Estimación de la salinidad en suelos del delta del río Sinú en Colombia, mediante modelos de regresión lineal múltiple

M., Humberto Narváez; Barrera, Iván Bustamante; C., Enrique Combatt

doi:10.4067/s0718-34292014000300011

Cited by 1 publication

(1 citation statement)

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“…This inference is supported by high correlation coefficients between vegetation cover and water table depths recorded in the water monitoring network. These characteristics are valid for multiple regression models with different objectives [13,60,61]. The statistical performance of the models developed in this research for the wet, dry and annual periods was corroborated by obtaining the best R 2 and R 2 -adjusted values and their statistical significance.…”

Section: Discussionsupporting

confidence: 64%

A Model for Estimating the Vegetation Cover in the High-Altitude Wetlands of the Andes (HAWA)

Soto

Román‐Figueroa

Paneque

2019

Land

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The natural salt meadows of Tilopozo in the hyperarid, Atacama Desert of northern Chile, which are located at approximately 2800 m above sea level, are under pressure from industrial activity, and cultivation and grazing by local communities. In this research, the land surface covered by salt meadow vegetation was estimated from normalized difference vegetation indices (NDVI) derived from Landsat Thematic Mapper (TM), Enhanced Thematic Mapper (ETM+) and Operational Land Imager (OLI) data from 1985 to 2016. The vegetated area of the Tilopozo salt meadows decreased by 34 ha over the 32-year period studied. Multiple regression models of the area covered by vegetation and climate data and groundwater depths were derived on an annual basis, as well as for both the dry and wet seasons and had R2 values of 83.0%, 72.8% and 92.4% respectively between the vegetated areas modeled and those estimated from remotely sensed data. These models are potentially useful tools for studies into the conservation of the Tilopozo salt meadows, as they provide relevant information on the state of vegetation and enable changes in vegetation in response to fluctuations in climate parameters and groundwater depths to be predicted.

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Section: Discussionsupporting

confidence: 64%

A Model for Estimating the Vegetation Cover in the High-Altitude Wetlands of the Andes (HAWA)

Soto

Román‐Figueroa

Paneque

2019

Land

View full text Add to dashboard Cite

show abstract

Estimación de la salinidad en suelos del delta del río Sinú en Colombia, mediante modelos de regresión lineal múltiple

Abstract: Estimación de la salinidad en suelos del delta del río Sinú en Colombia, mediante modelos de regresión lineal múltiple Estimation of salinity in soils of river delta of Sinu in Colombia, through of linear multiple regression models

Cited by 1 publication

References 9 publications

A Model for Estimating the Vegetation Cover in the High-Altitude Wetlands of the Andes (HAWA)

A Model for Estimating the Vegetation Cover in the High-Altitude Wetlands of the Andes (HAWA)

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