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Autore: | Colpaert Alfred |
Titolo: | Satellite and UAV Platforms, Remote Sensing for Geographic Information Systems |
Pubblicazione: | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica: | 1 electronic resource (224 p.) |
Soggetto topico: | Research & information: general |
Geography | |
Soggetto non controllato: | mosaicking |
urban image | |
seamline determination | |
deep learning | |
D-LinkNet | |
climate change | |
evergreen plants | |
extreme events | |
flavonol and chlorophyll sensor (Dualex) | |
greenness indices | |
mosses | |
near-remote sensing active and passive NDVI sensors | |
Sentinel-2 | |
subarctic vegetation damage | |
crop growth | |
reflectance saturation | |
crop model | |
assimilation | |
crop growth stage | |
method combinations | |
sentinel-2A image | |
UAV image | |
remote sensing | |
soil salinity | |
Love/Shida numbers | |
satellite laser ranging (SLR) | |
Yarragadee station | |
Mount Stromlo station | |
LAGEOS | |
STELLA | |
STARLETTE satellites | |
SLR stations coordinates | |
ITRF2014 | |
Lake Ladoga | |
CMEMS GlobColour CHL-OC5 | |
eutrophication | |
water quality assessment | |
pulp and paper mill | |
ecological status | |
phytoplankton and chlorophyll-a | |
chemical wastewater pollution | |
ArcGIS | |
big data | |
blueberries | |
image analysis | |
orthomosaics | |
segmentation refinement | |
UAVs | |
HAPS | |
UAV | |
monitoring | |
constrained multiple objective optimization | |
temporal hierarchical task planning | |
GNSS stations | |
tectonic plate motion parameters | |
ITRF | |
vegetation monitoring | |
drivers of deforestation | |
Zambezi region | |
land degradation | |
vegetation cover change | |
wildlife management | |
TSS-RESTREND | |
greening and browning | |
MODIS | |
Mann-Kendall | |
Persona (resp. second.): | ColpaertAlfred |
Sommario/riassunto: | The present book contains ten articles illustrating the different possible uses of UAVs and satellite remotely sensed data integration in Geographical Information Systems to model and predict changes in both the natural and the human environment. It illustrates the powerful instruments given by modern geo-statistical methods, modeling, and visualization techniques. These methods are applied to Arctic, tropical and mid-latitude environments, agriculture, forest, wetlands, and aquatic environments, as well as further engineering-related problems. The present Special Issue gives a balanced view of the present state of the field of geoinformatics. |
Titolo autorizzato: | Satellite and UAV Platforms, Remote Sensing for Geographic Information Systems |
ISBN: | 3-0365-5362-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910619470703321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |