Vinicius Perin

[Xiaojie Gao @MrJGao]

📢 📢 📢 Our `blsp` https://t.co/dlBF6Odq1B R package now supports getting Landsat time series from @Microsoft Planetary Computer for producing ~40 years of phenology at 30 m scale, another option besides the GEE script we provided earlier. Thank @ecoterrestrian and @ocsmit!

[Dr. Mirela G. Tulbure 🛰 🌎 + 🐍 + 🌊 @MirelaGTulbure]

Floods 🌊are deadly; satellite data can track them 🛰

Great news brief by @NASA_Landsat featuring our @NASA funded work showing that we need frequent satellite observations such as NASA’s Harmonized #Landsat - #Sentinel 2 data to quantify #floods:

https://t.co/Bdb3V8o8NQ

[Vinicius Perin @_ViniPerin_]

@MirelaGTulbure @NCSUgeospatial @planet Thank you so much @MirelaGTulbure! It was a great journey, thank you for supporting me all the way!

[Sheila Saia @sheilasaia]

Really cool @NCSUgeospatial PhD seminar by @_ViniPerin_ (advisor: @MirelaGTulbure), who used satellite imagery analysis to identify and study ag water reservoir surface area spatio-temporal trends. 🚜💧🛰️💻 (1/5)

[NC State Center for Geospatial Analytics @NCSUgeospatial]

We've got TWO #GeospatialAnalytics PhD students defending this month! First is @_ViniPerin_ (advisor @MirelaGTulbure), whose public talk about quantifying the dynamics of on-farm reservoirs will be on Zoom and in person at 1:30pm ET, Fri. 9/9. Learn more: https://t.co/H93bjMtc5f

[Dr. Mirela G. Tulbure 🛰 🌎 + 🐍 + 🌊 @MirelaGTulbure]

So proud of my @NCSUgeospatial Ph.D. student, Mollie Gaines, on her 1st paper in @AGU’s WRR using data-driven models to estimate surface #water area based on #climate, land cover/land use, and #Landsat inundation datasets in the SE United States:

https://t.co/PsrcEcu9W9

[Dr. Mirela G. Tulbure 🛰 🌎 + 🐍 + 🌊 @MirelaGTulbure]

1/11 Can we detect more #floods with NASA’s Harmonized #Landsat - #Sentinel 2 data than with one sensor alone? YES, WE CAN!
https://t.co/qrmOqh7AIH

1st paper from our @NASA grant w @uncglobalhydro, @NCSUgeospatial PhD students @_ViniPerin_ & Mollie, @sunyesf @NASAGoddard @UNSW

[Vinicius Perin @_ViniPerin_]

Daily monitoring on-farm reservoirs using the next generation of analysis ready datasets, Planet Fusion and Planet Basemap provided by @planet.

Thanks @planet, @NASA, @NCSUgeospatial and @MirelaGTulbure for all the support!

https://t.co/pLUMteeICw

[Vinicius Perin @_ViniPerin_]

3/3 By improving the surface area observations cadence and providing the surface area uncertainties, the approach presented in this study has the potential to enhance water conservation plans by allowing better assessment and management of the on-farm reservoirs.

[Vinicius Perin @_ViniPerin_]

Can we monitor on-farm reservoirs sub-weekly surface area changes ?

Check our Labs' latest publication👇on combining >440k satellite image clips to monitor >700 on-farm reservoirs.

https://t.co/ch261IomIM

[Vinicius Perin @_ViniPerin_]

2/3 We used SkySat imagery to calculate the uncertainties of each sensor, and to validate our model.

[North Carolina Space Grant @ncspacegrant]

#ICYMI, @NCState @NCSUgeospatial student Ian McGregor won an #NCSpaceGrant award, then landed a @NASA FINESST program award to research how to detect illegal logging in real time with #satellitedata. He's a #foresthero! Read his guest post here:

https://t.co/eL0psGP5mJ

[Vinicius Perin @_ViniPerin_]

Very honored! Thanks for all the support
@MirelaGTulbure @NCSUgeospatial and @NASA!

[Dr. Mirela G. Tulbure 🛰 🌎 + 🐍 + 🌊 @MirelaGTulbure]

Kudos to my @NCSUgeospatial PhD student @_ViniPerin_ for winning a highly competitive @NASA FINESST grant https://t.co/HVf0kzX5uP

and to @MrJGao also from @NCSUgeospatial

[NC State Center for Geospatial Analytics @NCSUgeospatial]

With #RemoteSensing there's often a trade-off btw observation frequency & spatial resolution. Using #Bayesian methods, #GeospatialAnalytics PhD student @MrJGao solved this problem for tracking #phenology, using over 30 years of #Landsat data. https://t.co/GjDk0sprO2

[NC State Center for Geospatial Analytics @NCSUgeospatial]

Research roundup (4/4)
• Long-term annual phenology w/a Bayesian hierarchical model | Research led by #GeospatialAnalytics PhD student @MrJGao is the first to estimate >30 yrs of land surface change w/30-m #Landsat imagery, w/pixel-wise uncertainty: https://t.co/bSAaOslDJb

[Dr. Mirela G. Tulbure 🛰 🌎 + 🐍 + 🌊 @MirelaGTulbure]

1/5 Do existing inundation datasets based on #Landsat capture dynamics of small on-farm #irrigation reservoirs?

Read 👇 our latest paper led by my @NCSUgeospatial PhD student Vini Perin (congrats on the 1st PhD manuscript, Vini!)

https://t.co/25GB5h3RtT