Lin Xiong (@lin_umd) header
Lin Xiong (@lin_umd) profile picture

Lin Xiong

@lin_umd

Currently @umdgeography, postdoc at @CoastalECU, PhD @UHEAS. Remote sensing for Earth science. Geospatial data scientist.

 College Park, MD
sites.google.com/view/linxiong/
Joined April 2018
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🎉🎉👇Paper Alert👇🎉🎉 sciencedirect.com/science/ar… I am super excited that my first #mangrove paper is available online! With tremendous help from co-authors! @DLagomasino, Dr. Edward Castaneda, @EarthToLola , Dr. Bruce Cook, and all others.
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What is G-LiHT? G-LiHT is a portable, airborne imaging system that simultaneously bring LiDAR ,imaging spectroscopy, thermal measurements , G-LiHT provides fine-scale (<1 m) observations over large areas. gliht.gsfc.nasa.gov/
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These measurements help us understand the structure of the forest and will support our second goal: preparing for an upcoming NASA Goddard LiDAR, Hyperspectral & Thermal Imager (G-LiHT) campaign.” gestar2.umbc.edu/post/163081…
GESTAR II Scientists Study Forest Diversity in Maryland and Puerto Rico

GESTAR II Scientists Study Forest Diversity in Maryland and Puerto Rico

GESTAR II researchers from NASA Goddard’s Biospheric Sciences Lab have covered quite a bit of ground these past few months, conducting fieldwork and lab work and collaborating with the National...

gestar2.umbc.edu
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Lin Xiong retweeted
NEON (@NEON_sci) profile picture
NEON@NEON_sciOct 5
NEON Science Seminar next week! Join in virtually Tuesday, September 13 at 12 p.m. MDT to hear Zhongqi Miao from Microsoft, AI for Good Lab present “Project Sparrow: From the field to the lab – A full AI solution for biodiversity." Register to attend: buff.ly/AfkrqpY
Image from NEON (@NEON_sci)
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This can not be one day's task without AI! I used Codex by ChatGPT to build a local website to view NASA G-LiHT data tiles. Tools used include Python + SQLite+geojson-vt + vt-pbf+MapLibre GL JS+OpenFreeMap+HTML, CSS, JavaScript+Node.js+Automated tests + browser checks.
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EDGE NEWS Helen Fricker will join scientists, artists, writers, "curious minds from all over the world" at the Exploratorium's After Dark event: Pale Blue Dot Thu, Sep 3, 2026 • 6 - 10pm [Event Link] exploratorium.edu/visit/cale…
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Geosciences Core Research: Atmospheric, Geospace, Earth and Ocean Sciences (GEO Core) nsf.gov/funding/opportunitie…
Geosciences Core Research: Atmospheric, Geospace, Earth and Ocean Sciences (GEO Core)

Geosciences Core Research: Atmospheric, Geospace, Earth and Ocean Sciences (GEO Core)

nsf.gov
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land cover conersions are carbon sink! Despite global forest loss and cropland/urban expansion, LCC led to a net carbon gain of 229 Tg C. nature.com/articles/s41467-0…
Newly established forests dominated global carbon sequestration change induced by land cover...

Newly established forests dominated global carbon sequestration change induced by land cover...

Nature Communications - Global land cover conversions increased carbon uptake during 1982 to 2019, with newly established forests in the Northern Hemisphere driving gains that counterbalanced...

nature.com
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Nature Study Uses GEDI Data to Reveal How Climate Controls Tropical Forest Biomass gedi.umd.edu/nature-study-us…
Nature Study Uses GEDI Data to Reveal How Climate Controls Tropical Forest Biomass - GEDI

Nature Study Uses GEDI Data to Reveal How Climate Controls Tropical Forest Biomass - GEDI

gedi.umd.edu
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bsos.umd.edu/featured-conten…

