2000-2025年中国逐月500米分辨率PET数据集

1.本数据集提供了2000年至2025年逐月的潜在蒸散量（PET）数据，空间分辨率为500米。数据基于MODIS卫星遥感产品MOD16A2，该产品采用Penman-Monteith方程为核心算法，通过整合MODIS的植被指数、地表反照率以及来自全球再分析资料的大气驱动数据（如温度、湿度、辐射）进行计算。
2.高校、研究所、企事业单位等科研单位。
3.数据集覆盖全球陆表，时间序列完整，以月为单位聚合，便于进行长时间尺度的气候变化、水文循环及生态环境演变研究。数据经过严格的质控处理，剔除了原始MOD16A2产品中的低质量像元，确保了结果的可靠性。本数据集对于评估区域干湿状况、农业水资源规划、干旱监测以及全球变化研究具有重要的科学价值与应用潜力。

1. This dataset provides monthly Potential Evapotranspiration (PET) data from 2000 to 2025, with a spatial resolution of 500 meters. Derived from the MODIS satellite remote sensing product MOD16A2, it adopts the Penman-Monteith equation as the core algorithm, and is calculated by integrating MODIS vegetation indices, surface albedo, and atmospheric forcing data (such as temperature, humidity and radiation) from global reanalysis datasets.
2. It is applicable to scientific research institutions including universities, research institutes, enterprises and public institutions.
3. The dataset covers global land surfaces, with complete monthly aggregated time series, which facilitates long-term-scale studies on climate change, hydrological cycles and ecological environment evolution. It has undergone strict quality control processing, with low-quality pixels in the original MOD16A2 product eliminated to ensure the reliability of the results. This dataset holds important scientific value and application potential for regional dry-wet condition assessment, agricultural water resource planning, drought monitoring and global change research.

搜集汇总

背景与挑战

背景概述

该数据集提供了2000年至2025年逐月的潜在蒸散量（PET）数据，空间分辨率为500米，基于MODIS卫星遥感产品MOD16A2，采用Penman-Monteith方程算法计算。数据集覆盖全球陆表，时间序列完整，经过严格质控处理，确保了数据的可靠性，适用于长时间尺度的气候变化、水文循环、生态环境演变、农业水资源规划和干旱监测等科学研究。