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Calibrating Multispectral Without Reflectance Panel
By hbrillon,
Is there a way to calibrate multispectral imagery without using a reflectance panel? I have two sets of data that need to be calibrated but they were flown without using a reflectance panel. The sensor is a Micasense RedEgde-MX. Both sets are taken in the same area.
Post-Doctoral Research Fellowship in Advanced Earth Observation (EO) for Earth Science

By Lurker,
Are you a post-doctoral researcher looking for an exciting opportunity in advanced Earth Observation (EO) for Earth Science? The ESA is offering a two-year research fellowship in the Directorate of Earth Observation Programmes. The fellowship will cover a wide range of innovative topics from the development and validation of novel methods, algorithms and EO products to innovative Earth system and climate research. The successful candidate will be responsible for undertaking advanced research add
How can i train a deep learning model to extract the building footprint
By Yasser,
I’am a Geomatics student and i want to train a deep learning model to extract the building footprint of a city, how can i do it ? It is easy to do for Geomatics or survey engineer ? Or this project need to IT background ?
thanks
QGIS shows different coordinates than Google Earth for the same location...
By hnaudr,
Hi friends !
In QGIS 3.32.2, I am using WGS 1984 EPSG 4326 for both Project and Basemap of Google Satellite Hybrid.
When I use Google Earth Pro on Desktop and locate my home, the coordinates are: 24.590580°, 73.719466°
BUT... when I navigate to my home location in Basemap of QGIS and capture coordinates with Lat-ong tool II get these values: 2825537.85691968, 8206411.02187792
Why is QGIS not showing coordinate values as Google Earth? How to convert latitude and longitude valu
IBM and NASA teamed up to build the GPT of Earth sciences

By Lurker,

The open-source model will serve as the basis for future forest, crop and climate change-monitoring AI.
NASA estimates that its Earth science missions will generate around a quarter million terabytes of data in 2024 alone. In order for climate scientists and the research community efficiently dig through these reams of raw satellite data, IBM, HuggingFace and NASA have collaborated to build an open-source geospatial foundation model that will serve as the basis for a new class
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