Sökning: "Land Use Land-Cover"

Visar resultat 1 - 5 av 54 avhandlingar innehållade orden Land Use Land-Cover.

1. 1. Inferring Land Use from Remote Sensing Imagery : A context-based approach

   Författare :Michael Meinild Nielsen; Bo Malmberg; Anders Wästfelt; Douglas A. Stow; Stockholms universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; land use; remote sensing; urban remote sensing; image analysis; segmentation; spatial context; land cover; land cover configuration; farming types; bark beetle; dead trees; forest inventory; kulturgeografi; Human Geography;

   Sammanfattning : This doctoral thesis investigates the potential of classification methods based on spatial context to infer specific forms of land use from remote sensing data. The problem is that some types of land use are characterized by a complex configuration of land covers that traditional per-pixel based methods have problems classifying due to spectral heterogeneity. LÄS MER

3. 2. Pollen-based quantitative reconstruction of land-cover change in Europe from 11,500 years ago until present - A dataset suitable for climate modelling

   Författare :Anna-Kari Trondman; Marie-José Gaillard; Chris Caseldine; Linnéuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; pollen data; REVEALS model; model testing; land vegetation; land-cover; Holocene; Europe;

   Sammanfattning : The major objective of this thesis was to produce descriptions of the land vegetation-cover in Europe for selected time windows of the Holocene (6000, 3000, 500, 200, and 50 calendar years before present (BP=1950)) that can be used in climate modelling. Land vegetation is part of the climate system; its changes influence climate through biogeophysical and biogeochemical processes. LÄS MER

4. 3. Urban Land-cover Mapping with High-resolution Spaceborne SAR Data

   Författare :Hongtao Hu; Yifang Ban; Johan Fransson; KTH; []
   Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; High-resolution; RADARSAT-1 SAR; RADARSAT-2 SAR; Urban Land Cover; Object-based Classification; Neural Network; Support Vector Machines.; Remote sensing; Fjärranalys;

   Sammanfattning : Urban areas around the world are changing constantly and therefore it is necessary to update urban land cover maps regularly. Remote sensing techniques have been used to monitor changes and update land-use/land-cover information in urban areas for decades. Optical imaging systems have received most of the attention in urban studies. LÄS MER

5. 4. Multitemporal Spaceborne Polarimetric SAR Data for Urban Land Cover Mapping

   Författare :Xin Niu; Yifang Ban; Paolo Gamba; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; RADARSAT-2; spaceborne; polarimetric SAR; urban land cover; classification; Information technology; Informationsteknik;

   Sammanfattning : Urban represents one of the most dynamic areas in the global change context. To support rational policies for sustainable urban development, remote sensing technologies such as Synthetic Aperture Radar (SAR) enjoy increasing popularity for collecting up-to-date and reliable information such as urban land cover/land-use. LÄS MER

7. 5. Multitemporal Spaceborne Polarimetric SAR Data for Urban Land Cover Mapping

   Författare :Xin Niu; Yifang Ban; Laurent Ferro-Famil; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; RADARSAT-2; Spaceborne; Polarimetric SAR; Urban Land cover; Object-based Rule-based Classification; Support Vector Machines; Contextual; Stochastic Expectation-Maximization; Markov Random Field.;

   Sammanfattning : Urban land cover mapping represents one of the most important remote sensing applications in the context of rapid global urbanization. In recent years, high resolution spaceborne Polarimetric Synthetic Aperture Radar (PolSAR) has been increasingly used for urban land cover/land-use mapping, since more information could be obtained in multiple polarizations and the collection of such data is less influenced by solar illumination and weather conditions. LÄS MER