Field Measurements of Plant Emissivity Spectra: An Experimental Study on Remote Sensing of Vegetation in the Thermal Infrared Region

Pandya, Mehul R.; Shah, Dipti; Trivedi, Himanshu J.; Lunagaria, M. M.; Pandey, Vivek; Panigrahy, Sushma; Parihar, J. S.

doi:10.1007/s12524-013-0283-2

Cited by 18 publications

(7 citation statements)

References 13 publications

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“…The six vegetated land cover types in Table were composited from 14 original IGBP land cover types and their BBE values at 8–13.5 μm. The leaf emissivity was taken from the ASTER spectral library, the MODIS spectral library, and the measurements of Pandya et al (), Li et al (), and Luz and Crowley (). We averaged the emissivity spectra from different sources for the composited IGBP forest, grassland, and cropland classes and then calculated the corresponding BBEs.…”

Section: Methodsmentioning

confidence: 99%

A Framework for Estimating the 30 m Thermal‐Infrared Broadband Emissivity From Landsat Surface Reflectance Data

et al. 2017

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The land surface thermal‐infrared broadband emissivity (BBE) is a vital variable for estimating land surface radiation budgets (SRBs). We develop a framework for retrieving the 30 m BBE from Landsat surface reflectance data to estimate SRBs at finer scales and validate coarse resolution data. In the developed framework, the land surface is classified as bare soils and vegetated surfaces to allow different algorithms to be used for the BBE estimation. We propose a downscaling algorithm that uses the empirical relationship between the Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) BBE and Landsat surface reflectance at 90 m to retrieve the 30 m BBE over bare soils. A look‐up table (LUT)‐based algorithm is proposed for vegetated surfaces. The BBE is interpolated from a LUT that is constructed from the 4SAIL radiative transfer model with inputs of the leaf BBE, the soil background BBE, and the leaf area index (LAI). Ground measurements that were collected at 11 relatively homogeneous sandy sites during three independent field campaigns are used to validate the proposed algorithm over bare soils. The average difference between the retrieved and field‐measured BBEs is 0.012. We produce the land surface BBE of China in 2008 by using the developed framework and composited winter and summer seasonal BBE maps. The composited seasonal BBE maps are compared to the seasonal BBE maps derived from the ASTER emissivity product. The bias is within ±0.005 over bare soils and ranges from 0.012 to 0.019 over vegetated surfaces. Combined with the validated results in this study and published references, the comparison results demonstrate the good performance of the developed framework. This study provides a new perspective on estimating BBEs from sensors with only a thermal‐infrared channel.

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Section: Methodsmentioning

confidence: 99%

A Framework for Estimating the 30 m Thermal‐Infrared Broadband Emissivity From Landsat Surface Reflectance Data

et al. 2017

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“…Leaf temperature was recorded immediately before watering (i.e. pre-rewatering) and then five minutes, thirty minutes, and six hours post-watering using the FLIR TG165 Imaging Infrared Thermometer and Thermal Camera with an emissivity setting of 0.95 (Pandya et al, 2013).…”

Section: Phenotypic Measurementsmentioning

confidence: 99%

Repeated and Prolonged Drought Exposure Reveals Contrasting Hydraulic Management Strategies Used by Tolerant and Sensitive Genotypes of Sorghum bicolor

Lehrer

Hawkins

2022

Preprint

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Climate change-induced variations in temperature and precipitation negatively impact plant growth and development. To ensure future food quality and availability, a critical need exists to identify phenotypic and physiological responses that confer drought tolerance in agronomically important crop plants. In this study, two Sorghum bicolor accessions that differ in their pre-flowering responses to drought were exposed to cycles of drying and rewatering. Morphological, physiological, and histological traits were measured across juvenile and adult developmental stages. Our results suggest that induction of stomatal closure works to prevent hydraulic damage under drought conditions, particularly when morphological and histological adjustments are unable to compensate for this hydraulic risk. These findings demonstrate that morphology, histology, and physiology may work independently over developmental time to achieve a shared goal of regulating transpirational water loss to mitigate the risk of xylem embolism.

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“…Intriguingly, however, the data from more diverse taxa do not indicate substantially more variation than we found here in relation to leaf development. Crops in Spain (López et al, 2012) and India (Pandya et al, 2013) have been shown to have leaf ϵ that ranges from 0.95 to 0.98. Arp & Phinney (1980) measured branch-level ϵ of a wide variety of plants in a wide range of ecosystem types (from cloud Ó 2020 The Authors New Phytologist Ó 2020 New Phytologist Trust www.newphytologist.com forest to desert) in the USA and Mexico, and reported that ϵ of desert plants (0.981 AE 0.011, mean AE 1 SD) was somewhat higher than that of rainforest (0.962 AE 0.020) or temperate (0.977 AE 0.012) plants.…”

Section: Variation In Leaf Emissivitymentioning

confidence: 99%

Developmental changes in the reflectance spectra of temperate deciduous tree leaves and implications for thermal emissivity and leaf temperature

et al. 2020

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• Leaf optical properties impact leaf energy balance and thus leaf temperature. The effect of leaf development on mid-infrared (MIR) reflectance, and hence thermal emissivity, has not been investigated in detail. • We measured a suite of morphological characteristics, as well as directional-hemispherical reflectance from ultraviolet to thermal infrared wavelengths (250 nm to 20 µm), of leaves from five temperate deciduous tree species over the 8 weeks following spring leaf emergence. • In contrast to reflectance at shorter wavelengths, the shape and magnitude of MIR reflectance spectra changed markedly with development. MIR spectral differences among species became more pronounced and unique as leaves matured. Comparison of reflectance spectra of intact vs. dried and ground leaves points to cuticular development-and not internal structural or biochemical changes-as the main driving factor. Accompanying the observed spectral changes was a drop in thermal emissivity from about 0.99 to 0.95 over the eight weeks following leaf emergence. • Emissivity changes were not large enough to substantially influence leaf temperature, but they could potentially lead to a bias in radiometrically-measured temperature of up to 3 K. Our results also point to the potential for using MIR spectroscopy to better understand specieslevel differences in cuticular development and composition.

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Field Measurements of Plant Emissivity Spectra: An Experimental Study on Remote Sensing of Vegetation in the Thermal Infrared Region

Cited by 18 publications

References 13 publications

A Framework for Estimating the 30 m Thermal‐Infrared Broadband Emissivity From Landsat Surface Reflectance Data

A Framework for Estimating the 30 m Thermal‐Infrared Broadband Emissivity From Landsat Surface Reflectance Data

Repeated and Prolonged Drought Exposure Reveals Contrasting Hydraulic Management Strategies Used by Tolerant and Sensitive Genotypes of Sorghum bicolor

Developmental changes in the reflectance spectra of temperate deciduous tree leaves and implications for thermal emissivity and leaf temperature

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