Arid
DOI10.1002/ldr.2556
Using Landsat Images and Spectral Mixture Analysis to Assess Drivers of 21-Year LULC Changes in Sudan
Dawelbait, Mona1,2; Dal Ferro, Nicola2; Morari, Francesco2
通讯作者Morari, Francesco
来源期刊LAND DEGRADATION & DEVELOPMENT
ISSN1085-3278
EISSN1099-145X
出版年2017
卷号28期号:1页码:116-127
英文摘要

Landsat images acquired in 1987, 1999 and 2008 were selected to evaluate land use and land cover changes in three different ecological zones in the Republic of the Sudan: savannah (North Kordofan), semi-desert (River Nile) and desert (Northern State). Maps of soil, vegetation and non-photosynthetic material were built by spectral mixture analysis using endmembers spectra derived from images. Multitemporal comparison techniques were then applied to vegetation and soil maps to estimate the long-term land degradation/re-growth dynamics and to emphasize land cover variation over time and in space. Multitemporal comparisons have shown that site-specific interactions between natural processes, climate variation and human activity played a pivotal role in land use and land cover change. In savannah, human activities strongly affected degradation phenomena. Expansion of villages triggered a change in land use and mismanagement of the natural resources, mainly caused by deforestation to supply wood for domestic uses. The degradation then promoted sand encroachment and dune migration. On average, 48% of the total area was subjected to medium (25-50%) and high (50-75%) land degradation. Differently, climatic constraints drove increasing degradation processes in semi-desert and desert zones. The phenomenon was particularly severe in the desert zone. In each site, an inversion of the general trend was due to a land use change where forestry or agricultural projects were established, partly sustained in savannah by the positive rainfall trend of the last two decades. Site-specific strategies that take into account the interactions of the driving factors at local scale are thus necessary to combat land degradation. Copyright (c) 2016 John Wiley & Sons, Ltd.


英文关键词LULC remote sensing spectral mixture analysis change vector analysis Landsat
类型Article
语种英语
国家Sudan ; Italy
收录类别SCI-E ; SSCI
WOS记录号WOS:000393800400011
WOS关键词PRINCIPAL-COMPONENTS-ANALYSIS ; VEGETATION DYNAMICS ; AFRICAN SAHEL ; COVER CHANGES ; MULTISPECTRAL IMAGES ; REFLECTANCE SPECTRA ; SEMIARID REGIONS ; SATELLITE DATA ; SANDY LAND ; DESERTIFICATION
WOS类目Environmental Sciences ; Soil Science
WOS研究方向Environmental Sciences & Ecology ; Agriculture
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/200927
作者单位1.Minist Environm & Phys Dev, Dept Environm Affairs, Khartoum, Sudan;
2.Univ Padua, Dept Agron Food Nat Resources Anim & Environm, Agripolis, Viale Univ 16, I-35020 Padua, Italy
推荐引用方式
GB/T 7714
Dawelbait, Mona,Dal Ferro, Nicola,Morari, Francesco. Using Landsat Images and Spectral Mixture Analysis to Assess Drivers of 21-Year LULC Changes in Sudan[J],2017,28(1):116-127.
APA Dawelbait, Mona,Dal Ferro, Nicola,&Morari, Francesco.(2017).Using Landsat Images and Spectral Mixture Analysis to Assess Drivers of 21-Year LULC Changes in Sudan.LAND DEGRADATION & DEVELOPMENT,28(1),116-127.
MLA Dawelbait, Mona,et al."Using Landsat Images and Spectral Mixture Analysis to Assess Drivers of 21-Year LULC Changes in Sudan".LAND DEGRADATION & DEVELOPMENT 28.1(2017):116-127.
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