ALBERT

Description / Table of Contents: Chapter 1: Introductory Chapter: Electrochemical Sensors Technology by Mohammed Muzibur Rahman and Abdullah Mohamed Asiri --- Chapter 2: Enzyme-Based Electrochemical Glutamate Biosensors by Stanley L. Okon and Niina J. Ronkainen --- Chapter 3: Graphene-Paper Based Electrochemical Sensors by Minwei Zhang, Arnab Halder, Xianyi Cao, Chengyi Hou and Qijin Chi --- Chapter 4: Electrochemical Sensors for Monitoring of Indoor and Outdoor Air Pollution by Igor Cretescu, Doina Lutic and Liliana Rosemarie Manea --- Chapter 5: Experimental Analysis of Modified CNTs-Based Gas Sensor by Ju Tang, Xiaoxing Zhang, Song Xiao and Yingang Gui --- Chapter 6: Fabrication and Characterization of Metal-Loaded Mixed Metal Oxides Gas Sensors for the Detection of Hazardous Gases by Chang-Seop Lee and Yong Jae Kim --- Chapter 7: Managing H2O Cross-Sensitivity Using Composite Electrolyte NOx Sensors by Erica Perry Murray, Khawlah Kharashi and Kehinde Adedeji

Description / Table of Contents: 1. Waveform Design and Related Processing for Multiple Target Detection and Resolution / By Gaspare Galati and Gabriele Pavan --- 2. Space-Time Transmit-Receive Design for Colocated MIMO Radar / By Guolong Cui, Xianxiang Yu and Lingjiang Kong --- 3. Waveform Design for MIMO Radar and SAR Application / By Stéphane Méric and Jean-Yves Baudais --- 4. A 94-GHz Frequency Modulation Continuous Wave Radar Imaging and Motion Compensation / By Jiwoong Yu, Sumin Kim and Min-Ho Ka --- 5. Analysis of Coastal Areas Using SAR Images: A Case Study of the Dutch Wadden Sea Region / By Corneliu Octavian Dumitru, Gottfried Schwarz, Daniela Espinoza- Molina, Mihai Datcu, Herman Hummel and Christiaan Hummel --- 6. Adaptive Clutter Cancellation Techniques for Passive Radars / By Tamás Pető and Rudolf Seller --- 7. Sense Smart, Not Hard: A Layered Cognitive Radar Architecture / By Stefan Brüggenwirth, Marcel Warnke, Christian Bräu, Simon Wagner, Tobias Müller, Pascal Marquardt and Fernando Rial --- 8. Representation of Radar Micro-Dopplers Using Customized Dictionaries / By Shobha Sundar Ram --- 9. Adaptive Coding, Modulation and Filtering of Radar Signals / By Moutaman Mirghani Daffalla and Ahmed Awad Babiker --- 10. Bispectrum- and Bicoherence-Based Discriminative Features Used for Classification of Radar Targets and Atmospheric Formations / By Alexander Totsky and Karen Egiazarian

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.

