Add to ORKGAccurate information of fuel properties of forests must be available in high spatial and spectral resolution to be able to understand the processes involved in initiation and propagation of forest fires. Imaging spectroscopy has been proven to be a quantitative data source that may provide spa-tially distributed information on biomass, canopy structure, and fuel moisture to assess fire risk an
Context Remote sensing methods, and in particular very high (metric) resolution optical imagery, are...
Understanding fire is essential to improving forest management strategies. More specifically, an acc...
Imaging spectroscopy of vegetation requires methods for scaling and generalizing optical signals tha...
Imaging spectrometer data were acquired over conifer stands to retrieve spatially distributed inform...
Both Imaging Spectrometry and LIDAR have been already investigated as independent data sources to de...
ABSTRACT Understanding fire is essential to improving forest management strategies. More specificall...
Quantification of field-scale fire behavior is necessary to improve the current scientific understan...
Remote sensing has been proven as a useful tool in characterizing the effects of fire on a landscape...
Climate change causes more extreme droughts and heat waves in Central Europe, affecting vegetative f...
A comprehensive canopy characterization of forests is derived from the combined remote sensing signa...
Land managers need cost-effective methods for mapping and characterizing forest fuels quickly and ac...
Abstract. In ecosystems with frequent surface fires, fire and fuel heterogeneity at relevant scales ...
The paper revises and clarifies definitions of the term scale and scaling conversions for imaging sp...
Remote sensing offers the potential to study forest ecosystems by providing spatially and temporally...
Due to climate change and historic land management practices, wildfires are becoming more prevalent,...
Context Remote sensing methods, and in particular very high (metric) resolution optical imagery, are...
Understanding fire is essential to improving forest management strategies. More specifically, an acc...
Imaging spectroscopy of vegetation requires methods for scaling and generalizing optical signals tha...
Imaging spectrometer data were acquired over conifer stands to retrieve spatially distributed inform...
Both Imaging Spectrometry and LIDAR have been already investigated as independent data sources to de...
ABSTRACT Understanding fire is essential to improving forest management strategies. More specificall...
Quantification of field-scale fire behavior is necessary to improve the current scientific understan...
Remote sensing has been proven as a useful tool in characterizing the effects of fire on a landscape...
Climate change causes more extreme droughts and heat waves in Central Europe, affecting vegetative f...
A comprehensive canopy characterization of forests is derived from the combined remote sensing signa...
Land managers need cost-effective methods for mapping and characterizing forest fuels quickly and ac...
Abstract. In ecosystems with frequent surface fires, fire and fuel heterogeneity at relevant scales ...
The paper revises and clarifies definitions of the term scale and scaling conversions for imaging sp...
Remote sensing offers the potential to study forest ecosystems by providing spatially and temporally...
Due to climate change and historic land management practices, wildfires are becoming more prevalent,...
Context Remote sensing methods, and in particular very high (metric) resolution optical imagery, are...
Understanding fire is essential to improving forest management strategies. More specifically, an acc...
Imaging spectroscopy of vegetation requires methods for scaling and generalizing optical signals tha...