Identifying artificially drained pasture soils using machine learning and Earth observation imagery-Reference-Cited by-同舟云学术

Identifying artificially drained pasture soils using machine learning and Earth observation imagery

Author:

O’Hara Rob¹,Green Stuart¹,McCarthy Tim²,Cahalane Conor³,Fenton Owen⁴,Tuohy Pat⁵

Affiliation:

1. Teagasc, Ashtown Food Research Centre, Rural Economy and Development Programme, Dublin 15

2. Maynooth University, National Centre for Geocomputation, County Kildare

3. Maynooth University, Department of Geography, County Kildare

4. Teagasc, Environmental Research Centre, Johnstown Castle, County Wexford

5. Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, County Cork

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference67 articles.

2. Drumlin soils: the depression of herbage yield by shallow water table depth;Brereton,1988

5. The drainage of impermeable soils in high rainfall areas;Galvin,1983

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