Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra

E. Vaudour, J.M. Gilliot,L. Bel, J. Lefevre,K. Chehdi

International Journal of Applied Earth Observation and Geoinformation（2016）

引用 61|浏览29

暂无评分

摘要

•A VIS-NIR 1m—AISA-Eagle image was evaluated for mapping soil organic carbon.•74 field samples/spectra (28 synchronous) spread over 221km2-croplands were used.•Best model=cross-validated PLSR constructed with the synchronous raw spectra.•Regional validation RMSE range of 3.73–4.49gKg−1 and ∼4gKg−1 in median.•Best model achieved regional 3.73/within-field 1.44gKg−1 validation RMSEs.

查看译文

关键词

SOC,Soil organic carbon,Near-synchronous field spectrometry,Vis-NIR airborne,Hyperspectral imagery,Empirical line calibration,Partial least squares regression,Post-validation,RMSE,Bias,Soil surface condition

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要