Essays about: "OBIA"

Showing result 1 - 5 of 6 essays containing the word OBIA.

  1. 1. Forest stand delineation through remote sensing and Object-Based Image Analysis

    University essay from Högskolan i Gävle/Samhällsbyggnad, GIS

    Author : José Antonio Ortega-García; [2018]
    Keywords : forest stand; stand delineation; LiDAR; ASTER; OBIA; GIS; remote sensing; segmentation; canopy heigh model; forestry; Navarra; OBIA; LiDAR; ASTER; segmentación; rodal; forestal; SIG; teledetección;

    Abstract : Forest stand delineation is an essential task of forest management planning which can be time consuming and exposed to subjectivity. The increasing availability of LiDAR data and multispectral imagery offers an opportunity to improve stand delineation by means of remotely-sensed data. READ MORE

  2. 2. Investigating the potential of object-based image analysis to identify tree avenues in high resolution aerial imagery and lidar data : a literature review

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Greta Moreen Wistrand; [2016]
    Keywords : eCognition; remote sensing; geographic object-based image analysis; GE OBIA; lidar; tree avenues; landscape elements; monitoring; physical geography and ecosystem science; Earth and Environmental Sciences;

    Abstract : The aim of this study was to investigate the potential of geographic object-based image analysis (GEOBIA) for the identification and monitoring of tree avenues with the help of aerial imagery and lidar data. For this, a literature review into three topics was conducted: First, scientific literature in form of journal articles, text books, and reports were used to highlight key features of GEOBIA. READ MORE

  3. 3. Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Linnea Jonsson; [2015]
    Keywords : support vector machine; maximum likelihood; SPOT-5; classification; geography; physical geography; RBF-kernel; OBIA; multiresolution segmentation; Earth and Environmental Sciences;

    Abstract : In the state of Acre, Brazil, there is ongoing land use change, where inhabitants of this part of the Amazonian rainforest practice shifting agriculture. Practicing this type of agriculture is, according to the SKY Rainforest Rescue organization, damaging to forest ecosystems. READ MORE

  4. 4. Urban classification by pixel and object-based approaches for very high resolution imagery

    University essay from Högskolan i Gävle/Samhällsbyggnad, GIS

    Author : Fadi Ali; [2015]
    Keywords : Ancillary data; land use land cover classification; supervised algorithms; GIS; Remote sensing; OBIA;

    Abstract : Recently, there is a tremendous amount of high resolution imagery that wasn’t available years ago, mainly because of the advancement of the technology in capturing such images. Most of the very high resolution (VHR) imagery comes in three bands only the red, green and blue (RGB), whereas, the importance of using such imagery in remote sensing studies has been only considered lately, despite that, there are no enough studies examining the usefulness of these imagery in urban applications. READ MORE

  5. 5. Object-Based Classification of Vegetation at Stordalen Mire near Abisko by using High-Resolution Aerial Imagery

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Marco Giljum; [2014]
    Keywords : Physical Geography and Ecosystem Analysis; Object-Based Image Analysis; OBIA; Vegetation Classification; Permafrost; Arctic Peatland; Remote Sensing; Aerial Photography; Environmental Monitoring; Landscape Analysis; Earth and Environmental Sciences;

    Abstract : The focus of this work is to investigate and apply the remote sensing method of object-based image analysis (OBIA) for vegetation classification of a permafrost underlain peatland in sub-arctic Sweden, by using aerial imagery of high resolution. Since the northern landscapes are an important source of naturally stored CH4 and CO2, their contribution to the global carbon cycle is a focus in research about climate change and the global methane exchange. READ MORE