Category: Remote Sensing

MSCA results are out! A new postdoctoral fellow and a secondment for GIAP

Great news for GIAP (ICAC) in the last Marie Skłodowska-Curie Actions (MSCA) call from the European Union! The computational team will expand with a new project that aims at reconstructing the Roman transport network, and we are glad that our colleagues in Institut des Sciences de l’Évolution – Montpellier (ISEM UMR 5554), were awarded an…
Read more

The computational team welcomes a new researcher for 6 months!

We welcome PhD candidate Alessia Brucato, from the University Bari Aldo Moro – Department of Ricerca e Innovazione Umanistica and the Instituto di Scienze del Patrimonio Culturale (ISPC) of the Consiglio Nazionale delle Richerche (CNR), who will be staying with us for 6 months to train on the application of the computational methods developed in GIAP…
Read more

AgriExp, a new workflow for the automated detection of heritage at risk by recent expansion of agricultural lands

New research led by GIAP members develops an algorithm for the rapid mapping and almost-real-time monitoring of threats and potential site damage by agricultural expansion and encroachment. A new research article published in Remote Sensing presents an integrated workflow that combines Big Earth Data and spatial analysis in Google Earth Engine to provide an efficient…
Read more

Big multi-temporal geospatial data and the large-scale analysis of South Asia’s past landscapes

Today in the afternoon, Hèctor A. Orengo (ICREA research professor) is giving a talk in the conference 3rd International Conference on Geology: Emerging Methods & Applications (GEM-2023). Title: ”Big multi-temporal geospatial data and the large-scale analysis of South Asia’s past landscapes”Session: Artificial Intelligence and Machine Learning in Earth Science AbstractThe last few years have seen an…
Read more

Training in algorithms for palaeo-river detection

We are glad to welcome Maria Suárez Moreno, who is visiting us for a week to train in the use of various algorithms for palaeo-river detection, developed by Hèctor A. Orengo (ICREA research professor at ICAC). Among these algorithms, there are the MSRM (Orengo and Petrie 2018), the SMTVI (Orengo and Petrie 2017) and other…
Read more

2 newcomers and an upgrade!

This month, we welcomed 2 new postdoctoral researchers, Drs. Laura Strolin and Faidon Moudopoulos, and we celebrate that Dr. Arnau Garcia-Molsosa started his Ramón y Cajal fellowship with GIAP, after finishing his Beatriu de Pinós-Marie Curie cofund project (also in GIAP, from 2020-2022). Dr. Arnau Garcia-Molsosa Dr. Garcia completed his PhD on the Archaeology of…
Read more

Hèctor A. Orengo appointed ICREA Research Professor

The first of December, Hector A. Orengo, previously a Ramón y Cajal researcher at ICAC, joined the centre as an ICREA Research Professor. Co-director of the Landscape Archaeology Research Group (GIAP) and Research Coordinator of ICAC (due to take up this role in January 2023), Prof. Orengo is the second ICREA Research Professor at ICAC,…
Read more

Vigilant, a project on the historic network of defensive fire beacons in Tenerife

GIAP (ICAC) Researcher Francesc C. Conesa is presenting today in Tenerife (Canary Islands). He will talk about his recent investigations into the historical network of fire beacons on the island of Tenerife. For centuries, the beacon signalling network was the island’s first line of defence against pirates, privateers or Crown enemies. The beacon network was…
Read more

GIAP expands the team on Remote Sensing and Archaeobotany!

This month, GIAP (ICAC) welcomed two new postdoctoral researchers to the team! We are very glad to present Patricia Vandorpe and Pangambam Sendash Singh, who will be working with us until 2024: Patricia Vandorpe Dr. Vandorpe completed her PhD in 2010 at the University of Basel (Switzerland), where she has since worked as a research…
Read more

Multitemporal Lidar: A New Workflow for the Detection of Subtle Topographic Features in Dense Forest Areas

ICAC researchers publish a new study in Land, showcasing the potential of multitemporal lidar-derived digital terrain models for the detection of subtle archaeological features under perennial dense forest.  Featured image: Figure 1. Lidar point-cloud.  Lidar-derived digital terrain models (DTMs) have, during the last years, become an essential tool in landscape archaeology (Berganzo-Besga et al. 2021)…
Read more