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. 📄

youtube.com/watch?v=Zzpaiw…

#RemoteSensing #Climate
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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 🛰️📈

youtube.com/watch?v=dJofVh…

Great job, Kristen! 🙌

Thanks for organizing, @SabrinaSzeto! 👏

#Climate #RemoteSensing
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Replying to @ClimateEngOrg
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: support.climateengine.org/article/141-ve…
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Check out this quick demo of the new reporting system we've developed in partnership with @BLMNational!

✅Generate land unit scale maps of climate and remote sensing indicators
✅Dive deeper by viewing real-time reports
✅Export data and reports for use in decision cases
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Have you tried Cloud Score+ yet for removing clouds from Sentinel-2 imagery? ☁️

@googleearth finished backfilling the entire Sentinel-2 collection earlier this year and we've just implemented it in Climate Engine 🛰️

Learn more about Cloud Score+ here: medium.com/google-earth/a…
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The Climate Engine App mapping panel has a new look! In addition to raster visualization layers, we are introducing a new layer type - Feature Summaries. Feature Summaries provide spatial summaries and trends for select feature types. To learn more, check out our support site.
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Replying to @ClimateEngOrg
The new BLM Climate & Remote Sensing Data Reports portal is live at reports.climateengine.org and features two report types:

☀️ Drought - Updated every 5 days using multi-indicator drought blends
🌿 Site Characterization - Updated yearly using satellite-based vegetation indicators
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Today we're thrilled to announce a new data website co-produced with @BLMNational to provide near real-time drought and satellite-based vegetation data consistently across BLM land units in the Lower 48.

dri.edu/climate-engine…
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Did you know you can use the Climate Engine API to get #drought data from more than 20 gridded #climate datasets?

Check out our new #RStats tutorial on creating drought stacked barcharts using SPEI from gridMET Drought!

support.climateengine.org/article/42-api…

#DataScience #DataVisualization
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Phew, the end of the tour!

We just provided five fantastic workshops for @blmnv across the state. 🙌

It was a great opportunity to engage with staff on using advanced #drought & #remotesensing datasets to support resource management and #conservation decisions! 🛰️

#EarthEngine
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July was a record-setting month for heat across the planet and @WSJ used Climate Engine to highlight the extent of the heat 🥵

wsj.com/articles/july-…

Check out the figures showing heat anomalies from this year and trends since 2000.

#climate #geospatial #EarthEngine
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Climate Engine connects non-commercial users across various disciplines to an ever-growing list of over 70+ climate and remote sensing datasets💻

Check out our support site to learn more about the data available for analysis and visualization📈🗺️

support.climateengine.org/article/104-da…
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We've been busy lately—new datasets, variables, features, more!

Stay up on all the updates to the Climate Engine App and API on our brand new "What's New?" page, which begs the question, should we add our "What's New?" page to the "What's New?" page?! 😆

support.climateengine.org/article/116-wh…
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Replying to @ClimateEngOrg
With hydroclimate datasets—like CONUS404—we calculate additional drought and water balance variables on top of the inputs, such as SPI, EDDI, SPEI, and potential water deficit.

Learn more about CONUS404 and all the variables available at our Support site: support.climateengine.org/article/117-co…
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🚨 New dataset in Climate Engine 🚨

CONUS404 is a daily 4-km hydroclimate reanalysis dataset produced using Weather Research and Forecasting (WRF) simulations by @NCAR_Sciencewith @USGS_Water.

Check it out in the app now! 🧑‍💻

#Climate #Drought #Geospatial #GISchat #EOchat
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🚨 Normalized Burn Ratio (NBR) now in Climate Engine for #Landsat and #Sentinel2 🚨

Watch this 📹 of how to create NBR and dNBR maps in near real-time ⏱️ and extract timeseries to investigate fire history 📈 in just a few clicks🖱️

youtube.com/watch?v=lEdOiG…

#RemoteSensing #EOchat
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With the RAP fully integrated into Climate Engine, we made a short 📽️ to demonstrate how to:

🌾 Analyze cheatgrass cover
🌲 Assess tree cover change
🌱 Evaluate vegetation production anomalies
⏱️ Assessing vegetation production in real-time

youtu.be/2l3N3UIK8j8

Enjoy! 🍿
🚨 New dataset in Climate Engine 🚨

The Rangeland Analysis Platform 16-day Production dataset is now in the App and API courtesy of @USDA_ARS. 🛰️🌱

This one is a game changer — map and analyze vegetation production data in near real-time to inform fuels and grazing decisions.
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Replying to @ClimateEngOrg
Find more information about RCMAP on our support site: support.climateengine.org/article/114-rc…

Or on the MRLC website: mrlc.gov/data/type/rcma…

RCMAP has similar variables to RAP Vegetation Cover, and can be used together in a 'multiple lines of evidence' approach: support.climateengine.org/article/81-rap
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🚨 New dataset in Climate Engine 🚨

@USGS RCMAP provides #Landsat based fractional cover maps for eight #vegetation types covering the western US for each year from 1985-2021, which can be used to analyze vegetation trends like tree cover.

#RemoteSensing
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Replying to @ClimateEngOrg
Even in absolute terms, the western Plains have received much more precipitation during this period than the eastern Plains, which is remarkable.

