基于植被指数融合的冬小麦生物量反演研究

作物群体生物量是形成产量的物质基础,遥感技术是高效、客观监测作物地上生物量的重要手段,对农业生产管理具有重要意义.以安徽省龙亢农场为研究区,通过PROS AIL模拟光谱分析了 4个LAI相关的可见光-近红外植被指数、2个叶片干物质相关的短波红外植被指数和8个融合植被指数与冬小麦地上生物量的关系,并建立反演模型.模拟结果...

Research on Retrieving Biomass of Winter Wheat based on Fusing Vegetation Index

Crop biomass is a vital fundamental substance for predicting yield. Remote sensing is an important technology to monitor crop above-ground biomass efficiently and objectively， which is of great significance for agricultural production and management. Taking Longkang farm in Anhui province as the research area， this paper analyzes the relationship between aboveground biomass of winter wheat and 4 LAI-VIs， 2 DMIs and 8 combined vegetation indices by PROSAIL simulation spectrum， and builds retrieval models. The results show that the correlation between DMIs and crop biomass is higher than LAI-VIs， and the combined vegetation index enhances the crop biomass detection ability of commonly used vegetation indices. The biomass retrieval models are validated with the measured biomass of winter wheat， and the results show that the combined vegetation index generally improves the above-ground biomass retrieval accuracy of single vegetation index， among which MTVI2×NDMI has the highest accuracy （RMSE=606.8 kg/hm²）.This paper provides a new technique for high precision retrieval of crop above-ground biomass.