Improving forest cover assessment using LiDAR
Improving the Efficiency of Forest Cover Forecasting using ANFIS
... Table I. Coordinates of 3 areas The dataset is collected for the years starting from 2005 to 2018, and for the months of January, February, March, October, November and December. This selection is done based on the fact ...
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MODELS OF FOREST INVENTORY FOR ISTANBUL FOREST USING AIRBORNE LiDAR AND SPACEBORNE IMAGERY
... 67 was 20 m. The image process windows should be set as 9x9 or 11x11. In this case, the image process windows can cover all the plot, and the better result can be obtained. GLCM has 8 options: mean, variance, ...
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Regional carbon predictions in a temperate forest using satellite lidar
... waveform lidar and other edaphic, land cover, and climate layers to estimate fine-scale heterogeneity in forest structure and composition at the regional ...initialization using ...
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Lidar Remote Sensing Of Forest Canopy Structure: An Assessment Of The Accuracy Of Lidar And Its Relationship To Higher Trophic Levels
... three-dimensional forest horizontal and vertical structure that is important to forest productivity and wildlife ...Indeed, LiDAR data have been shown to provide accurate estimates to forest ...
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MOVING FORWARD WITH LIDAR REMOTE SENSING: AIRBORNE ASSESSMENT OF FOREST CANOPY PARAMETERS
... evaluate forest canopy parameters is vital in order to properly address both forest management and ecological ...canopy cover and Leaf Area Index ...Scanning LIDAR can be used to assess both ...
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Using Single-Photon Lidar and Multispectral Imagery for Enhancing Forest Inventories
... 9 Individual tree crown segmentation also has the potential to supply detailed information for stand-level management decisions. Stem counts and metrics of inter-tree competition for each tree can be computed, something ...
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A Three Decades Assessment of Forest Cover Changes in The Mountainous Tropical Forest of Timor Island, Indonesia
... land cover classes corresponded to the forest area, whereas training data of land cover classes corresponded to the non- forest area were obtained from a combination of ground survey and ...
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Estimation of the volume of coarse woody debris in eucalyptus forest using LiDAR derived forest structure variables
... in forest ecosystems. LiDAR (light detection and ranging) technology has demonstrated utility in capturing forest structure ...CWD using LiDAR derived forest structure ...
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Utilising airborne scanning laser (LiDAR) to improve the assessment of Australian native forest structure
... National Forest Inventory currently utilises data with categorical classifications, and compiled for national reporting from the States and Territories using a ‘snap-shot’ approach every five ...of ...
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Land cover segmentation of airborne LiDAR data using stochastic atrous network
... architecture using atrous kernels on a ResNet-FCN architecture using the stochastic depth ...of improving the prediction ...and LiDAR-derived ...
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Monitoring geometric properties of an existing forest road using airborne Lidar data
... the forest applications such as forest road designing and ...airborne Lidar sensors have two important advantages in detecting for- est ...closed forest canopy cover to pro- duce a ...
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Quantifying Forest Aboveground Carbon Pools And Fluxes Using Multi-Temporal Lidar
... Forests cover approximately one third of the Earth’s land ...Global Forest Resources Assessment (FRA, 2005) estimates that the world's forests store 283 Gigatonnes (Gt) of carbon in their biomass ...
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Measuring Forest Canopy Height Using a Combination of LIDAR and Aerial Photography Data
... dense forest environments where the bare earth level remains ...footprint lidar provides canopy altitude and heights, the latter being the altitude difference between the top of canopy altitude and the bare ...
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Land cover and forest segmentation using deep neural networks
... Land cover segmentation also referred to as image classification for land-cover map- ping purposes is one of the most common applications of remote sensing, attracting significant attention in recent ...
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Accuracy assessment of LiDAR elevation data using survey marks
... of LiDAR data is also affected by the types of ground cover because the vegetation can limit ground ...land cover categories representative of the area for which the vertical accuracy of LiDAR ...
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Forest cover change and carbon stock assessment in Swat valley using remote sensing and geographical information systems
... land cover parameters i.e. forest cover, snow, agriculture, pastures, water bodies, urban and barren land, as indicators of environmental change over the past two decades ...snow cover, ...
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Developing an Automated Land Cover Classifier Using LiDAR and High Resolution Aerial Imagery
... land cover classes: grassland, roads and pavement, bare ground, struc- tures, trees, artificial surfaces, and ...of forest and tree coverage throughout the pilot study ...calculated using the ...
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Fusion of Hyperspectral and LiDAR Data Using Discriminant Correlation Analysis for Land Cover Classification
... and LiDAR data using ...scheme using random forest and support vector machine ...land cover datasets and show that our approach outperforms the alternatives by a large ...
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Integrated Assessment of Forest Cover Change and Above Ground Carbon Stock in Pugu and Kazimzumbwi Forest Reserves, Tanzania
... the forest cover change, quantify and map tree above-ground carbon stock using Re- mote sensing and GIS techniques together with forest ...of cover changes. Supervised image ...
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Quantifying the urban forest environment using dense discrete return LiDAR and aerial color imagery for segmentation and object-level biomass assessment
... urban forest is becoming increasingly important in the contexts of urban green space and recreation, carbon sequestration and emission offsets, and socio-economic ...an assessment of carbon stores often ...
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