ALBERT

Description / Table of Contents: What are smart cities? What are their purposes? What are the impacts resulting from their implementations? With these questions in mind, this book is compiled with the primary concern of answering readers with different profiles; from those interested in acquiring basic knowledge about the various topics surrounding the subject related to smart cities, to those who are more motivated by knowing the technical elements and the technological apparatus involving this theme. This book audience is multidisciplinary, as it will be confirmed by the various chapters addressed here. It explores different knowledge areas, such as electric power systems, signal processing, telecommunications, electronics, systems optimization, computational intelligence, real-time systems, renewable energy systems, and information systems.

Description / Table of Contents: 1. A Study on Phenology Detection of Corn in Northeastern China with Fused Remote Sensing Data / by Linglin Zeng and Daxiang Xiang --- 2. Despeckling of Multitemporal Sentinel SAR Images and Its Impact on Agricultural Area Classification / by Vladimir Lukin, Oleksii Rubel, Ruslan Kozhemiakin, Sergey Abramov, Andrii Shelestov, Mykola Lavreniuk, Mykola Meretsky, Benoit Vozel and Kacem Chehdi --- 3. Remote Sensing of Forests using Discrete Return Airborne LiDAR / by Hamid Hamraz and Marco A. Contreras --- 4. Remote Sensing in Land Applications by Using GNSS-Reflectometry / by Yan Jia and Yuekun Pei --- 5. Remote Sensing with Shipborne High-Frequency Surface-Wave Radar / by Junhao Xie, Minglei Sun, Zhenyuan Ji and Guowei Yao --- 6. Use of Historical Google Earth Images to Create Likelihood of Aquatic Plants along Segments of Ohio River / by Yi-Hwa Wu, Ming-Chih Hung, Jeff Thomas and Maureen Gallagher --- 7. Remote Sensing to Detect and Monitor Trees in Various Environments: Case Studies in Chile / by Guido Staub --- 8. Monitoring Land Surface Deformation with Satellite ScanSAR Images: Case Studies on Large Earthquakes in China / by Tingchen Jiang, Xiuping Wang, Yuanzhi Zhang and Yu Li --- 9. Applications of Remote Sensing in Geoscience / by Hakim Saibi, Mohand Bersi, Mohamed Bodruddoza Mia, Nureddin Mohamed Saadi, Khalid Mohamed Saleh Al Bloushi and Robert W. Avakian

Description / Table of Contents: 1. An Insight into the Process, Tools and Techniques for Construction Risk Management / by Onengiyeofori O. Odimabo, Chike F. Oduoza and Subashini Suresh --- 2. Big Data as a Project Risk Management Tool / by Jarosław Górecki --- 3. Product Life Cycle Risk Management / by Jan Machac, Frantisek Steiner and Jiri Tupa --- 4. Critical Success Factors for Effective Risk Management / by Geraldine J. Kikwasi --- 5. Construction Supply Chain Resilience in Catastrophic Events / by Yasangika Gayani Sandanayake, Tharaka Bandara Dissanayake and Chike Oduoza --- 6. Risk Management in Indonesia Construction Project: A Case Study of a Toll Road Project / by Mochammad Agung Wibowo, Jati Utomo Dwi Hatmoko and Asri Nurdiana --- 7. Risk Management to Enhance Performance in the Construction SME Sector; Theory and Case Study / by Jan Simota, Jiri Tupa* and Frantisek Steiner --- 8. Leadership Initiatives for Health and Safety Risk Management Systems in a Small Construction Company: A Case Study / by Subashini Suresh, Chike Oduoza and Suresh Renukappa --- 9. Landslide Risk Management for Urbanized Territories / by Valentina Svalova

