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Palabras clave – provistas por la editorial

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