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Anpassungsrelevante Klimaänderungen für städtische Baustrukturen und Wohnquartiere

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Book Series: Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie ISSN: 01795619 ISBN: 9783731507710 Year: Volume: 77 Pages: XI, 305 p. DOI: 10.5445/KSP/1000080685 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Astronomy (General)
Added to DOAB on : 2019-07-28 18:37:01
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The influence of climate change on urban heat island intensity is analyzed for the city of Karlsruhe, southwestern Germany. First, its present diurnal and seasonal as well as spatial modes of variability are characterized by means of different meteorological observation datasets. One focus is on temperature differences during heat events. Second, high-resolution regional climate model data allow for projecting the future development of the urban heat island.

Urban Overheating - Progress on Mitigation Science and Engineering Applications

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ISBN: 9783038976363 Year: Pages: 350 DOI: 10.3390/books978-3-03897-637-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Meteorology and Climatology --- Science (General)
Added to DOAB on : 2019-04-05 10:34:31
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The combination of global warming and urban sprawl is the origin of the most hazardous climate change effect detected at urban level: Urban Heat Island, representing the urban overheating respect to the countryside surrounding the city. This book includes 18 papers representing the state of the art of detection, assessment mitigation and adaption to urban overheating. Advanced methods, strategies and technologies are here analyzed including relevant issues as: the role of urban materials and fabrics on urban climate and their potential mitigation, the impact of greenery and vegetation to reduce urban temperatures and improve the thermal comfort, the role the urban geometry in the air temperature rise, the use of satellite and ground data to assess and quantify the urban overheating and develop mitigation solutions, calculation methods and application to predict and assess mitigation scenarios. The outcomes of the book are thus relevant for a wide multidisciplinary audience, including: environmental scientists and engineers, architect and urban planners, policy makers and students.

Keywords

heat health --- meteorological modeling --- urban climate --- urban-climate archipelago --- urban heat island --- urban heat island index --- Weather Research and Forecasting model (WRF) --- green area --- built-up area --- air temperature --- measurement --- calculation --- urbanization --- air and surface temperature measurements --- outdoor thermal comfort --- urban heat island --- surface cool island effect --- urban overheating --- urban microclimate --- mitigation strategies --- urban development --- park cool island --- urban cooling --- urban morphology --- micro-climate simulations --- ageing --- emissivity --- measurement --- solar reflectance --- solar reflectance index --- thermal emittance --- urban heat island --- land surface temperature --- “hot spots” --- “cold spots” --- MODIS downscaling --- overheating --- summer heat stress --- urban open space --- shading --- thermal comfort --- Physiologically Equivalent Temperature --- mitigation strategies --- cooling technologies --- cool materials --- WRF-Chem --- urban climate --- air quality --- urban heat island --- surface albedo --- climatic perception --- urban areas --- thermal comfort --- subtropical climate --- cool pavements --- road lighting --- urban heat island --- road surface --- material characterization --- luminance coefficient --- energy savings --- Euramet --- EMPIR 16NRM02 --- building energy performance --- energy simulation --- building retrofit --- multi-objective optimization --- genetic algorithm --- urban overheating --- cost-optimal analysis --- lifecycle analysis --- office buildings --- sustainability --- air temperature --- spectral analysis --- multifractal analysis --- structure functions analysis --- cool roofs --- fine-resolution meteorological modeling --- mobile temperature observations --- urban climate archipelago --- urban heat island --- urban vegetation --- urbanized WRF --- Weather Research and Forecasting model --- multiple linear regression --- urban heat island --- urban climatology --- urban energy balance --- air temperature --- land cover fraction --- urban morphology --- land surface temperature --- heat stress --- urban heat mitigation --- albedo --- cool facades --- spectral reflectance --- urban remote sensing --- empirical line method --- building scale --- local climate zone --- urban climate --- sky view factor --- morphological indicator --- open science --- GIS --- urban heat island --- urban overheating --- non-constructible parcels --- cool surfaces --- urban vegetation --- ENVI-met --- mitigation measures --- Beirut

Google Earth Engine Applications

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ISBN: 9783038978848 9783038978855 Year: Pages: 420 DOI: 10.3390/books978-3-03897-885-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Environmental Technology
Added to DOAB on : 2019-04-25 16:37:17
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In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.

Keywords

Google Earth Engine --- NDVI --- vegetation index --- Landsat --- remote sensing --- phenology --- surface reflectance --- cropland mapping --- cropland areas --- 30-m --- Landsat-8 --- Sentinel-2 --- Random Forest --- Support Vector Machines --- segmentation --- RHSeg --- Google Earth Engine --- Africa --- remote sensing --- semi-arid --- ecosystem assessment --- land use change --- image classification --- seasonal vegetation --- carbon cycle --- Google Earth Engine --- crop yield --- gross primary productivity (GPP) --- data fusion --- Landsat --- MODIS --- MODIS --- Random Forest --- pasture mapping --- Brazilian pasturelands dynamics --- Google Earth Engine --- crop classification --- multi-classifier --- cloud computing --- time series --- high spatial resolution --- BACI --- Enhanced Vegetation Index --- Google Earth Engine --- cloud-based geo-processing --- satellite-derived bathymetry --- image composition --- pseudo-invariant features --- sun glint correction --- empirical --- spatial error --- Google Earth Engine --- low cost in situ --- Sentinel-2 --- Mediterranean --- burn severity --- change detection --- Landsat --- dNBR --- RdNBR --- RBR --- composite burn index (CBI) --- MTBS --- lower mekong basin --- landsat collection --- suspended sediment concentration --- online application --- google earth engine --- Landsat --- Google Earth Engine --- protected area --- forest and land use mapping --- machine learning classification --- China --- temporal compositing --- image time series --- multitemporal analysis --- change detection --- cloud masking --- Landsat-8 --- Google Earth Engine (GEE) --- Google Earth Engine --- LAI --- FVC --- FAPAR --- CWC --- plant traits --- random forests --- PROSAIL --- small-scale mining --- industrial mining --- google engine --- image classification --- land-use cover change --- seagrass --- habitat mapping --- image composition --- machine learning --- support vector machines --- Google Earth Engine --- Sentinel-2 --- Aegean --- Ionian --- global scale --- soil moisture --- Soil Moisture Ocean Salinity --- Soil Moisture Active Passive --- Google Earth Engine --- drought --- cloud computing --- remote sensing --- snow hydrology --- water resources --- Google Earth Engine --- user assessment --- MODIS --- snow cover --- flood --- disaster prevention --- emergency response --- decision making --- Google Earth Engine --- land cover --- deforestation --- Brazilian Amazon --- Bayesian statistics --- BULC-U --- Mato Grosso --- spatial resolution --- Landsat --- GlobCover --- SDG --- surface urban heat island --- Geo Big Data --- Google Earth Engine --- global monitoring service --- Google Earth Engine --- web portal --- satellite imagery --- trends --- earth observation --- wetland --- Google Earth Engine --- Sentinel-1 --- Sentinel-2 --- random forest --- cloud computing --- geo-big data --- cloud computing --- big data analytics --- long term monitoring --- data archival --- early warning systems

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