关键词: 航空高光谱, 土壤质量, 反演, 黑土地, 综合评价模型

Abstract: The evaluation of black soil quality can provide important reference for the protection and sustainable development and utilization of black soil resources. With the advantages of high spectral resolution, wide data coverage and strong timeliness, aerial hyperspectral technology has initially shown its application value in black soil quality index survey. In order to further play the role of hyperspectral technology in black soil quality evaluation, a comprehensive evaluation method of black soil quality based on aerial hyperspectral technology was proposed. Taking Hailun area in Heilongjiang province as an example, CASI/SASI airborne hyperspectral data were obtained in bare soil period and crop growth period respectively, and the ground samples were collected simultaneously. Through laboratory analysis, 15 index data including nutrient index, environmental index and crop growth index were obtained. The content of each evaluation index was inversed by partial least square method, and the comprehensive evaluation model was established by analytic hierarchy process. The comprehensive evaluation results of black soil quality in the study area were obtained by taking the actual plot as the evaluation unit. The inversion results showed that the modeling accuracy of organic matter was the highest, R2 was 0.813, and the modeling accuracy of nutrient and crop index exceeded 0.7, and that of heavy metal elements was larger than 0.6. The overall inversion results were satisfactory. The grade of plots in the study area was at the second-class or above, among which the area of first-class (high-quality) plots accounted for 38.38% of the whole area, the area of second-class (good) plots accounted for 61.62% of the whole area, and the overall soil quality was relatively high. The consistency rate between the evaluation results and the ground verification results was 97.60%, indicating the reliability of the evaluation results. The research results could provide technical support for rapid evaluation of black land quality at field scale.

Key words: aerial hyperspectral, soil quality, inversion, black soil, comprehensive evaluation model