Journal article
Plant species' spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor
Remote sensing of environment, Vol.224, pp.421-435
04/2019
DOI: 10.1016/j.rse.2019.02.009
Abstract
The thermal domain (TIR; 2.5–15 μm) delivers unique measurements of plant characteristics that are not possible in other parts of the electromagnetic spectrum. However, these TIR measurements have largely been restricted to laboratory leaf level or coarse spatial resolutions due to the lack of suitable data from airborne and spaceborne instruments. The airborne Hyperspectral Thermal Emission Spectrometer (HyTES) provides an opportunity to retrieve high spectral resolution emissivity and land surface temperature (LST) that can be exploited for canopy level vegetation research. This study is a high spatial resolution analysis of plant species' emissivity and LST using HyTES imagery acquired in the Huntington Botanical Gardens on 2014 July 5 and 2016 Jan 25. Leaf and canopy emissivity variation was identified among 24 plant species and used to determine leaf to canopy scaling capabilities. HyTES LST patterns among species and dates were quantified and correlated to LiDAR derived tree canopy attributes. At the leaf scale, one third of the species showed distinct spectral separation from other species. However, at the canopy scale most species were not spectrally separable. Random forest classification demonstrates the high level of confusion between species with overall accuracies <40%. LST data, derived from TIR measurements, showed that species exhibited significantly different distributions between dates and species. These distributions were largely explained by canopy structure (e.g. tree height and canopy density) and composition of neighboring pixels (e.g. presence of pavement versus trees). While species do not exhibit unique emissivity signatures at the canopy level, the LST variation among species provides a stronger understanding of LST variability in coarser resolution TIR imagery. This study represents the analysis of vegetation characteristics using the NASA's HyTES TIR sensor, opening the door for future remote sensing vegetation studies that include using the recently launched ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission.
•Used HyTES to retrieve canopy high spectral emissivity and temperature.•One third of species showed distinct spectral separation with leaf emissivity.•The majority of species were not spectrally separable with canopy emissivity.•Canopy temperature was significantly different between dates and species.•Temperature patterns linked to canopy structure and neighbors derived from LiDAR.
Details
- Title: Subtitle
- Plant species' spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor
- Creators
- Susan Meerdink - University of FloridaDar Roberts - University of California, Santa BarbaraGlynn Hulley - Jet Propulsion LaboratoryPaul Gader - University of FloridaJan Pisek - University of TartuKairi Adamson - University of TartuJennifer King - University of California, Santa BarbaraSimon J Hook - Jet Propulsion Laboratory
- Resource Type
- Journal article
- Publication Details
- Remote sensing of environment, Vol.224, pp.421-435
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.rse.2019.02.009
- ISSN
- 0034-4257
- eISSN
- 1879-0704
- Grant note
- DOI: 10.13039/501100002301, name: Estonian Research Council, award: PUT1355; name: Mobilitas Pluss
- Language
- English
- Date published
- 04/2019
- Academic Unit
- Geographical and Sustainability Sciences
- Record Identifier
- 9984259389202771
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