Publication Type: Conference Paper
Authors: N. Leisso, T. Goulden
Source: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), (2017)
Keywords: Airborne remote sensing, NEON, remote sensing, Vegetation mapping, Reflectivity, spectrometers, optical radar, remote sensing by laser beam, NEON's airborne remote sensing instrumentation, illumination conditions, National Ecological Observatory Network remote sensing component, collecting high resolution, spectrometer data, waveform lidar data, high-resolution digital camera data, NEON sites, utilized imaging spectrometer, desired remote sensing data, optimal weather conditions, sub-optimal weather, derived data products, well-characterized test site, solar illumination geometries, cloud loading, airborne data, nominal NEON workflow, Observatories, Meteorology, Nickel, Clouds, ecological change, calibration, sensitivity
The National Ecological Observatory Network (NEON) remote sensing component is tasked with collecting high resolution imaging spectrometer data, discrete and waveform lidar data, and high-resolution digital camera data of the NEON sites at or near peak greenness. Due to the passive nature of the utilized imaging spectrometer and digital camera, it is of paramount important to collect the desired remote sensing data under optimal weather conditions. To better understand the impact of sub-optimal weather on the derived data products, a series of test flights were conducted over a well-characterized test site near Boulder, Colorado under a variety of solar illumination geometries and cloud loading. The airborne data was processed through the nominal NEON workflow and compared to in-situ data collected of various reflectance targets. The results and challenges in comparison of the results are discussed.