-
Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS
-
Remote sensing of Land Surface Temperature (LST) generally requires atmospheric parameters and the emissivity (∊) of the target to be estimated. The atmospheric up- and downwelling radiances and transmittance can be accurately modelled using radiative transfer models and profiles of relative humidity and temperature, either measured by radiosonde probes or retrieved from assimilating weather models. The estimation of ∊ is a large source of uncertainty in the resulting LST product, and there are various approaches using multi-angle observations, multispectral optical or multispectral thermal infrared imagery. In this paper, the estimation of LST from the Thermal InfraRed Sensor (TIRS) on board Landsat 8 is evaluated using more than 6 years of in situ temperature measurements from a network of 14 Autonomous Weather Stations (AWS) in Belgium. ∊ is estimated from concomitant atmospherically corrected imagery from the Operational Land Imager (OLI) using two new neural network approaches trained on ECOSTRESS spectra, and an established NDVI based method. Results are compared to using ∊=1 and the ASTER Global Emissivity Dataset. LST retrievals from L8/TIRS perform well for all emissivity data sources for 500 matchups with AWS subsoil temperature measurements: Mean Differences 0.8–3.7 K and unbiased Root Mean Squared Differences of 2.9–3.5 K for both B10 and B11. The use of unity emissivity gives the best results in terms of MD (0.8 K) and unb-RMSD (3 K). Similar ranges of unb-RMSD are found for 500 matchups with broadband radiometer temperatures (2.6–3.1 K), that have lower absolute MD values (−2.2–0.6 K). For the radiometer temperatures, both the neural net approaches gave lowest MD, in the best case ±0.1 K. The present investigation can hence recommend the neural nets to derive ∊ for the retrieval of LST over the AWS in Belgium. Using published matchup results from other authors however, no single source of ∊ data performed better than ∊=1, but this could be due to their low number of matchups. Further efforts for estimating representative pixel average emissivities are needed, and establishing a denser in situ measurement network over varied land use, with rather homogeneous land cover within a TIRS pixel, may aid further validation of a per pixel and per scene ∊ estimates from multispectral imagery. AWS data seems valuable for evaluation of satellite LST, with the advantage of a much lower cost and higher potential matchup density compared to conventional radiometers.
Located in
Library
/
RBINS Staff Publications 2020
-
Comparative anatomy and taxonomy of Onchidium vaigiense (Gastropoda: Pulmonata: Onchidiidae)
-
Located in
Library
/
RBINS Staff Publications
-
Comparative Anatomy of Mandibular Neurovascular Canals in Modern Human and Great Apes: A Pilot Study With Cone Beam Computed Tomography
-
The aim of the present study was to compare mandibular neurovascular canal anatomy in human and great apes by using cone beam computed tomography (CBCT). The anatomical variability of mandibular neurovascular canals (mandibular, incisive and lingual canals) of 129 modern humans and great apes (Homo, Pan and Gorilla) were analyzed by linear measurements on CBCT images. The Kruskal-Wallis non-parametric test and Dunn’s all pairs for joint ranks were applied to compare the variability of mandibular canals among these groups. Human, Chimpanzee and Gorilla groups showed significant differences in the dimensions of the mandibular canal, mental foramen, incisive canal, lingual canal and anterior mandibular bone width. Bifid mandibular canals and anterior loops were the anatomical variations most frequently observed in the Gorilla. Humans had a larger mental foramen and a distinctive incisive canal. The latter could not be identified in the Gorilla group. The variability in the anatomy within mandibles of human and non-human primates, shows different forms in the neurovascular structures. In comparison to the mandible of great apes, the incisive canal is suggested to be a feature unique to the human mandible.
Located in
Library
/
RBINS Staff Publications 2018
-
Comparative ultrastructure of the spermatogenesis of three species of Poecilosclerida (Porifera, Demospongiae)
-
Located in
Library
/
RBINS Staff Publications 2019
-
Comparing 3D digitizing technologies: what are the differences?
-
We tested five 3D digitization systems and one method of 2D+ recording on one object: a human skull from the Royal Belgian Institute of Natural Sciences collection (RBINS). We chose a skull because it has both simple and complex structures and different materials such as bone and enamel within the same object. The results obtained with the different technologies were compared for 3D shape accuracy, texture quality, digitization and processing time and finally price. Our results show that the structured light scanner provided the best results to record external structures, CT was found to be the best to record internal structures and is also the best for recording reflecting material such as enamel. Photogrammetry is a very good compromise between portability, price and quality. RTI is a method of 2D+ recording and is a complementary technique, using the same equipment than photogrammetry, which can capture small morphological.
Located in
Library
/
RBINS Staff Publications
-
Comparing Gravettian and Epigravettian canids from Europe with Late Pleistocene canids from Yakutia
-
Located in
Library
/
RBINS Staff Publications 2016
-
Complément à l’étude du sous-genre Chelorhinella De Palma & Franz, 2010 (Coleoptera, Cetoniidae, Cetoniinae, Goliathini)
-
Located in
Library
/
RBINS collections by external author(s)
-
Complementary contribution to the study of the entomological fauna of Borneo island with the description of a new subspecies in the genus Aegosoma Audinet-Serville, 1832 (Coleoptera, Cerambycidae, Prioninae)
-
Located in
Library
/
RBINS Staff Publications 2021
-
Compléments à l’étude des otolithes de poissons rupeliens d’Aquitaine méridionale (Sud ouest de la France).
-
Located in
Library
/
RBINS Staff Publications
-
Complete Mitochondrial Genomes of Ancient Canids Suggest a European Origin of Domestic Dogs
-
The geographic and temporal origins of the domestic dog remain controversial, as genetic data suggest a domestication process in East Asia beginning 15,000 years ago, whereas the oldest doglike fossils are found in Europe and Siberia and date to >30,000 years ago. We analyzed the mitochondrial genomes of 18 prehistoric canids from Eurasia and the New World, along with a comprehensive panel of modern dogs and wolves. Themitochondrial genomes of all modern dogs are phylogeneticallymost closely related to either ancient or modern canids of Europe. Molecular dating suggests an onset of domestication there 18,800 to 32,100 years ago. These findings imply that domestic dogs are the culmination of a process that initiated with European hunter-gatherers and the canids with whom they interacted.
Located in
Library
/
RBINS Staff Publications