High-precision Chinese forest cover dataset based on multi-source land cover products

This dataset is a set of high-precision national forest cover data products based on the consistency and complementarity of multi-source land cover products, cloud-free composite images, random forest classification model and multi-level voting strategy.This approach enhances the accuracy of forest resource monitoring, forest management, and forest carbon quantification and evaluation in China. The dataset serves as a fundamental resources for precise forest monitoring information, facilitating informed decision-making in forest management and contributing to the effectiveness of forest management strategies.

本数据集为一套基于多源土地覆盖产品的一致性与互补性、无云合成影像、随机森林（Random Forest）分类模型及多级投票策略构建的高精度国家森林覆盖数据产品。该方法有效提升了我国森林资源监测、森林经营管理以及森林碳量化与评估的精度。本数据集可作为精准森林监测信息的核心基础资源，可为森林管理的科学决策提供支撑，并助力提升森林经营策略的实施效能。