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Ali Darvishi Boloorani, Mehdi Darvishi, Qihao Weng and Xiangtong Liu
Urban infrastructures have become imperative to human life. Any damage to these infrastructures as a result of detrimental activities would accrue huge economical costs and severe casualties. War in particular is a major anthropogenic calamity with immen...
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Jose Manuel Monsalve-Tellez, Jorge Luis Torres-León and Yeison Alberto Garcés-Gómez
This paper presents an evaluation of land cover accuracy, particularly regarding oil palm crop cover, using optical/synthetic aperture radar (SAR) image fusion methods through the implementation of the random forest (RF) algorithm on cloud computing plat...
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Douglas C. Comer, Bruce D. Chapman and Jacob A. Comer
We used synthetic aperture radar (SAR) data collected over Peru?s Lines and Geoglyphs of Nasca and Palpa World Heritage Site to detect and measure landscape disturbance threatening world-renowned archaeological features and ecosystems. We employed algori...
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Binh Pham-Duc, Catherine Prigent, Filipe Aires
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This study presents a methodology to detect and monitor surface water with Sentinel-1 Synthetic Aperture Radar (SAR) data within Cambodia and the Vietnamese Mekong Delta. It is based on a neural network classification trained on Landsat-8 optical data. S...
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Viktoriya Tsyganskaya, Sandro Martinis and Philip Marzahn
Synthetic Aperture Radar (SAR) is particularly suitable for large-scale mapping of inundations, as this tool allows data acquisition regardless of illumination and weather conditions. Precise information about the flood extent is an essential foundation ...
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Sellaperumal Pazhanivelan, N. S. Sudarmanian, Vellingiri Geethalakshmi, Murugesan Deiveegan, Kaliaperumal Ragunath, A. P. Sivamurugan and P. Shanmugapriya
Synthetic aperture radar (SAR) imagery, notably Sentinel-1A?s C-band, VV, and VH polarized SAR, has emerged as a crucial tool for mapping rice fields, especially in regions where cloud cover hinders optical imagery. Employing multi-temporal characteristi...
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Yi Lin Tew, Mou Leong Tan, Liew Juneng, Kwok Pan Chun, Mohamad Hafiz bin Hassan, Sazali bin Osman, Narimah Samat, Chun Kiat Chang and Muhammad Humayun Kabir
The 2021?2022 flood is one of the most serious flood events in Malaysian history, with approximately 70,000 victims evacuated daily, 54 killed and total losses up to MYR 6.1 billion. From this devastating event, we realized the lack of extreme precipitat...
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Indra Riyanto, Mia Rizkinia, Rahmat Arief and Dodi Sudiana
Flooding in urban areas is counted as a significant disaster that must be correctly mitigated due to the huge amount of affected people, material losses, hampered economic activity, and flood-related diseases. One of the technologies available for disast...
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Hakan Köksal, Nusret Demir and Ali Kilcik
Ionizing radiation sources such as Solar Energetic Particles and Galactic Cosmic Radiation may cause unexpected errors in imaging and communication systems of satellites in the Space environment, as reported in the previous literature. In this study, the...
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Andrea Semenzato, Salvatore Eugenio Pappalardo, Daniele Codato, Umberto Trivelloni, Silvano De Zorzi, Sabrina Ferrari, Massimo De Marchi and Matteo Massironi
Focusing on a sustainable and strategic urban development, local governments and public administrations, such as the Veneto Region in Italy, are increasingly addressing their urban and territorial planning to meet national and European policies, along wi...
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Oleksii Rubel, Vladimir Lukin, Andrii Rubel and Karen Egiazarian
Images acquired by synthetic aperture radars are degraded by speckle that prevents efficient extraction of useful information from radar remote sensing data. Filtering or despeckling is a tool often used to improve image quality. However, depending upon ...
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Nicolas Baghdadi, Mohammad El Hajj, Mohammad Choker, Mehrez Zribi, Hassan Bazzi, Emmanuelle Vaudour, Jean-Marc Gilliot and Dav M. Ebengo
The purpose of this study is to analyze the potential of Sentinel-1 C-band SAR data in VV polarization for estimating the surface roughness (Hrms) over bare agricultural soils. An inversion technique based on Multi-Layer Perceptron neural networks is use...
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Nicolas Baghdadi, Mohammad El Hajj, Mohammad Choker, Mehrez Zribi, Hassan Bazzi, Emmanuelle Vaudour, Jean-Marc Gilliot and Dav M. Ebengo
The purpose of this study is to analyze the potential of Sentinel-1 C-band SAR data in VV polarization for estimating the surface roughness (Hrms) over bare agricultural soils. An inversion technique based on Multi-Layer Perceptron neural networks is use...
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Duy Ba Nguyen and Wolfgang Wagner
Rice farming is one of the most important activities in the agriculture sector, producing staple food for the majority of the world's growing population. Accurate and up-to-date assessment of the spatial distribution of rice cultivated area is a key info...
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Duy Ba Nguyen, Wolfgang Wagner
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Rice farming is one of the most important activities in the agriculture sector, producing staple food for the majority of the world's growing population. Accurate and up-to-date assessment of the spatial distribution of rice cultivated area is a key info...
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Sara Zollini, Donatella Dominici, Maria Alicandro, María Cuevas-González, Eduard Angelats, Francesca Ribas and Gonzalo Simarro
Coastal environments are dynamic ecosystems, constantly subject to erosion/accretion processes. Erosional trends have unfortunately been intensifying for decades due to anthropic factors and an accelerated sea level rise might exacerbate the problem. It ...
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Bin Hu, Yongyang Xu, Xiao Huang, Qimin Cheng, Qing Ding, Linze Bai and Yan Li
Accurate land cover mapping is important for urban planning and management. Remote sensing data have been widely applied for urban land cover mapping. However, obtaining land cover classification via optical remote sensing data alone is difficult due to ...
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Siyi Li, Guowang Jin and Jiahao Li
Flooding is one of the most frequently occurring meteorological disasters nowadays, and its occurrence can cause significant socio-economic losses. Aiming at the problem that traditional optical remote sensing makes it difficult to monitor floods, this p...
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Kaveh Ghahraman, Balázs Nagy and Fatemeh Nooshin Nokhandan
We utilized the random forest (RF) machine learning algorithm, along with nine topographical/morphological factors, namely aspect, slope, geomorphons, plan curvature, profile curvature, terrain roughness index, surface texture, topographic wetness index ...
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Alessandro Novellino, Francesca Cigna, Mouna Brahmi, Andrew Sowter, Luke Bateson and Stuart Marsh
This work assesses the feasibility of national ground deformation monitoring of Great Britain using synthetic aperture radar (SAR) imagery acquired by Copernicus? Sentinel-1 constellation and interferometric SAR (InSAR) analyses. As of December 2016, the...
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