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Crowd-Driven Deep Learning Tracks Amazon Deforestation now available at: mdpi.com/2545160 #mdpiremotesensing via Remote Sensing MDPI

Automatic classification of land cover from LUCAS in-situ landscape photographs sciencedirect.com/science/articl…

🌲 #Forests🆕Feature Paper Article Series "The Return of Nature to the Chernobyl Exclusion Zone: Increases in #ForestCover of 1.5 Times Since the 1986 Disaster", written by Maksym Matsala et al. 💌 mdpi.com/1999-4907/12/8… ✨#Landsattimeseries #historicalsatelliteimages

Tracking unaccounted greenhouse gas emissions due to the war in Ukrain... sciencedirect.com/science/articl…

The innovative role of cities in solving global problems with local solutions journals.sagepub.com/doi/full/10.11…

Scientists Try to Assess Wars’ Impact on Environment, Climate Change voanews.com/a/scientists-t…

Excited to be travelling to the 2nd Stakeholder Workshop of the LAMASUS (@LAMASUS_EU) project where I will be discussing the land use management database and showcasing the latest maps from the ALFAwetlands Project project for the Netherlands.

📣 Call for Abstracts 📣 Special Issue on "Leveraging #NLP for Urban Analytics" in Environment & Planning B. Transform urban planning with #AI! 🏙️ 🗓️ Abstract Deadline: 24 April 2024 📩 Submit abstracts to Xinyu Fu at [email protected] More details: journals.sagepub.com/page/epb/colle…

Presented the #LAMASUS_EU land use management geodatabase at the second LAMASUS (@LAMASUS_EU) stakeholder workshop including the latest peatland mapping efforts from the ALFAwetlands Project project. IIASA

Come see my #LAMASUS_EU poster presentation today at #EGU24 on "Improving high-resolution spatial information on agricultural land use management in Europe for economic land use modelling and the assessment of policy impacts" #landuse #policymaking Post X1.86⏱ 16:15-18:00

We are always trying to find ways to optimize our crowdsourcing data collection. Here is a mathematical solution for how we do this. Land MDPI

Poster presentation LAMASUS (@LAMASUS_EU) at ESA Earth Observation's EO for Agriculture under Pressure 2024 Workshop: "Improving high-resolution spatial information on grassland management by integrating remotely sensed products with statistical and in situ data" #landuse #policy When: 13 May 2024, 6pm

First great paper from the PHD of Jan Pišl , a pan tropical study of deforestation subsequent land use using crowdsourced data! Collaboration with University of Zurich and IIASA Linda See Gaston Lenczner Lloyd Hughes

Determination of high-precision tropospheric delays using crowdsourced smartphone GNSS data amt.copernicus.org/articles/17/43…

New on the #IIASABlog: 🌊At the coalface of the fight against #PlasticPollution, Linda See shares her eye-opening experience at a recent beach cleanup event. From microplastics to fishing nets, the scale of the issue is staggering. 🔎 iiasa.ac.at/blog/aug-2024/… Global Goals Gazette

A new global hybrid map of annual herbaceous cropland at a 500 m resolution for the year 2019 doi.org/10.1088/1748-9… via IOP Environment

Talking about mapping land use management and the LAMASUS (@LAMASUS_EU) project at the #OEMC Global Workshop Open-Earth-Monitor project today at 14.30 at IIASA.

Presented the work on mapping land use management as part of the LAMASUS (@LAMASUS_EU) project at the #OEMC Global Workshop Open-Earth-Monitor project IIASA. Check out the lamasus.eu website for deliverables describing the project and data products.

Improving the representation of cattle grazing patterns in the European Union doi.org/10.1088/1748-9… via IOP Environment - New paper out as part of the LAMASUS (@LAMASUS_EU) project

Comparative Study of Random Forest and Support Vector Machine for Land Cover Classification and Post-Wildfire Change Detection mdpi.com/3035854 #mdpiland via Land MDPI published in: Integrating Remote Sensing and Geospatial Big Data for Land Use Mapping and Monitoring