武汉城市圈三维土壤质地

本数据集基于30米分辨率土地利用数据、6层（0、10、30、60、100 和 200 cm）300米分辨率土壤质地（黏土、沙土、壤土）比例数据以及中国土壤调查数据生产，包括30m分辨率6层黏土、沙土和壤土比例数据。数据集为定值，空间分辨率为30米，空间范围为武汉1+8城市圈，首先基于多源数据和广义回归神经网络（GRNN）机器学习方法完成中国区域30米分辨率的土壤质地数据；然后对6层30米分辨率的土壤质地数据进行数据分块，满足数据需求，实现模式可用，数据大小271MB。

This dataset is developed from three sources: 30-meter resolution land use data, 300-meter resolution proportional soil texture data (clay, sand and loam) for 6 layers (0, 10, 30, 60, 100 and 200 cm), and China's soil survey data. It includes 30-meter resolution proportional data of clay, sand and loam for the 6 layers. This is a static dataset with a spatial resolution of 30 meters, and its spatial coverage is the Wuhan "1+8" Urban Agglomeration. The dataset production consists of two main stages: first, the 30-meter resolution soil texture data across China was generated using multi-source data and the Generalized Regression Neural Network (GRNN) machine learning approach; subsequently, data tiling was conducted on the 6-layer 30-meter resolution soil texture data to meet practical data requirements and enable model usability, with a total dataset size of 271 MB.

搜集汇总

背景与挑战

背景概述

该数据集为武汉城市圈的三维土壤质地数据，基于30米分辨率土地利用数据和6层300米分辨率土壤质地比例数据生产，包含黏土、沙土和壤土的比例数据，空间分辨率为30米，数据量为271.19MB。数据集通过广义回归神经网络（GRNN）机器学习方法生成，适用于区域生态环境研究。