Toolik Lake Research Natural Area AISA-Eagle hyperspectral Mosiac

• Main Authors: Beamish, Alison, Chabrillat, Sabine, Brell, Maximilian, Heim, Birgit, Sachs, Torsten
• Other Authors: Förster, Saskia, Elger, Kirsten
• Format: Dataset
• Language: English
• Published: GFZ Data Services 2020
• Subjects: aisaEagle; Arctic tundra; Hyperspectral Imagery; Plant Species; species composition; phenology; photosynthetic pigments; EARTH SCIENCE > BIOSPHERE > VEGETATION; biosphere > ecology > ecosystem type > terrestrial ecosystem > polar ecosystem > Arctic ecosystem; land > natural area > terrestrial area > tundra; land > world > Americas > North America; Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Hyperspectral Spectrometers/Radiometers; Arctic; Alfred Wegener Institute; Tundra
• Online Access: https://doi.org/10.5880/enmap.2020.001

Abstract The dataset is composed of aisaEagel hyperspectral imagery acquired during airplane overflights on August 27th, 2016 within the Toolik Lake Natural Research Area on the Alaskan North Slope. The dataset includes three flight lines with 130 spectral bands ranging from VIS to NIR (451.7 – 897 nm) wavelength regions. The dataset also includes Level 2A EnMAP-like imagery simulated using the end-to-end Simulation tool (EeteS) with 78 bands from VIS to NIR (423 – 903 mn). The overall goal of the campaign was to acquire imagery over the Toolik Vegetation grid encompassing 94 permanent 1 x 1 m vegetation plots where corresponding, comprehensive multi-seasonal spectral reflectance, photosynthetic pigment, and detailed species composition data exists. The data are highly novel and can be used form vegetation mapping of species composition and activity. Methods Hyperspectral imagery was acquired during a flight campaign operated by the Alfred Wegener Institute using a Specim imaging spectrometer aisaEAGLE on board the Polar 5 Basler BT-67 aircraft. The overflight encompassed an area of approximately 700 ha. The data are available radiometrically corrected using sensor specific software of the instrument manufacturer (Richter and Schläpfer, 2012) and atmospherically corrected using ATCOR4. The direct geometric correction was performed using the manufacturer software with the simultaneously measured IMU/GPS data stream. Simulated EnMAP data were generated using the EnMAP end-to-end simulation software (Segl et al., 2012). Other The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights