The dataset consists of hyperspectral imagery acquired during airplane overflights on 5th May 2014 that contain 242 spectral bands, ranging from VIS to SWIR (423 - 2438 nm) wavelength regions. It covers an area of about 116 km² which is dominated by spruce and beech forests. The flight campaign was part of several campaigns aiming at the creation of a multitemporal hyperspectral data set of the newly founded National Park Hunsrück-Hochwald in Rhineland Palatinate, Germany.
The dataset contains hyperspectral imagery acquired during airplane overflights on 3rd July 2014 consisting of 242 spectral bands, ranging from VIS to SWIR (423 - 2438 nm) wavelength regions. It covers an area of about 78 km² which is dominated by beech and oak forests. The flight campaign was part of several flight campaigns within the EnMAP project and focused on hyperspectral analysis of plant physiology in deciduous forests in the Donnersberg region in Rhineland-Palatinate, Germany.
The dataset contains hyperspectral imagery acquired during airplane overflights on 8th September 2016 consisting of 242 spectral bands, ranging from VIS to SWIR (423 - 2438 nm) wavelength regions. It covers an area of about 78 km² which is dominated by beech and oak forests. The flight campaign was part of several flight campaigns within the EnMAP project and focused on hyperspectral analysis of plant physiology in deciduous and coniferous forests in the Gerolstein region in Rhineland-Palatinate, Germany.
The described dataset resulted from a joint multidisciplinary measurement campaign in an agroforestry system in the Western Cape region in South Africa. Five participating institutions measured a range of environmental variables to characterise the influence of windbreak trees onto water fluxes, nutrient distribution and microclimate in the adjacent blackberry field. The dataset contains spatially collected soil characteristics, a soil profile description, time series of meteorological measurements as well as soil moisture and matric potential, information on soil hydraulic properties of the soil determined in the laboratory and windbreak characteristics and shape from a point cloud derived from terrestrial LiDAR scanning.