Arid
DOI10.1016/j.jsames.2021.103580
Principal component analysis and biophysical parameters in the assessment of soil salinity in the irrigated perimeter of Bahia, Brazil
da Silva, Diego Castro; Oliveira Lopes, Pabricio Marcos; da Silva, Marcos Vinicius; de Albuquerque Moura, Geber Barbosa; Nascimento, Cristina Rodrigues; Barbosa Brito, Jose Ivaldo; de Franca e Silva, Enio Farias; Rolim, Mario Monteiro; de Lima, Renato Paiva
通讯作者da Silva, DC (corresponding author), Fed Rural Univ Pernambuco UFRPE, Recife, PE, Brazil.
来源期刊JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
ISSN0895-9811
EISSN1873-0647
出版年2021
卷号112
英文摘要Soil salinity is an environmental concern which can lead to land desertification. It is a common problem in the semiarid region of northeastern Brazil and its impacts extend from the environment to the economy. The objective of this study was to evaluate soil salinity in the dry period in an agricultural area of irrigated Manicoba perimeter, in Juazeiro, State of Bahia, Brazil. The study was carried out in an agricultural area of the irrigated perimeter in Juazeiro of Bahia, Brazil, where 98 disturbed soil samples were collected in different areas, being 33 samples to obtain Electrical Conductivity (EC) (dS m-1) and regression models, and 65 samples to validate the models. Images from the Landsat-8 and Sentinel-2 satellites were used to obtain the biophysical parameters: NDVI, SAVI, EVI, and GDVI vegetation indices, SI-1, SI-2, SI-3, and IB salinity indices, albedo, temperature (TSUP), and real evapotranspiration (ETR). Descriptive statistics and principal component analysis (PCA) were applied to identify majors EC and biophysical parameters relationships, and select the best predictors to generate equations capable of estimating soil salinity across the irrigated perimeter. The EC showed a high standard deviation and coefficient of variation compared to the other variables, with higher concentrations observed in areas of bare soil, followed by natural vegetation and agricultural vegetation. TSUP and GDVI were the predictors most strongly related to EC, for images Landsat-8 and Sentinel-2 respectively, with R2 of 73% and 71%. The application of the generated models presented satisfactory validation for two distinct areas. The maps obtained were similar in terms of the distribution of soil saline levels, confirming what was observed in the field scale, with a greater level of detail for the map from Sentinel-2.
英文关键词Multivariate Remote sensing Salinity Semiarid
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000708299000006
WOS关键词LANDSAT 8 OLI ; VEGETATION ; SENTINEL-2 ; INDEX
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/2XILL650/368145
作者单位[da Silva, Diego Castro; Oliveira Lopes, Pabricio Marcos; da Silva, Marcos Vinicius; de Franca e Silva, Enio Farias; Rolim, Mario Monteiro; de Lima, Renato Paiva] Univ Fed Rural Pernambuco, Dept Agr Engn, Dom Manoel de Medeiros Ave SN, BR-52171900 Recife, PE, Brazil; [Oliveira Lopes, Pabricio Marcos; de Albuquerque Moura, Geber Barbosa; Nascimento, Cristina Rodrigues] Univ Fed Rural Pernambuco, Dept Agron, Dom Manoel de Medeiros Ave SN, BR-52171900 Recife, PE, Brazil; [Barbosa Brito, Jose Ivaldo] Univ Fed Campina Grande, Acad Unit Atmospher Sci, Aprigio Veloso Ave 882, BR-58109970 Campina Grande, Paraiba, Brazil
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da Silva, Diego Castro,Oliveira Lopes, Pabricio Marcos,da Silva, Marcos Vinicius,et al. Principal component analysis and biophysical parameters in the assessment of soil salinity in the irrigated perimeter of Bahia, Brazil[J],2021,112.
APA da Silva, Diego Castro.,Oliveira Lopes, Pabricio Marcos.,da Silva, Marcos Vinicius.,de Albuquerque Moura, Geber Barbosa.,Nascimento, Cristina Rodrigues.,...&de Lima, Renato Paiva.(2021).Principal component analysis and biophysical parameters in the assessment of soil salinity in the irrigated perimeter of Bahia, Brazil.JOURNAL OF SOUTH AMERICAN EARTH SCIENCES,112.
MLA da Silva, Diego Castro,et al."Principal component analysis and biophysical parameters in the assessment of soil salinity in the irrigated perimeter of Bahia, Brazil".JOURNAL OF SOUTH AMERICAN EARTH SCIENCES 112(2021).
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