2020-2021年新疆光伏电站和河北风电场土壤化学元素数据集

在能源发展低碳化的背景下，太阳能和风能被誉为可再生的绿色能源。全球光伏电站和风电场在规模和数量上正在快速增加。过去十多年，中国开发了分别约占全球17%和35%的光伏和风电装机容量。然而，大规模的光伏电站和风电场建设和运营对区域生态环境造成的影响如何，成为区域环境保护决策中亟待解决的科学问题。本数据集采用无人机搭载多光谱传感器、X射线荧光光谱仪监测了新疆一光伏电站和河北一大型陆上风电场。数据集包含光伏电站DSM和NDVI数据，风电站风机GPS位置数据，以及这两个研究区的土壤化学元素浓度数据。本数据集将为绿色能源和环境保护协调发展提供数据和科技支撑。

Against the backdrop of low-carbon energy transition, solar and wind energy are hailed as renewable green energy sources. Global photovoltaic (PV) power stations and wind farms are rapidly expanding in both scale and quantity. Over the past decade and more, China has accounted for approximately 17% and 35% of the global installed capacity for photovoltaic and wind power, respectively. However, the impacts of large-scale construction and operation of PV power stations and wind farms on regional ecological environments have emerged as a pressing scientific issue requiring urgent resolution in regional environmental protection decision-making. This dataset was collected using unmanned aerial vehicles (UAVs) equipped with multispectral sensors and X-ray fluorescence (XRF) spectrometers, targeting one PV power station in Xinjiang and one large onshore wind farm in Hebei Province, China. The dataset includes DSM and NDVI data for the PV power station, GPS location data of the wind turbines in the wind farm, and soil chemical element concentration data for both study areas. This dataset will provide data and technical support for the coordinated development of green energy and environmental protection.