Long-term subsidence in Mexico City from 2004 to 2018 revealed by five synthetic aperture radar sensors

Du, Z; Ge, L; Ng, AHM; Zhu, Q; Zhang, Q; Kuang, J; Dong, Y

Long-term subsidence in Mexico City from 2004 to 2018 revealed by five synthetic aperture radar sensors

Du, Z Ge, L Ng, AHM Zhu, Q

Zhang, Q Kuang, J Dong, Y

Permalink

Publication Type:: Journal Article
Citation:: Land Degradation and Development, 2019, 30 (15), pp. 1785 - 1801
Issue Date:: 2019-09-01

Closed Access

	Filename	Description	Size
	Du_et_al-2019-Land_Degradation_&_Development.pdf	Published Version	3.62 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Du, Z	en_US
dc.contributor.author	Ge, L	en_US
dc.contributor.author	Ng, AHM	en_US
dc.contributor.author	Zhu, Q https://orcid.org/0000-0002-2371-4626	en_US
dc.contributor.author	Zhang, Q	en_US
dc.contributor.author	Kuang, J	en_US
dc.contributor.author	Dong, Y	en_US
dc.date.issued	2019-09-01	en_US
dc.identifier.citation	Land Degradation and Development, 2019, 30 (15), pp. 1785 - 1801	en_US
dc.identifier.issn	1085-3278	en_US
dc.identifier.uri	http://hdl.handle.net/10453/136616
dc.description.abstract	© 2019 John Wiley & Sons, Ltd. Anthropogenic land subsidence is an example of changes to the natural environment due to human activities and is one of the key factors in causing land degradation at a range of scales. Previous studies assessing land subsidence in the Valley of Mexico either focused on regional scale or short (noncontinuous) temporal scale. In this study, long-term land subsidence (~15 years) is mapped in Mexico City (Mexico) using two interferometric synthetic aperture radar (InSAR) methods, namely, GEOS (Geoscience and Earth Observing Systems Group)-Advance Time-series Analysis and GEOS-Small Baseline Subset. An inverse distance weighted-based integration module and maximum likelihood regression-based M estimator are introduced to further enhance these two methods. The land subsidence was continuously mapped using ENVISAT (2004–2007), ALOS-1 (2007–2011), COSMO-SkyMed (2011–2014), ALOS-2 (2014–2018), and SENTINEL-1 (2015–2017) data sets. A comparison between InSAR time-series and GPS measurement shows that the subsidence rates are consistent over 2004–2018. The subsidence map over 15 years was generated finding a maximum subsidence over 4.5 m. By comparing our InSAR results with a land use map, we find that the subsidence centre in Mexico City is mostly located in the residential regions with the consumption of groundwater contributing considerably to the local subsidence rate. A total volume of 1.20 × 108 m3 of the land in Ciudad Nezahualcoyotl subsided/degraded. A continuing subsidence process limits the potential land use causing serious land degradation. Our results may be used to assist disaster reduction plans.	en_US
dc.relation.ispartof	Land Degradation and Development	en_US
dc.relation.isbasedon	10.1002/ldr.3347	en_US
dc.subject.classification	Agronomy & Agriculture	en_US
dc.title	Long-term subsidence in Mexico City from 2004 to 2018 revealed by five synthetic aperture radar sensors	en_US
dc.type	Journal Article
utslib.citation.volume	15	en_US
utslib.citation.volume	30	en_US
utslib.for	0406 Physical Geography and Environmental Geoscience	en_US
utslib.for	03 Chemical Sciences	en_US
utslib.for	04 Earth Sciences	en_US
utslib.for	05 Environmental Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access
pubs.issue	15	en_US
pubs.publication-status	Published	en_US
pubs.volume	30	en_US

Abstract:

© 2019 John Wiley & Sons, Ltd. Anthropogenic land subsidence is an example of changes to the natural environment due to human activities and is one of the key factors in causing land degradation at a range of scales. Previous studies assessing land subsidence in the Valley of Mexico either focused on regional scale or short (noncontinuous) temporal scale. In this study, long-term land subsidence (~15 years) is mapped in Mexico City (Mexico) using two interferometric synthetic aperture radar (InSAR) methods, namely, GEOS (Geoscience and Earth Observing Systems Group)-Advance Time-series Analysis and GEOS-Small Baseline Subset. An inverse distance weighted-based integration module and maximum likelihood regression-based M estimator are introduced to further enhance these two methods. The land subsidence was continuously mapped using ENVISAT (2004–2007), ALOS-1 (2007–2011), COSMO-SkyMed (2011–2014), ALOS-2 (2014–2018), and SENTINEL-1 (2015–2017) data sets. A comparison between InSAR time-series and GPS measurement shows that the subsidence rates are consistent over 2004–2018. The subsidence map over 15 years was generated finding a maximum subsidence over 4.5 m. By comparing our InSAR results with a land use map, we find that the subsidence centre in Mexico City is mostly located in the residential regions with the consumption of groundwater contributing considerably to the local subsidence rate. A total volume of 1.20 × 108 m3 of the land in Ciudad Nezahualcoyotl subsided/degraded. A continuing subsidence process limits the potential land use causing serious land degradation. Our results may be used to assist disaster reduction plans.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/136616