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Focusing on the Middle East and North Africa (MENA) region, which comprises some of the world's richest countries next to some of the poorest, this book offers excellent insights into the discriminatory consequences of the COVID-19 pandemic. With a geographic focus on the MENA region, the multidisciplinary case studies collected in this edited volume reveal that the coronavirus's impact patterns are a question of two variables: governance performance and socioeconomic potency. Given the global, unprecedented, complex, and systemic nature of COVID-19- and its long-term implications for societies, governments, international organisations, citizens and corporations - this volume entails a relevance to regions undergoing similar dynamics. Analyses in the book, therefore, have implications for the comparative study of the pandemic and its impact on societies around the globe. Understanding related dynamics and implications, and making use of lessons learned, are a pathway to deal with future similar crises. Questions covered in the volume are relevant to geopolitics, social implications and the relations between political leaders and citizens as beings embedded in various strategies of communication. The volume will appeal to scholars of international politics, political science, risk or crisis governance, economics and sociology, human rights and security, political communication and public health. The Open Access version of this book, available athttp://www.taylorfrancis.com, has been made available under a Creative Commons Attribution- Non Commercial- No Derivatives 4.0 licence.

COVID-19 Pandemic, 2020 --- -COVID-19 Pandemic, 2020 --- -Social aspects --- Social aspects --- Political aspects --- -Epidemics --- arab --- china --- coronavirus --- hezbollah --- islam --- lebanon --- pandemic --- -arab

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The Special Issue collects papers showing the progress made in key areas of photogrammetry and remote sensing such as modern and/or forthcoming sensors, improvements in data processing strategies and assessment of their reliability, application of innovations as proof of the contribution offered in the observation of the natural and built environment with better understanding of phenomena at required spatial scale.

VHR tri-stereo satellite imagery --- digital elevation model --- isolated objects --- dense image matching --- change detection --- natural disasters --- deep learning --- threshold selection --- optical flow estimation --- Structure from Motion (SfM) --- 3D reconstruction --- noise estimation --- point clouds --- roughness --- surface reconstruction --- mesh model --- visibility constraints --- volumetric methods --- dense point cloud --- multiple view stereo (MVS) --- dense image matching (DIM) --- photogrammetry --- computer vision --- Copernicus --- Sentinel-1 --- Sentinel-2 --- InSAR --- damage proxy map --- Beirut --- Lebanon --- explosion --- radiometric calibration --- modeling --- geometric error --- high-precision calibration --- n/a --- preprocessing --- enhancement --- point cloud --- image processing --- image histogram --- UAV --- camera calibration --- GNSS-assisted block orientation --- dome effect --- Monte Carlo simulation --- soil moisture content --- artificial neural network --- sample optimization --- synthetic aperture radar --- optical remote sensing image