基于遥感技术的耕地复种指数研究进展

PROGRESS IN MULTIPLE CROP INDEX BASED ON REMOTE-SENSING TECHNOLOGIES

关键词:  关键词 遥感 复种指数 植被指数 平滑 峰值法

Key words:  Key words: remote sensing  multiple crop Index  vegetation Index  smoothing  peak Value

摘要:

摘 要 复种是我国重要的农作制度之一，对于提高我国耕地综合生产能力和确保国家粮食安全具有重要 作用。该文在介绍复种指数基本概念和研究方法的基础上，对基于遥感技术的耕地复种指数研究进展进行 了评述，尤其对时序植被指数平滑方法和复种指数的判别方法等两个关键技术进行了详细阐述。该文提出 了遥感技术和地面观测的结合将是未来耕地复种指数遥感监测的发展趋势之一。如何进行遥感数据平滑最 优化处理，以及获取高时空分辨率遥感数据及规范准确的地面观测数据将是需要重点解决的关键问题。

Abstract:

Abstract: Multiple cropping is one of major cropping systems in China and plays an important role in improving comprehensive productivity of cultivated land and ensuring national food security. Upon a brief introduction of con- cept and research methodology in multiple crop index（MCI）， this article reviewed the studies on MCI by using re- motely sensed data. Particular attention was paid to two key technologies， i.e.， smoothing vegetation index time -series data and extracting MCI from time-series data. The article also pointed out that the combination of remote -sensing with ground observation will be one of MCI study trends. How to optimize the smoothing of vegetation in- dex time-series data and to acquire high spatio-temporal resolution satellite data and accurate ground observation data were the priority issues in future studies.