Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series
Cropland abandonment is globally widespread and has strong repercussions for regional food security and the environment. Statistics suggest that one of the hotspots of abandoned cropland is located in the drylands of the Aral Sea Basin (ASB), which covers parts of post-Soviet Central Asia, Afghanist...
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doaj-88f096999091467cb5d2ef6c14da4abf2020-11-24T22:55:57ZengMDPI AGRemote Sensing2072-42922018-01-0110215910.3390/rs10020159rs10020159Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time SeriesFabian Löw0Alexander V. Prishchepov1François Waldner2Olena Dubovyk3Akmal Akramkhanov4Chandrashekhar Biradar5John P. A. Lamers6International Centre for Agricultural Research in Dry Areas (ICARDA), 11431 Cairo, EgyptDepartment of Geosciences and Natural Resource Management (IGN), University of Copenhagen, 1165 København, DenmarkEarth and Life Institute-Environment, Université Catholique de Louvain, 2 Croix du Sud, 1348 Louvain-la-Neuve, BelgiumDepartment of Geography, Rheinische-Friedrich-Wilhelms-Universität, 53113 Bonn, GermanyInternational Centre for Agricultural Research in Dry Areas (ICARDA), 11431 Cairo, EgyptInternational Centre for Agricultural Research in Dry Areas (ICARDA), 11431 Cairo, EgyptDepartment of Geography, Rheinische-Friedrich-Wilhelms-Universität, 53113 Bonn, GermanyCropland abandonment is globally widespread and has strong repercussions for regional food security and the environment. Statistics suggest that one of the hotspots of abandoned cropland is located in the drylands of the Aral Sea Basin (ASB), which covers parts of post-Soviet Central Asia, Afghanistan and Iran. To date, the exact spatial and temporal extents of abandoned cropland remain unclear, which hampers land-use planning. Abandoned land is a potentially valuable resource for alternative land uses. Here, we mapped the abandoned cropland in the drylands of the ASB with a time series of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) from 2003–2016. To overcome the restricted ability of a single classifier to accurately map land-use classes across large areas and agro-environmental gradients, “stratum-specific” classifiers were calibrated and classification results were fused based on a locally weighted decision fusion approach. Next, the agro-ecological suitability of abandoned cropland areas was evaluated. The stratum-specific classification approach yielded an overall accuracy of 0.879, which was significantly more accurate ( p < 0.05) than a “global” classification without stratification, which had an accuracy of 0.811. In 2016, the classification results showed that 13% (1.15 Mha) of the observed irrigated cropland in the ASB was idle (abandoned). Cropland abandonment occurred mostly in the Amudarya and Syrdarya downstream regions and was associated with degraded land and areas prone to water stress. Despite the almost twofold population growth and increasing food demand in the ASB area from 1990 to 2016, abandoned cropland was also located in areas with high suitability for farming. The map of abandoned cropland areas provides a novel basis for assessing the causes leading to abandoned cropland in the ASB. This contributes to assessing the suitability of abandoned cropland for food or bioenergy production, carbon storage, or assessing the environmental trade-offs and social constraints of recultivation.http://www.mdpi.com/2072-4292/10/2/159abandoned croplandAral Sea Basinchange detectionland usedecision fusionMODIS |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fabian Löw Alexander V. Prishchepov François Waldner Olena Dubovyk Akmal Akramkhanov Chandrashekhar Biradar John P. A. Lamers |
spellingShingle |
Fabian Löw Alexander V. Prishchepov François Waldner Olena Dubovyk Akmal Akramkhanov Chandrashekhar Biradar John P. A. Lamers Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series Remote Sensing abandoned cropland Aral Sea Basin change detection land use decision fusion MODIS |
author_facet |
Fabian Löw Alexander V. Prishchepov François Waldner Olena Dubovyk Akmal Akramkhanov Chandrashekhar Biradar John P. A. Lamers |
author_sort |
Fabian Löw |
title |
Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series |
title_short |
Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series |
title_full |
Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series |
title_fullStr |
Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series |
title_full_unstemmed |
Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series |
title_sort |
mapping cropland abandonment in the aral sea basin with modis time series |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2018-01-01 |
description |
Cropland abandonment is globally widespread and has strong repercussions for regional food security and the environment. Statistics suggest that one of the hotspots of abandoned cropland is located in the drylands of the Aral Sea Basin (ASB), which covers parts of post-Soviet Central Asia, Afghanistan and Iran. To date, the exact spatial and temporal extents of abandoned cropland remain unclear, which hampers land-use planning. Abandoned land is a potentially valuable resource for alternative land uses. Here, we mapped the abandoned cropland in the drylands of the ASB with a time series of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) from 2003–2016. To overcome the restricted ability of a single classifier to accurately map land-use classes across large areas and agro-environmental gradients, “stratum-specific” classifiers were calibrated and classification results were fused based on a locally weighted decision fusion approach. Next, the agro-ecological suitability of abandoned cropland areas was evaluated. The stratum-specific classification approach yielded an overall accuracy of 0.879, which was significantly more accurate ( p < 0.05) than a “global” classification without stratification, which had an accuracy of 0.811. In 2016, the classification results showed that 13% (1.15 Mha) of the observed irrigated cropland in the ASB was idle (abandoned). Cropland abandonment occurred mostly in the Amudarya and Syrdarya downstream regions and was associated with degraded land and areas prone to water stress. Despite the almost twofold population growth and increasing food demand in the ASB area from 1990 to 2016, abandoned cropland was also located in areas with high suitability for farming. The map of abandoned cropland areas provides a novel basis for assessing the causes leading to abandoned cropland in the ASB. This contributes to assessing the suitability of abandoned cropland for food or bioenergy production, carbon storage, or assessing the environmental trade-offs and social constraints of recultivation. |
topic |
abandoned cropland Aral Sea Basin change detection land use decision fusion MODIS |
url |
http://www.mdpi.com/2072-4292/10/2/159 |
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