Essays about: "Sentinel-1 SAR"

Showing result 11 - 15 of 17 essays containing the words Sentinel-1 SAR.

  1. 11. Development of a deep learning method for soil moisture estimation at high spatial and temporal resolution using satellite data

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nicklas Simonsen; [2021]
    Keywords : Physical Geography and Ecosystem Analysis; Machine Learning; Deep Learning; Recurrent Neural Network; LSTM; Soil Moisture; Remote Sensing; SAR; Sentinel-1; Sentinel-2; ISMN; ICOS: Geomatics; Earth and Environmental Sciences;

    Abstract : Soil moisture (SM) is an essential climate variable that controls fundamental hydrological and climatic processes. Soil moisture products derived from microwave remote sensing often provide measurements at low spatial resolution and incomplete temporal records. READ MORE

  3. 12. Damage Assessment of Mozambique Flooding Using Sentinel

    University essay from KTH/Geoinformatik

    Author : Ludvig Lundberg; [2020]
    Keywords : change detection; supervised classification; sentinel; Mozambique;

    Abstract : In the past 40 years, floods have become a bane of Mozambique’s inhabitants and economy. The latest of them, caused by the cyclone Idai, has devastated the area resulting in loss of life and property. It was estimated that around 715 000 hectares of farmland was destroyed as a result of the cyclone. READ MORE

  4. 13. Deep Learning for Sea-Ice Classification on Synthetic Aperture Radar (SAR) Images in Earth Observation : Classification Using Semi-Supervised Generative Adversarial Networks on Partially Labeled Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Francesco Staccone; [2020]
    Keywords : Earth Observation; Classification; Deep Learning; Convolutional NeuralNetworks; Semi-Supervised Learning; GenerativeAdversarialNetworks; Jordobservation; Klassificering; Djupinlärning; IhopveckladeNeurala Nätverk; Halvövervakad Inlärning; Generativa Fientliga Nätverk;

    Abstract : Earth Observation is the gathering of information about planet Earth’s system via Remote Sensing technologies for monitoring land cover types and their changes. Through the years, image classification techniques have been widely studied and employed to extract useful information from Earth Observation data such as satellite imagery. READ MORE

  5. 14. Assessing the accuracy for area-based tree species classification using Sentinel-1 C-band SAR data

    University essay from SLU/Dept. of Forest Resource Management

    Author : Alberto Udali; [2019]
    Keywords : Sentinel-1; tree species; random forest; linear discrimi-nant analysis; classification;

    Abstract : Forest type (FTY) and tree species classification (SPP) over the Remn-ingstorp test site were performed using ground-based field observations and remote sensing data sources. The field inventory for the forest estate and for the surrounding natural reserve of Eahagen was carried out in 2016. READ MORE

  6. 15. Above-ground biomass estimation in boreal productive forests using Sentinel-1 data

    University essay from Stockholms universitet/Institutionen för naturgeografi

    Author : David Roc Roc; [2019]
    Keywords : synthetic aperture radar SAR ; backscatter intensity; InSAR; interferometric coherence; LIDAR; above-ground biomass; forestry;

    Abstract : Estimation of biomass has high importance for economic, ecologic and climatic reasons due to the multiple ecosystem services offered by forested landscapes. Measurements that are taken in the field incur personal and economic costs. Nevertheless, biomass surveying based on remote sensing techniques offer efficiency thanks to covering large areas. READ MORE