Arid
DOI10.3390/rs10020159
Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series
Low, Fabian1,2; Prishchepov, Alexander V.3,4,5; Waldner, Francois6,7; Dubovyk, Olena8; Akramkhanov, Akmal1; Biradar, Chandrashekhar1; Lamers, John P. A.8
通讯作者Low, Fabian
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2018
卷号10期号:2
英文摘要

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 ( < 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.


英文关键词abandoned cropland Aral Sea Basin change detection land use decision fusion MODIS
类型Article
语种英语
国家Egypt ; Germany ; Denmark ; Russia ; Belgium ; Australia
收录类别SCI-E ; SSCI
WOS记录号WOS:000427542100006
WOS关键词LAND-COVER CLASSIFICATION ; SUPPORT VECTOR MACHINES ; SALT-INDUCED LAND ; CENTRAL-ASIA ; AGRICULTURAL LAND ; TRAINING DATA ; FARMLAND ABANDONMENT ; DECISION FUSION ; ARID UZBEKISTAN ; EUROPEAN RUSSIA
WOS类目Remote Sensing
WOS研究方向Remote Sensing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/212596
作者单位1.Int Ctr Agr Res Dry Areas ICARDA, Cairo 11431, Egypt;
2.MapTailor Geospatial Consulting, D-53113 Bonn, Germany;
3.Univ Copenhagen, Dept Geosci & Nat Resource Management IGN, DK-1165 Copenhagen, Denmark;
4.Leibniz Inst Agr Dev Transit Econ IAMO, D-06120 Halle, Saale, Germany;
5.Kazan Fed Univ, Inst Environm Sci, Kazan 420008, Russia;
6.Catholic Univ Louvain, Earth & Life Inst Environm, 2 Croix Sud, B-1348 Louvain La Neuve, Belgium;
7.CSIRO Agr & Food, 306 Carmody Rd, St Lucia, Qld 4067, Australia;
8.Rhein Friedrich Wilhelms Univ, Dept Geog, D-53113 Bonn, Germany
推荐引用方式
GB/T 7714
Low, Fabian,Prishchepov, Alexander V.,Waldner, Francois,et al. Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series[J],2018,10(2).
APA Low, Fabian.,Prishchepov, Alexander V..,Waldner, Francois.,Dubovyk, Olena.,Akramkhanov, Akmal.,...&Lamers, John P. A..(2018).Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series.REMOTE SENSING,10(2).
MLA Low, Fabian,et al."Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series".REMOTE SENSING 10.2(2018).
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