Zhihao Wang

Excited to share our latest research on foundation models in remote sensing! We've compared them with traditional ML and deep learning models to see which really performs best for pixel-level classification. doi.org/10.48550/arXiv… @umdgeography #remotesensing #foundationalmodel

📢 Tomorrow, March 1 at 1 p.m. EST via Zoom: Learn how Brazil's @Imazon uses geospatial intelligence to prevent deforestation in the Amazon, w/ @CMSouzaJr Details here ⤵️ go.umd.edu/preventing-Ama…

I'm teaching #Bayesian methods in my #DataAnalytics course this week. To support my students, I built this custom #Python dashboard with @matplotlib. Change the prior, likelihood and observed the posterior on #GitHub @ github.com/GeostatsGuy/Py… ∀. #DataScience #Statistics

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.

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…

@AnuJoshi_ @RyanPavlick Thanks for being interested!

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.

🗺️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…

Happy holidays from the Global Ecology Lab! @umdgeography @bsosumd @UMDResearch

what i wish someone had told me: blog.samaltman.com/what-i-wish-so…

@SIGSPATIAL_GIS I’m wondering when the paper will be published this year lolll. Can’t wait to check them out.

SIGSPATIAL is happening in two days from 13 to 16 Nov in Hamburg, Germany! Check this out for the detailed program and two keynotes by Carlo Ratti (MIT) and Arne Biastoch (GEOMAR Helmholtz Centre for Ocean Research): sigspatial2023.sigspatial.org/schedule/

"Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in M… arxiv.org/abs/1803.02642

Use private repositories with three of your closest collaborators *for free* 🙌 github.com/pricing