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Large scale vector databases are valued tools for forest management. It is therefore important to keep these databases up to date and various change detection methods have been designed in this aim. ...
This paper describes a contextual classification approach to classify complex forest change classes. Multi temporal forest change classifications are performed comparing the 1989 baseline for the Kyot...
An object-based approach for forest disaster change detection using High Resolution (HR) satellite images is proposed. An automatic feature selection process is used to optimize image segmentation via...
Airborne LiDAR data has become an important tool for both the scientific and industry based investigation of forest structure. The uses of discrete return observations have now reached a maturity leve...
REGION BASED FOREST CHANGE DETECTION FROM CARTOSAT-1 STEREO IMAGERY     Change detection  Forest  DSM  GLCM       font style='font-size:12px;'> 2014/6/5
Tree height is a fundamental parameter for describing the forest situation and changes. The latest development of automatic Digital Surface Model (DSM) generation techniques allows new approaches of...
Forest Change Detection by Satellite Remote Sensing in Eastern Finland。

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