Low-altitude remote sensing (RS) using unmanned aerial vehicles (UAVs) is a powerful tool
in precision agriculture (PA). In that context, thermal RS has many potential uses. The …

Thermal infrared (TIR) multi-/hyperspectral and sun-induced fluorescence (SIF) approaches
together with classic solar-reflective (visible, near-, and shortwave infrared reflectance …

Land Surface Temperature (LST) is an important parameter for many scientific disciplines
since it affects the interaction between the land and the atmosphere. Many LST retrieval …

Thermal sensors onboard Landsat satellites have been underutilized due to the lack of
consistent and accurate methodologies for retrieving the land surface temperature (LST) at …

Thermal remote sensing has been used over urban areas to assess the urban heat island, to
perform land cover classifications and as input for models of urban surface atmosphere …

As an intrinsic property of natural materials, land surface emissivity (LSE) is an important
surface parameter and can be derived from the emitted radiance measured from space …

Many papers have developed algorithms to retrieve land surface temperature from at‐
sensor and land surface emissivity data. These algorithms have been specified for different …

Currently, the world is facing high competition and market risks in improving yield, crop
illness, and crop water stress. This could potentially be addressed by technological …

Remote sensing provides a means of observing hydrological state variables over large
areas. The ones which we will consider in this paper are land surface temperature from …

Most algorithms for land surface temperature (LST) retrieval depend on acquiring prior
knowledge. To overcome this drawback, we propose a novel LST retrieval method based on …