| This article has been：Browse 1706Times Download 2313Times |
|
|
|
| DOI： |
|
| Estimating Water Content in Soils of Different Bulk Densities Using Digital Image |
|
DIAO Wanying, LIU Gang
|
|
China Agricultural University, Beijing 100193, China
|
| Abstract: |
| Taking loam, red and black soils as examples, we investigated the impact of bulk density on accuracy of the soil water content estimated using digital images such as their brightness and saturation. The results show that for the less dese loam at bulk density of 1 400 kg/m3, the correlation coefficient (R2) between image information and water content is 0.93 with a root mean square error (RMSE) of 0.04 m3/m3. The correlation for the red soil at bulk density of 1 600 kg/m3 is similar with a R2 of 0.93 and RMSE of 0.03 m3/m3. The R2 and RMES for the densest black soil at bulk density of 1 600 kg/m3 are 0.87 and 0.07 m3/m3 respectively. Considering the change insoil bulk density, the R2 and RMSE in the models establishedfor the red soil are R2=0.72 and RMSE=0.06 m3/m3, for the loam are R2=0.70 and RMSE=0.07 m3/m3, and for the black soil are R2=0.60 and RMSE =0.07 m3/m3. It is hence feasible to estimate soil surface water content using on digital camera. |
| Key words: volumetric water content; soil bulk density; value; saturation |
|
|
