Understanding the impact of temperature on CY 🌲#forests🌲 by analysing #SAR & LST time-series satellite🛰 data @DrMiltiadou @C_Theocharidis @FoECyprus @danezis
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Follow me here: https://t.co/bvQJlH2CSF
https://t.co/kbv4tY9zQT
Working with small circular regions again, but now as polygons from a shapefile (to be added to PlotToSat)! PlotToSat (paper under review) streamlines EO 🛰️ time-series extraction from multiple regions. Check out its first applications: https://t.co/nPshCDMUmt
#EO#NewPaper
📢 NEWS: The deadline for our Special Issue on LiDAR & Forests has been extended! 🌳 Interested in submitting? Reach out with a tentative title! 🌟 Discount vouchers available too. #LiDAR#Forestry#Research
Journal Link: https://t.co/5r85foosrt
@roraineto @henrikjpersson
#IGARSS24 Planetary session and Opening ceremony starting soon.
(Nice venue choice. 😁 I used to go to the theatre 🎭 here at Megaron, Athens Music Hall!)
The deadline for our Issue has been extended until the 15th of September, and we also have vouchers to share! If you are considering submitting your #paper, please get in contact with me to get a #voucher! :) @RemoteSens_MDPI
https://t.co/5r85foosrt
Exciting news! 🎉 I am joining @UniofExeter as a Lecturer in Computer Science in August! 😁 Can't wait to work with this amazing team.
Interested in #Postdoc or #PhD? PM to discuss:
-Marie Curie Postdoct https://t.co/NO7BTisyyN
-Commonwealth PhD https://t.co/jPMiwPQMCB
Call for submission to Our Special Issue "Lidar for Forest Parameters Retrieval"!
Deadline: 20 April 2024
There is already one high quality paper published that has already being cited.
https://t.co/5r85foosrt
Nice paper. With the brief of DL techniques, it highlights the importance of cross-validation in evaluating small datasets. Most RS papers use accuracy for validation, which I believe it is quite vague. Precision and recall, or F1-score are recommended.
https://t.co/OoRHdojErW
The first #paper of our Special Issue "Lidar for Forest Parameters Retrieval" of the Remote Sensing journal targets the state-of-the-art problem of working with #GEDI data at mountainous area. It worth a read! Looking forward your submission:
https://t.co/GQFesTkMdY
Been invited to be the Lead Guest Editor at @RemoteSens_MDPI. Guest Editors @roraineto & @henrikjpersson
🔹Harmonization of #LiDAR
🔹Open Source Tools
🔹Literature Reviews
🔹Fusion with #EO Data
🔹Benchmarking Datasets
🔹Comparison of #AI approaches
Link: https://t.co/5r85foosrt
This #paper gives an overview of the functionalities of @_DASOS_ and the algorithms implemented by @DrMiltiadou for interpreting full-waveform #LiDAR data.
Published during the implementation of the @FOREST_postdoc
https://t.co/AtWfl6tAsm
If anyone is looking for forest related data to work with, it worth having a look at this paper: "OpenForest: A data catalogue for machine learning in forest monitoring" https://t.co/KdZojCJbXf
If anyone is interested in starting with #MachineLearning, I highly recommend the Machine Learning Crash Course
with #TensorFlow APIs provided for #free by Google! 👇 https://t.co/AJZkIjl9Aw
If anyone is interested in time-series and phenology analysis, this is a great guide in R:
https://t.co/KTyRVi1Pu6
We used it for this paper (https://t.co/cSLdQcbDY3) to understnad the impact of land surface temperature on NDVI time-series.
This paper uses @_DASOS_ and showed that classifications results were better when metrics from DASOS were extracted than LidR, especially when combined with the spectra data. Read the paper for more info on what metrics were used 👇👇
Thank you! Getting positive feedback is very rewarding. If anyone else is interested in taking my free LaTeX course please use this link:
https://t.co/ddUmkb5DcV