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黄河下游滩区1985-2020年30 m分辨率土地利用/覆被变化数据集

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黄河下游滩区是黄河流域的重要组成部分。建立长序列、高精度的黄河下游滩区土地利用/覆被变化数据集,再现其历史轨迹,把握现实格局,对黄河下游滩区高质量发展及其相关问题的科学研究而言,是一项具有重要意义的基础性工作。本文选取1985-2010年36景Landsat5 TM、2015-2020年8景GF-1WFV和12景Landsat8 OLI遥感影像,采用随机森林、人机交互解译和混淆矩阵精度评价等方法,研制了 1985-2020年每5年共8期黄河下游滩区土地利用/覆被变化数据。数据空间分辨率为30 m,总体精度均达90%以上,Kappa系数高于0。85。本数据集可为区域生态环境保护、国土空间规划、黄河流域典型区域自然-人文系统耦合过程、机理、测度等研究提供科学数据支撑。
A dataset of land use/cover change with a resolution of 30m in the floodplain of the lower Yellow River from 1985 to 2020
The floodplain of the lower Yellow River is a significant component of the Yellow River Basin.To better understand its historical trajectory and current patterns,it is beneficial to map a long-term and highly reliable dataset of land use/land cover change for the floodplain of the lower Yellow River.For this purpose,in this study,we selected 36 Landsat5 TM remote sensing images from 1985 to 2010,along with 8 GF-1 WFV and 12 Landsat8 OLI remote sensing images from 2015 to 2020.By using random forest and human-computer interactive interpretation,as well as confusion matrix accuracy evaluation,we developed the land use/cover change data of the floodplain of the lower Yellow River in eight periods every five years from 1985 to 2020.The dataset has a spatial resolution of 30 m,and an overall accuracy of over 90%,with a Kappa coefficient exceeding 0.85.This dataset can provide scientific data for regional ecological protection,national spatial planning,coupled natural-human system processes,mechanisms,measurements in typical regions of the Yellow River Basin.

floodplain of the lower Yellow Riverrandom forestland use/cover changeraster data

杨帆、宗丽佳、周胜男、杨东阳

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河南大学黄河文明与可持续发展研究中心,河南开封 475001

中国科学院地理科学与资源研究所,北京 100101

黄河下游滩区 土地利用/覆被变化 随机森林 栅格数据

2024

中国科学数据(中英文网络版)

中国科学数据(中英文网络版)

CSTPCD
ISSN:2096-2223
年,卷(期):2024.9(2)