2010-2021年贵安30米LUCC数据集（第一版）

数据的主要内容是贵安在2010-2021年的LUCC，数据来源于地理空间数据云平台，尽量选择云量较少的遥感影像，然后进行辐射定标与大气校正，然后使用随机森林分类，协助历史高分辨率影像进行目视解译，最终得到贵安2010-2021年的土地利用分类结果，确定分为耕地、林地、建设用地、水体、裸地，分类完成后通过混淆矩阵进行精度评价，总体精度在80%以上则导出分类结果，否则重新分类。此数据在项目中的作用：对处于亚热带中的贵安区域进行土地利用分类，研究区域内的土地变化情况，可以在一定程度上为生态安全研究提供参考依据。

The core content of this dataset is the Land Use and Land Cover Change (LUCC) of the Gui'an region from 2010 to 2021. The data is sourced from the Geospatial Data Cloud platform. First, remote sensing images with relatively minimal cloud cover were selected, followed by radiometric calibration and atmospheric correction. Subsequently, random forest classification was adopted, with the assistance of visual interpretation using historical high-resolution images, to ultimately generate the land use classification results for Gui'an between 2010 and 2021. The classification results are divided into five categories: cultivated land, forest land, construction land, water bodies, and bare land. After completing the classification, accuracy evaluation was carried out via a confusion matrix. If the overall accuracy exceeds 80%, the classification results will be exported; otherwise, the classification workflow will be repeated. The application of this dataset in the research project is as follows: conducting land use classification for the subtropical Gui'an region to analyze regional land use changes, which can provide a certain reference for ecological security research.

搜集汇总

背景与挑战

背景概述

该数据集包含2010-2021年贵安地区的30米分辨率土地利用/覆盖变化（LUCC）数据，采用随机森林分类方法辅助视觉解译历史高分辨率影像，分类结果包括耕地、林地、建设用地、水体和裸地等类别，分类精度超过80%。数据集主要用于亚热带地区贵安区域的土地利用分类和土地变化研究，为生态安全研究提供参考依据。