Aerial images and LIDAR Fusion Applied in Forest Boundary Detection
نویسندگان
چکیده
-Forest boundary delineation is one of the key issues of forest management for Swiss National Forest Inventory (NFI). The proposed approach in this paper focuses on the detection of forest boundaries with special emphasis on spatially contiguous and reproducible results by using both aerial images and LIDAR data. The used Green Vegetation Index (GVI) is helpful to find green vegetation areas while the curvature feature curvature features extracted from the canopy height model (CHM) is helpful for building removing, The combination of curvature features, GVI, JSEG segmentation result and the Gabor wavelet texture features leads to forest area detection and obtains proper forest boundaries. Preliminary results are encouraging, regarding an automatic process and delivers robust forest boundary detection. Key-Words: Aerial images, Image segmentation, LIDAR, Gabor wavelet, Forest Inventory, Texture features
منابع مشابه
Intergration of High Resolution Aerial Images and Airborne Lidar Data for Forest Delineation
Forest boundary is one of the important parameters in Swiss National Forest Inventory (NFI). It is mainly delineated by aerial photo interpretation according to the defined “Forest/Non-forest decision” rules at each sample plot. However, it is not suitable for local assessment of forest stands with such kind of coarse grid sampling design. This paper presents an approach intending to delineate ...
متن کاملFusion of LIDAR Data and High Resolution Images for Forest Canopy Modeling
Three-dimensional forest model is important to forest ecosystem management. Traditional ground investigation requires vast amount of manpower, resources, costs, and time. Hence, it is difficult to promptly obtain accurate information by using ground investigation. Nowadays, Light Detection And Ranging (LIDAR) technology provides high density 3-D point clouds. It can rapidly obtain 3-D informati...
متن کاملPerformance evaluation of classification trees for building detection from aerial images and lidar data: a comparison of classification trees models
This study assesses the performance of three classification trees (CT) models (Entropy, Gain Ratio and Gini) for building detection by the fusion of laser scanner data and multi-spectral aerial images. Data from four study areas with different sensors and scene characteristics were used to assess the performance of the models. The process of performance evaluation is based on four criteria: mod...
متن کاملLand use changes detection and spatial distribution using digital and satellite data, case study: Farim drainage basin, Northern of Iran
Land use change may influence many natural phenomena and ecological processes, including runoff, soil erosion, sedimentation and soil conditions. Decreasing of forest area in the North of Iran is one of the critical problems in recent years. The aims of this study are to detect land use changes between 1967 to 2002 using satellite images of Land Sat 7 ETM+ (2002), aerial photos and digital topo...
متن کاملCharacterizing the Height Structure and Composition of a Boreal Forest Using an Individual Tree Crown Approach Applied to Photogrammetric Point Clouds
Photogrammetric point clouds (PPC) obtained by stereomatching of aerial photographs now have a resolution sufficient to discern individual trees. We have produced such PPCs of a boreal forest and delineated individual tree crowns using a segmentation algorithm applied to the canopy height model derived from the PPC and a lidar terrain model. The crowns were characterized in terms of height and ...
متن کامل