Multiscale analysis and validation of the MODIS LAI product

I. Uncertainty assessment

Yuhong Tian, Curtis E. Woodcock, Yujie Wang, Jeff L. Privette, Nikolay V. Shabanov, Liming Zhou, Yu Zhang, Wolfgang Buermann, Jiarui Dong, Brita Veikkanen, Tuomas Häme, Kaj Andersson, Mutlu Ozdogan, Yuri Knyazikhin, Ranga B. Myneni

Research output: Contribution to journalArticleScientificpeer-review

158 Citations (Scopus)

Abstract

The development of appropriate ground-based validation techniques is critical to assessing uncertainties associated with satellite data-based products. Here we present a method for validation of the Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) product with emphasis on the sampling strategy for field data collection.
This paper, the first of two-part series, details the procedures used to assess uncertainty of the MODIS LAI product. LAI retrievals from 30 m ETM+ data were first compared to field measurements from the SAFARI 2000 wet season campaign. The ETM+ based LAI map was thus as a reference to specify uncertainties in the LAI fields produced from MODIS data (250-, 500-, and 1000-m resolutions) simulated from ETM+. Because of high variance of LAI measurements over short distances and difficulties of matching measurements and image data, a patch-by-patch comparison method, which is more realistically implemented on a routine basis for validation, is proposed.
Consistency between LAI retrievals from 30 m ETM+ data and field measurements indicates satisfactory performance of the algorithm. Values of LAI estimated from a spatially heterogeneous scene depend strongly on the spatial resolution of the image scene. The results indicate that the MODIS algorithm will underestimate LAI values by about 5% over the Maun site if the scale of the algorithm is not matched to the resolution of the data.

Original languageEnglish
Pages (from-to)414-430
JournalRemote Sensing of Environment
Volume83
Issue number3
DOIs
Publication statusPublished - 2002
MoE publication typeA1 Journal article-refereed

Fingerprint

moderate resolution imaging spectroradiometer
leaf area index
MODIS
uncertainty
Imaging techniques
Satellites
Sampling
analysis
product
Uncertainty
wet season
remote sensing
satellite data
spatial resolution
methodology
sampling

Keywords

  • MODIS
  • validation
  • satellite
  • satellite images
  • LAI
  • MODIS LAI
  • leaf area index

Cite this

Tian, Y., Woodcock, C. E., Wang, Y., Privette, J. L., Shabanov, N. V., Zhou, L., ... Myneni, R. B. (2002). Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment. Remote Sensing of Environment, 83(3), 414-430. https://doi.org/10.1016/S0034-4257(02)00047-0
Tian, Yuhong ; Woodcock, Curtis E. ; Wang, Yujie ; Privette, Jeff L. ; Shabanov, Nikolay V. ; Zhou, Liming ; Zhang, Yu ; Buermann, Wolfgang ; Dong, Jiarui ; Veikkanen, Brita ; Häme, Tuomas ; Andersson, Kaj ; Ozdogan, Mutlu ; Knyazikhin, Yuri ; Myneni, Ranga B. / Multiscale analysis and validation of the MODIS LAI product : I. Uncertainty assessment. In: Remote Sensing of Environment. 2002 ; Vol. 83, No. 3. pp. 414-430.
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abstract = "The development of appropriate ground-based validation techniques is critical to assessing uncertainties associated with satellite data-based products. Here we present a method for validation of the Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) product with emphasis on the sampling strategy for field data collection. This paper, the first of two-part series, details the procedures used to assess uncertainty of the MODIS LAI product. LAI retrievals from 30 m ETM+ data were first compared to field measurements from the SAFARI 2000 wet season campaign. The ETM+ based LAI map was thus as a reference to specify uncertainties in the LAI fields produced from MODIS data (250-, 500-, and 1000-m resolutions) simulated from ETM+. Because of high variance of LAI measurements over short distances and difficulties of matching measurements and image data, a patch-by-patch comparison method, which is more realistically implemented on a routine basis for validation, is proposed. Consistency between LAI retrievals from 30 m ETM+ data and field measurements indicates satisfactory performance of the algorithm. Values of LAI estimated from a spatially heterogeneous scene depend strongly on the spatial resolution of the image scene. The results indicate that the MODIS algorithm will underestimate LAI values by about 5{\%} over the Maun site if the scale of the algorithm is not matched to the resolution of the data.",
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Tian, Y, Woodcock, CE, Wang, Y, Privette, JL, Shabanov, NV, Zhou, L, Zhang, Y, Buermann, W, Dong, J, Veikkanen, B, Häme, T, Andersson, K, Ozdogan, M, Knyazikhin, Y & Myneni, RB 2002, 'Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment', Remote Sensing of Environment, vol. 83, no. 3, pp. 414-430. https://doi.org/10.1016/S0034-4257(02)00047-0

