کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4573970 1629500 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Airborne hyperspectral imaging of spatial soil organic carbon heterogeneity at the field-scale
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
Airborne hyperspectral imaging of spatial soil organic carbon heterogeneity at the field-scale
چکیده انگلیسی

A detailed knowledge on the heterogeneity of the soil organic carbon (SOC) content in agricultural soils is required to support applications such as precision agriculture and soil C monitoring. Imaging spectroscopy in the visible (VIS) and near-infrared (NIR) region has proven to be highly sensitive to organic soil components and can efficiently provide data with high spatial resolution. The objectives of our study were (i) to test the suitability of airborne hyperspectral imaging for the characterisation of the spatial heterogeneity of the SOC content at the field-scale, (ii) to investigate the impact of various soil surface conditions (roughness, vegetation) on SOC prediction and (iii) to produce SOC maps for arable fields on a pixel-wise basis. The soil reflectance was recorded by the aircraft-mounted hyperspectral sensor HyMap (450–2500 nm) on test sites with the following varying soil surface conditions: bare soil, fine seed-bed; ploughed, bare soil; volunteer crops; straw residues. A partial least squares regression (PLSR) was performed for data analysis. Our results reveal an accurate prediction of the SOC content at a comparatively small concentration range (8.3 to 18.5 g SOC kg− 1) on long-term uniformly cultivated fields. Site-specific characteristics influenced the calibration models; highest prediction accuracy was performed over a bare, fine soil (RMSEP = 0.76 g SOC kg− 1; RPD = 2.08). A generated pixel-wise map (8 m × 8 m) allows the detection of small-scale spatial variability of SOC content and comparatively more realistic than an interpolated map. Thus, airborne hyperspectral imaging constitutes a substantial progress compared to point observations and facilitates well-directed applications in precision agriculture.


► Soil organic carbon (SOC) is heterogeneously distributed within agricultural fields.
► Accurate SOC prediction was done with airborne hyperspectral imaging at field-scale.
► A pixel-wise map of SOC content is more realistic than an interpolated map.
► Imaging spectroscopy is a useful tool for precision agriculture and soil C monitoring.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Geoderma - Volumes 175–176, April 2012, Pages 21–28
نویسندگان
, , , ,