Essays about: "Synthetic Aperture Radar SAR"

Showing result 16 - 20 of 56 essays containing the words Synthetic Aperture Radar SAR.

  1. 16. Assessing the suitability of using Sentinel-1A SAR multi-temporal imagery to detect fallow periods between rice crops

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Lukasz Langowski; [2021]
    Keywords : Geography; Geographical Information System; GIS; Remote Sensing; Fallow; Detection; Sentinel-1A; Synthetic-aperture radar; SAR; Earth and Environmental Sciences;

    Abstract : Fallow, understood as a period where no crop is cultivated during a growing season, is an important crop management practice. Fallow plays an important role in pest and disease management, and monitoring the presence and duration of fallow can have implications for understanding the extent and effectiveness of this agricultural practice. READ MORE

  3. 17. Interferometric Synthetic Aperture Radar For Track Condition Monitoring. Case Study on Malmbanan

    University essay from Lunds universitet/Trafik och väg

    Author : Kara Åmerbilly; [2021]
    Keywords : InSAR; railway; maintenance; underhåll; järnväg; Technology and Engineering;

    Abstract : There is over 15,000 km of track in the Swedish railroad network. This network is vital for the transport of people and goods across the country. It is important that this network is monitored and maintained to ensure good function and safety. READ MORE

  4. 18. 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

  5. 19. Exploring Spatiotemporal Relationships between InSAR-derived Land Subsidence and Satellite-based Hydrological Variables

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Yixin Zhang; [2021]
    Keywords : InSAR; Shabestar; subsidence; groundwater; hydrological variables; LSTM; Sentinel-1A; Geomatics; Technology and Engineering; Earth and Environmental Sciences;

    Abstract : Shabestar basin in the East Azerbaijan province, Northwest Iran, where irrigation is the main groundwater consumer, has experienced large-scale subsidence and groundwater deletion, which poses a threat to the local agricultural activities, economic development, and food security. With the emergency of mitigating the risk, satisfying future demand for groundwater, and improving resilience considering climate change, this study proposes a satellite-based approach to explore the spatio-temporal relationships between measured subsidence and hydrological variables in the basin to assist groundwater management strategy. READ MORE

  6. 20. 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