Multisensor On-The-Go Mapping of Soil Organic Carbon Content

被引:40
作者
Knadel, Maria [1 ]
Thomsen, Anton [1 ]
Greve, Mogens H. [1 ]
机构
[1] Aarhus Univ, Fac Agr Sci, Dep Agroecol & Environm, DK-8830 Tjele, Denmark
关键词
NEAR-INFRARED SPECTROSCOPY; REFLECTANCE SPECTROSCOPY; NIR SPECTROPHOTOMETER; MATTER;
D O I
10.2136/sssaj2010.0452
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Detailed information on field-scale variability of soil organic C (SOC) is essential for improved C management. Conventional sampling methods are costly because of large spatial variability and the high sampling density required. To reduce costs, automated in situ methods are needed. We compared mapping SOC using a mobile sensor platform (MSP) and conventional grid sampling on a highly variable agricultural field in Denmark. Sixty-four samples collected on a 25-m grid were used to generate a reference map of SOC distribution using kriging. Mobile sensory data (visible-near infrared spectra, electrical conductivity [EC], and temperature) obtained with a MSP were used to create a map of predicted C. To predict SOC, a calibration model was developed based on 15 representative samples. The best calibration model using a second Savitzky-Golay derivative on spectral data with EC as auxiliary data resulted in values as follows: root mean square error of prediction = 5.94; R-2 = 0.84; and ratio of standard error of prediction to SD [RPD] = 2.3. This study showed that the quality of those maps can be improved and spatial sampling intensities can be reduced by incorporating auxiliary data as a source of secondary information. An increased RPD value (2.3) was obtained for the sensor fusion measurements in comparison with those obtained using spectral data only (RPD = 1.9). The map based on MSP measurements detected more of the local SOC variation. High values for the error of prediction may have originated from the large SOC range (1.44-42.9%), the small number of calibration samples, and a sampling strategy that was not optimal. We concluded that more samples should be used when mapping highly variable fields.
引用
收藏
页码:1799 / 1806
页数:8
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