干旱区生态环境知识资源中心(Arid): Land degradation mapping in the MATOPIBA region (Brazil) using remote sensing data and decision-tree analysis

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DOI	10.1016/j.scitotenv.2021.146900
	Land degradation mapping in the MATOPIBA region (Brazil) using remote sensing data and decision-tree analysis
	da Silva Pinto Vieira, Rita Marcia; Tomasella, Javier; Barbosa, Alexandre Augusto; Polizel, Silvia Palotti; Henry Balbaud Ometto, Jean Pierre; Santos, Fabricia Cristina; Ferreira, Yara da Cruz; de Toledo, Peter Mann
通讯作者	Vieira, RMDP (corresponding author), Inst Nacl Pesquisas Espaciais INPE, Caixa Postal 515, BR-12245970 Sao Jose Dos Campos, SP, Brazil.
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2021
卷号	782
英文摘要	The expansion of agricultural activities in Brazil resulted in a loss of approximately 50% of the native vegetation of the Cerrado biome, mainly to the north of the biome in a region known as MATOPIBA. Besides contributing to accelerate climate change, the removal of native vegetation is associated with increase soil degradation. In this study, we used the decision tree method to predict degradation using as indicators Normalized Difference Vegetation Index (NDVI) derived indices over the period 1985-2018. Results showed that approximately 4677 km(2) (0.63%) of MATOPIBA region is under strong signs of degradation, mostly on pasture and grasslands areas, commonly used for grazing. Although the percentage of degraded areas is relatively small, the mapping indicated that the majority of degradation patches are concentrated not only in areas of low resilience, e.g., areas dominated by weakly structured sandy soils, but also where highly stable latosols dominate. More importantly, these areas were frequently affected by fire over the study period. This finding suggests that the combination of unsustainable traditional land management practices, such as fire, the replacement of forest by pasture, and anthropic activities such as inadequate road planning, are the main factor that trigger degradation processes in this Brazilian region. The study results are important for decision makers for defining investment priorities for conservation and for the recovery of degraded areas. (C) 2021 Elsevier B.V. All rights reserved.
英文关键词	Soil degradation Remote sensing Machine learning NDVI MATOPIBA Brazilian Cerrado
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000655625700005
WOS关键词	COVER ; DESERTIFICATION ; AGREEMENT ; TRENDS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351676
作者单位	[da Silva Pinto Vieira, Rita Marcia; Barbosa, Alexandre Augusto; Polizel, Silvia Palotti; Henry Balbaud Ometto, Jean Pierre; Santos, Fabricia Cristina; Ferreira, Yara da Cruz; de Toledo, Peter Mann] Inst Nacl Pesquisas Espaciais INPE, Caixa Postal 515, BR-12245970 Sao Jose Dos Campos, SP, Brazil; [Tomasella, Javier] Ctr Nacl Monitoramento & Alertas Desastres Nat CE, Estr Doutor Altino Bondensan 500, Sao Jose Dos Campos, SP, Brazil
推荐引用方式 GB/T 7714	da Silva Pinto Vieira, Rita Marcia,Tomasella, Javier,Barbosa, Alexandre Augusto,et al. Land degradation mapping in the MATOPIBA region (Brazil) using remote sensing data and decision-tree analysis[J],2021,782.
APA	da Silva Pinto Vieira, Rita Marcia.,Tomasella, Javier.,Barbosa, Alexandre Augusto.,Polizel, Silvia Palotti.,Henry Balbaud Ometto, Jean Pierre.,...&de Toledo, Peter Mann.(2021).Land degradation mapping in the MATOPIBA region (Brazil) using remote sensing data and decision-tree analysis.SCIENCE OF THE TOTAL ENVIRONMENT,782.
MLA	da Silva Pinto Vieira, Rita Marcia,et al."Land degradation mapping in the MATOPIBA region (Brazil) using remote sensing data and decision-tree analysis".SCIENCE OF THE TOTAL ENVIRONMENT 782(2021).