TY - GEN
T1 - Thermal Radiation Dynamics of Soil Surfaces with Unmanned Aerial Systems
AU - González, Othón
AU - Lizarraga, Mariano I.
AU - Karaman, Sertac
AU - Salas, Joaquín
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Thermographies are a source of abundant and rapid information, valuable in precision agriculture tasks such as crop stress assessment, plant disease analysis, and soil moisture evaluation. Traditionally, practitioners obtain soil temperature directly from the ground or using satellites and other airborne methods, which are costly and have a low spatial and temporal resolution. In this paper, we introduce a method for short term tracking of thermal radiance inertia with the use of an unmanned aerial system (UAS). In our approach, we retro-project the spatial reconstruction obtained with structure from motion (SfM) to estimate the thermal radiation corresponding to three-dimensional structures. Then, we register the resulting orthomosaics using a pyramidal scheme. We use the first cloud of points as the fixed reference as new orthomosaics become available. Finally, we estimate the dynamics of the thermal radiation using the difference of the registered orthomosaic radiation intensity measurements.
AB - Thermographies are a source of abundant and rapid information, valuable in precision agriculture tasks such as crop stress assessment, plant disease analysis, and soil moisture evaluation. Traditionally, practitioners obtain soil temperature directly from the ground or using satellites and other airborne methods, which are costly and have a low spatial and temporal resolution. In this paper, we introduce a method for short term tracking of thermal radiance inertia with the use of an unmanned aerial system (UAS). In our approach, we retro-project the spatial reconstruction obtained with structure from motion (SfM) to estimate the thermal radiation corresponding to three-dimensional structures. Then, we register the resulting orthomosaics using a pyramidal scheme. We use the first cloud of points as the fixed reference as new orthomosaics become available. Finally, we estimate the dynamics of the thermal radiation using the difference of the registered orthomosaic radiation intensity measurements.
KW - Remote sensing
KW - Soil surface temperature
KW - Thermographic imaging
KW - Unmanned aerial systems
UR - http://www.scopus.com/inward/record.url?scp=85068335454&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-21077-9_17
DO - 10.1007/978-3-030-21077-9_17
M3 - Contribución a la conferencia
AN - SCOPUS:85068335454
SN - 9783030210762
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 183
EP - 192
BT - Pattern Recognition - 11th Mexican Conference, MCPR 2019, Proceedings
A2 - Carrasco-Ochoa, Jesús Ariel
A2 - Martínez-Trinidad, José Francisco
A2 - Olvera-López, José Arturo
A2 - Salas, Joaquín
PB - Springer Verlag
T2 - 11th Mexican Conference on Pattern Recognition, MCPR 2019
Y2 - 26 June 2019 through 29 June 2019
ER -