Title: Digital mapping of Soil Organic Carbon Stocks in forest lands integrating geospatial environmental covariates
Credits 2021
Efraín Duarte (a,b), Erick Zagal (a), Juan A. Barrera (a), Francis Dube (c), Fabio Casco (d) and Alexander J. Hernández (e).
a Department of Soils and Natural Resources, Faculty of Agronomy, University of Concepcion, Vicente Méndez 595, Casilla 537, Chillán 3812120, Chile; efrainduarte@udec.cl (E.D.); jbarrera@udec.cl (J.A.B.); ezagal@udec.cl (E.Z).
b Faculty of Agronomy, University of Concepcion, Vicente Méndez 595, Casilla 537, Chillán 3812120, Chile.
c Department of Silviculture, Faculty of Forest Sciences, University of Concepcion, Victoria 631, Casilla 160-C, Concepción 4030000, Chile; fdube@udec.cl
d Food and Agriculture Organization (FAO) of the United Nations, Tegucigalpa, Honduras; fabio.cascogutierrez@fao.org
e U.S. Department of Agriculture, Agricultural Research Service. , Utah State University, Logan, UT 84322-6300, USA; alexander.hernandez@usda.gov
Soil Organic Carbon Code (SOC-Code) is a Google Earth Engine (GEE) cloud-based script compendium for Digital mapping of Soil Organic Carbon Stocks in forest lands integrating geospatial environmental covariates and field data from forest inventories.
The complete model contains 5 steps that must be applied in the order indicated.
(i) selection of a geospatial dataset;
(ii) data pre-processing;
(iii) model building/development;
(iv) evaluation of the model performance; and
(v) mapping of SOC.
Soil Organic Carbon Code (SOC-Code) is available in Google Earth Engine (GEE) cloud computing platform at the following link: https://code.earthengine.google.com/050344e5f7f941a64b8e02ed37fbd713