Modeling forest site productivity using climate data and topographic imagery in Pinus elliottii plantations of central Argentina

被引:0
作者
Santiago Fiandino
Jose Plevich
Juan Tarico
Marco Utello
Marcela Demaestri
Javier Gyenge
机构
[1] National University of Río Cuarto,Department of plant production
[2] CONICET,AER Tandil
[3] INTA EEA Balcarce,undefined
来源
Annals of Forest Science | 2020年 / 77卷
关键词
Site index; Biophysical factors; Digital elevation models; Prediction models; Forest productivity; Córdoba;
D O I
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Utello M(undefined)GIS-based automated landform classification and topographic, landcover and geologic attributes of landforms around the Yazoren Polje, Turkey undefined undefined undefined-undefined
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Gyenge J(undefined)Comparing parametric and non-parametric methods of predicting Site Index for radiata pine using combinations of data derived from environmental surfaces, satellite imagery and airborne laser scanning undefined undefined undefined-undefined
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