UMD Study: Climate Has Unequal Impacts on Different Tropical Forests

bsos.umd.edu
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happening now !
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IEEE Geoscience and Remote Sensing Society (@IEEE_GRSS) profile pictureIEEE Geoscience and Remote Sensing Society
@IEEE_GRSSAug 10
#IGARSS2026 officially opens in Washington, D.C.! 🛰️🌎 Join us for the Opening Ceremony & Plenary Session, beginning with the official welcome and recognition of distinguished award recipients and IEEE Fellows, followed by a morning of perspectives on where Earth observation is heading next. 🎤 Prof. Indroyono Soesilo will explore Earth Observation Beyond Images: From Science to Decisions, Diplomacy, and Our Shared Future. 🌦️ Rei Goffer, Co-Founder and Chief Strategy Officer of Tomorrow.io, will look at how commercial weather satellites are changing access to environmental intelligence. 🛰️ Karen St. Germain, Director of NASA’s Earth Science Division, will take us from Earth’s core to the stratosphere through NASA’s Earth-observing missions. 🌎 Timothy Walsh of NOAA/NESDIS will close the featured talks with a look at the operational architecture behind environmental intelligence for the decades ahead. 📅 Monday, 10 August 2026 ⏰ From 08:00 AM 📍 International Ballroom Center, Washington Hilton Four perspectives. Academia, industry, NASA, and NOAA. One morning looking at the future of Earth observation. See you there! 🚀 #IEEE #GRSS #IGARSS2026 #EarthObservation #RemoteSensing #Geoscience #NASA #NOAA #WashingtonDC
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Welcome to Washington D.C. IGARSS 2026! I will present: MO3.R18.1: "Mapping global forest canopy height through fusion of GEDI and ICESat-2 measurements" Session Time: Monday, 10 August, 13:45 - 15:00 #IGARSS2026 #GEDI #ICESat-2 #ResearchCollaboration #DataFusion
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Looking forward to see the open-weight model for science. genesisopenmodels.anl.gov
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looking forward to the talk!
Department of Geographical Sciences (@umdgeography) profile pictureDepartment of Geographical Sciences@umdgeographyAug 6
Don't miss this hybrid seminar next Wed, Aug. 12! @ESALQMidias Prof Matheus Pinheiro Ferreira will talk about forest monitoring & applied remote sensing projects in Brazil. Details: geog.umd.edu/event/seminar-d…
An academic event flyer featuring a headshot of speaker Matheus Pinheiro Ferreira alongside event details from the University of Maryland Department of Geographical Sciences: Header: University of Maryland Department of Geographical Sciences logo. Title: "Deep Learning-Based Fusion of Optical and Sar Imagery for Canopy Height Mapping in Brazil" Description: "This talk presents a deep learning framework that fuses Sentinel-2 optical imagery with C-band Sentinel-1 and L-band ALOS PALSAR data to map forest canopy height across São Paulo state, Brazil, using a comprehensive 2024 statewide airborne LiDAR campaign." Date & Time: Aug. 12, 2026 at 10 a.m. Location: River Road, Room 325 & Zoom Speaker Info: Matheus Pinheiro Ferreira, Professor, Department of Forest Sciences 'Luiz de Queiroz' College of Agriculture (ESALQ), University of São Paulo.

ALT An academic event flyer featuring a headshot of speaker Matheus Pinheiro Ferreira alongside event details from the University of Maryland Department of Geographical Sciences: Header: University of Maryland Department of Geographical Sciences logo. Title: "Deep Learning-Based Fusion of Optical and Sar Imagery for Canopy Height Mapping in Brazil" Description: "This talk presents a deep learning framework that fuses Sentinel-2 optical imagery with C-band Sentinel-1 and L-band ALOS PALSAR data to map forest canopy height across São Paulo state, Brazil, using a comprehensive 2024 statewide airborne LiDAR campaign." Date & Time: Aug. 12, 2026 at 10 a.m. Location: River Road, Room 325 & Zoom Speaker Info: Matheus Pinheiro Ferreira, Professor, Department of Forest Sciences 'Luiz de Queiroz' College of Agriculture (ESALQ), University of São Paulo.

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Don't miss this hybrid seminar next Wed, Aug. 12! @ESALQMidias Prof Matheus Pinheiro Ferreira will talk about forest monitoring & applied remote sensing projects in Brazil. Details: geog.umd.edu/event/seminar-d…
An academic event flyer featuring a headshot of speaker Matheus Pinheiro Ferreira alongside event details from the University of Maryland Department of Geographical Sciences: Header: University of Maryland Department of Geographical Sciences logo. Title: "Deep Learning-Based Fusion of Optical and Sar Imagery for Canopy Height Mapping in Brazil" Description: "This talk presents a deep learning framework that fuses Sentinel-2 optical imagery with C-band Sentinel-1 and L-band ALOS PALSAR data to map forest canopy height across São Paulo state, Brazil, using a comprehensive 2024 statewide airborne LiDAR campaign." Date & Time: Aug. 12, 2026 at 10 a.m. Location: River Road, Room 325 & Zoom Speaker Info: Matheus Pinheiro Ferreira, Professor, Department of Forest Sciences 'Luiz de Queiroz' College of Agriculture (ESALQ), University of São Paulo.

