干旱区生态环境知识资源中心(Arid): Space-temporal detection of environmental changes in the Brazilian semiarid through Google Earth Engine and GIS

Arid

DOI	10.1016/j.jsames.2023.104403
	Space-temporal detection of environmental changes in the Brazilian semiarid through Google Earth Engine and GIS
	de Oliveira Junior, Jose Galdino; Lopes, Pabricio Marcos Oliveira; Nascimento, Cristina Rodrigues; de Albuquerque Moura, Geber Barbosa; de Oliveira Junior, Jose Francisco
通讯作者	de Oliveira, JG Jr
来源期刊	JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
ISSN	0895-9811
EISSN	1873-0647
出版年	2023
卷号	127
英文摘要	Land Use and Land Cover Changes (LULCC) are the leading cause of worldwide land degradation. However, efficient means of detecting and monitoring these environmental changes improve the understanding of this process, especially in developing more effective policies to combat land degradation. This study evaluated the space-temporal trends of ecological changes in the Cabrob ' o's Desertification Nucleus (CDN), Pernambuco, Brazilian semiarid region, between 2001 and 2021. For this, we manipulated CHIRPS data, MODIS products (MOD13A1, MOD11A2, MCD43A3, and MOD16A2), and MapBiomas data in the Google Earth Engine (GEE) digital platform and the QGIS software (version 3.10.9). First, we calculated surface albedo and Vegetation Health Index (VHI). After that, we performed a space-temporal trend assessment for all biophysical parameters via non-parametric tests Mann-Kendall (MK) and Sen's Slope Estimator (SSE). In addition, we analyzed LULCC over the last 21 years using MapBiomas. The results obtained showed the effectiveness of using these orbital products for long-term environmental analysis, as well as highlighting the municipalities of Bele ' m do Sa similar to o Francisco, Itacuruba, and Floresta with significant trends at the 1% probability level of the biophysical indices (from decrease to potential evapotranspiration, NDVI and VHI, and addition to albedo and surface temperature) due to a more change in land use and cover. This methodology proved effective for studies on the discrimination of space-temporal trends in the CDN region. It will apply in other Caatinga areas after the appropriate meth-odological adjustments. All scripts generated in this work can be accessed and manipulated through the LDA Tool repository in the GEE platform.
英文关键词	Caatinga SITS Space-temporal trends Land degradation MapBiomas
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000999207900001
WOS关键词	LAND DEGRADATION ; QUANTITATIVE ASSESSMENT ; RAINFALL VARIABILITY ; TREND ANALYSIS ; MANN-KENDALL ; RIVER-BASIN ; DROUGHT ; EVAPOTRANSPIRATION ; DESERTIFICATION ; NORTHEAST
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/2XILL650/397578
推荐引用方式 GB/T 7714	de Oliveira Junior, Jose Galdino,Lopes, Pabricio Marcos Oliveira,Nascimento, Cristina Rodrigues,et al. Space-temporal detection of environmental changes in the Brazilian semiarid through Google Earth Engine and GIS[J],2023,127.
APA	de Oliveira Junior, Jose Galdino,Lopes, Pabricio Marcos Oliveira,Nascimento, Cristina Rodrigues,de Albuquerque Moura, Geber Barbosa,&de Oliveira Junior, Jose Francisco.(2023).Space-temporal detection of environmental changes in the Brazilian semiarid through Google Earth Engine and GIS.JOURNAL OF SOUTH AMERICAN EARTH SCIENCES,127.
MLA	de Oliveira Junior, Jose Galdino,et al."Space-temporal detection of environmental changes in the Brazilian semiarid through Google Earth Engine and GIS".JOURNAL OF SOUTH AMERICAN EARTH SCIENCES 127(2023).