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Assessing irrigated cropland dynamics in central Asia between 2001 and 2010 based on MODIS time series

Conrad, Christopher and Löw, Fabian and Rudloff, Moritz and Schorcht, Gunther (2012) Assessing irrigated cropland dynamics in central Asia between 2001 and 2010 based on MODIS time series. In: Proceedings of SPIE Remote Sensing, 8531. SPIE Remote Sensing, 24-27 Sep 2012, Edinburgh. ISBN 9780819492715

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Official URL: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1386129

Abstract

Monitoring of vegetation dynamics in extensive irrigated croplands is essential for improving land and water management, especially to understand the reaction of the system to water scarcity and degradation processes. This study focuses on the assessment of irrigated cropland dynamics in the western part of the Aral Sea Basin in Central Asia during the past decade. Extend of cropland and spatio-temporal cropping patters are analyzed based on phenological profiles extracted from 16day MODIS vegetation index time series at a spatial resolution of 250m. Knowledge-based classifications which needed to be adjusted for every single year were applied to distinguish between cropland and other major land cover types, the desert or sparsely vegetated steppes, settled areas, and water bodies. Interannual variability of the time series in the maximum cropland extend recorded between 2001 and 2010 was assessed by using Pearson’s cross correlation (PCC) coefficient. Shifts of maximum one month (+/-) were tested and the highest PCC coefficient was selected. Accuracy assessment using a multi-annual MODIS classification conducted for a representative irrigation system between 2004 and 2007 returned acceptable results for the cropland mask (<90%). Comparing the inter-annual cropland dynamics revealed using PCC with both, the MODIS classifications 2004-2007 and pure pixels of aggregated ASTER based maps showed that the PCC only permits differentiation between different modalities in the time series, i.e. years of a varying number of intra-annual crop cycles. However, simply overlaying the cropland extends 2001-2010 already exhibits areas of unreliable water supply. In this light, integration of both, PCC analysis of MODIS time series and annual maps of the cropland extent can be concluded as valuable next steps for better understanding the dynamics of the irrigated cropland at regional scale not only in the Aral Sea Basin of Central Asia, but also in other arid environments, where irrigation agriculture is essential for rural income generation and food security.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Item URL in elib:https://elib.dlr.de/79204/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Assessing irrigated cropland dynamics in central Asia between 2001 and 2010 based on MODIS time series
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Conrad, ChristopherChristopher.Conrad (at) uni-wuerzburg.deUNSPECIFIED
Löw, Fabianfabian.loew (at) uni-wuerzburg.deUNSPECIFIED
Rudloff, MoritzUNSPECIFIEDUNSPECIFIED
Schorcht, GuntherGunther.Schorcht (at) uni-wuerzburg.deUNSPECIFIED
Date:September 2012
Journal or Publication Title:Proceedings of SPIE Remote Sensing
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:8531
Editors:
EditorsEmail
Neale, ChristopherUNSPECIFIED
Maltese, AntoninoUNSPECIFIED
Series Name:Proceedings of SPIE
ISBN:9780819492715
Status:Published
Keywords:Accuracy assessment, Agriculture, MODIS, Physical oceanography, Water
Event Title:SPIE Remote Sensing
Event Location:Edinburgh
Event Type:international Conference
Event Dates:24-27 Sep 2012
Organizer:SPIE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Kübert, Carina
Deposited On:14 Feb 2013 10:52
Last Modified:18 Mar 2013 16:54

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