Soil grid data for 3 agricultural fields in Italy (Soil Moisture, soil organic carbon)

Soil data collected in an agricultural area with annual crops in Italy (west-central Lombardia Po Valley, province of Pavia). The data refers to soil properties of 320 soil samples for Soil Moisture and 120 for SOC, collected in the topsoil (around 5-10 cm), considering a regular sampling grid, within three agricultural field with different crops (spring-summer cycle) and soils type, Rice-Loamy, Sorghum-Sandy and, Maize-Clay, in a period (before the seeding of the crops), when the soil was bare, in the framework of the EJP Steropes project. The aim of the collected dataset was to be able to analyse the influence of soil moisture in SOC (WP2 of the STEROPES project) prediction models from remote sensing. Data in the form of shape file (one shapefile for each agricultural field, for oth Soil Moisture and SOC), and pictures of the soil surface in .jpg format.本数据集采集自意大利伦巴第大区波河河谷中西部帕维亚省的一年生作物农业种植区，数据采集工作在EJP Steropes项目框架下开展。 数据集包含两类土壤样品的理化属性数据：其中320份为土壤含水率（Soil Moisture）样品，120份为土壤有机碳（Soil Organic Carbon, SOC）样品。所有样品均采自表层土壤（深度约5~10 cm），采用规则采样网格布设采样点，覆盖3个种植春夏季轮作作物、对应不同土壤类型的农田，分别为水稻-壤土型、高粱-砂质土型以及玉米-黏壤土型。采样时机选定为作物播种前，此时土壤处于裸露状态。 本数据集的构建目的为借助遥感技术分析土壤含水率对土壤有机碳预测模型的影响，该研究内容隶属于STEROPES项目的工作包2（WP2）。 数据集包含两类数据格式：一是针对土壤含水率与土壤有机碳的形状文件（Shapefile），每个农田对应一个形状文件；二是农田表层土壤表面的JPEG（.jpg）格式图像。