Mapping topsoil organic carbon in non-agricultural semi-arid and arid ecosystems of Israel

Thomas Jarmer, Joachim Hill, Hanoch Lavée, Pariente Sarah

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


Mapping of soil organic carbon (SOC) was accomplished with remote sensing methods to assess its spatial variability. The relationship between bi-directional reflectance measurements and soc was investigated with respect to C.I.E. color coordinates. Empirical relationships were generated for the spectral detection of SOC of two semi-arid to arid study sites. These regression models allowed the prediction of SOC with a cross-validated r2 = 0.910 (RMSEcv = 2.825) and r2 of 0.795 (RMSEcv = 2.113), respectively. Because C.I.E. color coordinates were found to be appropriate parameters for predicting the SOC, reflectance values of Landsat TM bands were transformed into C.I.E. color coordinates. The C.I.E. based regression models were applied to a Landsat image to estimate SOC in the spatial domain. Concentrations predicted from satellite data corresponded well with concentration ranges derived from chemical analysis. Estimated concentrations reflect the geographic conditions and depend on annual rainfall, with a general trend to decreasing SOC with increasing aridity.

Original languageEnglish
Pages (from-to)85-94
Number of pages10
JournalPhotogrammetric Engineering and Remote Sensing
Issue number1
StatePublished - Jan 2010


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