Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Research & information: general --- Geography --- 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 --- n/a --- Mann-Kendall

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The aim of the Special Issue “Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences” was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three decades, which have brought the capacity of HSI to provide spectrally, spatially and temporally detailed data, favoured by e.g., hyperspectral snapshot technologies, miniaturized hyperspectral sensors and hyperspectral microscopy imaging. The present book comprises a suite of papers in various fields of environmental sciences—geology/mineral exploration, digital soil mapping, mapping and characterization of vegetation, and sensing of water bodies (including under-ice and underwater applications). In addition, there are two rather methodically/technically-oriented contributions dealing with the optimized processing of UAV data and on the design and test of a multi-channel optical receiver for ground-based applications. All in all, this compilation documents that HSI is a multi-faceted research topic and will remain so in the future.

Research & information: general --- hyperspectral --- topographic correction --- atmospheric correction --- radiometric correction --- long-range --- long-distance --- Structure from Motion (SfM) --- photogrammetry --- mineral mapping --- minimum wavelength mapping --- Maarmorilik --- Riotinto --- Hyperspectral image --- bio-optical algorithm --- phycocyanin --- chlorophyll-a --- mangrove species classification --- close-range hyperspectral imaging --- field hyperspectral measurement --- waveband selection --- machine learning --- instrument development --- spectroradiometry --- telescope --- receiver --- soil --- soil salinity --- unmanned aerial vehicle --- hyperspectral imager --- random forest regression --- electromagnetic induction --- hyperspectral imaging --- tree species --- multiple classifier fusion --- convolutional neural network --- random forest --- rotation forest --- sea ice --- ice algae --- biomass --- fine-scale --- under-ice --- underwater --- antarctica --- structure from motion --- georectification --- mosaicking --- push-broom --- UAV --- chlorophyll a --- colored dissolved organic matter --- in situ measurements --- vertical distribution --- water column --- snapshot hyperspectral imaging --- n/a