Essays about: "Remotely Sensed Data"

Showing result 16 - 20 of 49 essays containing the words Remotely Sensed Data.

  1. 16. Evaluating the need of cleaning using 3D point clouds derived from high resolution images collected with a drone

    University essay from SLU/Dept. of Forest Resource Management

    Author : Lisa Wennerlund; [2018]
    Keywords : photogrammetry; aerial images; cleaning; interpretation; drone;

    Abstract : Management of young forest stands is important for the future economical outcome. Cleaning is a way to control the competition between plants and a total of 1 443 000 ha are in need of cleaning in Sweden. The cleaning is usually performed when the trees are 2 – 6 m high and the most common is to remove deciduous trees to favor coniferous species. READ MORE

  3. 17. 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

  4. 18. Satellite derived data to support flood modelling : An application to the Po River

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Victor Alejandro Ortiz Peña; Milos Dinic; [2018]
    Keywords : Hydraulic Modelling; Flood Modelling; HEC-RAS; Mannings Coefficient; DEM; LiDAR; SRTM; Virtual Stations;

    Abstract : Satellite derived data has become an essential input in hydraulic modelling. Digital ElevationModels (DEMs) derived from different sources through remote sensing techniques have become a powerful tool for poorly gauged regions. READ MORE

  5. 19. Feature Extraction and FeatureSelection for Object-based LandCover Classification : Optimisation of Support Vector Machines in aCloud Computing Environment

    University essay from KTH/Geoinformatik

    Author : Oliver Stromann; [2018]
    Keywords : Feature Extraction; Feature Selection; Dimensionality Reduction; Supervised Object-Based Land Cover Classification; Google Earth Engine;

    Abstract : Mapping the Earth’s surface and its rapid changes with remotely sensed data is a crucial tool to un-derstand the impact of an increasingly urban world population on the environment. However, the impressive amount of freely available Copernicus data is only marginally exploited in common clas-sifications. READ MORE

  6. 20. Monitoring trends of greenness and LULC (land use/land cover) change in Addis Ababa and its surrounding using MODIS time-series and LANDSAT Data

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Tesfaye Gebeyehu Admasu; [2017]
    Keywords : Time-series; MODIS; Addis Ababa; Physical Geography and Ecosystem Science; NDVI; Greenness; LULC; GEM; Earth and Environmental Sciences;

    Abstract : NDVI(Normalized Difference Vegetation Index) was introduced in 1974. Despite its limitations, it has been under use for monitoring bio-physical and cultural landscapes from satellite. READ MORE