Arid
DOI10.1016/j.jag.2018.06.016
Use of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid region
Ferraz da Silveira, Hilton Luis1; Galvao, Lenio Soares2; Sanches, Ieda Del’Arco2; de Sa, Iedo Bezerra3; Taura, Tatiana Ayako3
通讯作者Galvao, Lenio Soares
来源期刊INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN0303-2434
出版年2018
卷号73页码:179-190
英文摘要

The Caatinga is an important ecosystem in the semi-arid region of northeast Brazil and a natural laboratory for the study of plant adaptation to seasonal water stress or prolonged droughts. The soil water availability for plants depends on plant root depth and soil properties. Here, we combined for the first time the remote sensing classification of Caatinga physiognomies with soil information derived from geostatistical analysis to relate vegetation distribution with physico-chemical attributes of soils. We evaluated the potential of multi-temporal data acquired by the MultiSpectral Instrument (MSI)/Sentinel-2 for Random Forest (RF) classification of seven physiognomies. In addition, we analyzed the contribution of airborne LiDAR metrics to improve classification accuracy compared to six vegetation indices (VIs) and 10 reflectance bands from the MSI instrument. Using a detailed soil survey, the spatial distribution of the vegetation physiognomies mapped by RF was associated with the variability of 20 physico-chemical attributes of 75 soil profiles submitted to principal components analysis (PCA) and ordinary kriging. The results showed gains in overall classification accuracy with use of the multi temporal data over the mono-temporal observations. Gains in classification of arboreous Caatinga were also observed after the insertion of LiDAR metrics in the analysis, especially the percentage of vegetation cover with height greater than 5 m, the terrain elevation and the standard deviation of vegetation height. Overall, the most important metrics for classification were the VIs, especially the Enhanced Vegetation Index (EVI), Normalized Difference Infrared Index (NDII-1), Optimized Soil-Adjusted Vegetation Index (OSAVI) and the Normalized Difference Vegetation Index (NDVI). The most important MSI/Sentinel-2 bands were positioned in the red-edge spectral interval. From PCA, soil attributes responsible for most of the data variance were related to soil fertility, soil depth and rock fragments in the surface horizon. The amounts of gravels and pebbles were factors of physiognomic variability with shrub and sub-shrub Caatinga occurring preferentially over shallow and stony soils. By contrast, arboreous Caatinga occurred over soils with total profile depth greater than 1 m. Finally, areas of sub-shrub Caatinga had greater values of cation exchange capacity (CEC) and water retention at field capacity than areas of arboreous Caatinga. The differences were statistically significant at 95% confidence level, as indicated by Mann-Whitney U tests.


英文关键词Caatinga Random forest Classification Principal components analysis Kriging
类型Article
语种英语
国家Brazil
收录类别SCI-E
WOS记录号WOS:000446291100016
WOS关键词LAND-COVER ; NORTHEASTERN BRAZIL ; RANDOM FOREST ; AVIRIS DATA ; CAATINGA ; ECOSYSTEMS ; CALIFORNIA ; INDEXES ; IMAGERY
WOS类目Remote Sensing
WOS研究方向Remote Sensing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/210139
作者单位1.Empresa Brasileira Pesquisa Agr, Embrapa Solos, Rua Antonio Falcao 402, BR-51020240 Recife, PE, Brazil;
2.Inst Nacl Pesquisas Espaciais, Div Sensoriamento Remoto, Av Astronautas 1758, BR-12227010 Sao Jose Dos Campos, SP, Brazil;
3.Empresa Brasileira Pesquisa Agr, Embrapa Semiarido, Rodovia BR 428,Km 152, BR-56302970 Petrolina, PE, Brazil
推荐引用方式
GB/T 7714
Ferraz da Silveira, Hilton Luis,Galvao, Lenio Soares,Sanches, Ieda Del’Arco,et al. Use of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid region[J],2018,73:179-190.
APA Ferraz da Silveira, Hilton Luis,Galvao, Lenio Soares,Sanches, Ieda Del’Arco,de Sa, Iedo Bezerra,&Taura, Tatiana Ayako.(2018).Use of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid region.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,73,179-190.
MLA Ferraz da Silveira, Hilton Luis,et al."Use of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid region".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 73(2018):179-190.
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