|
|
|
|
LEADER |
06054nma a2201669 u 4500 |
001 |
EB002173097 |
003 |
EBX01000000000000001310874 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
230811 ||| eng |
020 |
|
|
|a books978-3-0365-7419-6
|
020 |
|
|
|a 9783036574189
|
020 |
|
|
|a 9783036574196
|
100 |
1 |
|
|a Jawak, Shridhar
|
245 |
0 |
0 |
|a Earth Observation (EO), Remote Sensing (RS), and Geoinformation (GI) Applications in Svalbard
|h Elektronische Ressource
|
260 |
|
|
|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
|
300 |
|
|
|a 1 electronic resource (510 p.)
|
653 |
|
|
|a time series analysis
|
653 |
|
|
|a disturbance
|
653 |
|
|
|a svalbard
|
653 |
|
|
|a snow modelling
|
653 |
|
|
|a Sentinel-1 and Sentinel-2
|
653 |
|
|
|a polar regions
|
653 |
|
|
|a Fram Strait
|
653 |
|
|
|a sediment plumes
|
653 |
|
|
|a displacement progression
|
653 |
|
|
|a riverine inputs
|
653 |
|
|
|a ocean colour
|
653 |
|
|
|a cirrus clouds
|
653 |
|
|
|a laser altimetry
|
653 |
|
|
|a pixel-based image analysis
|
653 |
|
|
|a WorldView-2
|
653 |
|
|
|a InSAR
|
653 |
|
|
|a water temperature
|
653 |
|
|
|a land-ocean-interaction
|
653 |
|
|
|a earth observation
|
653 |
|
|
|a classifier
|
653 |
|
|
|a target detection
|
653 |
|
|
|a lake ice
|
653 |
|
|
|a kinematic GPS experiments
|
653 |
|
|
|a coastal ecosystems
|
653 |
|
|
|a grubbing
|
653 |
|
|
|a Research & information: general / bicssc
|
653 |
|
|
|a ICESat-2
|
653 |
|
|
|a snow cover
|
653 |
|
|
|a glacier geometry
|
653 |
|
|
|a winter climate effect
|
653 |
|
|
|a onset of growth
|
653 |
|
|
|a Arctic
|
653 |
|
|
|a surge glaciers
|
653 |
|
|
|a structure-from-motion
|
653 |
|
|
|a Arctic Ocean
|
653 |
|
|
|a ice cover
|
653 |
|
|
|a thaw progression
|
653 |
|
|
|a aerosol optical properties
|
653 |
|
|
|a glacier facies
|
653 |
|
|
|a SPM
|
653 |
|
|
|a Greenland Sea
|
653 |
|
|
|a SIOS
|
653 |
|
|
|a aerosol radiative effect
|
653 |
|
|
|a Geography / bicssc
|
653 |
|
|
|a Arctic radiative budget
|
653 |
|
|
|a sea ice
|
653 |
|
|
|a ecological monitoring
|
653 |
|
|
|a MODIS
|
653 |
|
|
|a aged aerosol
|
653 |
|
|
|a Arctic aerosol
|
653 |
|
|
|a tundra
|
653 |
|
|
|a NDVI
|
653 |
|
|
|a spectral reflectance
|
653 |
|
|
|a marginal ice zone
|
653 |
|
|
|a geographic object-based image analysis
|
653 |
|
|
|a Arctic coast
|
653 |
|
|
|a earth system science
|
653 |
|
|
|a Sentinel-2
|
653 |
|
|
|a vegetation growth
|
653 |
|
|
|a surface facies of glaciers
|
653 |
|
|
|a surface elevation changes
|
653 |
|
|
|a ocean eddies
|
653 |
|
|
|a random forest
|
653 |
|
|
|a Hopen Island
|
653 |
|
|
|a Antarctic
|
653 |
|
|
|a time-series
|
653 |
|
|
|a n/a
|
653 |
|
|
|a atmospheric correction
|
653 |
|
|
|a arctic climate change
|
653 |
|
|
|a permafrost
|
653 |
|
|
|a aerosol modification
|
653 |
|
|
|a SAR imaging
|
653 |
|
|
|a atmospheric corrections
|
653 |
|
|
|a time series
|
653 |
|
|
|a digital elevation model
|
653 |
|
|
|a lidar
|
653 |
|
|
|a aerosol transport
|
653 |
|
|
|a image processing routines
|
653 |
|
|
|a regional tuning
|
653 |
|
|
|a hyperspectral data
|
653 |
|
|
|a aerosol remote sensing
|
653 |
|
|
|a COVID-19
|
653 |
|
|
|a GLCM
|
653 |
|
|
|a pansharpening
|
653 |
|
|
|a glacier surface facies
|
653 |
|
|
|a snow melt
|
653 |
|
|
|a Chandra-Bhaga basin
|
653 |
|
|
|a Arctic clouds
|
653 |
|
|
|a tidewater glaciers
|
653 |
|
|
|a plant phenology
|
653 |
|
|
|a ground temperature
|
653 |
|
|
|a ground displacement
|
653 |
|
|
|a glaciology
|
653 |
|
|
|a coastal darkening
|
653 |
|
|
|a sea ice variability
|
653 |
|
|
|a terrestrial laser scanning
|
653 |
|
|
|a remote sensing
|
653 |
|
|
|a drone
|
653 |
|
|
|a Sentinel-1
|
653 |
|
|
|a aerosol microphysical properties
|
653 |
|
|
|a airborne validation of satellite data
|
653 |
|
|
|a microphysical inversion
|
653 |
|
|
|a active layer
|
653 |
|
|
|a ice clouds
|
653 |
|
|
|a Ny-Ålesund
|
653 |
|
|
|a Svalbard
|
653 |
|
|
|a density dimension algorithm for ice surfaces
|
653 |
|
|
|a herbivore
|
653 |
|
|
|a supervised classification
|
700 |
1 |
|
|a Kääb, Andreas
|
700 |
1 |
|
|a Pohjola, Veijo
|
700 |
1 |
|
|a Enomoto, Hiroyuki
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
024 |
8 |
|
|a 10.3390/books978-3-0365-7419-6
|
856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/7268
|7 0
|x Verlag
|3 Volltext
|
856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/100805
|z DOAB: description of the publication
|
082 |
0 |
|
|a 000
|
082 |
0 |
|
|a 551.6
|
082 |
0 |
|
|a 580
|
082 |
0 |
|
|a 320
|
082 |
0 |
|
|a 380
|
082 |
0 |
|
|a 700
|
520 |
|
|
|a Earth observation (EO), remote sensing (RS), and geoinformation (GI) technologies play a critical role in the study of Svalbard's environment, providing insights into the region's changes and supporting decision-making processes. This reprint presents a comprehensive overview of the applications of EO and RS technologies in Svalbard, covering a wide range of topics related to the environment. It includes contributions from leading experts in the field, providing insights into the current state of the art and future directions for research. The reprint starts by introducing the status of EO and RS in Svalbard, providing a solid foundation for readers new to the field. It then delves into specific applications of these technologies, including the monitoring of glaciers, snow cover, and permafrost using ground-, space-, and air-based RS platforms. Overall, this book aims to provide a comprehensive overview of the applications of EO and RS technologies in Svalbard, highlighting their importance in understanding and addressing the challenges faced by the region. It will be a valuable resource for researchers, students, policymakers, and practitioners in the fields of environmental science, geography, and remote sensing.
|