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ESTIMATING DBH OF TREES EMPLOYING MULTIPLE LINEAR REGRESSION OF THE BEST LIDAR-DERIVED PARAMETER COMBINATION AUTOMATED IN PYTHON IN A NATURAL BROADLEAF FOREST IN THE PHILIPPINES
DBH Estimation ALS Multiple Linear Regression Python Broadleaf Forest Forestry
2016/11/30
Diameter-at-Breast-Height Estimation is a prerequisite in various allometric equations estimating important forestry indices like stem volume, basal area, biomass and carbon stock. LiDAR Technology ha...
ACCURACY ASSESSMENT OF CROWN DELINEATION METHODS FOR THE INDIVIDUAL TREES USING LIDAR DATA
Forest Canopy LiDAR Pit-free Stand-level
2016/11/30
Forest canopy density and height are used as variables in a number of environmental applications, including the estimation of biomass, forest extent and condition, and biodiversity. The airborne Light...
ESTIMATING WOOD VOLUME FOR PINUS BRUTIA TREES IN FOREST STANDS FROM QUICKBIRD-2 IMAGERY
Quickbird-2 Marker-controlled watershed segmentation Object-based classification Tree wood volume Individual tree crown delineation
2016/11/23
Knowledge of forest parameters, such as wood volume, is required for a sustainable forest management. Collecting such information in the field is laborious and even not feasible in inaccessible areas....
AUTOMATED LARGE SCALE PARAMETER EXTRACTION OF ROAD-SIDE TREES SAMPLED BY A LASER MOBILE MAPPING SYSTEM
big data laser mobile mapping tree parameters urban voxels
2015/9/21
In urbanized Western Europe trees are considered an important component of the built-up environment. This also means that there is an increasing demand for tree inventories. Laser mobile mapping syste...
SUPERVISED AND FOREST TYPE-SPECIFIC MULTI-SCALE SEGMENTATION FOR A ONE-LEVEL-REPRESENTATION OF SINGLE TREES
Segmentation LiDAR object-based laser scanning crown delineation region growing OLR region-specific segmentation
2015/8/19
In this paper a supervised approach for the object building / segmentation process utilizing a priori knowledge about the specific scale domain of the target features is proposed. One premise was that...
SEGMENTATION AND CROWN PARAMETER EXTRACTION OF INDIVIDUAL TREES IN AN AIRBORNE TOMOSAR POINT CLOUD
Synthetic Aperture Radar (SAR) Multi-Aspect TomoSAR Point Clouds,Trees 3D Reconstruction Forested Areas
2015/4/1
The analysis of individual trees is an important field of research in the forest remote sensing community. While the current state-of-theart mostly focuses on the exploitation of optical imagery and a...
AUTOMATIC EXTRACTION OF TREES IN URBAN AREAS FROM AERIAL IMAGERY
Automatic tree extraction tree model Hough transform hysteresis thresholding
2014/12/31
In this paper we propose an approach for the automatic extraction of leafless deciduous trees from high resolution, i.e.,ca. 4 cm ground resolution, aerial imagery taken in spring. In analogy to appro...
Estimation of Trees Outside Forests using IRS High Resolution data by Object Based Image Analysis
Segmentation Semi-automation Forestry Extraction IRS High Resolution
2014/12/16
Assessment of Trees outside forests (TOF) is widely being recognized as a pivotal theme, in sustainable natural resource management, due to their role in offering variety of goods, such as timber, fru...
MAPPING UNDERSTORY TREES USING AIRBORNE DISCRETE-RETURN LIDAR DATA
small-footprin transmission loss canopy gap silviculture forest inventory
2014/6/5
Understory trees in multi-layer stands are often ignored in forest inventories. Information about them would benefit silviculture,
wood procurement and biodiversity management. Cost-efficient invent...
AUTOMATIC OBJECT RECOGNITION AND CHANGE DETECTION OF URBAN TREES
remote sensing change detection updating segmentation 3D object oriented urban trees database
2014/6/12
Monitoring of tree objects is relevant in many current policy issues and relate to the quality of the public space, municipal urban green management, management fees for gree...