干旱区生态环境知识资源中心(Arid): Remote sensing techniques via Google Earth Engine for land degradation assessment in the Brazilian semiarid region, Brazil

Arid

DOI	10.1016/j.jsames.2022.104061
	Remote sensing techniques via Google Earth Engine for land degradation assessment in the Brazilian semiarid region, Brazil
	da Silva, Marcos Vinicius; Pandorfi, Heliton; de Oliveira-Junior, Jose Francisco; da Silva, Jhon Lennon Bezerra; de Almeida, Gledson Luiz Pontes; Montenegro, Abelardo Antonio de Assuncao; Mesquita, Marcio; Ferreira, Maria Beatriz; Santana, Taize Calvacante; Marinho, Gabriel Thales Barboza; da Costa, Adriana Rodolfo; Giongo, Pedro Rogerio
通讯作者	da Silva, MV
来源期刊	JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
ISSN	0895-9811
EISSN	1873-0647
出版年	2022
卷号	120
英文摘要	Land degradation is a major challenge worldwide, limiting socio economical development and jeopardizing biodiversity, being associated to changes in land use and to climate variability. FAO shows that the world's soils have environmental degradation in large scale, particularly in semiarid areas, reducing environmental services, and impacting agriculture and livestock. Therefore, the objective was to evaluate the spatio-temporal dynamics of vegetation cover and land degradation in the microregion of Vale do Ipojuca in the Pernambuco State (Caatinga biome), in the Brazilian semiarid region, through vegetation indices. Land use and land cover maps (LULC), Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI), and Normalized Difference Water Index (NDWI) were determined based on the annual average between the years 2014-2021. The water bodies showed remarkable reductions between 2014 and 2016, when the values were 1226, 789, and 558 ha, respectively. As observed in the NDVI, from the year 2017 onwards, the LAI values were resilient. The deter-mination of vegetation indices associated with LULC maps and data, allowed us to accurately validate the re-sponses of the indices studied in the semiarid region. The approach highlights the strong resilience of the Caatinga Biome. A robust methodology is presented in this study, being compatible for existing arid regions in the world.
英文关键词	Vegetation cover Surface water bodies Land use and land cover Caatinga biome Environmental restoration
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000933881600001
WOS关键词	EVAPOTRANSPIRATION
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393598
推荐引用方式 GB/T 7714	da Silva, Marcos Vinicius,Pandorfi, Heliton,de Oliveira-Junior, Jose Francisco,et al. Remote sensing techniques via Google Earth Engine for land degradation assessment in the Brazilian semiarid region, Brazil[J],2022,120.
APA	da Silva, Marcos Vinicius.,Pandorfi, Heliton.,de Oliveira-Junior, Jose Francisco.,da Silva, Jhon Lennon Bezerra.,de Almeida, Gledson Luiz Pontes.,...&Giongo, Pedro Rogerio.(2022).Remote sensing techniques via Google Earth Engine for land degradation assessment in the Brazilian semiarid region, Brazil.JOURNAL OF SOUTH AMERICAN EARTH SCIENCES,120.
MLA	da Silva, Marcos Vinicius,et al."Remote sensing techniques via Google Earth Engine for land degradation assessment in the Brazilian semiarid region, Brazil".JOURNAL OF SOUTH AMERICAN EARTH SCIENCES 120(2022).