Multi-source Remote Sensing of Insect Defoliation Events in Abisko from Point to Regional Scales Repo

This repository provides code and data supporting the paper "Multi‑source remote sensing of insect defoliation events in Abisko from point to regional scales." It includes scripts for processing, analyzing, and visualizing multi-scale remote sensing data (close-up, time-lapse, drone, and satellite) to detect and quantify insect defoliation events in the Abisko region. Processed data and results are available via the KU ERDA repository, and a web application for interactive exploration is provided.

Feng, S., Nyboe Laursen, S., Smart, A., Sørensen, K.S., Lund, M., Grillini, F., Rieksta, J., Jiao, Y., Rinnan, R. & Westergaard‑Nielsen, A., 2026. Multi‑source remote sensing of insect defoliation events in Abisko from point to regional scales. Agricultural and Forest Meteorology, 378, 111023. https://doi.org/10.1016/j.agrformet.2026.111023

Multi-source Remote Sensing of Insect Defoliation Events in Abisko from Point to Regional Scales

This repository provides code and data supporting the paper "Multi-source Remote Sensing of Insect Defoliation Events in Abisko from Point to Regional Scales." It includes scripts for processing, analyzing, and visualizing multi-scale remote sensing data (close-up, time-lapse, drone, and satellite) to detect and quantify insect defoliation events in the Abisko region. Processed data and results are available via the KU ERDA repository, and a web application for interactive exploration is provided.

Multi-source Remote Sensing of Insect Defoliation Events in Abisko from Point to Regional Scales

This repository provides code and data supporting the paper "Multi-source Remote Sensing of Insect Defoliation Events in Abisko from Point to Regional Scales." It includes scripts for processing, analyzing, and visualizing multi-scale remote sensing data (close-up, time-lapse, drone, and satellite) to detect and quantify insect defoliation events in the Abisko region. Processed data and results are available via the KU ERDA repository, and a web application for interactive exploration is provided.