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Estimation Of Surface Thermal Emissivity In A Vineyard For Uav Microbolometer Thermal Cameras Using Nasa Hytes Hyperspectral Thermal, And Landsat And Aggieair Optical Data, Alfonso F. Torres-Rua, Mahyar Aboutalebi, Timothy Wright, Ayman Nassar, Pierre Guillevic, Lawrence Hipps, Feng Gao, Kevin Jim, Maria Mar Alsina, Calvin Coopmans, Mac Mckee, William Kustas
Estimation Of Surface Thermal Emissivity In A Vineyard For Uav Microbolometer Thermal Cameras Using Nasa Hytes Hyperspectral Thermal, And Landsat And Aggieair Optical Data, Alfonso F. Torres-Rua, Mahyar Aboutalebi, Timothy Wright, Ayman Nassar, Pierre Guillevic, Lawrence Hipps, Feng Gao, Kevin Jim, Maria Mar Alsina, Calvin Coopmans, Mac Mckee, William Kustas
AggieAir Publications
Microbolometer thermal cameras in UAVs and manned aircraft allow for the acquisition of highresolution temperature data, which, along with optical reflectance, contributes to monitoring and modeling of agricultural and natural environments. Furthermore, these temperature measurements have facilitated the development of advanced models of crop water stress and evapotranspiration in precision agriculture and heat fluxes exchanges in small river streams and corridors. Microbolometer cameras capture thermal information at blackbody or radiometric settings (narrowband emissivity equates to unity). While it is customary that the modeler uses assumed emissivity values (e.g. 0.99– 0.96 for agricultural and environmental settings); some applications (e.g. Vegetation Health …
Validation Of Digital Surface Models (Dsms) Retrieved From Unmanned Aerial Vehicle (Uav) Point Clouds Using Geometrical Information From Shadows, Mahyar Aboutalebi, Alfonso F. Torres-Rua, Mac Mckee, William Kustas, Héctor Nieto, Calvin Coopmans
Validation Of Digital Surface Models (Dsms) Retrieved From Unmanned Aerial Vehicle (Uav) Point Clouds Using Geometrical Information From Shadows, Mahyar Aboutalebi, Alfonso F. Torres-Rua, Mac Mckee, William Kustas, Héctor Nieto, Calvin Coopmans
AggieAir Publications
Theoretically, the appearance of shadows in aerial imagery is not desirable for researchers because it leads to errors in object classification and bias in the calculation of indices. In contrast, shadows contain useful geometrical information about the objects blocking the light. Several studies have focused on estimation of building heights in urban areas using the length of shadows. This type of information can be used to predict the population of a region, water demand, etc., in urban areas. With the emergence of unmanned aerial vehicles (UAVs) and the availability of high- to super-high-resolution imagery, the important questions relating to shadows …