Interested in how the various cloud and cloud shadow detection algorithms work for Sentinel-2 data? Check this Preprint submitted to Science of Remote Sensing, "Comparison of Cloud Detection Algorithms for Sentinel-2 Imagery" at doi.org/10.1016/j.srs.…

.UConn researchers are partnering with international geo-imaging software company CATALYST to democratize access to powerful remote sensing and geospatial data. today.uconn.edu/2021/02/new-ce… CATALYST.Earth Zhe Zhu 🌎🛰️ @UConnNRE

New opportunity in GERS Lab this fall! This is a fully-funded research assistant position at MS or Ph.D. level that will work on mapping understory invasive species based on satellite time series. A retweet is very much appreciated! gerslab.uconn.edu/wp-content/upl… #timeseries #understory

New SRS paper from Qiu et al (2021) Shi Qiu. The Landsat 7's orbit is drifting to an earlier acquisition time since 2017. Can Landsat 7 still preserve its science capability with a drifting orbit? We not only provided an answer but also a solution. doi.org/10.1016/j.srs.…

If you are still using Landsat 7 data collected after 2020, you may in trouble due to its orbit drift that was started in 2017. Check this new study from Science of Remote Sensing for details. A retweet is greatly appreciated. #Landsat #orbit doi.org/10.1016/j.srs.…

How is land change viewed through the lens of remote sensing? What are the differences among spectral change, disturbance, cover modification/conversion/change, surface change? A new multifaceted perspective for this. Please RT and comment on the preprint. essoar.org/doi/abs/10.100…

Remote sensing detects land change based on the spectral change cube, and this cube can be flattened and converted to land change information which is usually a multifaceted issue.

After much anticipation, USGS Landsat 9 products are now available! Download data via EarthExplorer, M2M, and LandsatLook. 🕫 Read the full tech release at ow.ly/vsFM50HRYkE Landsat is a joint mission of the USGS and NASA Landsat [🧵1/4]

Meet a Leaf...XING Li aguecohydrology.org/2/post/2022/03… via Weebly

The NE US coastal tidal wetlands are changing fast due to sea-level rise, natural hazards, and human activities. However, analyzing their change is difficult due to tidal fluctuation (very noisy time series!). DECODE is our first attempt. Please help RT. sciencedirect.com/science/articl…

We developed the first algorithm that uses daily nighttime light data from NASA Balck Marble Product @DrMiguelRoman for accurate continuous monitoring of global nighttime light change. Global products will be released by NASA soon. Please help RT. sciencedirect.com/science/articl…

📰The first review for synopsizing the detection and characterization of land change as a five-facet task in a systematic manner. Be careful of the multifaceted nature of land change, as it can be confusing. Please RT! #OpenAccess #Review #LandChange 1/n sciencedirect.com/science/articl…

The #GEE resource you have been waiting for! #GoogleEarthEngine Cardille et al. 2022. Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications. >100 authors (well done all!) >55 chapters, labs, >10,000 lines of code #OpenAccess: eefabook.org

A fully funded Master's or Ph.D. position is available at GERS Lab working on an exciting NASA-funded project using Landsat and ECOSTRESS time series for studying water-use and land-cover change. Please submit your CV, transcript, & research statement to [email protected] Please RT

With so many image compositing algorithms available, have you ever wondered which one works better? The short answer is that it depends on many factors. For different applications and compositing periods, different algorithm excels. Please RT! authors.elsevier.com/a/1gCap7qzSxcL…

📢 Qiu et al. Evaluation of #Landsat image compositing algorithms. Shi Qiu -10 pixel composting algorithms considered. Assessed with reference to temporal representation as well as spatial, spectral, and applications considerations. #LTSBAP #landcover sciencedirect.com/science/articl…

With a new algorithm for image compositing, as well as a framework for evaluating all other approaches, CAHNR researchers Zhe Zhu and Shi Qiu are improving accuracy of land change imagery. today.uconn.edu/2023/02/cleari… UConn Research Zhe Zhu 🌎🛰️ @UConnNRE

📰Can multispectral remote sensing data map vegetation species? Can they map understory? What about mapping understory species? The answer is yes and only possible with dense time series. Great work led by Xiucheng Yang and Shi Qiu. Please RT! authors.elsevier.com/c/1h0lf7qzS-Pg…

The GERS Laboratory is hiring a Postdoctoral Researcher to develop new methods for mapping global construction changes based on multi-sensor time series observations and artificial intelligence. Please send your CV to [email protected] if you are interested ASAP. Please RT!

DECODER - expanded on the DECODE algorithm for tracking mangrove recovery (where the last letter R comes from) is developed by Xiucheng Yang. Change is never a binary thing, and we gave four mangrove conditions: healthy, disturbed, recover, & decline. authors.elsevier.com/sd/article/S00…