Sökning: "Multispektrala Bilder"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Multispektrala Bilder.

1. 1. Correlation between Normalized Difference Vegetation Index (NDVI) and in vitro organic matter digestibility (IVOMD) of reindeer pasture plants : Korrelation mellan Normalized Difference Vegetation Index (NDVI) och smältbarhet av renbetesväxter i vomvätska in vitro (VOS)

   Master-uppsats, SLU/Dept. of Animal Nutrition and Management

   Författare :Jannica Helmersson; [2023]
   Nyckelord :Normalized Difference Vegetation Index; NDVI; in vitro organic matter digestibility; IVOMD; VOS; caribou; Rangifer tarandus; reindeer pasture plants; drone;

   Sammanfattning : Renen livnär sig på många olika betesväxter och den följer växtfenologins utveckling under barmarkssäsongen, vilket resulterar i högkvalitativt foderintag. Levande växtbiomassa kan uppskattas på landskapsnivå genom att använda vegetationsindex som värderar vegetation utifrån spektrala mätningar. LÄS MER

3. 2. Reliable Detection of Water Areas in Multispectral Drone Imagery : A faster region-based CNN model for accurately identifying the location of small-scale standing water bodies

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Shengyao Shangguan; [2023]
   Nyckelord :Water Detection; Faster region-based convolutional neural networks; Multiple images; Convolutional neural networks; Random Forest; Vattendetektering; Snabbare regionbaserade konvolutionella neurala nätverk; Flera bilder; Konvolutionella neurala nätverk; Random Forest;

   Sammanfattning : Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principal vector species of both viruses are Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow flowing or standing pools of water. LÄS MER

4. 3. Estimation of Water Depth from Multispectral Drone Imagery : A suitability assessment of CNN models for bathymetry retrieval in shallow water areas

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Qianyao Shen; [2022]
   Nyckelord :Bathymetry Retrieval; Multispectral Imagery; Convolutional Neural Network CNN ; Hämtning Av Batymetri; Multispektrala Bilder; Konvolutionellt Neuralt Nätverk CNN ;

   Sammanfattning : Aedes aegypti and Aedes albopictus are the main vector species for dengue disease and zika, two arboviruses that affect a substantial fraction of the global population. These mosquitoes breed in very slow-moving or standing pools of water, so detecting and managing these potential breeding habitats is a crucial step in preventing the spread of these diseases. LÄS MER

5. 4. A study on the urbanization of Bengaluru, India between 2015 and 2020 based on Sentinel-1/2 data

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Shreyas Goswami; [2021]
   Nyckelord :;

   Sammanfattning : Availability of timely information about land-use and land-cover (LULC) changes is essential for understanding and modelling the urbanization pattern, and thereby in planning sustainable urban development of a region accordingly. Remote sensing technology, using Earth observation satellites, has emerged as a reliable tool for timely monitoring of changes anywhere on Earth. LÄS MER

7. 5. Direct multispectral photogrammetry for UAV-based snow depth measurements

   Master-uppsats, KTH/Geoinformatik

   Författare :Kathrin Maier; [2019]
   Nyckelord :Unmanned Aerial Vehicles UAV ; snow depth; direct photogrammetry; multispectral imagery; cryosphere;

   Sammanfattning : Due to the changing climate and inherent atypically occurring meteorological events in the Arctic regions, more accurate snow quality predictions are needed in order to support the Sámi reindeer herding communities in northern Sweden that struggle to adapt to the rapidly changing Arctic climate. Spatial snow depth distribution is a crucial parameter not only to assess snow quality but also for multiple environmental research and social land use purposes. LÄS MER