基于高清影像分层抽样技术在森林资源二类调查中的应用探索

Exploration of Stratified Sampling Technologies Based on High Definition Aerial Photogragh for Forest Resources Inventory and Planning

在森林资源原有系统抽样基础上,利用高清影像,结合森林资源底图、经营档案等资料,对所有样地进行逐块判读,获取分层因子,确定各分层的类型和权重,按不同方案的样本量进行分层抽样,开展补充调查,统计不同方案的特征数,并进行对比分析。结果表明:采用高清影像分层抽样技术,可以大幅度减少调查样地数量,提高抽样精度,具有广泛的推广价值。

On the basis of the original systematic sampling of forest resources,using high-definition imagery,combined with forest resources base maps,business archives,and other data,each sample plot is interpreted on a block-by-block basis to obtain stratification factors,and the types and weights of each stratum are determined.The sample size of the plan was sampled by stratification,supplemental surveys were conducted,and the number of features of different scenarios was calculated and compared.The results show that the adoption of high-definition image stratified sampling technology can significantly reduce the number of survey sites and improve the sampling accuracy,which has extensive popularization value.