干旱区生态环境知识资源中心(Arid): Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian Northeast via cloud geoprocessing techniques applied to orbital data

Arid

DOI	10.1016/j.jsames.2022.104164
	Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian Northeast via cloud geoprocessing techniques applied to orbital data
	da Silva, Jhon Lennon Bezerra; Moura, Geber Barbosa de Albuquerque; da Silva, Marcos Vinicius; Oliveira-Junior, Jose Francisco de; Jardim, Alexandre Manicoba da Rosa Ferraz; Refati, Daiana Caroline; Lima, Ricardo da Cunha Correia; de Carvalho, Ailton Alves; Ferreira, Maria Beatriz; de Brito, Jose Ivaldo Barbosa; Guedes, Roni Valter de Souza; Lopes, Pabricio Marcos Oliveira; Nobrega, Ranyere Silva; Pandorfi, Heliton; Bezerra, Alan Cezar; Batista, Pedro Henrique Dias; de Jesus, Fernanda Lamede Ferreira; Sanches, Arthur Carniato; Santos, Rodrigo Couto
通讯作者	da Silva, JLB
来源期刊	JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
ISSN	0895-9811
EISSN	1873-0647
出版年	2023
卷号	121
英文摘要	The spatiotemporal diagnosis of climate variability and environmental changes in arid and semiarid regions is essential to minimize pressures and impacts on natural ecosystems. Remote sensing techniques and satellite images allow the detection of such changes. The study evaluated spatio-temporally the processes of environmental degradation of vegetation cover and water resources via physical-hydric parameters at the surface using remote sensing techniques for the Northeast of Brazil (NEB). Geospatial data from TRMM and MODIS satellites/ sensors, digital cloud processing of vegetation indices (NDVI), water (NDWI and MNDWI), and rainfall were performed for the period 2000 to 2019. The patterns identified in the study were evaluated by multivariate statistics and correlation. The NDVI showed the significant vulnerability of vegetation cover in the Northeastern Semiarid region, due to the intensification of droughts. The spectral behavior of NDVI is due to rainfall, confirmed by principal component analysis (PCA) and correlation. The NDWI and MNDWI detected the pattern of water availability in the semiarid region, with a critical reduction in water bodies. In the space-time analysis, the physical-hydric parameters showed a significant water deficit, followed by severe drought and prolonged drought. MNDWI was efficient and sensitive to open water content, especially in areas covered by water bodies concerning NDWI, and correlated with rainfall. The variability of rainfall directly impacted the dynamics and resilience of vegetation and water bodies in the Northeastern Semiarid region. The critical reduction of areas of water bodies, the increase of non-vegetated areas, and the pressures of anthropic activities are favored.
英文关键词	Water resources Climate variability Drought Water degradation Remote sensing
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:001029542700001
WOS关键词	INDEX NDWI ; DROUGHT ; PRECIPITATION ; DESERTIFICATION ; VARIABILITY ; PERFORMANCE ; DYNAMICS ; PRODUCT ; STATE ; SOIL
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/2XILL650/397573
推荐引用方式 GB/T 7714	da Silva, Jhon Lennon Bezerra,Moura, Geber Barbosa de Albuquerque,da Silva, Marcos Vinicius,et al. Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian Northeast via cloud geoprocessing techniques applied to orbital data[J],2023,121.
APA	da Silva, Jhon Lennon Bezerra.,Moura, Geber Barbosa de Albuquerque.,da Silva, Marcos Vinicius.,Oliveira-Junior, Jose Francisco de.,Jardim, Alexandre Manicoba da Rosa Ferraz.,...&Santos, Rodrigo Couto.(2023).Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian Northeast via cloud geoprocessing techniques applied to orbital data.JOURNAL OF SOUTH AMERICAN EARTH SCIENCES,121.
MLA	da Silva, Jhon Lennon Bezerra,et al."Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian Northeast via cloud geoprocessing techniques applied to orbital data".JOURNAL OF SOUTH AMERICAN EARTH SCIENCES 121(2023).