Spectral reflectance characteristics of soils in northeastern Brazil as influenced by salinity levels

被引:0
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作者
Luiz Guilherme Medeiros Pessoa
Maria Betânia Galvão Dos Santos Freire
Bradford Paul Wilcox
Colleen Heather Machado Green
Rômulo José Tolêdo De Araújo
José Coelho De Araújo Filho
机构
[1] Universidade Federal Rural de Pernambuco,Department of Agronomy
[2] Texas A&M University,Department of Ecosystem Science and Management
[3] National Operations Center,U. S. Department of the Interior, Bureau of Land Management
[4] Brazilian Agricultural Research Corporation,undefined
[5] EMBRAPA,undefined
来源
Environmental Monitoring and Assessment | 2016年 / 188卷
关键词
Soil salinity; Soil sodicity; Salinity monitoring; Semiarid;
D O I
暂无
中图分类号
学科分类号
摘要
In northeastern Brazil, large swaths of once-productive soils have been severely degraded by soil salinization, but the true extent of the damage has not been assessed. Emerging remote sensing technology based on hyperspectral analysis offers one possibility for large-scale assessment, but it has been unclear to what extent the spectral properties of soils are related to salinity characteristics. The purpose of this study was to characterize the spectral properties of degraded (saline) and non-degraded agricultural soils in northeastern Brazil and determine the extent to which these properties correspond to soil salinity. We took soil samples from 78 locations within a 45,000-km2 site in Pernambuco State. We used cluster analysis to group the soil samples on the basis of similarities in salinity and sodicity levels, and then obtained spectral data for each group. The physical properties analysis indicated a predominance of the coarse sand fraction in almost all the soil groups, and total porosity was similar for all the groups. The chemical analysis revealed different levels of degradation among the groups, ranging from non-degraded to strongly degraded conditions, as defined by the degree of salinity and sodicity. The soil properties showing the highest correlation with spectral reflectance were the exchangeable sodium percentage followed by fine sand. Differences in the reflectance curves for the various soil groups were relatively small and were not significant. These results suggest that, where soil crusts are not present, significant challenges remain for using hyperspectral remote sensing to assess soil salinity in northeastern Brazil.
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