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GEDI
GEDI@GEDI_Knights·
Exciting #GEDI news! ✨ The team continues towards instrument reactivation. Robotic maneuvers scheduled for late day (EDT) April 22 and overnight into April 23, will relocate GEDI to its previous site on the ISS. Possible ISS operations may cause delays. Stay tuned for updates!
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Lei Ma
Lei Ma@leima8815·
Very excited to have been selected!!!Together with support from GEDI CST, I will explore the power of novel LiDAR observations and ecosystem modeling to constrain forest regrowth and soil carbon dynamics over the next three years.
Department of Geographical Sciences@umdgeography

👏 Asst Research Prof @leima8815 receives NASA funding for soil carbon research, integrating lidar data and ecosystem modeling, with collaborators Prof @georgehurtt & @NASAGoddard's Lesley Ott. Learn more: go.umd.edu/carbon-dynamic…

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GEDI
GEDI@GEDI_Knights·
Faces of the new #GEDI competed science team cohort! 😁🤩🛰️
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America Is All In
America Is All In@americaisallin·
🚨NEW REPORT🚨 Taking action in the land sector is critical to achieving the United States’ climate goals and supporting: ✅Climate resilience ✅Food security ✅Biodiversity ✅Public health Explore our latest report➡️ americaisallin.com/harnessing-the…
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UMD Public Policy
UMD Public Policy@UMDPublicPolicy·
As climate change intensifies in the U.S., the carbon sink is increasingly threatened by natural disturbances. @AmericaisAllin's new report outlines rapid near-term actions that can bolster and expand the carbon sink and contribute to U.S. climate goals: americaisallin.com/harnessing-the…
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Lei Ma
Lei Ma@leima8815·
We contributed to the modeling of the forestry and land use sector. We estimated the potential carbon sequestration benefits of various afforestation and reforestation scenarios, along with the associated uncertainties stemming from indeterminate planting locations.
Department of Geographical Sciences@umdgeography

Maryland's Climate Pollution Reduction Plan, including insights from GEOG's @georgehurtt + @leima8815 + Quan Shen, outlines strategies to reduce emissions 60% by 2031 and achieve net zero by 2045, w/ @MDEnvironment go.umd.edu/md-climate-pol…

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Zhihao Wang
Zhihao Wang@Zhihao__·
We're thrilled to announce DeepED, the AI-driven model for Ecosystem Demography (EDv3), part of NASA's CMS and GEDI mission. DeepED transforms ecosystem modeling, enabling advanced, scalable computations and extensive projections, marking a new epoch in global carbon monitoring.
Department of Geographical Sciences@umdgeography

🗺️GEOG PhD student Zhihao Wang w/@leima8815 @georgehurtt + more unveil "'Deep-ED," an AI-powered ecosystem modeling of forest carbon dynamics with better spatial resolution. Learn more: go.umd.edu/deep-ed-forest…

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MD Environment
MD Environment@MDEnvironment·
NEWS RELEASE: Climate Pollution Reduction Plan Cuts Emissions by 60 percent. Read the plan here: tinyurl.com/3bfth9np
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Keşfet

@NASA @umdgeography @bsosumd @NASAEarth @georgehurtt @CLNakalembe @JoanneVHall @AmericaisAllin