基于SMAP数据的中国北方荒漠化地区1公里分辨率的每日土壤湿度制图

本研究选择了对土壤湿度（SM）非常敏感的中国北方荒漠化地区作为研究区域。该地区经常受到干旱和土壤退化的影响，土壤湿度的动态变化对荒漠化的监测和研究至关重要。研究使用了2015年至2020年间以每日尺度获取的土壤湿度数据，这些数据的空间分辨率为1公里，充分满足对高分辨率空间信息的需求。该降尺度土壤湿度数据是基于36公里分辨率的SMAP（土壤湿度主动被动）卫星数据进行处理和生成的。在数据处理过程中，使用的比例因子为0.0001，以便将原始土壤湿度值转换为适合研究的单位。此外，对于无效的土壤湿度值，采用65535作为标识，以确保数据集的完整性和一致性。每幅图像的命名采用了对应的日期格式（儒略日格式：“YYYYDDD”），这样可以方便用户快速识别和查找所需的特定时间点的数据。

This study selected the desertification regions in northern China, which are highly sensitive to soil moisture (SM), as the research area. This region is frequently plagued by drought and soil degradation, and the dynamic changes of soil moisture are of critical importance for desertification monitoring and research. This study utilized daily-scale soil moisture data acquired between 2015 and 2020, with a spatial resolution of 1 km, which fully satisfies the demand for high-resolution spatial information. This downscaled soil moisture dataset was processed and generated based on SMAP (Soil Moisture Active Passive) satellite data with a 36 km resolution. During the data processing procedure, a scaling factor of 0.0001 was applied to convert the original soil moisture values into units suitable for this research. Additionally, 65535 was used as the identifier for invalid soil moisture values to guarantee the integrity and consistency of the dataset. Each image is named using the corresponding date format (Julian day format: "YYYYDDD"), enabling users to quickly identify and retrieve data for specific time points.

搜集汇总

背景与挑战

背景概述

该数据集提供了2015年至2020年中国北方荒漠化地区的每日土壤湿度栅格数据，空间分辨率为1公里。数据基于SMAP卫星数据降尺度处理生成，旨在支持高分辨率土壤湿度监测，适用于荒漠化研究和干旱影响评估。数据集采用特定转换因子和无效值标识，确保数据一致性和完整性，命名方式便于时间点检索。