We used the processing software developed by Gamma Remote Sensing (https://www.gamma-rs.ch), and the basebanding of band-passed SLC was performed by our originally developed code.
HANTS (Harmonic Analysis of NDVI Time-Series) is a commonly used tool to smooth time-series remote sensing data (http://www.un-spider.org/links-andresources/gis-rs-software/hants%C2%A0harmonic%C2%A0analysis-of%C2%A0time%C2%A0series-nlrgdsc).
The first step involved the acquisition of upward-looking hemispherical images using a digital camera equipped with a fisheye lens, with the camera held at one meter above ground and sampling points within a plot set up to match the sampling scheme of Validation of Land European Remote Sensing Instruments (http://w3.avignon.inra.fr/valeri/).inra.fr/valeri/
For the calculation of the depth of the DSL, monthly composites of diffuse attenuation coefficient at 490 nm (Kd490) from two satellites (MODIS-Aqua and SeaWifs) were processed through NASA's Giovanni remote sensing data tool (http://disc.sci.gsfc.nasa.gov/giovanni/) for the area of the SOFA.
Topic pages can be used, for example, as tutorial articles describing how laboratory techniques or computational tools work, to discuss the definition and proper use of volcanological terms, or to describe and discuss volcanological concepts (an example focusing on volcano remote sensing capabilities is https://vhub.org/topics/SatelliteMonitoring).
Maps were created using C and Datamaps (https://github.com/ericfischer/datamaps), and the remote sensing images were derived from Baidu Maps.
The remote sensing data were acquired from the USGS website (http://www.earthexplorer.usgs.gov).gov
These data can be sourced from a multitude of independent remote sensing instruments and their derived products such as http://www.geo-wiki.org[12], as well as from in situ data (primarily forest inventories) and possibly biophysical ecosystem models.
These data can be sourced from a multitude of independent remote sensing instruments and their derived products such as http://www.geo-wiki.org[ 12], as well as from in situ data (primarily forest inventories) and possibly biophysical ecosystem models.
Data from existing regulatory monitors and remote sensing data (e.g., from the Tropospheric Emission Monitoring Internet Service; http://www.temis.nl/) will be used to inform ambient spatial exposure models.
