Sökning: "Sentinel-1 SAR"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Sentinel-1 SAR.

1. 1. Monitoring deforestation in the Serranía de Chiribiquete in northern Colombian Amazon using time series analysis of satellite data

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

   Författare :Yuyang Qian; [2023]
   Nyckelord :Physical Geography and Ecosystem analysis; CCDC; Forest loss; Landsat; Sentinel-1; Change detection; NNP; FARC; Earth and Environmental Sciences;

   Sammanfattning : Deforestation monitoring is of significant importance for the ecosystem, climate change,and policy-making. The availability of optical and synthetic aperture radar (SAR) satellite remote sensing images, along with the development of time series change detection methods, has contributed to the increasing popularity of time series analysis in forest disturbance monitoring. LÄS MER

3. 2. Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Oliver Persson Bogdanovski; Christoffer Svenningsson; [2023]
   Nyckelord :Precision Agriculture; Sentinel-1 SAR; Machine Learning; Winter Wheat; Harvest Prediction; RFI-filtering; Despeckling; Mathematics and Statistics;

   Sammanfattning : Aiding farmers with their tremendous task of sustainably and cost-efficiently feeding the world is of utmost importance. Information technology plays a crucial role in supporting farmers and supplying them with accurate information about their crops. LÄS MER

4. 3. Land Use/Land Cover Classification From Satellite Remote Sensing Images Over Urban Areas in Sweden : An Investigative Multiclass, Multimodal and Spectral Transformation, Deep Learning Semantic Image Segmentation Study

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Oskar Aidantausta; Patrick Asman; [2023]
   Nyckelord :data fusion; deep learning; land use land cover classification; multiclass; multimodal; remote sensing; semantic segmentation; Sentinel satellite; spectral index; U-Net; Urban Atlas;

   Sammanfattning : Remote Sensing (RS) technology provides valuable information about Earth by enabling an overview of the planet from above, making it a much-needed resource for many applications. Given the abundance of RS data and continued urbanisation, there is a need for efficient approaches to leverage RS data and its unique characteristics for the assessment and management of urban areas. LÄS MER

5. 4. Usability of Sentinel-1 C-band VV and VH SAR data for the detection of flooded oil palm

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

   Författare :Sarah Lee Sienaert; [2023]
   Nyckelord :Geography; GIS; Sentinel-1; SAR; C-band; VV; VH; Oil Palm; Flood; Earth and Environmental Sciences;

   Sammanfattning : Flooding in oil palm plantations in Southeast Asia is a common problem. The oil palm’s habitable range is restricted to lowland equatorial areas, and the high rainfall and degraded landscapes associated with oil palm cultivation leaves oil palm prone to flooding. LÄS MER

7. 5. Forest Aboveground Biomass Monitoring in Southern Sweden Using Random Forest Modelwith Sentinel-1, Sentinel-2, and LiDAR Data

   Magister-uppsats, Högskolan i Gävle/Samhällsbyggnad

   Författare :Wan Ni Lin; [2023]
   Nyckelord :Aboveground biomass; Sentinel-1; Sentinel-2; LiDAR; random forest; GEE;

   Sammanfattning : Monitoring carbon stock has emerged as a critical environmental problem among several worldwide organizations and collaborations in the context of global warming and climate change. This study seeks to provide a remote sensing solution based on three types of data, to explore the feasibility and reliability of estimating aboveground biomass (AGB) in order to improve the efficiency of monitoring carbon stock. LÄS MER