Eric Jensen
@RangeSpatialist
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Geospatial Data Scientist at @ClimateEngOrg and @DRIScience | Spatial data in climate and conservation 📊🌐🌱 | #EarthEngine @GoogleDevExpert | #RStats #Python
Fort Collins, CO
Joined January 2017
Big day for our @ClimateEngOrg team today — a relaunch of Climate Engine with a new website, support site, and YouTube channel! 🥳 As always, the App is free for non-commercial users and makes #EarthEngine cloud computing easy, so check it out! 🛰️ https://t.co/G0ExEczAwo
Hello World! We're https://t.co/rfjmO16sGH! Since 2016, the https://t.co/rfjmO16sGH App and API have supported government, non-profit, and tribal partners in leveraging #Climate and #RemoteSensing datasets and today we are doubling down on our mission.
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Grassland and rangeland folks! We are seeking someone for our rangeland ecology Chair position. Full title OR at least 10 years experience outside of academia. LOTS of financial support: https://t.co/6Ncx60Ut1r Work with me!!!!!! #range @sustainablerangeland #grassland
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The second video in "The Climate Engine Backpack" video series is now live! 🥳 Learn about "Producing near real-time #drought maps using the Climate Engine app" using #ERA5 to calculate SPI and SPEI for any location on the planet ☀️🌧️ 📽️ https://t.co/7RiIGfzv92
@ClimateEngOrg
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Climate Engine uses @googleearth #EarthEngine to calculate numerical #drought indices, allowing users to determine which time period, statistical distribution, and input variables are used — this video walks you through those choices so you can get started! #Climate #DataScience
The second video in "The Climate Engine Backpack" video series is now live! 🥳 Learn about "Producing near real-time #drought maps using the Climate Engine app" using #ERA5 to calculate SPI and SPEI for any location on the planet ☀️🌧️ 📽️ https://t.co/7RiIGfzv92
@ClimateEngOrg
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The second video in "The Climate Engine Backpack" video series is now live! 🥳 Learn about "Producing near real-time #drought maps using the Climate Engine app" using #ERA5 to calculate SPI and SPEI for any location on the planet ☀️🌧️ 📽️ https://t.co/7RiIGfzv92
@ClimateEngOrg
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These reports and the documentation have become a labor of love! 📄 We're hopeful that they will streamline advanced and insightful #remotesensing and #climate data to support a range of decision cases — especially by representing spatial variability🗺️ and trends📈 #geospatial
As part of our work with @BLMNational, our team developed an #EarthObservations monitoring system for all BLM land units in CONUS. 🛰️ To aid users, we just published a tutorial video on using the Site Characterization reports. 📄 https://t.co/NW8kfNN1t6
#RemoteSensing #Climate
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As part of our work with @BLMNational, our team developed an #EarthObservations monitoring system for all BLM land units in CONUS. 🛰️ To aid users, we just published a tutorial video on using the Site Characterization reports. 📄 https://t.co/NW8kfNN1t6
#RemoteSensing #Climate
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Today, we're introducing a new series called the "Climate Engine Backpack" where we "unpack" all the "equipment" you have available for your next data "adventure!" Check out "Extracting satellite data for areas of interest using the Climate Engine app!" https://t.co/xHV6M8KNek
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Check out how @ClimateEngOrg can help you make new discoveries along your data journey with our first installment in the "Climate Engine Backpack" video series! #remotesensing #climate #datascience #earthobservations #geospatial
Today, we're introducing a new series called the "Climate Engine Backpack" where we "unpack" all the "equipment" you have available for your next data "adventure!" Check out "Extracting satellite data for areas of interest using the Climate Engine app!" https://t.co/xHV6M8KNek
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Today, we're introducing a new series called the "Climate Engine Backpack" where we "unpack" all the "equipment" you have available for your next data "adventure!" Check out "Extracting satellite data for areas of interest using the Climate Engine app!" https://t.co/xHV6M8KNek
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Registration is open for the next cohort of the End-to-End Google #EarthEngine course. It's a 3-week hands-on intensive program that covers the full range of topics in #GEE. Check out the schedule, course content, and registration link at
spatialthoughts.com
The cohort is now full. Please sign-up on the waitlist to get notified when the next cohort is scheduled. Google Earth Engine is a cloud-based platform that enables large-scale processing of satell…
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Really exciting to see @geopandas 1.0 released! Among a bunch of new features I'm most excited about native GeoArrow interoperability! Remember to pass use_arrow=True in https://t.co/fucQglVvXd_file for best performance! https://t.co/vYro35gMQ2
github.com
Notes on dependencies: GeoPandas 1.0 drops support for shapely<2 and PyGEOS. The only geometry engine that is currently supported is shapely>= 2. As a consequence, spatial indexing based on...
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(1/2) This is really exciting! AI-enabled code completions are now available in #Colab free-of-charge tier! Autocomplete saves a bunch of time with #EarthEngine and #geemap boilerplate!
We've expanded the availability of ✨GenAI✨ in Colab (in eligible countries): - AI-enabled code completions are now available for users in our free-of-charge tier! - Workspace accounts now have access to all GenAI features! Enjoy Gemini in Colab! 🦾🦾🦾
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Join us now for @samapriyaroy's talk sharing a behind-the-scenes look at the #EarthEngine Community Catalog! https://t.co/kPLImN18Tb
#eochat #gischat #datacommons #EarthEngineUserMeetup
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A huge milestone reached. Now there's truly no reason to not start to use it for everything. I remain a huge fan. And the spatial support continues to get stronger - in a few years I think this is going to be many people's go to tool for spatial analysis.
We are proud to release the first major version of DuckDB, v1.0.0, codenamed "Snow Duck". This version is a culmination of almost six years of research and development. Today we are shipping an innovative database system with a backwards-compatible storage format. Check out our
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Geo for Good Summit is on the move in 2024! Join us in São Paulo (Sept 9-12) or Dublin (Sept 23-26) to leverage #EarthEngine to advance science and solutions for planetary sustainability and human resilience. Learn more at https://t.co/BsT1CoayHY
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See our very own @myscientistlife present on "Climate Engine: Tools for Analyzing Climate and Remote Sensing Data" for the #EarthEngine User Meetup 🛰️📈 https://t.co/7BMZRaWbsV Great job, Kristen! 🙌 Thanks for organizing, @SabrinaSzeto! 👏 #Climate #RemoteSensing
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Use VegDRI in Climate Engine to: ✅Map current conditions of vegetative drought ✅Assess multi-year trends ✅Pull timeseries data for areas of interest ✅Analyze VegDRI alongside dozens of climate and satellite datasets
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🚨New dataset in Climate Engine🚨 The Vegetation Drought Response Index (VegDRI) is produced by @USGS & @DroughtCenter and depicts drought stress on vegetation within the conterminous US using #remotesensing and #climate data 🛰️ Learn about VegDRI here: https://t.co/6BYjaSijvY
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I'll be talking about the new VirtualiZarr package tomorrow! If you've ever used kerchunk or converted a netCDF/grib file to @zarr_dev format you should come! https://t.co/OPhlE39KCN
github.com
Cloud-Optimize your Scientific Data as Virtual Zarr stores, using xarray syntax. - TomNicholas/VirtualiZarr
Please join us on Wed May 15, 12pm ET!
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