1980-2020年滇中地区30米LULC分类数据集（第一版）

该数据集为云南省滇中地区1980-2020年的土地利用/土地覆盖数据，含33个子数据。数据均通过Google earth engine平台中的支持向量机分类器生产。在生产过程中，所有的流程都被严格地监督和执行，比如高质量影像数据合成、样本点筛选、精度评价等 。数据的平均总体精度大于85%，具有一定可靠性。数据可为后续的土地利用/土地覆盖变化研究提供基础；同时，可为滇中地区的土地资源管理、自然资源调查以及环境监测等提供数据基础。

This dataset consists of 33 sub-datasets that record land use/land cover (LULC) data for the central Yunnan region, Yunnan Province, covering the 1980–2020 period. All datasets were generated using the Support Vector Machine (SVM) classifier on the Google Earth Engine (GEE) platform. During the production process, all workflows were rigorously supervised and implemented, including high-quality remote sensing image synthesis, sample point screening, accuracy evaluation, and other relevant procedures. The average overall accuracy of the dataset exceeds 85%, demonstrating its considerable reliability. This dataset can serve as a foundational resource for subsequent research on land use/land cover change, and provides reliable data support for land resource management, natural resource investigation, and environmental monitoring in the central Yunnan region.

搜集汇总

背景与挑战

背景概述

该数据集是1980年至2020年滇中地区的30米分辨率土地利用/土地覆盖（LULC）分类产品，基于Landsat系列卫星影像，在Google Earth Engine平台利用支持向量机分类器生成，平均总体精度超过85%。数据包含33个子数据集，适用于滇中地区的土地利用变化研究、土地资源管理和环境监测。