Estimation of vegetation functioning in a drought episode from optical and thermal remote sensing

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Abstract

Accurate estimation of vegetation functioning, i.e. canopy photosynthesis [gross primary production (GPP)] and evapotranspiration (ET) in a drought episode is of great importance. We investigated the capability of Landsat (TM5 and ETM7) optical/thermal observations for estimating daily GPP and ET of annual C3 grasses at a Fluxnet site (US-Var) during the 2004 prolonged drought episode in California. Vegetation properties information [notably Leaf Area Index (LAI), leaf chlorophyll content (Cab), leaf water content (Cw), leaf dry matter content (Cdm), the leaf inclination distribution function (LIDF) and the senescent material content (Cs)] obtained by inversion of the optical radiative transfer routines of the Soil-Canopy-Observation of Photosynthesis and Energy fluxes (SCOPE) model, RTMo, against the optical bands of Landsat.The values of the maximum carboxylation capacity (Vcmax), the Ball-Berry stomatal conductance parameter (m) and soil resistances (rss and rbs) were obtained by inversion of the energy balance and thermal radiative transfer routines of SCOPE, RTMt, against the thermal band of Landsat. Finally, the retrieved parameters were linearly interpolated over time and used together with half-hourly meteorological variables in the SCOPE model to estimate time series of daily GPP and ET. The results demonstrate that estimates of daily GPP and ET during a drought episode can be improved considerably by exploiting the information contained in both the optical and thermal domain together.
Original languageEnglish
Title of host publication IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
PublisherIEEE
Pages7652-7655
Number of pages4
ISBN (Electronic) 978-1-5386-7150-4
DOIs
Publication statusPublished - 5 Nov 2018
Event38th IEEE International Geoscience and Remote Sensing Symposium 2018: Observing, Understanding and Forcasting the Dynamics of Our Planet - Feria Valencia Convention & Exhibition Center, Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38
https://www.igarss2018.org/

Conference

Conference38th IEEE International Geoscience and Remote Sensing Symposium 2018
Abbreviated titleIGARSS 2018
CountrySpain
CityValencia
Period22/07/1827/07/18
Internet address

Fingerprint

primary production
evapotranspiration
photosynthesis
energy flux
drought
canopy
Landsat
remote sensing
vegetation
radiative transfer
soil
stomatal conductance
leaf area index
energy balance
dry matter
chlorophyll
water content
grass
time series
inversion

Cite this

Bayat, B., van der Tol, C., & Verhoef, W. (2018). Estimation of vegetation functioning in a drought episode from optical and thermal remote sensing. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 7652-7655). IEEE. https://doi.org/10.1109/IGARSS.2018.8518309
Bayat, B. ; van der Tol, C. ; Verhoef, W. / Estimation of vegetation functioning in a drought episode from optical and thermal remote sensing. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. pp. 7652-7655
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Bayat, B, van der Tol, C & Verhoef, W 2018, Estimation of vegetation functioning in a drought episode from optical and thermal remote sensing. in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, pp. 7652-7655, 38th IEEE International Geoscience and Remote Sensing Symposium 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8518309

Estimation of vegetation functioning in a drought episode from optical and thermal remote sensing. / Bayat, B.; van der Tol, C.; Verhoef, W.

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. p. 7652-7655.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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BT - IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

ER -

Bayat B, van der Tol C, Verhoef W. Estimation of vegetation functioning in a drought episode from optical and thermal remote sensing. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE. 2018. p. 7652-7655 https://doi.org/10.1109/IGARSS.2018.8518309