Vai al contenuto principale della pagina
| Autore: |
Colpaert Alfred
|
| Titolo: |
Satellite and UAV Platforms, Remote Sensing for Geographic Information Systems
|
| Pubblicazione: | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica: | 1 online resource (224 p.) |
| Soggetto topico: | Geography |
| Research & information: general | |
| Soggetto non controllato: | ArcGIS |
| assimilation | |
| big data | |
| blueberries | |
| chemical wastewater pollution | |
| climate change | |
| CMEMS GlobColour CHL-OC5 | |
| constrained multiple objective optimization | |
| crop growth | |
| crop growth stage | |
| crop model | |
| D-LinkNet | |
| deep learning | |
| drivers of deforestation | |
| ecological status | |
| eutrophication | |
| evergreen plants | |
| extreme events | |
| flavonol and chlorophyll sensor (Dualex) | |
| GNSS stations | |
| greening and browning | |
| greenness indices | |
| HAPS | |
| image analysis | |
| ITRF | |
| ITRF2014 | |
| LAGEOS | |
| Lake Ladoga | |
| land degradation | |
| Love/Shida numbers | |
| Mann-Kendall | |
| method combinations | |
| MODIS | |
| monitoring | |
| mosaicking | |
| mosses | |
| Mount Stromlo station | |
| n/a | |
| near-remote sensing active and passive NDVI sensors | |
| orthomosaics | |
| phytoplankton and chlorophyll-a | |
| pulp and paper mill | |
| reflectance saturation | |
| remote sensing | |
| satellite laser ranging (SLR) | |
| seamline determination | |
| segmentation refinement | |
| Sentinel-2 | |
| sentinel-2A image | |
| SLR stations coordinates | |
| soil salinity | |
| STARLETTE satellites | |
| STELLA | |
| subarctic vegetation damage | |
| tectonic plate motion parameters | |
| temporal hierarchical task planning | |
| TSS-RESTREND | |
| UAV | |
| UAV image | |
| UAVs | |
| urban image | |
| vegetation cover change | |
| vegetation monitoring | |
| water quality assessment | |
| wildlife management | |
| Yarragadee station | |
| Zambezi region | |
| 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 |