In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …

In addition to single-angle reflectance data, multi-angular observations can be used as an
additional information source for the retrieval of properties of an observed target surface. In …

Multi-and hyperspectral cameras on drones can be valuable tools in environmental
monitoring. A significant shortcoming complicating their usage in quantitative remote …

UAS-based remote sensing has been rapidly growing in numerous fields, including
agriculture and environmental studies. However, the lack of a practical and reliable …

Hyperspectral remote sensing is currently underutilized in urban environments due to
significant barriers concerning the existence, availability, and quality of urban hyperspectral …

Near-earth hyperspectral big data present both huge opportunities and challenges for
spurring developments in agriculture and high-throughput plant phenoty** and breeding …

Accurately modeling snow reflectance is one way to improve satellite observations in the
high-latitude regions. Snow surfaces are known to be challenging for atmospheric retrievals …

This paper describes a method for retrieving the bidirectional reflectance factor (BRF) of land-
surface areas, using a small consumer camera on board an unmanned aerial vehicle (UAV) …

Viewing and illumination geometry has a strong influence on optical measurements of
natural surfaces due to their anisotropic reflectance properties. Typically, cameras on-board …

In order to quantify the effects of absorbing contaminants on snow, a series of spectral
reflectance measurements were conducted. Chimney soot, volcanic sand, and glaciogenic …