Use of land-cover fractions derived from MESMA for urban water balance calculation

Luca Demarchi; Frank Canters; Jonathan Cheung-Wai Chan; Eva Ampe; Okke Batelaan

doi:10.1109/IGARSS.2012.6350812

Use of land-cover fractions derived from MESMA for urban water balance calculation

Luca Demarchi
, Frank Canters
, Jonathan Cheung-Wai Chan
, Eva Ampe
, Okke Batelaan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Multiple Endmember Spectral Mixture Analysis (MESMA) is a useful method to deal with issues of spatial and spectral heterogeneity in urban areas, allowing endmembers to vary on a per-pixel basis. In this study, per-pixel land-cover fractions obtained from MESMA are used as an input for spatially distributed hydrological modeling in a strongly urbanized area. Different components of the water balance are estimated using per-pixel land-cover fractions and compared to results obtained with a semi-distributed approach, where land-cover composition is fixed a priori for each land-use type, using default model parameters. Access to spatially detailed information on the impervious surface and vegetation component proves to have a strong impact on surface runoff and groundwater recharge calculations for different land-uses. Use of MESMA, providing accurate estimates land-cover composition for each pixel may therefore contribute to improving water balance calculation in urbanized areas.

Original language	English
Title of host publication	2012 IEEE International Geoscience & Remote Sensing Symposium
Subtitle of host publication	Proceedings
Publisher	Institute of Electrical and Electronics Engineers
Pages	1594-1597
Number of pages	4
ISBN (Electronic)	978-1-4673-1159-5
ISBN (Print)	978-1-4673-1160-1
DOIs	https://doi.org/10.1109/IGARSS.2012.6350812
Publication status	Published - 2012
Externally published	Yes
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

CHRIS/Proba
Evapotranspiration
MESMA
Recharge
Runoff

Access to Document

10.1109/IGARSS.2012.6350812Licence: In Copyright

Cite this

@inproceedings{07dc9ac8459c44b5855f0239ac3db40a,

title = "Use of land-cover fractions derived from MESMA for urban water balance calculation",

abstract = "Multiple Endmember Spectral Mixture Analysis (MESMA) is a useful method to deal with issues of spatial and spectral heterogeneity in urban areas, allowing endmembers to vary on a per-pixel basis. In this study, per-pixel land-cover fractions obtained from MESMA are used as an input for spatially distributed hydrological modeling in a strongly urbanized area. Different components of the water balance are estimated using per-pixel land-cover fractions and compared to results obtained with a semi-distributed approach, where land-cover composition is fixed a priori for each land-use type, using default model parameters. Access to spatially detailed information on the impervious surface and vegetation component proves to have a strong impact on surface runoff and groundwater recharge calculations for different land-uses. Use of MESMA, providing accurate estimates land-cover composition for each pixel may therefore contribute to improving water balance calculation in urbanized areas.",

keywords = "CHRIS/Proba, Evapotranspiration, MESMA, Recharge, Runoff",

author = "Luca Demarchi and Frank Canters and Chan, \{Jonathan Cheung-Wai\} and Eva Ampe and Okke Batelaan",

year = "2012",

doi = "10.1109/IGARSS.2012.6350812",

language = "English",

isbn = "978-1-4673-1160-1",

pages = "1594--1597",

booktitle = "2012 IEEE International Geoscience \& Remote Sensing Symposium",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

}

Demarchi, L, Canters, F, Chan, JC-W, Ampe, E & Batelaan, O 2012, Use of land-cover fractions derived from MESMA for urban water balance calculation. in 2012 IEEE International Geoscience & Remote Sensing Symposium: Proceedings. Institute of Electrical and Electronics Engineers, pp. 1594-1597, 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany, 22/07/12. https://doi.org/10.1109/IGARSS.2012.6350812

Use of land-cover fractions derived from MESMA for urban water balance calculation. / Demarchi, Luca; Canters, Frank; Chan, Jonathan Cheung-Wai et al.
2012 IEEE International Geoscience & Remote Sensing Symposium: Proceedings. Institute of Electrical and Electronics Engineers, 2012. p. 1594-1597.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Use of land-cover fractions derived from MESMA for urban water balance calculation

AU - Demarchi, Luca

AU - Canters, Frank

AU - Chan, Jonathan Cheung-Wai

AU - Ampe, Eva

AU - Batelaan, Okke

PY - 2012

Y1 - 2012

N2 - Multiple Endmember Spectral Mixture Analysis (MESMA) is a useful method to deal with issues of spatial and spectral heterogeneity in urban areas, allowing endmembers to vary on a per-pixel basis. In this study, per-pixel land-cover fractions obtained from MESMA are used as an input for spatially distributed hydrological modeling in a strongly urbanized area. Different components of the water balance are estimated using per-pixel land-cover fractions and compared to results obtained with a semi-distributed approach, where land-cover composition is fixed a priori for each land-use type, using default model parameters. Access to spatially detailed information on the impervious surface and vegetation component proves to have a strong impact on surface runoff and groundwater recharge calculations for different land-uses. Use of MESMA, providing accurate estimates land-cover composition for each pixel may therefore contribute to improving water balance calculation in urbanized areas.

AB - Multiple Endmember Spectral Mixture Analysis (MESMA) is a useful method to deal with issues of spatial and spectral heterogeneity in urban areas, allowing endmembers to vary on a per-pixel basis. In this study, per-pixel land-cover fractions obtained from MESMA are used as an input for spatially distributed hydrological modeling in a strongly urbanized area. Different components of the water balance are estimated using per-pixel land-cover fractions and compared to results obtained with a semi-distributed approach, where land-cover composition is fixed a priori for each land-use type, using default model parameters. Access to spatially detailed information on the impervious surface and vegetation component proves to have a strong impact on surface runoff and groundwater recharge calculations for different land-uses. Use of MESMA, providing accurate estimates land-cover composition for each pixel may therefore contribute to improving water balance calculation in urbanized areas.

KW - CHRIS/Proba

KW - Evapotranspiration

KW - MESMA

KW - Recharge

KW - Runoff

UR - https://www.scopus.com/pages/publications/84873165667

U2 - 10.1109/IGARSS.2012.6350812

DO - 10.1109/IGARSS.2012.6350812

M3 - Conference contribution

AN - SCOPUS:84873165667

SN - 978-1-4673-1160-1

SP - 1594

EP - 1597

BT - 2012 IEEE International Geoscience & Remote Sensing Symposium

PB - Institute of Electrical and Electronics Engineers

T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Use of land-cover fractions derived from MESMA for urban water balance calculation

Abstract

Conference

UN SDGs

Keywords

Access to Document

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