1-km soil moisture predictions in the United States with SOMOSPIE framework

Monthly and weekly soil moisture predictions in 2010 at 1-km spatial resolution using two different modeling methods integrated in the modular SOil Moisture SPatial Inference Engine (SOMOSPIE- Rorabaugh et al. 2019) (kernel-weighted k-nearest neighbors <KKNN>, Random Forests <RF>). Data were acquired from the European Space Agency Climate Change Initiative (ESA CCI) soil moisture product version 6.1, 0.25-degrees spatial resolution. Modeled soil moisture layers are delivered for two regions in the conterminous United States. Each region encompasses a polygon of 7.5° x 3.75° (n = 450 pixels with 30 columns and 15 rows in the native resolution of the ESA CCI Soil moisture product). Region 1 <so called West Region> consists of an area of 275,516 km2. Region 2 <so called Midwest region> consists of an area of 283,499 km2. Predicted soil moisture values were validated by means of two approaches, cross-validation using the ESA CCI estimates and independent ground-truth records from the North American Soil Moisture Database (currently known as the National Soil Moisture Network). Detailed methods and results of this dataset are described in: Llamas, R.M; Valera, Leobardo; Olaya, Paula; Taufer, Michela; Vargas, Rodrigo "Downscaling Satellite Soil Moisture based on a modular SOil Moisture SPatial Inference Engine (SOMOSPIE)", Remote Sensing (submitted).

本数据集包含2010年每月及每周土壤湿度预测，空间分辨率为1公里，采用两种不同的建模方法，即在模块化土壤湿度空间推理引擎（SOMOSPIE-Rorabaugh et al. 2019）中集成的核权重的k最近邻（KKNN）和随机森林（RF）。数据来源于欧洲航天局气候变化倡议（ESA CCI）土壤湿度产品版本6.1，空间分辨率为0.25度。为美国大陆的两个区域提供了模拟土壤湿度层，每个区域覆盖7.5° x 3.75°的矩形区域（在ESA CCI土壤湿度产品的原始分辨率下，包含450个像素，每行30列，每列15行）。区域1（所谓西部区域）面积为275,516平方公里。区域2（所谓中部区域）面积为283,499平方公里。预测的土壤湿度值通过两种方式进行验证：一是使用ESA CCI估计值进行的交叉验证，二是利用北美土壤湿度数据库（目前称为国家土壤湿度网络）的独立地面真值记录。该数据集的详细方法和结果描述见：Llamas, R.M; Valera, Leobardo; Olaya, Paula; Taufer, Michela; Vargas, Rodrigo "基于模块化土壤湿度空间推理引擎（SOMOSPIE）的卫星土壤湿度降尺度"，Remote Sensing（投稿中）。