Trend analysis of MODIS time-series using different vegetation indices for monitoring of cropland degradation and abandonment in central Asia

Olena Dubovyk; Gunter Menz; Asia Khamzina

doi:10.1109/IGARSS.2012.6352089

Trend analysis of MODIS time-series using different vegetation indices for monitoring of cropland degradation and abandonment in central Asia

Olena Dubovyk^*
, Gunter Menz
, Asia Khamzina

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

11 Citations (Scopus)

Abstract

Dryland cropping systems are particularly vulnerable to land degradation processes due to climate aridity and improper management practices. Spatially explicit information on land's state, which can be derived with remote sensing techniques, should become available to support land rehabilitation decisions. This study aimed at (i) mapping a land degradation trend in the irrigated cropland in Central Asia with a linear trend analysis of the time series of the MODIS images and (ii) comparing the captured trends, based on different vegetation indices. About one-third of the study area (171,563 ha) experienced the land degradation trend during the monitoring period of 2000-2010. The trend coefficients of three vegetation indices (NDVI, EVI, SAVI) were similar with the corresponding R²-values of 0.78 (NDVI & EVI) and 0.82 (NDVI & SAVI). The revealed changes were mainly associated with the abandoned lands, where bare soil patches prevailed.

Original language	English
Pages	6589-6592
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6352089
Publication status	Published - 2012
Externally published	Yes
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 2012 Jul 22 → 2012 Jul 27

Other

Other	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	12/7/22 → 12/7/27

UN SDGs

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

SDG 15 Life on Land

Keywords

EVI
NDVI
SAVI
Trend analysis
Uzbekistan

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS.2012.6352089

Cite this

Trend analysis of MODIS time-series using different vegetation indices for monitoring of cropland degradation and abandonment in central Asia. / Dubovyk, Olena; Menz, Gunter; Khamzina, Asia.
2012. 6589-6592 Paper presented at 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany.

Research output: Contribution to conference › Paper › peer-review

Dubovyk, O, Menz, G & Khamzina, A 2012, 'Trend analysis of MODIS time-series using different vegetation indices for monitoring of cropland degradation and abandonment in central Asia', Paper presented at 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany, 12/7/22 - 12/7/27 pp. 6589-6592. https://doi.org/10.1109/IGARSS.2012.6352089

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abstract = "Dryland cropping systems are particularly vulnerable to land degradation processes due to climate aridity and improper management practices. Spatially explicit information on land's state, which can be derived with remote sensing techniques, should become available to support land rehabilitation decisions. This study aimed at (i) mapping a land degradation trend in the irrigated cropland in Central Asia with a linear trend analysis of the time series of the MODIS images and (ii) comparing the captured trends, based on different vegetation indices. About one-third of the study area (171,563 ha) experienced the land degradation trend during the monitoring period of 2000-2010. The trend coefficients of three vegetation indices (NDVI, EVI, SAVI) were similar with the corresponding R2-values of 0.78 (NDVI \& EVI) and 0.82 (NDVI \& SAVI). The revealed changes were mainly associated with the abandoned lands, where bare soil patches prevailed.",

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KW - NDVI

KW - SAVI

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KW - Uzbekistan

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Trend analysis of MODIS time-series using different vegetation indices for monitoring of cropland degradation and abandonment in central Asia

Abstract

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UN SDGs

Keywords

ASJC Scopus subject areas

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