The BACI Surface State Vector (SSV) dataset for the Kruger National Park track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.

This dataset contains LiDAR and aerial photograph data for the Sabie, Olifants and Letaba rivers in the Kruger National Park, South Africa. The LiDAR and aerial photograph data were collected for the NERC funded project (NE/K001132/1) 'Evaluating and modelling the impact of extreme events on South African dryland rivers: Cyclone Dando (January 2012)'. Southern Mapping Geospatial were commissioned in South Africa to undertake the LiDAR flights for the NERC-funded project. Processed data of point cloud, processed contours, and aerial image files were provided. Data were retrieved using an Optech Orion M200 LiDAR which scanned the ground at 70 kHz, and a Rollei AIC with 60 megapixel P65+ and Phase One digital CCD, flown at 1100m from a Cessna 206. The survey concentrated on three 50 km reaches of the Olifants, Sabie and Letaba rivers surveyed on 30th May 2012, nearly 5 months after a large Cyclone driven flood in January 2012. The folders include: 1) Index - contains a .dgn file to position data in ArcMap, 2) Points - contains sub-folders with the raw LiDAR point cloud data; ground points and vegetation at different heights indicated by the folder label 3) Report - summary report provided by Southern mapping who we commissioned to fly the LiDAR 4) Contour data in dgn and dwg format, 5) Image tiles