Sökning: "Landsat"

Visar resultat 11 - 15 av 77 uppsatser innehållade ordet Landsat.

  1. 11. Tracing mangrove forest dynamics of Bangladesh using historical Landsat data

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Md Monirul Islam; [2017]
    Nyckelord :Bangladesh; Physical Geography and Ecosystem Analysis; Landsat; mangroves; change detection; time-series; NDVI; supervised classification; Earth and Environmental Sciences;

    Sammanfattning : Present, accurate, and reliable estimation of mangrove forests in Bangladesh is limited. Former estimation of mangroves extent and density has been more or less restricted to Sundarbans and do not represent the whole country. LÄS MER

  2. 12. Automatic information extraction and prediction of karst rocky desertification in Puding using remote sensing data

    Kandidat-uppsats, Högskolan i Gävle/Samhällsbyggnad, GIS

    Författare :Guiwei Wang; [2016]
    Nyckelord :GIS; remote sensing; KRD; change detection; CA Markov prediction; Puding; China;

    Sammanfattning : Karst rocky desertification (KRD) is one kind of severe environmental problem existing in southwest of China. Reveal KRD condition is vital to solve the problem. LÄS MER

  3. 13. Detecting clear-cut deforestation using Landsat data : a time series analysis of remote sensing data in Covasna County, Romania between 2005 and 2015

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Tudor Buhalau; [2016]
    Nyckelord :Landsat; BFAST; Covasna; Physical Geography and Ecosystem Analysis; deforestation; time series; NDVI; NDMI; Earth and Environmental Sciences;

    Sammanfattning : Forested areas represent a fundamental component of the environment. Deforestation and forest fragmentation represent a global issue mostly caused by human influence and Romania is not an exception. Nowadays forests cover approximately a third of Romania’s surface, meaning that the deforestation is a national issue. LÄS MER

  4. 14. Comparison of forest fire severity classification models based on aerial images and Landsat 8 OLI/TIRS images of a forest fire area in central Sweden

    Master-uppsats, SLU/Dept. of Forest Resource Management

    Författare :Adrian Straker; [2016]
    Nyckelord :forest fire; fire severity; stereo photogrammetry; digital surface model; aerial images; NDVI; NBR; Image Matching; Västmanland;

    Sammanfattning : Due to different level of fire severity a diverse mosaic of vegetation pattern establishes after the occurrence of a forest fire. In order to study the effects of forest fires and to plan future remediation of the burned area remote assessment of forest fire severity has shown to be a valuable tool. LÄS MER

  5. 15. Forest Change Mapping in Southwestern Madagascar using Landsat-5 TM Imagery, 1990 –2010

    Magister-uppsats, Högskolan i Gävle/Samhällsbyggnad, GIS

    Författare :Jeroen Grift; [2016]
    Nyckelord :Deforestation; pixel-based classification; object-based classification; landscape metrics; scaling structure;

    Sammanfattning : The main goal of this study was to map and measure forest change in the southwestern part of Madagascar near the city of Toliara in the period 1990-2010. Recent studies show that forest change in Madagascar on a regional scale does not only deal with forest loss, but also with forest growth However, it is unclear how the study area is dealing with these patterns. LÄS MER