Description / Table of Contents: Deng, X.; López-Martínez, C.; Chen, J.; Han, P. Statistical Modeling of Polarimetric SAR Data: A Survey and Challenges. Remote Sens. 2017, 9(4), 348; https://doi.org/10.3390/rs9040348 --- Braun, A.; Hochschild, V. A SAR-Based Index for Landscape Changes in African Savannas. Remote Sens. 2017, 9(4), 359; https://doi.org/10.3390/rs9040359 --- Ghafouri, A.; Amini, J.; Dehmollaian, M.; Kavoosi, M. Better Estimated IEM Input Parameters Using Random Fractal Geometry Applied on Multi-Frequency SAR Data. Remote Sens. 2017, 9(5), 445; https://doi.org/10.3390/rs9050445 --- Kim, S.; Yu, J.; Jeon, S.; Dewantari, A.; Ka, M. Signal Processing for a Multiple-Input, Multiple-Output (MIMO) Video Synthetic Aperture Radar (SAR) with Beat Frequency Division Frequency-Modulated Continuous Wave (FMCW). Remote Sens. 2017, 9(5), 491; https://doi.org/10.3390/rs9050491 --- Chen, Q.; Li, L.; Xu, Q.; Yang, S.; Shi, X.; Liu, X. Multi-Feature Segmentation for High-Resolution Polarimetric SAR Data Based on Fractal Net Evolution Approach. Remote Sens. 2017, 9(6), 570; https://doi.org/10.3390/rs9060570 --- Garthwaite, M. On the Design of Radar Corner Reflectors for Deformation Monitoring in Multi-Frequency InSAR. Remote Sens. 2017, 9(7), 648; https://doi.org/10.3390/rs9070648 --- Tao, C.; Chen, S.; Li, Y.; Xiao, S. PolSAR Land Cover Classification Based on Roll-Invariant and Selected Hidden Polarimetric Features in the Rotation Domain. Remote Sens. 2017, 9(7), 660; https://doi.org/10.3390/rs9070660 --- Giudici, D.; Monti Guarnieri, A.; Cuesta Gonzalez, J. Pre-Flight SAOCOM-1A SAR Performance Assessment by Outdoor Campaign. Remote Sens. 2017, 9(7), 729; https://doi.org/10.3390/rs9070729 --- Libert, L.; Derauw, D.; d’Oreye, N.; Barbier, C.; Orban, A. Split-Band Interferometry-Assisted Phase Unwrapping for the Phase Ambiguities Correction. Remote Sens. 2017, 9(9), 879; https://doi.org/10.3390/rs9090879 --- Zhao, J.; Wu, J.; Ding, X.; Wang, M. Elevation Extraction and Deformation Monitoring by Multitemporal InSAR of Lupu Bridge in Shanghai. Remote Sens. 2017, 9(9), 897; https://doi.org/10.3390/rs9090897 --- Park, J.; Kim, J.; Won, J. Fast and Efficient Correction of Ground Moving Targets in a Synthetic Aperture Radar, Single-Look Complex Image. Remote Sens. 2017, 9(9), 926; https://doi.org/10.3390/rs9090926 --- Shi, X.; Jiang, H.; Zhang, L.; Liao, M. Landslide Displacement Monitoring with Split-Bandwidth Interferometry: A Case Study of the Shuping Landslide in the Three Gorges Area. Remote Sens. 2017, 9(9), 937; https://doi.org/10.3390/rs9090937 --- Zhai, A.; Wen, X.; Xu, H.; Yuan, L.; Meng, Q. Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images. Remote Sens. 2017, 9(10), 1085; https://doi.org/10.3390/rs9101085 --- Wang, C.; Chen, L.; Zhao, H.; Lu, Z.; Bian, M.; Zhang, R.; Feng, J. Ionospheric Reconstructions Using Faraday Rotation in Spaceborne Polarimetric SAR Data. Remote Sens. 2017, 9(11), 1169; https://doi.org/10.3390/rs9111169 --- Monti-Guarnieri, A.; Giudici, D.; Recchia, A. Identification of C-Band Radio Frequency Interferences from Sentinel-1 Data. Remote Sens. 2017, 9(11), 1183; https://doi.org/10.3390/rs9111183 --- Behnamian, A.; Banks, S.; White, L.; Brisco, B.; Millard, K.; Pasher, J.; Chen, Z.; Duffe, J.; Bourgeau-Chavez, L.; Battaglia, M. Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study. Remote Sens. 2017, 9(12), 1209; https://doi.org/10.3390/rs9121209 --- Sun, L.; Muller, J.; Chen, J. Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking. Remote Sens. 2017, 9(12), 1314; https://doi.org/10.3390/rs9121314 --- Di Martino, G.; Iodice, A.; Riccio, D.; Ruello, G.; Zinno, I. The Role of Resolution in the Estimation of Fractal Dimension Maps From SAR Data. Remote Sens. 2018, 10(1), 9; https://doi.org/10.3390/rs10010009 --- Garthwaite, M. Correction: Garthwaite, M.C. on the Design of Radar Corner Reflectors for Deformation Monitoring in Multi-Frequency InSAR. Remote Sens. 2017, 9, 648. Remote Sens. 2018, 10(1), 86; https://doi.org/10.3390/rs10010086 --- Zhang, H.; Tang, J.; Wang, R.; Deng, Y.; Wang, W.; Li, N. An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing. Remote Sens. 2018, 10(1), 140; https://doi.org/10.3390/rs10010140 --- Eshqi Molan, Y.; Kim, J.; Lu, Z.; Agram, P. L-Band Temporal Coherence Assessment and Modeling Using Amplitude and Snow Depth over Interior Alaska. Remote Sens. 2018, 10(1), 150; https://doi.org/10.3390/rs10010150 --- Dong, Y.; Jiang, H.; Zhang, L.; Liao, M. An Efficient Maximum Likelihood Estimation Approach of Multi-Baseline SAR Interferometry for Refined Topographic Mapping in Mountainous Areas. Remote Sens. 2018, 10(3), 454; https://doi.org/10.3390/rs10030454 --- Bu, Y.; Liang, X.; Wang, Y.; Zhang, F.; Li, Y. A Unified Algorithm for Channel Imbalance and Antenna Phase Center Position Calibration of a Single-Pass Multi-Baseline TomoSAR System. Remote Sens. 2018, 10(3), 456; https://doi.org/10.3390/rs10030456 --- Neelmeijer, J.; Schöne, T.; Dill, R.; Klemann, V.; Motagh, M. Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data—A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series. Remote Sens. 2018, 10(3), 462; https://doi.org/10.3390/rs10030462 --- Tian, X.; Malhotra, R.; Xu, B.; Qi, H.; Ma, Y. Modeling Orbital Error in InSAR Interferogram Using Frequency and Spatial Domain Based Methods. Remote Sens. 2018, 10(4), 508; https://doi.org/10.3390/rs10040508 --- Even, M.; Schulz, K. InSAR Deformation Analysis with Distributed Scatterers: A Review Complemented by New Advances. Remote Sens. 2018, 10(5), 744; https://doi.org/10.3390/rs10050744 --- Washaya, P.; Balz, T.; Mohamadi, B. Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas. Remote Sens. 2018, 10(7), 1026; https://doi.org/10.3390/rs10071026 --- Balz, T.; Sörgel, U.; Crespi, M.; Osmanoglu, B. Editorial for Special Issue “Advances in SAR: Sensors, Methodologies, and Applications”. Remote Sens. 2018, 10(8), 1233; https://doi.org/10.3390/rs10081233

Description / Table of Contents: Does Sea Surface Temperature Contribute to Determining Range Limits and Expansion of Mangroves in Eastern South America (Brazil)? / by Arimatéa C. Ximenes, Leandro Ponsoni, Catarina F. Lira, Nico Koedam and Farid Dahdouh-Guebas. Remote Sensing 2018, 10(11), 1787; https://doi.org/10.3390/rs10111787 --- Sea Surface Temperature (SST) Variability of the Eastern Coastal Zone of the Gulf of California / by Carlos Manuel Robles-Tamayo, José Eduardo Valdez-Holguín, Ricardo García-Morales, Gudelia Figueroa-Preciado, Hugo Herrera-Cervantes, Juana López-Martínez and Luis Fernando Enríquez-Ocaña. Remote Sensing 2018, 10(9), 1434; https://doi.org/10.3390/rs10091434 --- Quality Assessment of Sea Surface Temperature from ATSRs of the Climate Change Initiative (Phase 1) / by Christoforos Tsamalis and Roger Saunders. Remote Sensing 2018, 10(4), 497; https://doi.org/10.3390/rs10040497 --- Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST / by Brady S. Ferster, Bulusu Subrahmanyam and Alison M. Macdonald. Remote Sensing 2018, 10(2), 331; https://doi.org/10.3390/rs10020331 --- Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation / by Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Pierre-Henri Horrein and Bertrand Chapron. Remote Sensing 2018, 10(2), 310; https://doi.org/10.3390/rs10020310 --- Optimal Estimation of Sea Surface Temperature from AMSR-E / by Pia Nielsen-Englyst, Jacob L. Høyer, Leif Toudal Pedersen, Chelle L. Gentemann, Emy Alerskans, Tom Block and Craig Donlon. Remote Sensing 2018, 10(2), 229; https://doi.org/10.3390/rs10020229 --- Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures / by Stéphane Saux Picart, Pierre Tandeo, Emmanuelle Autret and Blandine Gausset. Remote Sensing 2018, 10(2), 224; https://doi.org/10.3390/rs10020224 --- The Accuracies of Himawari-8 and MTSAT-2 Sea-Surface Temperatures in the Tropical Western Pacific Ocean / by Angela L. Ditri, Peter J. Minnett, Yang Liu, Katherine Kilpatrick and Ajoy Kumar. Remote Sensing 2018, 10(2), 212; https://doi.org/10.3390/rs10020212 --- Role of El Niño Southern Oscillation (ENSO) Events on Temperature and Salinity Variability in the Agulhas Leakage Region / by Morgan L. Paris and Bulusu Subrahmanyam. Remote Sensing 2018, 10(1), 127; https://doi.org/10.3390/rs10010127 --- Stability Assessment of the (A)ATSR Sea Surface Temperature Climate Dataset from the European Space Agency Climate Change Initiative / by David I. Berry, Gary K. Corlett, Owen Embury and Christopher J. Merchant. Remote Sensing 2018, 10(1), 126; https://doi.org/10.3390/rs10010126 --- Bayesian Cloud Detection for 37 Years of Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Data / by Claire E. Bulgin, Jonathan P. D. Mittaz, Owen Embury, Steinar Eastwood and Christopher J. Merchant. Remote Sensing 2018, 10(1), 97; https://doi.org/10.3390/rs10010097 --- The Role of Advanced Microwave Scanning Radiometer 2 Channels within an Optimal Estimation Scheme for Sea Surface Temperature / by Kevin Pearson, Christopher Merchant, Owen Embury and Craig Donlon. Remote Sensing 2018, 10(1), 90; https://doi.org/10.3390/rs10010090 --- Remote Sensing of Coral Bleaching Using Temperature and Light: Progress towards an Operational Algorithm / by William Skirving, Susana Enríquez, John D. Hedley, Sophie Dove, C. Mark Eakin, Robert A. B. Mason, Jacqueline L. De La Cour, Gang Liu, Ove Hoegh-Guldberg, Alan E. Strong, Peter J. Mumby and Roberto Iglesias-Prieto. Remote Sensing 2018, 10(1), 18; https://doi.org/10.3390/rs10010018 --- Reconstruction of Daily Sea Surface Temperature Based on Radial Basis Function Networks / by Zhihong Liao, Qing Dong, Cunjin Xue, Jingwu Bi and Guangtong Wan. Remote Sensing 2017, 9(11), 1204; https://doi.org/10.3390/rs9111204 --- Submesoscale Sea Surface Temperature Variability from UAV and Satellite Measurements / by Sandra L. Castro, William J. Emery, Gary A. Wick and William Tandy. Remote Sensing 2017, 9(11), 1089; https://doi.org/10.3390/rs9111089 --- Environmental Variability and Oceanographic Dynamics of the Central and Southern Coastal Zone of Sonora in the Gulf of California / by Ricardo García-Morales, Juana López-Martínez, Jose Eduardo Valdez-Holguin, Hugo Herrera-Cervantes and Luis Daniel Espinosa-Chaurand. Remote Sensing 2017, 9(9), 925; https://doi.org/10.3390/rs9090925 --- Determining the Pixel-to-Pixel Uncertainty in Satellite-Derived SST Fields / by Fan Wu, Peter Cornillon, Brahim Boussidi and Lei Guan. Remote Sensing 2017, 9(9), 877; https://doi.org/10.3390/rs9090877 --- Evaluation of the Multi-Scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature / by Erik Crosman, Jorge Vazquez-Cuervo and Toshio Michael Chin. Remote Sensing 2017, 9(7), 723; https://doi.org/10.3390/rs9070723