Description / Table of Contents: In-situ density measurements in the mesosphere/lower thermosphere region with the TOTAL and CONE instruments / Boris Strelnikov, Markus Rapp, and Franz-Josef Lübkin / pp. 1-11. doi:10.5047/aisi.001 --- Atomic oxygen measurement by resonance lamp / N. Iwagami and W. H. Morrow / pp. 13-16. doi:10.5047/aisi.002 --- Nitric oxide measurement by self-absorbing gas cell / N. Iwagami / pp. 17-20. doi:10.5047/aisi.003 --- Imaging attitude finder for a sounding rocket and magnesium ion imager for airglow spatial pattern / N. Iwagami, Y. Koizumi-Kurihara, and J. Kurihara / pp. 21-24. doi:10.5047/aisi.004 --- Airglow photometers on board sounding rockets / B. R. Clemesha, H. Takahashi, A. Eras, N. B. Lisboa, and D. Gobbi / pp. 25-31. doi:10.5047/aisi.005 --- N2 Temperature of Vibration instrument for sounding rocket observation in the lower thermosphere / J. Kurihara, N. Iwagami, and K.-I. Oyama / pp. 33-39. doi:10.5047/aisi.006 --- Foil chaff ejection systems for sounding rocket measurements of neutral winds in the mesopause region / Yoshiko Koizumi-Kurihara, Junichi Kurihara, Yasuhiro Murayama, and Koh-Ichiro Oyama / pp. 41-46. doi:10.5047/aisi.007 --- Wind measurements: Trimethyl aluminum (TMA) chemical release technique / M. F. Larsen / pp. 47-51. doi:10.5047/aisi.008 --- Rocket-borne Lithium ejection system for neutral wind measurement / Hiroto Habu, Masa-yuki Yamamoto, Shigeto Watanabe, and Miguel F. Larsen / pp. 53-61. doi:10.5047/aisi.009 --- Langmuir probe / Takumi Abe and Koh-ichiro Oyama / pp. 63-75. doi:10.5047/aisi.010 --- Rocket-borne Langmuir probe for plasma density irregularities / H. S. S. Sinha / pp. 77-90. doi:10.5047/aisi.011 --- Electron temperature probe / K.-I. Oyama and C. Z. Cheng / pp. 91-105. doi:10.5047/aisi.012 --- Impedance probe technique to detect the absolute number density of electrons on-board spacecraft / M. Wakabayashi, T. Suzuki, J. Uemoto, A. Kumamoto, and T. Ono / pp. 107-123. doi:10.5047/aisi.013 --- Resonance cone probe for measuring electron density, temperature, drift speed and beam components / A. Piel / pp. 125-138. doi:10.5047/aisi.014 --- Retarding Potential Analyzer (RPA) for Sounding Rocket / H. K. Fang and C. Z. Cheng / pp. 139-153. doi:10.5047/aisi.015 --- Electric field instrument onboard Japanese sounding rockets / K. Ishisaka / pp. 155-163. doi:10.5047/aisi.016 --- Magnetic Field Measurement (MFM) and Sun Aspect Sensor (SAS) / Takao Takahashi / pp. 165-179. doi:10.5047/aisi.017 --- Designing a toroidal top-hat energy analyzer for low-energy electron measurement / Y. Kazama / pp. 181-192. doi:10.5047/aisi.018 --- Low energy particle spectrometer for 3-axis stabilized spacecraft / Yoshifumi Saito / pp. 193-202. doi:10.5047/aisi.019 --- Imaging thermal ion mass and velocity analyzer / Andrew W. Yau, E. Peter King, Peter Amerl, Kaare Berg, Greg Enno, Andrew Howarth, Ivan Wevers, and Andrew White / pp. 203-215. doi:10.5047/aisi.020 --- Development of fluxgate magnetometers and applications to the space science missions / A. Matsuoka, M. Shinohara, Y.-M. Tanaka, A. Fujimoto, and K. Iguchi / pp. 217-225. doi:10.5047/aisi.021 --- Plasma wave receivears for scientific satellites / H. Kojima / pp. 227-237

Description / Table of Contents: Anode Materials, SEI, Carbon, Graphite, Conductivity, Graphene, Reversible, Formation / Pages 1-71 --- Cathode Materials, Samples, Pristine, Layered, Doping, Discharge Capacity / Pages 73-161 --- Ionic Conductivity, Polymer Electrolyte, Membranes, Electrochemical Stability, Separators / Pages 163-193 --- Models, SOC, Maximum, Time, Cell, Data, Parameters / Pages 195-247

