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Landsat satellites --- Astronautics in earth sciences --- LANDSAT (Satellites de télédétection) --- Handbooks, manuals, etc.

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City planning --- Spatial analysis (Statistics) --- Landsat satellites --- Urbanisme --- Analyse spatiale (Statistique) --- LANDSAT (Satellites de télédétection) --- Remote sensing --- Télédétection --- 528.8 --- Remote sensing. Teledetection --- 528.8 Remote sensing. Teledetection --- LANDSAT (Satellites de télédétection) --- Télédétection --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- Satellites, Landsat --- Scientific satellites --- Cities and towns --- Civic planning --- Land use, Urban --- Model cities --- Redevelopment, Urban --- Slum clearance --- Town planning --- Urban design --- Urban development --- Urban planning --- Land use --- Planning --- Art, Municipal --- Civic improvement --- Regional planning --- Urban policy --- Urban renewal --- Government policy --- Management --- Remote sensing.

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This Special Issue (SI), entitled "Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass”, resulted from 13 peer-reviewed papers dedicated to Forestry and Biomass mapping, characterization and accounting. The papers' authors presented improvements in Remote Sensing processing techniques on satellite images, drone-acquired images and LiDAR images, both aerial and terrestrial. Regarding the images’ classification models, all authors presented supervised methods, such as Random Forest, complemented by GIS routines and biophysical variables measured on the field, which were properly georeferenced. The achieved results enable the statement that remote imagery could be successfully used as a data source for regression analysis and formulation and, in this way, used in forestry actions such as canopy structure analysis and mapping, or to estimate biomass. This collection of papers, presented in the form of a book, brings together 13 articles covering various forest issues and issues in forest biomass calculation, constituting an important work manual for those who use mixed GIS and RS techniques.

Research & information: general --- Geography --- AGB estimation and mapping --- mangroves --- UAV LiDAR --- WorldView-2 --- terrestrial laser scanning --- above-ground biomass --- nondestructive method --- DBH --- bark roughness --- Landsat dataset --- forest AGC estimation --- random forest --- spatiotemporal evolution --- aboveground biomass --- variable selection --- forest type --- machine learning --- subtropical forests --- Landsat 8 OLI --- seasonal images --- stepwise regression --- map quality --- subtropical forest --- urban vegetation --- biomass estimation --- Sentinel-2A --- Xuzhou --- forest biomass estimation --- forest inventory data --- multisource remote sensing --- biomass density --- ecosystem services --- trade-off --- synergy --- multiple ES interactions --- valley basin --- norway spruce --- LiDAR --- allometric equation --- individual tree detection --- tree height --- diameter at breast height --- GEOMON --- ALOS-2 L band SAR --- Sentinel-1 C band SAR --- Sentinel-2 MSI --- ALOS DSM --- stand volume --- support vector machine for regression --- ordinary kriging --- forest succession --- leaf area index --- plant area index --- machine learning algorithms --- forest growing stock volume --- SPOT6 imagery --- Pinus massoniana plantations --- sentinel 2 --- landsat --- remote sensing --- GIS --- shrubs biomass --- bioenergy --- vegetation indices

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Remote sensing plays a pivotal role in understanding where and how floods and glacier geohazards occur; their severity, causes and types; and the risk that they may pose to populations, activities and properties. By providing a spectrum of imaging capabilities, resolutions and temporal and spatial coverage, remote sensing data acquired from satellite, aerial and ground-based platforms provide key geo-information to characterize and model these processes. This book includes research papers on novel technologies (e.g., sensors, platforms), data (e.g., multi-spectral, radar, laser scanning, GPS, gravity) and analysis methods (e.g., change detection, offset tracking, structure from motion, 3D modeling, radar interferometry, automated classification, machine learning, spectral indices, probabilistic approaches) for flood and glacier imaging. Through target applications and case studies distributed globally, these articles contribute to the discussion on the current potential and limitations of remote sensing in this specialist research field, as well as the identification of trends and future perspectives.

Research & information: general --- glacier surge --- glacier collapse --- rock-slope instability --- hazard --- Landsat --- Sentinel 2 --- Tibet --- flood extent mapping --- supervised classification --- NDWI --- synthetic aperture radar (SAR) --- web application --- synthetic aperture radar --- offset tracking --- displacements --- Sentinel-1 --- glacier monitoring --- flood mapping --- damage assessment --- SAR image --- Landsat-8 --- Google Earth Engine --- GEE --- Bangladesh --- SAR intensity time series --- urban flood mapping --- double bounce effect --- Hurricane Matthew --- flood --- FPI --- GRACE --- terrestrial water storage anomaly --- storage deficit --- mass balance --- snow depth --- glacier retreat --- surface DEM --- elevation change --- Sentinel --- Secchi disk --- chlorophyll a --- sediments --- phytoplankton --- floods --- remote sensing --- GIS --- disaster mapping --- Lower Chenab Plain --- laserscanning --- UAV—structure from Motion --- multi-spectral satellite data --- synthetic Aperture Radar --- glacier lake evolution --- glacier river --- slope processes --- rock fall --- cryosphere --- fusion --- inundation probability --- Hurricane Harvey --- ADCIRC --- n/a --- UAV-structure from Motion

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Numerous studies indicate an accelerated growth of forest trees, induced by ongoing climate change. Similar trends were recently found for urban trees in major cities worldwide. Studies frequently report about substantial effects of climate change and the urban heat island effect (UHI) on plant growth. The combined effects of increasing temperatures, changing precipitation patterns, and extended growing season lengths, in addition to increasing nitrogen deposition and higher CO2 concentrations, can increase but also reduce plant growth. Closely related to this, the multiple functions and services provided by urban trees may be modified. Urban trees generate numerous ecosystem services, including carbon storage, mitigation of the heat island effect, reduction of rainwater runoff, pollutant filtering, recreation effects, shading, and cooling. The quantity of the ecosystem services is often closely associated with the species, structure, age, and size of the tree as well as with a tree’s vitality. Therefore, greening cities, and particularly planting trees, seems to be an effective option to mitigate climate change and the UHI. The focus of this Special Issue is to underline the importance of trees as part of the urban green areas for major cities in all climate zones. Empirical as well as modeling studies of urban tree growth and their services and disservices in cities worldwide are included. Articles about the dynamics, structures, and functions of urban trees as well as the influence of climate and climate change on urban tree growth, urban species composition, carbon storage, and biodiversity are also discussed.

green spaces --- urban heat island --- Landsat TM --- human health --- root:shoot ratio --- choice experiment --- urban trees --- BVOC emission --- climate change --- urbanity --- urbanization --- sustainability --- drought stress --- ecosystem disservices --- tree growth --- Greenway --- oxides --- hot arid urban climate --- carbon sequestration --- abundance --- landscape planning --- bud break --- urban microclimate --- tree competition --- urban forest --- allergenic potential --- sampling plots --- climate change implications --- ecosystem modeling --- preferences --- urban parks --- basal area --- urban tree growth --- air pollution removal --- environmental quality --- species richness --- surface temperature --- drought --- growing season --- air pollution --- ecosystem services --- biomass allocation