Description / Table of Contents: This book discusses energy efficient buildings and the role they play in our efforts to address climate change, energy consumption and greenhouse gas emissions by considering buildings and the construction sector's unique position along a critical path to decarbonisation from a multi-perspective and holistic viewpoint. Topics covered in the book range from daylighting, building topology comparison, building envelope design, zero energy homes in hot arid regions, life-cycle considerations and energy efficiency analysis to managing energy demand through equipment selection. Each chapter addresses an important aspect of energy efficient building and serves as a vital building block towards constructing a timely and relevant body of knowledge in energy efficient buildings.

Description / Table of Contents: The success of the Suomi National Polar-orbiting Partnership (NPP) brings us into a new era of global daily Earth observations, ranging from the faintest light of human settlements and air glows to the dramatic events of hurricanes and forest fires, as well as the subtle changes in the planet Earth which we call home. At the heart of all satellite applications, calibration/validation of the measurements and derived products is the key. Satellite product calibration and validation have become increasingly more important and challenging in order to meet the stringent requirements for accurate quantitative data for climate change detection, numerical weather prediction, and environmental intelligence. Validation is required not only for the satellite measurements, but also for all geophysical retrievals, including aerosols, cloud properties, radiation budget, sea surface temperature, ocean color, active fire, albedo, snow and ice, vegetation, as well as nightlights from human settlements. Active validation research includes but not limited to, comparisons with similar products from other satellites, with in situ, aircraft measurements, or observations from other platforms. Validation results not only help users and decision makers but also serve as feedback to calibration, which in turn improves the products. This Special Issue of Remote Sensing aims at exploring recent results in the calibration and validation of the Suomi National Polar-orbiting Partnership satellite (Suomi NPP)/JPSS radiometers.

Description / Table of Contents: The biggest problem for a shallow foundation, just as for any other type of foundation, is a failure due to an overestimation of the bearing capacity. This means that the correct prediction of the bearing capacity of the foundation is often the most important part of the design of a civil structure. That is why the publication by Prandtl in 1920 about the hardness of a plastic body, was a major step in solving the bearing capacity of shallow foundations, although it is well possible that he never realised this, because his solution was not made for civil engineering purposes, but for mechanical purposes. Over the last 100 years, a lot of extensions have been made, for example with inclination factors and shape factors. Also many laboratory experiments have been done and numerical calculations have been made. Some even try to extrapolate the failure mechanism for shallow foundations to the failure mechanism around the tip of a pile. All this scientific work leads back to the first publication by Ludwig Prandtl in 1920. This book, “100 Years of Prandtl’s Wedge”, is intended for all those who are interested in these fundamentals of foundation engineering and their history. The Appendices include a copy of Prandtl’s Über die Härte plastischer Körper and of Reissner’s publication of 1924, Zum Erddruckproblem.