Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model

Thomas Hilker, Lênio Soares Galvão, Luiz E.O.C. Aragão, Yhasmin M. de Moura, Cibele H. do Amaral, Alexei I. Lyapustin, Jin Wu, Loren P. Albert, Marciel José Ferreira, Liana O. Anderson, Victor A.H.F. dos Santos, Neill Prohaska, Edgard Tribuzy, João Vitor Barbosa Ceron, Scott Saleska, Yujie Wang, José Francisco de Carvalho Gonçalves, Raimundo Cosme de Oliveira Junior, João Victor Figueiredo Cardoso Rodrigues, Maquelle Neves Garcia

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

As a preparatory study for future hyperspectral missions that can measure canopy chemistry, we introduce a novel approach to investigate whether multi-angle Moderate Resolution Imaging Spectroradiometer (MODIS) data can be used to generate a preliminary database with long-term estimates of chlorophyll. MODIS monthly chlorophyll estimates between 2000 and 2015, derived from a fully coupled canopy reflectance model (ProSAIL), were inspected for consistency with eddy covariance fluxes, tower-based hyperspectral images and chlorophyll measurements. MODIS chlorophyll estimates from the inverse model showed strong seasonal variations across two flux-tower sites in central and eastern Amazon. Marked increases in chlorophyll concentrations were observed during the early dry season. Remotely sensed chlorophyll concentrations were correlated to field measurements (r 2 = 0.73 and r 2 = 0.98) but the data deviated from the 1:1 line with root mean square errors (RMSE) ranging from 0.355 μg cm −2 (Tapajós tower) to 0.470 μg cm −2 (Manaus tower). The chlorophyll estimates were consistent with flux tower measurements of photosynthetically active radiation (PAR) and net ecosystem productivity (NEP). We also applied ProSAIL to mono-angle hyperspectral observations from a camera installed on a tower to scale modeled chlorophyll pigments to MODIS observations (r 2 = 0.73). Chlorophyll pigment concentrations (Chl A+B ) were correlated to changes in the amount of young and mature leaf area per month (0.59 ≤ r 2 ≤ 0.64). Increases in MODIS observed Chl A+B were preceded by increased PAR during the dry season (0.61 ≤ r 2 ≤ 0.62) and followed by changes in net carbon uptake. We conclude that, at these two sites, changes in LAI, coupled with changes in leaf chlorophyll, are comparable with seasonality of plant productivity. Our results allowed the preliminary development of a 15-year time series of chlorophyll estimates over the Amazon to support canopy chemistry studies using future hyperspectral sensors.

Original languageEnglish (US)
Pages (from-to)278-287
Number of pages10
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume58
DOIs
StatePublished - Jun 1 2017

Fingerprint

canopy reflectance
Chlorophyll
MODIS
chlorophyll
Imaging techniques
vegetation
Towers
photosynthetically active radiation
Fluxes
Pigments
dry season
pigment
Productivity
canopy
Radiation
productivity
eddy covariance
leaf area index
Mean square error
Ecosystems

Keywords

  • Amazon
  • Chlorophyll
  • Hyperspectral
  • MODIS
  • Multi-angular
  • Phenology
  • ProSAIL

ASJC Scopus subject areas

  • Global and Planetary Change
  • Earth-Surface Processes
  • Computers in Earth Sciences
  • Management, Monitoring, Policy and Law

Cite this

Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model. / Hilker, Thomas; Galvão, Lênio Soares; Aragão, Luiz E.O.C.; de Moura, Yhasmin M.; do Amaral, Cibele H.; Lyapustin, Alexei I.; Wu, Jin; Albert, Loren P.; Ferreira, Marciel José; Anderson, Liana O.; dos Santos, Victor A.H.F.; Prohaska, Neill; Tribuzy, Edgard; Barbosa Ceron, João Vitor; Saleska, Scott; Wang, Yujie; de Carvalho Gonçalves, José Francisco; de Oliveira Junior, Raimundo Cosme; Cardoso Rodrigues, João Victor Figueiredo; Garcia, Maquelle Neves.

In: International Journal of Applied Earth Observation and Geoinformation, Vol. 58, 01.06.2017, p. 278-287.

Research output: Contribution to journalArticle

Hilker, T, Galvão, LS, Aragão, LEOC, de Moura, YM, do Amaral, CH, Lyapustin, AI, Wu, J, Albert, LP, Ferreira, MJ, Anderson, LO, dos Santos, VAHF, Prohaska, N, Tribuzy, E, Barbosa Ceron, JV, Saleska, S, Wang, Y, de Carvalho Gonçalves, JF, de Oliveira Junior, RC, Cardoso Rodrigues, JVF & Garcia, MN 2017, 'Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model', International Journal of Applied Earth Observation and Geoinformation, vol. 58, pp. 278-287. https://doi.org/10.1016/j.jag.2017.01.014
Hilker, Thomas ; Galvão, Lênio Soares ; Aragão, Luiz E.O.C. ; de Moura, Yhasmin M. ; do Amaral, Cibele H. ; Lyapustin, Alexei I. ; Wu, Jin ; Albert, Loren P. ; Ferreira, Marciel José ; Anderson, Liana O. ; dos Santos, Victor A.H.F. ; Prohaska, Neill ; Tribuzy, Edgard ; Barbosa Ceron, João Vitor ; Saleska, Scott ; Wang, Yujie ; de Carvalho Gonçalves, José Francisco ; de Oliveira Junior, Raimundo Cosme ; Cardoso Rodrigues, João Victor Figueiredo ; Garcia, Maquelle Neves. / Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model. In: International Journal of Applied Earth Observation and Geoinformation. 2017 ; Vol. 58. pp. 278-287.
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T1 - Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model

AU - Hilker, Thomas

AU - Galvão, Lênio Soares

AU - Aragão, Luiz E.O.C.

AU - de Moura, Yhasmin M.

AU - do Amaral, Cibele H.

AU - Lyapustin, Alexei I.

AU - Wu, Jin

AU - Albert, Loren P.

AU - Ferreira, Marciel José

AU - Anderson, Liana O.

AU - dos Santos, Victor A.H.F.

AU - Prohaska, Neill

AU - Tribuzy, Edgard

AU - Barbosa Ceron, João Vitor

AU - Saleska, Scott

AU - Wang, Yujie

AU - de Carvalho Gonçalves, José Francisco

AU - de Oliveira Junior, Raimundo Cosme

AU - Cardoso Rodrigues, João Victor Figueiredo

AU - Garcia, Maquelle Neves

PY - 2017/6/1

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N2 - As a preparatory study for future hyperspectral missions that can measure canopy chemistry, we introduce a novel approach to investigate whether multi-angle Moderate Resolution Imaging Spectroradiometer (MODIS) data can be used to generate a preliminary database with long-term estimates of chlorophyll. MODIS monthly chlorophyll estimates between 2000 and 2015, derived from a fully coupled canopy reflectance model (ProSAIL), were inspected for consistency with eddy covariance fluxes, tower-based hyperspectral images and chlorophyll measurements. MODIS chlorophyll estimates from the inverse model showed strong seasonal variations across two flux-tower sites in central and eastern Amazon. Marked increases in chlorophyll concentrations were observed during the early dry season. Remotely sensed chlorophyll concentrations were correlated to field measurements (r 2 = 0.73 and r 2 = 0.98) but the data deviated from the 1:1 line with root mean square errors (RMSE) ranging from 0.355 μg cm −2 (Tapajós tower) to 0.470 μg cm −2 (Manaus tower). The chlorophyll estimates were consistent with flux tower measurements of photosynthetically active radiation (PAR) and net ecosystem productivity (NEP). We also applied ProSAIL to mono-angle hyperspectral observations from a camera installed on a tower to scale modeled chlorophyll pigments to MODIS observations (r 2 = 0.73). Chlorophyll pigment concentrations (Chl A+B ) were correlated to changes in the amount of young and mature leaf area per month (0.59 ≤ r 2 ≤ 0.64). Increases in MODIS observed Chl A+B were preceded by increased PAR during the dry season (0.61 ≤ r 2 ≤ 0.62) and followed by changes in net carbon uptake. We conclude that, at these two sites, changes in LAI, coupled with changes in leaf chlorophyll, are comparable with seasonality of plant productivity. Our results allowed the preliminary development of a 15-year time series of chlorophyll estimates over the Amazon to support canopy chemistry studies using future hyperspectral sensors.

AB - As a preparatory study for future hyperspectral missions that can measure canopy chemistry, we introduce a novel approach to investigate whether multi-angle Moderate Resolution Imaging Spectroradiometer (MODIS) data can be used to generate a preliminary database with long-term estimates of chlorophyll. MODIS monthly chlorophyll estimates between 2000 and 2015, derived from a fully coupled canopy reflectance model (ProSAIL), were inspected for consistency with eddy covariance fluxes, tower-based hyperspectral images and chlorophyll measurements. MODIS chlorophyll estimates from the inverse model showed strong seasonal variations across two flux-tower sites in central and eastern Amazon. Marked increases in chlorophyll concentrations were observed during the early dry season. Remotely sensed chlorophyll concentrations were correlated to field measurements (r 2 = 0.73 and r 2 = 0.98) but the data deviated from the 1:1 line with root mean square errors (RMSE) ranging from 0.355 μg cm −2 (Tapajós tower) to 0.470 μg cm −2 (Manaus tower). The chlorophyll estimates were consistent with flux tower measurements of photosynthetically active radiation (PAR) and net ecosystem productivity (NEP). We also applied ProSAIL to mono-angle hyperspectral observations from a camera installed on a tower to scale modeled chlorophyll pigments to MODIS observations (r 2 = 0.73). Chlorophyll pigment concentrations (Chl A+B ) were correlated to changes in the amount of young and mature leaf area per month (0.59 ≤ r 2 ≤ 0.64). Increases in MODIS observed Chl A+B were preceded by increased PAR during the dry season (0.61 ≤ r 2 ≤ 0.62) and followed by changes in net carbon uptake. We conclude that, at these two sites, changes in LAI, coupled with changes in leaf chlorophyll, are comparable with seasonality of plant productivity. Our results allowed the preliminary development of a 15-year time series of chlorophyll estimates over the Amazon to support canopy chemistry studies using future hyperspectral sensors.

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KW - Chlorophyll

KW - Hyperspectral

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KW - Multi-angular

KW - Phenology

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