Back on track. Exhausted in mind, wounded in heart, but still alive✌️🍀
Posts by Hooman Latifi
After we decide what should be in each section we'll need volunteers to write a section of the guide. If you'd like to write a section (we're hoping ECRs will do this) or offer to peer review the guide, please add your name to the form here: forms.gle/PDVbyBEpVb9t...
Thanks!
First step will be to review the existing guide. I've made a document here shorturl.at/LZlBH where you can make suggestions of changes, things that we might like to add to the guide etc. Any and all comments are very welcome :)
After last year's successful refresh of the BES Reproducible Code guide (www.britishecologicalsociety.org//wp-content/...), this year we're going to refresh the Data Management guide (www.britishecologicalsociety.org//wp-content/...). Exciting! See below for how to get involved...
The first application of geometry-based relationships for point-cloud registration and 3D reconstruction of tree structure in #semiarid #forest using UAV data, which offers potential for ecological applications in degraded ecosystems.
#photogrammetry #uav
www.sciencedirect.com/science/arti...
Don’t miss #rseec newly-published paper if you’re interested in #trend analysis of #timeseries earth observation data. It showcases one of the most thorough collections of #nonparametric trend methods applied for wetland assessment.
#EarthObservation #wetland
www.sciencedirect.com/science/arti...
Indeed, but zero is still better than below-zero😁
Check out the latest post by my lab member @mjavadsoltani.bsky.social on @jappliedecology.bsky.social blog. This as a must-read for how to circumvent challenges and find alternatives when combining #remotesensing and wetland data.
appliedecologistsblog.com/2025/05/02/f...
#EarthObservation #wetland
Recent results on the analysis of spatial pattern and magnitude of errors (both systematic and random) of #DEMs derived from #UAV LiDAR point clouds for a topographically complex catchment in Chinese Loess Plateau.
#photogrammetry #EarthObservation #uncertainty
ieeexplore.ieee.org/document/109...
In the context of #semiarid forests, our newly proposed #Sentinel-2 based vegetation index to track FCC and tree Height is computationally lightweight, tree density-independent and straightforward. More to read
www.sciencedirect.com/science/arti...
#conservation #forestecol #EarthObservation
#Horticulture is in serious jeopardy in #Iran, particularly over its #semi-arid and #arid Central Plateau. We used time series of #Landsat, #climate and field #piezometer data to monitor retrospective and #predict future #drought in #pistachio orchards. Link:
link.springer.com/article/10.1...
Test #PaRaVis for plant diversity monitoring. It is supposedly the most efficient tool for beta diversity analysis by Spectral Variation Hypothesis.
The tool/documentation: zenodo.org/records/1078...
The paper: www.sciencedirect.com/science/arti...
#conservation #forestecol #EarthObservation
How could we mitigate lens distortion effects, a critical source of #uncertainty when leveraging #3Dmodels extracted from non-metric #UAV camera for tree structure analysis? More on this in our newly published paper in #remotesensing:
www.mdpi.com/2072-4292/17...
Nested maps providing an overview of the study area of Sisangan Forest in Iran in Mazandaran province.
Tree defoliation mapping using spaceborne satellite data 🌳🛰️
Saba et al. examine spatio-temporal defoliation dynamics of endangered Box trees (Buxus hyrcana) in Hyrcanian Forests of northern Iran.
Read more about their workflow here👇
doi.org/10.1093/fore...
Further results from high resolution 3D analysis of soil erosion on #semi-arid ecosystems. The uncertainty derivation of #DEM of difference method was improved through an exhaustive error analysis based on multi-temporal #UAV #LiDAR data. More to be found here:
ieeexplore.ieee.org/document/108...
Feel free to contact @cmosig.bsky.social and join Deadtrees.earth and contribute #UAV data to the largest UAV archive on forests worldwide. The database has been established thanks to more than 150 individuals from more than 60 institutions with the aim to create an unprecedented data treasure.
Introduction to deep learning methods for multi‐species predictions
https://buff.ly/41bVxR9
Just came across this interesting article reporting an update on #iranveg database, the first national vegetation database in Iran. Access to the database is subject to a formal request to the database manager.
vcs.pensoft.net/article/1140...
Check out this new paper in Sensors. This presents the first study to estimate woody species diversity for the entire #Cerrado savanna using an innovative approach that integrates optical #Sentinel2 data and #GEDI added by the estimated uncertainties at spatial level.
www.mdpi.com/1424-8220/25...