Hooman Latifi
banner
hoomanlatifi.bsky.social
Hooman Latifi
@hoomanlatifi.bsky.social
Associate Professor of Ecological Remote Sensing at the K. N. Toosi University of Technology. The Commissioning Editor for Methods in Ecology and Evolution (British Ecological Society/Wiley). A traveler, hobby drummer and cook. HE/HIS
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...
Geometry-based point cloud fusion of dual-layer UAV photogrammetry and a modified unsupervised generative adversarial network for 3D tree reconstruction in semi-arid forests
We present the first application of geometry-based relationship constraints for point-cloud registration and unsupervised 3D reconstruction of tree st…
www.sciencedirect.com
October 1, 2025 at 6:30 AM
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...
Four decades of spatio-temporal trends in Miankaleh Wetland´s water body and vegetation as revealed by remote sensing time series
Coastal wetlands offer essential ecosystem services, but are increasingly threatened by anthropogenic activities and climate change. These disrupt reg…
www.sciencedirect.com
August 11, 2025 at 9:09 PM
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
Field Diaries: Tracking Agricultural Impact on Iran’s Wetlands with Remote Sensing
In our ‘Field Diaries’ series, The Applied Ecologist is sharing stories from a range of different fieldwork experiences. In this post, Mohammad Javad Soltani shares their story visiting…
appliedecologistsblog.com
May 3, 2025 at 6:05 AM
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...
A DEM differencing method for detecting geomorphic changes on topographically complex areas based on UAV remote sensing techniques
High-resolution topographic data acquired by unmanned aerial vehicles (UAV) have facilitated the use of digital elevation model (DEM) of difference (DoD) methods for studying geomorphic processes in c...
ieeexplore.ieee.org
March 12, 2025 at 10:05 AM
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
Introducing a computationally light approach to estimate forest height and fractional canopy cover from Sentinel-2 data
Accurate and timely monitoring of forest attributes such as canopy height and cover is crucial in the face of global climate change and its impact on …
www.sciencedirect.com
March 8, 2025 at 9:33 AM
#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...
Unlocking drought in pistachio orchards: monitoring and forecasting using landsat time series and machine learning techniques - Horticulture, Environment, and Biotechnology
Agricultural drought leads to reduced water resources, vegetation changes, and, in turn, to durable impacts on agricultural productivity. Rafsanjan, a major hub for pistachio production in Iran, has f...
link.springer.com
February 18, 2025 at 7:08 AM
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
February 2, 2025 at 11:35 AM
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...
Improving the Accuracy of Forest Structure Analysis by Consumer-Grade UAV Photogrammetry Through an Innovative Approach to Mitigate Lens Distortion Effects
The generation of aerial and unmanned aerial vehicle (UAV)-based 3D point clouds in forests and their subsequent structural analysis, including tree delineation and modeling, pose multiple technical c...
www.mdpi.com
January 25, 2025 at 5:00 AM
Reposted by Hooman Latifi
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...
January 21, 2025 at 3:23 PM
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...
Mapping catchment-scale soil erosion and deposition using an improved DoD method based on multi-temporal UAV-borne laser scanning
DEM of difference (DoD) produced by UAV-borne laser scanning (ULS) data has been one of the important methods for monitoring catchment-scale landscape change processes, while its accuracy has been lim...
ieeexplore.ieee.org
January 21, 2025 at 7:20 AM
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.
deadtrees.earth
An open database for accessing, contributing and visualizing remote sensing-based tree mortality data.
Deadtrees.earth
January 19, 2025 at 7:06 AM
Reposted by Hooman Latifi
Introduction to deep learning methods for multi‐species predictions

https://buff.ly/41bVxR9

January 8, 2025 at 10:27 AM
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...
IranVeg – the Vegetation Database of Iran: current status and the way forward
Iran, situated in Southwest Asia, showcases a diverse landscape, including three phytogeographical regions and two global biodiversity hotspots. This diversity is attributed to its intricate geology, ...
vcs.pensoft.net
January 8, 2025 at 8:06 AM
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...
Spatial Characterization of Woody Species Diversity in Tropical Savannas Using GEDI and Optical Data
Developing the capacity to monitor species diversity worldwide is of great importance in halting biodiversity loss. To this end, remote sensing plays a unique role. In this study, we evaluate the pote...
www.mdpi.com
January 7, 2025 at 12:06 PM