Compare this year's precip (left) to the average from 1979-2022 (right)
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Since May 1st, it's been "a tale of two Midwests", with much of the eastern Plains experiencing its driest period of May 1 - June 26 since 1979, while the western Plains has experienced its wettest 🌧️⚖️🌞

#COwx #NEwx #MTwx #WYwx #WIwx #MIwx #ILwx #MNwx #MOwx #KSwx #wxtwitter
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Replying to @ClimateEngOrg
Find more information on our support site: support.climateengine.org/article/115-us…

Or access the data directly through the FEWS NET portal: earlywarning.usgs.gov/fews/search/Gl…
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🚨 New dataset in Climate Engine 🚨

Another day, another dataset 📊

We've added the new @USGS VIIRS Global Evapotranspiration (ETa) datasets, produced using SSEBop model

The datasets provide annual, monthly, and dekadal data for 2012-present in near real-time!

#RemoteSensing
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🚨 New dataset in Climate Engine 🚨

The Rangeland Analysis Platform 16-day Production dataset is now in the App and API courtesy of @USDA_ARS. 🛰️🌱

This one is a game changer — map and analyze vegetation production data in near real-time to inform fuels and grazing decisions.
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Replying to @ClimateEngOrg
The @openetdata monthly ensembles and individual models are available in Climate Engine.

Get more information about the dataset and see the endpoints for the public #EarthEngine assets on our Support site:

support.climateengine.org/article/78-ope…
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Replying to @ClimateEngOrg
.@openetdata is a collaboration @EnvDefenseFund, @googleearth, @NASA, @DRIScience, @USGS, and many more.

Learn more about the initiative at openetdata.org
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🚨New Dataset in Climate Engine🚨

.@openetdata provides critical data on agricultural water use, helping to inform water management for the western US 🌽🚿

And now you can use OpenET ensembles and individual models in Climate Engine!

climengine.page.link/2xmW

#RemoteSensing
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Replying to @ClimateEngOrg
Learn more about Monitoring Trends in Burn Severity (MTBS) at their website, mtbs.gov

#RemoteSensing #Wildfire
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Want to map and analyze fire severity 🔥, vegetation 🌱, and #climate 🌦️ for any fire in the US from 1984-2021?

Well, you're in luck!

All Monitoring Trends in Burn Severity fire perimeters and Thematic Burn Severity rasters are now in Climate Engine 📈

#RemoteSensing #Wildfire
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Climate Engine's graphing functionality enables users to investigate time series of climate and remote sensing data.📊

Check out our YouTube video 'Creating Graphs' to get started today!🖥️
youtube.com/watch?v=JUFpG2…
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Replying to @ClimateEngOrg
Satellite data is just one line of evidence for monitoring these complex systems, but a powerful one nonetheless! 🛰️

The Climate Engine capabilities covered in the video and article were published here: sciencedirect.com/science/articl…

#RemoteSensing #Riparian #Restoration
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Replying to @ClimateEngOrg
We also have an accompanying article on our support website that outlines the capabilities in a bit more detail 🤝

support.climateengine.org/article/27-rip…

#RemoteSensing #Riparian #Restoration
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#Riparian #restoration is increasingly a priority in the western US, but monitoring budgets are often limited — especially for small projects 🏞️

Check out the functionality in Climate Engine for monitoring vegetation outcomes using #RemoteSensing data 🛰️

youtube.com/watch?v=EIKDJH…
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Replying to @ClimateEngOrg
Or, if you're an #EarthEngine user, find the assets using:

List of assets: ee.data.listAssets('projects/climate-engine/cfsv2/forecast')

Use this pattern to read the assets: ee.ImageCollection('projects/climate-engine/cfsv2/forecast/erc')
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Replying to @ClimateEngOrg
The latest forecasts are available in the Climate Engine App (app.climateengine.org) and at ClimateToolbox.org.

For example, Energy Release Component (ERC) is forecast to be higher in the PNW and much of the eastern US in weeks 3-4 than we would expect this time of year.
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🚨 Publication Alert 🚨

As summer heats up, @watermapper and team assess skill of new downscaled subseasonal #wildfire danger forecasts using CFSv2 and gridMET for CONUS. 🗞️

Skill remains relatively high for energy release component (ERC) 4 weeks out.

rmets.onlinelibrary.wiley.com/doi/10.1002/as…
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Climate Engine enables users to make maps of climate and remote sensing data using a variety of calculations (e.g. values, anomalies, trends, etc).🗺️

Check out our YouTube video 'Making Maps' to get started using Climate Engine in your research today!📹
youtube.com/watch?v=jMZFWR…
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Interested in using the Climate Engine App but don't know where to start? 🤔

Check out our Support Site, which houses numerous articles on using #climate and #remotesensing datasets to make maps, time-series charts, run statistical analysis, and more! 🤝

support.climateengine.org
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Replying to @ClimateEngOrg
Stay tuned here as we add new datasets, new functionality, tutorial videos and articles, and timely data about ongoing events and trends in #drought, #wildfire, #climate, #weather that we can't get enough of!
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Replying to @ClimateEngOrg
As always, ClimateEngine.org will remain free to use for all non-commercial users, enabling users to leverage cloud computing to scale up their analysis. Meanwhile, @ClimateEngine continues to meet the growing needs of the private sector.
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Replying to @ClimateEngOrg
Today we're releasing an updated website (climateengine.org), enhanced user documentation through our new support site (support.climateengine.org), a YouTube channel for sharing tutorials and highlighting the work of partners, and Twitter.
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Hello World! We're ClimateEngine.org! Since 2016, the ClimateEngine.org 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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