ALT An academic event flyer featuring a headshot of speaker Matheus Pinheiro Ferreira alongside event details from the University of Maryland Department of Geographical Sciences: Header: University of Maryland Department of Geographical Sciences logo. Title: "Deep Learning-Based Fusion of Optical and Sar Imagery for Canopy Height Mapping in Brazil" Description: "This talk presents a deep learning framework that fuses Sentinel-2 optical imagery with C-band Sentinel-1 and L-band ALOS PALSAR data to map forest canopy height across São Paulo state, Brazil, using a comprehensive 2024 statewide airborne LiDAR campaign." Date & Time: Aug. 12, 2026 at 10 a.m. Location: River Road, Room 325 & Zoom Speaker Info: Matheus Pinheiro Ferreira, Professor, Department of Forest Sciences 'Luiz de Queiroz' College of Agriculture (ESALQ), University of São Paulo.

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The main driver is drought and outbreaks of bark beetles.
ESA Climate Office (@esaclimate) profile pictureESA Climate Office
@esaclimateAug 5
Europe's forests have been losing 46 % more biomass per hectare disturbed forest each year since 2018 than in any comparable period on record.🌲 A new study in @NatureGeosci is the first to measure not just where Europe's forests were disturbed, but how much biomass disappeared along with them. Severe droughts across Central Europe have triggered massive bark beetle infestations, affecting precisely the oldest and densest forests – those that contain the most biomass. This puts increasing pressure on the Europe’s forest carbon sink. Read more about the study here: climate.esa.int/en/news-even…
These images show the absolute severity (left) and relative severity (right) of above-ground biomass (AGB) density loss from European forests caused by natural disturbances and harvest. Absolute severity measures the loss of above-ground biomass after a disturbance, such as wind, fire or insect damage, or after tree harvesting. Relative severity is a percentage loss relative to the biomass measured before disturbance or harvest. Credit: ESA (data source: Kowalski et al. 2026).

ALT These images show the absolute severity (left) and relative severity (right) of above-ground biomass (AGB) density loss from European forests caused by natural disturbances and harvest. Absolute severity measures the loss of above-ground biomass after a disturbance, such as wind, fire or insect damage, or after tree harvesting. Relative severity is a percentage loss relative to the biomass measured before disturbance or harvest. Credit: ESA (data source: Kowalski et al. 2026).

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Please consider submitting your GEDI/ICESat-2/EDGE abstracts here! #lidar #agu2026 #GEDI #ICESat #EDGE agu.confex.com/agu/agu26/pre…
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We look forward to your submissions! The AGU abstract submission deadline is 5 August 2026 (23:59 EDT / 03:59 UTC)! G001. Advances in Geodetic Mapping of Earth: Insights from NASA’s Satellite Laser Altimetry Missions (ICESat, ICESat-2, and GEDI) and the Path to EDGE
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gedi.umd.edu/the-times-of-in…
The Times of India highlights new study using GEDI to track tropical forest regrowth - GEDI

The Times of India highlights new study using GEDI to track tropical forest regrowth - GEDI

gedi.umd.edu
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UMD releases open gedih3 toolkit that simplifies the use of GEDI data to forest mapping gedi.umd.edu/umd-releases-op…
UMD releases open gedih3 toolkit that simplifies the use of GEDI data to forest mapping - GEDI

UMD releases open gedih3 toolkit that simplifies the use of GEDI data to forest mapping - GEDI

gedi.umd.edu
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The biomass product should include @GEDI_Knights for calibration and validation. It is the best spaceborne datasets, in tropical forests for biomass! climate.esa.int/en/catalogue…
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Lin Xiong retweeted
GEDI (@GEDI_Knights) profile picture
GEDI@GEDI_KnightsJul 28
Drum roll please... #gedih3 is officially released!🎉 gedih3 turn billions of NASA GEDI LiDAR footprints into analysis-ready spatial datasets — from the command line or Python. Learn more here tiagodc.github.io/GEDI-H3/ and access the source code at github.com/tiagodc/GEDI-H3 !
Image from GEDI (@GEDI_Knights)
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