Description / Table of Contents: Poblete, T.; Ortega-Farías, S.; Ryu, D. Automatic Coregistration Algorithm to Remove Canopy Shaded Pixels in UAV-Borne Thermal Images to Improve the Estimation of Crop Water Stress Index of a Drip-Irrigated Cabernet Sauvignon Vineyard. Sensors 2018, 18(2), 397; https://doi.org/10.3390/s18020397 --- Qu, Y.; Huang, J.; Zhang, X. Rapid 3D Reconstruction for Image Sequence Acquired from UAV Camera. Sensors 2018, 18(1), 225; https://doi.org/10.3390/s18010225 --- Ribeiro-Gomes, K.; Hernández-López, D.; Ortega, J.; Ballesteros, R.; Poblete, T.; Moreno, M. Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture. Sensors 2017, 17(10), 2173; https://doi.org/10.3390/s17102173 --- Ridolfi, E.; Buffi, G.; Venturi, S.; Manciola, P. Accuracy Analysis of a Dam Model from Drone Surveys. Sensors 2017, 17(8), 1777; https://doi.org/10.3390/s17081777 --- Rivas Casado, M.; González, R.; Ortega, J.; Leinster, P.; Wright, R. Towards a Transferable UAV-Based Framework for River Hydromorphological Characterization. Sensors 2017, 17(10), 2210; https://doi.org/10.3390/s17102210 --- Sandino, J.; Wooler, A.; Gonzalez, F. Towards the Automatic Detection of Pre-Existing Termite Mounds through UAS and Hyperspectral Imagery. Sensors 2017, 17(10), 2196; https://doi.org/10.3390/s17102196 --- Sandino, J.; Gonzalez, F.; Mengersen, K.; Gaston, K. UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands. Sensors 2018, 18(2), 605; https://doi.org/10.3390/s18020605 --- Sandino, J.; Pegg, G.; Gonzalez, F.; Smith, G. Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence. Sensors 2018, 18(4), 944; https://doi.org/10.3390/s18040944 --- Seo, S.; Choi, J.; Song, J. Secure Utilization of Beacons and UAVs in Emergency Response Systems for Building Fire Hazard. Sensors 2017, 17(10), 2200; https://doi.org/10.3390/s17102200 --- Shen, J.; Su, Y.; Liang, Q.; Zhu, X. Calculation and Identification of the Aerodynamic Parameters for Small-Scaled Fixed-Wing UAVs. Sensors 2018, 18(1), 206; https://doi.org/10.3390/s18010206 --- Sola-Guirado, R.; Castillo-Ruiz, F.; Jiménez-Jiménez, F.; Blanco-Roldan, G.; Castro-Garcia, S.; Gil-Ribes, J. Olive Actual “on Year” Yield Forecast Tool Based on the Tree Canopy Geometry Using UAS Imagery. Sensors 2017, 17(8), 1743; https://doi.org/10.3390/s17081743 --- Torres-Rua, A. Vicarious Calibration of sUAS Microbolometer Temperature Imagery for Estimation of Radiometric Land Surface Temperature. Sensors 2017, 17(7), 1499; https://doi.org/10.3390/s17071499 --- Uddin, M.; Mansour, A.; Jeune, D.; Ayaz, M.; Aggoune, e. UAV-Assisted Dynamic Clustering of Wireless Sensor Networks for Crop Health Monitoring. Sensors 2018, 18(2), 555; https://doi.org/10.3390/s18020555 --- Vanegas, F.; Bratanov, D.; Powell, K.; Weiss, J.; Gonzalez, F. A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data. Sensors 2018, 18(1), 260; https://doi.org/10.3390/s18010260 --- Wang, X.; Jiang, P.; Li, D.; Sun, T. Curvature Continuous and Bounded Path Planning for Fixed-Wing UAVs. Sensors 2017, 17(9), 2155; https://doi.org/10.3390/s17092155 --- Zhao, Y.; Ma, J.; Li, X.; Zhang, J. Saliency Detection and Deep Learning-Based Wildfire Identification in UAV Imagery. Sensors 2018, 18(3), 712; https://doi.org/10.3390/s18030712 --- Zheng, H.; Bai, T.; Wang, Q.; Cao, F.; Shao, L.; Sun, Z. Experimental Study of Multispectral Characteristics of an Unmanned Aerial Vehicle at Different Observation Angles. Sensors 2018, 18(2), 428; https://doi.org/10.3390/s18020428 --- Zhong, J.; Lei, T.; Yao, G. Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks. Sensors 2017, 17(12), 2720; https://doi.org/10.3390/s17122720

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: 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.