Add to ORKGThis study is part of the on-going NewForest project, whose objective is to develop remote sensing data analysis methods for producing species-wise forest variable estimates with accuracy that is adequate for operational forest inventory. Species-wise forest estimates relies on individual treetop locations detection from the remote sensing imagery. As ground data used for validation has been acquired at a different date as the satellite and aerial imagery, one of the first step was to identify clearcuts and thinning areas that occurred within the temporal span of all gathered data. This was done using image-based change detection
Forest canopy changes can be detected by a variety of methods of analysis of multitemporal satellite...
An automated approach to change detection analysis was developed for use in multi-temporal image com...
The aim of the study was to develop a tool for the estimation of forest variables using high-resolut...
This study is part of the on-going NewForest project, whose objective is to develop remote sensing d...
Forest ecosystems have recently received worldwide attention due to their biological diversity and t...
Sustainable forest management practices allow for a range of harvest prescriptions, including clearc...
This study evaluated the use of 40 cm spatial resolution aerial images for individual tree crown del...
The world's forest ecosystems are in a state of permanent flux at a variety of spatial and temp...
This study evaluated the use of 40 cm spatial resolution aerial images for individual tree crown del...
Forest monitoring requires more automated systems to analyse the large amount of remote sensing data...
Change detection based on satellite remote sensing relies on the comparison of multispectral reflect...
Forest covers about a third of terrestrial land surface, with tropical and subtropical zones being a...
Satellite data potentially provide a useful tool for estimating forest cover and monitoring changes....
In recent decades, remote sensing techniques and the associated hardware and software have made subs...
The purpose of the study was to evaluate tree species composition estimated using combinations of di...
Forest canopy changes can be detected by a variety of methods of analysis of multitemporal satellite...
An automated approach to change detection analysis was developed for use in multi-temporal image com...
The aim of the study was to develop a tool for the estimation of forest variables using high-resolut...
This study is part of the on-going NewForest project, whose objective is to develop remote sensing d...
Forest ecosystems have recently received worldwide attention due to their biological diversity and t...
Sustainable forest management practices allow for a range of harvest prescriptions, including clearc...
This study evaluated the use of 40 cm spatial resolution aerial images for individual tree crown del...
The world's forest ecosystems are in a state of permanent flux at a variety of spatial and temp...
This study evaluated the use of 40 cm spatial resolution aerial images for individual tree crown del...
Forest monitoring requires more automated systems to analyse the large amount of remote sensing data...
Change detection based on satellite remote sensing relies on the comparison of multispectral reflect...
Forest covers about a third of terrestrial land surface, with tropical and subtropical zones being a...
Satellite data potentially provide a useful tool for estimating forest cover and monitoring changes....
In recent decades, remote sensing techniques and the associated hardware and software have made subs...
The purpose of the study was to evaluate tree species composition estimated using combinations of di...
Forest canopy changes can be detected by a variety of methods of analysis of multitemporal satellite...
An automated approach to change detection analysis was developed for use in multi-temporal image com...
The aim of the study was to develop a tool for the estimation of forest variables using high-resolut...