Multiscale analysis and validation of the MODIS LAI product : I. Uncertainty assessment. / Tian, Yuhong; Woodcock, Curtis E.; Wang, Yujie; Privette, Jeff L.; Shabanov, Nikolay V.; Zhou, Liming; Zhang, Yu; Buermann, Wolfgang; Dong, Jiarui; Veikkanen, Brita; Häme, Tuomas; Andersson, Kaj; Ozdogan, Mutlu; Knyazikhin, Yuri; Myneni, Ranga B.

In: Remote Sensing of Environment, Vol. 83, No. 3, 2002, p. 414-430.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Multiscale analysis and validation of the MODIS LAI product

T2 - I. Uncertainty assessment

AU - Tian, Yuhong

AU - Woodcock, Curtis E.

AU - Wang, Yujie

AU - Privette, Jeff L.

AU - Shabanov, Nikolay V.

AU - Zhou, Liming

AU - Zhang, Yu

AU - Buermann, Wolfgang

AU - Dong, Jiarui

AU - Veikkanen, Brita

AU - Häme, Tuomas

AU - Andersson, Kaj

AU - Ozdogan, Mutlu

AU - Knyazikhin, Yuri

AU - Myneni, Ranga B.

PY - 2002

Y1 - 2002

N2 - The development of appropriate ground-based validation techniques is critical to assessing uncertainties associated with satellite data-based products. Here we present a method for validation of the Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) product with emphasis on the sampling strategy for field data collection. This paper, the first of two-part series, details the procedures used to assess uncertainty of the MODIS LAI product. LAI retrievals from 30 m ETM+ data were first compared to field measurements from the SAFARI 2000 wet season campaign. The ETM+ based LAI map was thus as a reference to specify uncertainties in the LAI fields produced from MODIS data (250-, 500-, and 1000-m resolutions) simulated from ETM+. Because of high variance of LAI measurements over short distances and difficulties of matching measurements and image data, a patch-by-patch comparison method, which is more realistically implemented on a routine basis for validation, is proposed. Consistency between LAI retrievals from 30 m ETM+ data and field measurements indicates satisfactory performance of the algorithm. Values of LAI estimated from a spatially heterogeneous scene depend strongly on the spatial resolution of the image scene. The results indicate that the MODIS algorithm will underestimate LAI values by about 5% over the Maun site if the scale of the algorithm is not matched to the resolution of the data.

AB - The development of appropriate ground-based validation techniques is critical to assessing uncertainties associated with satellite data-based products. Here we present a method for validation of the Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) product with emphasis on the sampling strategy for field data collection. This paper, the first of two-part series, details the procedures used to assess uncertainty of the MODIS LAI product. LAI retrievals from 30 m ETM+ data were first compared to field measurements from the SAFARI 2000 wet season campaign. The ETM+ based LAI map was thus as a reference to specify uncertainties in the LAI fields produced from MODIS data (250-, 500-, and 1000-m resolutions) simulated from ETM+. Because of high variance of LAI measurements over short distances and difficulties of matching measurements and image data, a patch-by-patch comparison method, which is more realistically implemented on a routine basis for validation, is proposed. Consistency between LAI retrievals from 30 m ETM+ data and field measurements indicates satisfactory performance of the algorithm. Values of LAI estimated from a spatially heterogeneous scene depend strongly on the spatial resolution of the image scene. The results indicate that the MODIS algorithm will underestimate LAI values by about 5% over the Maun site if the scale of the algorithm is not matched to the resolution of the data.

KW - MODIS

KW - validation

KW - satellite

KW - satellite images

KW - LAI

KW - MODIS LAI

KW - leaf area index

U2 - 10.1016/S0034-4257(02)00047-0

DO - 10.1016/S0034-4257(02)00047-0

M3 - Article

VL - 83

SP - 414

EP - 430

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

IS - 3

ER -