摘要
耕地复种指数是开展耕地地力评价、农业生态评价等的重要参数,遥感技术的发展使得高时空分辨率耕地复种指数监测成为可能。本文基于Sentinel-2数据,采用Savitzky-Golay滤波方法和二次差分法,开展了海南岛耕地复种指数提取方法研究,并结合2020年地面样本数据进行验证,在此基础上提取了2016年和2020年海南岛耕地复种指数数据集。该方法利用遥感数据提取得到的2020年海南岛耕地复种指数总体精度达91.9%,Kappa系数为0.9。本数据集可作为海南耕地复种时空变化分析的基础数据,也可为海南省开展农业生态资源监管,实施热带高效农业可持续发展战略提供数据和决策支撑。
The multiple cropping index is an important parameter for the evaluation of cultivated land fertility and agroecological evaluation.The development of remote sensing technology makes it possible to monitor multiple cropping indexes with high temporal and spatial resolution.Based on Sentinel-2 data,we used in this paper the Savitzky-Golay filtering method and the quadratic difference method to carry out a research on the extraction of the multiple cropping indexes on Hainan Island.We combined the ground sample data in 2020 for verification to produce a dataset of multiple cropping indexes on Hainan Island in 2016 and 2020.The overall accuracy of the multiple cropping indexes obtained by remote sensing extraction in this way is 91.9%,and the Kappa coefficient is 0.9.This dataset can be used as basic data for the analysis of temporal and spatial changes of cultivated lands in Hainan.Moreover,it can also provide data reference and decision support for Hainan Province to carry out the supervision of agricultural ecological resources and implement the sustainable development strategy of tropical high-efficiency agriculture.
作者
郭佳炜
叶回春
聂超甲
崔贝
黄文江
GUO Jiawei;YE Huichun;NIE Chaojia;CUI Bei;HUANG Wenjiang(Key Laboratory of Earth Observation of Hainan Province,Hainan Research Institute,Aerospace Information Research Institute,Chinese Academy of Sciences,Sanya 572029,P.R.China;Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,P.R.China;School of Marine Technology and Geomatics,Jiangsu Ocean University,Lianyungang 222005,P.R.China)
基金
海南省重大科技计划项目(ZDKJ2019006)
三亚市农业科技创新项目(2019NK17)。
