9km（2015-2023年）/10m（2020局部区域）土壤水分数据集

土壤水分是地气交互作用的重要边界条件，是全球观测系统提出的关键气候变量之一；基于自主研发的主被动、多通道协同反演算法，融合高、低分辨率微波遥感影像，提供精准的时空多尺度土壤水分监测，旨在为农业灌溉、干旱预警和渍涝防治等领域提供关键数据支持。
本数据集应用场景具体如下：
智能灌溉管理
通过先进遥感技术监测土壤墒情，能够更准确地判断作物灌溉需求，包括灌溉的时机、水量以及空间分布范围，从而实现精准灌溉。
干旱监测预警
及时获取干旱预警信息，帮助农业管理部门提前采取应对措施，如调整水资源调度、分配和灌溉计划或选择抗旱作物等。
渍涝风险防控
通过对土壤水分的持续监测，用户能够及时获取田间湿渍和洪/雨涝风险信息，协助决策者快速应急响应，降低潜在的损失和影响。

Soil moisture is an important boundary condition for land-atmosphere interaction, and one of the key climate variables specified by the Global Observing System (GOS). Based on the independently developed active-passive multi-channel collaborative inversion algorithm, this dataset fuses high-resolution and low-resolution microwave remote sensing imagery to provide accurate spatiotemporal multi-scale soil moisture monitoring, aiming to deliver critical data support for applications including agricultural irrigation, drought early warning, and waterlogging prevention and control.

Specific application scenarios of this dataset are listed below:
1. Intelligent Irrigation Management
By monitoring soil moisture via advanced remote sensing technologies, the irrigation demand of crops can be precisely determined, covering the timing, water dosage and spatial distribution scope of irrigation, thus realizing precision irrigation.
2. Drought Monitoring and Early Warning
Timely acquisition of drought early warning information enables agricultural management departments to take proactive mitigation measures in advance, such as adjusting water resource scheduling, allocation and irrigation plans, or selecting drought-resistant crop varieties.
3. Waterlogging Risk Prevention and Control
Through continuous soil moisture monitoring, users can obtain timely information on field waterlogging and flood/heavy rain-induced waterlogging risks, assisting decision-makers in implementing rapid emergency responses to mitigate potential losses and impacts.

搜集汇总

背景与挑战

背景概述

该数据集提供2020年局部区域的土壤水分信息，空间分辨率为10米，适用于高精度环境监测或农业研究。数据可能基于遥感技术获取，但具体覆盖范围、测量方法和数据格式未在可用信息中说明。