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Items tagged with: remotesensing


We just released data on crown maps for 100 million trees in the National Ecological Observatory Network (NEON) with information on location, species identify, size, and alive/dead status.

We created this dataset by combining deep learning, remote sensing, and extensive field data to build models that can detect and classify individual trees. Models are almost 80% accurate and can be improved with additional field data collection.

https://jabberwocky.weecology.org/2023/11/13/data-on-100-million-individual-trees-in-the-national-ecological-observatory-network/

#ecology #RemoteSensing #DataScience


Isn't quality control crucial?
So make sure your data is correct.
With the future data validation environment DAVALIEN, you can ensure that the data you produce is correct and remains correct.

https://www.eomasters.org/davalien

#eo #remotesensing #earthobservation


Open #GIS #TextBooks:
"Fundamentals of #RemoteSensing"
Part 1: History & Practice https://zenodo.org/records/3265399
and
Part 2: Practice Book using #QGIS https://zenodo.org/records/6539257

#OSGeo #OpenSource #openbooks #GISChat


free #gee book
Cloud-Based Remote Sensing with Google Earth Engine
https://link.springer.com/book/10.1007/978-3-031-26588-4
#remotesensing #gis


Road to the Semi-Automatic Classification Plugin v.8 for #QGIS
-updated tool for downloading #NASA Harmonized #Landsat and #Sentinel-2 images, as well as #Copernicus Sentinel-2 images.
-unified interface for preprocessing #remotesensing images
-updated classification tool including #machinelearning algorithms: Multi-Layer Perceptron, Support Vector Machine, and Random Forest through #scikitlearn and #PyTorch

https://fromgistors.blogspot.com/2023/09/road-to-semi-automatic-classification-images-classification.html


Smoke from the Canadian forest fires traveling eastward towards Greenland and Iceland as seen by the AIRS instrument onboard the #Aqua #NASA satellite. These images show carbon monoxide at the 500 hPa level. Units are part per billion by volume.

People in #gischat #EarthObservation and #RemoteSensing what are the best satellite products to follow smoke likes this besides the above. Aerosol depth perhaps?

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