2020年中国30 m分辨率红树林分布动态数据集

本数据集包括2020年中国30 m分辨率红树林分布动态数据集，可为生态保育、红树林保护与修复、区域可持续发展提供数据支撑。红树林是生长在潮间带隐蔽地带的热带乔木和灌木，由于红树林周期性地被潮水淹没，精确地绘制红树林图对遥感是一个巨大的挑战。可广泛服务于农业、生态等方面和水文、湿地生态学等相关学科的科学研究工作者及学生。

This dataset contains the 2020 dynamic mangrove distribution dataset of China at a 30-meter spatial resolution, providing data support for ecological conservation, mangrove protection and restoration, as well as regional sustainable development. Mangroves are tropical trees and shrubs that thrive in secluded intertidal zones. Since mangroves are periodically submerged by tides, accurately mapping their distributions poses a significant challenge for remote sensing applications. This dataset can be widely applied to scientific research by researchers and students in fields including agriculture, ecology, hydrology, wetland ecology and other relevant disciplines.

搜集汇总

背景与挑战

背景概述

该数据集是2020年中国30米分辨率红树林分布动态数据，基于Landsat遥感影像采用面向对象分类方法生成，分类精度超过90%，以栅格格式存储，空间投影为Krasovsky_1940_Albers。数据集旨在为红树林生态保育、保护修复及区域可持续发展提供数据支撑，由于红树林生长在潮间带，其精确绘图具有技术挑战性，数据质量经过严格控制，可靠优良。