TY - JOUR
T1 - Satellite-based mapping of purple moor grass for wildfire fuel load assessment in heathlands
AU - Heremans, Stien
AU - Wepener, Victor
AU - Somers, Ben
N1 - IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, GREECE, JUL 07-12, 2024
PY - 2024/9/5
Y1 - 2024/9/5
N2 - Purple moor grass is a major invasive grass species in heathlands across Western Europe. Due to its ability to quickly accumulate flammable biomass, purple moor grass could influence the fire risk in these open landscapes. In this study, we have demonstrated the potential of monthly NDVI and NDMI time series derived from the freely available Sentinel-2 data catalogue for distinguishing between areas with low and areas with high coverage of purple moor grass. While the results within a single year are excellent, temporal transferability remains a challenge. This could potentially be overcome by the use of phenological and/or bitemporal input features.
AB - Purple moor grass is a major invasive grass species in heathlands across Western Europe. Due to its ability to quickly accumulate flammable biomass, purple moor grass could influence the fire risk in these open landscapes. In this study, we have demonstrated the potential of monthly NDVI and NDMI time series derived from the freely available Sentinel-2 data catalogue for distinguishing between areas with low and areas with high coverage of purple moor grass. While the results within a single year are excellent, temporal transferability remains a challenge. This could potentially be overcome by the use of phenological and/or bitemporal input features.
U2 - 10.1109/IGARSS53475.2024.10642634
DO - 10.1109/IGARSS53475.2024.10642634
M3 - A1: Web of Science-article
SP - 2572
EP - 2576
JO - IEEE International Symposium on Geoscience and Remote Sensing IGARSS
JF - IEEE International Symposium on Geoscience and Remote Sensing IGARSS
ER -