SILVIS Lab retweeted
Differences in flammability and risk between human- and lightning-ignited fires are obvious. Our new paper reveals this issue with strong implications for fire modeling and management.
Risky days for anthropogenic fires are growing faster than risky days for lightning-caused fires. Human-caused fires can occur in wetter conditions, as they ignite in dead grass or wood, rather than in the moist canopy where lightning strikes. Read now: ow.ly/c2X650V290e
SILVIS Lab retweeted
#GLPOSM5 pre conference @LCLUCProgram South America focus @SilvisLab Volker Radeloff on wildlife urban interface dynamics and wildfires in South America
SILVIS Lab retweeted
Products for global change science and management applications. Propose 13 essential, 11 desirable, plus aspirational products. #landcover #biodiversity
Radeloff et al. Need and vision for global medium-resolution #Landsat and #Sentinel2 data products.
🔗doi.org/10.1016/j.rse.2023.1…
SILVIS Lab retweeted
Shijuan Chen @shijuan_chen from #Yale University presented a poster on #urbanization and #FireRisk at the global #wildland-urban interface, with Karen Seto, Volker Radeloff, Franz Schug, and Jennifer Balch at the @LCLUCProgram Science Team Meeting, 2024.
SILVIS Lab retweeted
📢Radeloff et al. (2024) discuss the need to monitor global changes in #climate, #landcover, and #landuse, which threaten natural ecosystems, #biodiversity, and vital ecosystem services.
➡️It proposes creating a suite of 13 essential global medium-resolution satellite data products to track and monitor spatiotemporal changes. These products, designed for both management and scientific purposes, will enhance understanding of the hydrosphere, cryosphere, and biosphere.🌊🧊🌲
➡️The paper emphasizes leveraging the capabilities of #Landsat and #Sentinel2 satellites, building upon the success of @NASA's MODIS/VIIRS products. This initiative aims to provide high-level, standardized, and consistent products to fulfill the long-standing vision of the Landsat program. 🛰️🛰️🛰️🛰️
#OpenAccess: doi.org/10.1016/j.rse.2023.1…
SILVIS Lab retweeted
Mainstreaming the use of Cold War spy-satellite images for ecology and conservation!
New review paper out in BioScience led by @catalinamunte 👉 academic.oup.com/bioscience/…
@BiogeoBerlin, @HumboldtUni, @MSCActions @EJMilnerGulland @SilvisLab
SILVIS Lab retweeted
Since graduating from WildCRU's postgraduate diploma in 2013, Yuri Petrunenko gained his PhD on trophic #ecology of #tigers, conducted further research at @SilvisLab & is now starting an exciting new role in his home country. Onwards & upwards!
Read more: bit.ly/3vRtPLR
SILVIS Lab retweeted
It is necessary to track and monitor spatiotemporal change at a level of detail that can inform science, management & policy development. Images to info:
Radeloff et al. Need and vision for global medium-resolution #Landsat and #Sentinel2 data products.
🔗sciencedirect.com/science/ar…
SILVIS Lab retweeted
First global map of #WildlandUrbanInterface in @Nature!
@kaim_dominik Congrats! 🎉🎉
@naukawpolsce @SilvisLab
#WUI #GlobalMap #landscape #landuse #Science #scicomm #Geography #geospatial #LandscapeEcology #urban #nature #forest
[#JUscientists] W czasopiśmie @Nature ukazał się artykuł naukowców z 🇺🇸, 🇮🇱, 🇩🇪 i 🇵🇱. Współautorem pracy jest dr Dominik Kaim (@kaim_dominik) z Instytutu Geografii i Gospodarki Przestrzennej UJ. Artykuł dot. pierwszej globalnej mapy sąsiedztwa osadnictwa i obszarów naturalnych.
SILVIS Lab retweeted
New article about Wildland-Urban Interface (WUI) in Poland, of which I am a co-author 🙂 I highly recommended! 😎
@JagiellonskiUni
@HES_GEO
@SilvisLab
#landscape #landscapeEcology #urbanization
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SILVIS Lab retweeted
If you are interested in our latest paper on changes in ground cover fractions in #grasslands in Eurasia (🔓 doi.org/10.1111/gcb.16800), now you can view and download the results at: silvis.forest.wisc.edu/euras…
@SilvisLab @hyinhe @kirstendebeurs @UW_FWEcology
SILVIS Lab retweeted
Spatio-temporal indices show hotspots of high & low conservation concern. Use spatial & inter-annual variability in veg greenness & land surface temp. #MODIS for inter-annual variability. #Landsat texture for spatial variability. @SilvisLab
Silveira etal. sciencedirect.com/science/ar…
SILVIS Lab retweeted
|| NEW RESEARCH ||
Beyond “greening” and “browning”: Trends in grassland ground cover fractions across Eurasia that account for spatial and temporal autocorrelation
📄 bit.ly/43xkAfl @kelewinska @SilvisLab
SILVIS Lab retweeted
New paper alert🚨 open access 🔓
We studied changes in ground cover fractions in grasslands across Eurasia accounting for temporal and spatial autocorrelation. Check it out at: doi.org/10.1111/gcb.16800
🧵
SILVIS Lab retweeted
Professor Volker Radeloff from @SilvisLab was our second guest of Centre of Excellence Talks 👇
@JagiellonskiUni #JUevent
hesgeo.blog/2023/03/21/centr…
SILVIS Lab retweeted
From our #SocioEcologicalSystems track:
Since the 1990s, #wildfire has increasingly threatened homes in the southern Rockies; new research shows how much development & changing weather matter
doi.org/10.1002/ecs2.4403
#OpenAccess @USGS @SilvisLab @LCLUCProgram @usfs_nrs @NC_CASC

ALT The extent of the Southern Rockies level III ecoregion, and our input data layers, including (A) 2017 Land Change Monitoring, Assessment, and Projection primary land cover, (B) 2010 housing density, (C) 2010 wildland–urban interface classification, (D) 1990–1999 Monitoring Trends in Burn Severity (MTBS) burned area, (E) 2000–2009 MTBS burned area, and (F) 2010–2019 MTBS burned area
SILVIS Lab retweeted
At the Winter #Landsat @USGSLandsat @NASA_Landsat Science Team meeting, the always-eloquent @mikewulder talks about the breadth of accomplishments of the current team - too many to fit on one slide! 🛰️ 👏🏻
SILVIS Lab retweeted
Time machine, where Corona 🕵️🛰️ data available, for historic #landcover mapping.
Rizayeva et al. Large-area, 1964 land cover classifications of Corona spy satellite imagery for the Caucasus Mountains.
Includes comparison of object- & pixel-based results.
sciencedirect.com/science/ar…
SILVIS Lab retweeted
Our new paper is out in Remote Sensing of Environment! Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery. @esilveira_duda @SilvisLab @UW_FWEcology
authors.elsevier.com/a/1gAN0…
SILVIS Lab retweeted
Snow cover dynamics: an overlooked yet important feature of winter bird occurrence and abundance across the United States
onlinelibrary.wiley.com/doi/…
#birds #SDM #remotesensing #machinelearning @Team_eBird






























