🌊 S28: Follow Rivers 🌊
We invite you to a special session at the #CAA2025 conference!
S28: Follow Rivers: the application of advanced remote sensing, machine learning and modelling in the studies of water management of past societies
#RemoteSensing #MachineLearning #WaterManagement #CAA2025 #Archaeology #Technology
#Archeologia #technologia
@universiteitleiden
#UnderTheSands @EUCommission
#fundedbyEU
My paper from my @mscactions #UnderTheSands project has been recently described by @newscientist
Cold war spy satellites and AI detect ancient underground aqueducts
Original paper is here:
Deep learning-based detection of qanat underground water distribution systems using HEXAGON spy satellite imagery
https://www.sciencedirect.com/science/article/pii/S0305440324001213
@giap_icac
@CAA_int
#deeplearning #HEXAGON #CORONA #qanat #karez #irrigation #LandscapeArchaeology
@usgs_bot
A new paper from my @mscactions #UnderTheSands project has been recently published
Application of Multi-Temporal and Multisource Satellite Imagery in the Study of Irrigated Landscapes in Arid Climates
https://www.mdpi.com/2072-4292/16/11/1997
@giap_icac
@CAA_int
#remotesensing #GoogleEarthEngine #Sentinel1 #sentinel2 #Landsat5 #irrigation #LandscapeArchaeology
#tandemx @dlr @mdpiopenaccess
@hector_orengo
The study of ancient irrigation is crucial in the archaeological research of arid regions. It covers a wide range of topics, with the Near East being the focus for decades. However, political instability and limited data have posed challenges to these studies. The primary objective is to establish a standardised method applicable to different arid environments using the Google Earth Engine platform, considering local relief of terrain and seasonal differences in vegetation. This study integrates multispectral data from LANDSAT 5, Sentinel-2, SAR imagery from Sentinel 1, and TanDEM-X (12 m and 30 m) DSMs. Using these datasets, calculations of selected vegetation indices such as the SMTVI and NDVSI, spectral decomposition methods such as TCT and PCA, and topography-based methods such as the MSRM contribute to a comprehensive understanding of landscape irrigation. This paper investigates the influence of modern environmental conditions on the visibility of features like levees and palaeo-channels by testing different methods and parameters. This study aims to identify the most effective approach for each case study and explore the possibility of applying a consistent method across all areas. Optimal results are achieved by combining several methods, adjusting seasonal parameters, and conducting a comparative analysis of visible features.
Hi everyone, thank you @joeroe for creating this.
It is my #introduction. I am trained as pottery specialist of the #ironage in #centralasia and #ComputationalArchaeology.
Currently I am #MSCA fellow at #ICAC doing #UnderTheSands project - the studies of #irrigation with #RS #ML and #DL
My other interests are
#GIS #LandscapeArchaeology #irrigation #neareasternarchaeology #mobilegis #Achaemenid #Iran #Oxuscivilisation #bmac #yazculture
CAAPoland
nbulawka