<p>(a) Classification result of WorldView-1 image in the western side. Tree classification was shown in black. Non-tree classification was shown in grey. (b) Predicted tree locations in the training area, validation area, and the test area. Green indicates correctly predicted trees. Blue indicates areas where tree is predicted where in fact tree was not present; red indicates areas where no tree is predicted where in fact tree was present.</p
Funding Information: The authors would like to thank the Academy of Finland for support through the ...
The aim of our research was to examine whether simulated forest data can be utilized for training su...
This research provides a comprehensive accuracy assessment of five methods for classifying western j...
<p>Classification accuracy of tree locations of IKONOS and WorldView-1 images.</p
<p>Shown are the numbers of pixels that were observed and predicted in the two classes of tree and n...
Large area tree maps, important for environmental monitoring and natural resource management, are of...
(a) Positions of trees observed using the total station. (b) Positions of trees obtained using ZEB-R...
<p>The map shows model-predicted probability of tree occurrence in non-forest vegetation (the ‘other...
<p>Below each image, the prefixes “r-” and “e-” before the code of tree species denote training and ...
Street trees in urban planning have a long history as providers of an amicable environment for urban...
International audienceSemi-arid parkland agrosystems are strongly sensitive to climate change and an...
In recent years, oak decline phenomenon has caused severe damages in Zagros forests. To deal with an...
This research was carried out for predicting probability of forest type's presence using topographic...
ABSTRACT. In classification and regression tree (CART) analysis, the observations are successively p...
Binned differences between predicted versus observed numbers of golden eagle locations in 30x30-km g...
Funding Information: The authors would like to thank the Academy of Finland for support through the ...
The aim of our research was to examine whether simulated forest data can be utilized for training su...
This research provides a comprehensive accuracy assessment of five methods for classifying western j...
<p>Classification accuracy of tree locations of IKONOS and WorldView-1 images.</p
<p>Shown are the numbers of pixels that were observed and predicted in the two classes of tree and n...
Large area tree maps, important for environmental monitoring and natural resource management, are of...
(a) Positions of trees observed using the total station. (b) Positions of trees obtained using ZEB-R...
<p>The map shows model-predicted probability of tree occurrence in non-forest vegetation (the ‘other...
<p>Below each image, the prefixes “r-” and “e-” before the code of tree species denote training and ...
Street trees in urban planning have a long history as providers of an amicable environment for urban...
International audienceSemi-arid parkland agrosystems are strongly sensitive to climate change and an...
In recent years, oak decline phenomenon has caused severe damages in Zagros forests. To deal with an...
This research was carried out for predicting probability of forest type's presence using topographic...
ABSTRACT. In classification and regression tree (CART) analysis, the observations are successively p...
Binned differences between predicted versus observed numbers of golden eagle locations in 30x30-km g...
Funding Information: The authors would like to thank the Academy of Finland for support through the ...
The aim of our research was to examine whether simulated forest data can be utilized for training su...
This research provides a comprehensive accuracy assessment of five methods for classifying western j...