GPM_API - Global Hourly Soil Moisture from GPM IMERG Data
收藏资源简介：
This repository serves as hub for the single <strong><em>GPM_API data set repositories</em></strong> related to the publication Ramsauer, T., & Marzahn, P. (2023). Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index. <em>International Journal of Remote Sensing</em>, 44(2), 542-566. GPM_API 2015: 10.5281/zenodo.6353260 GPM_API 2016: 10.5281/zenodo.6413889 GPM_API 2017: 10.5281/zenodo.6413905 GPM_API 2018: 10.5281/zenodo.6413907 GPM_API 2019: 10.5281/zenodo.6413909 GPM_API 2020: 10.5281/zenodo.6413911 The related article can be found here:<br> Article: https://doi.org/10.1080/01431161.2022.2162351 Free PDF: www.tandfonline.com/eprint/6VHQ7JCCJXSPAMG3PVIG/full?target=10.1080/01431161.2022.2162351
本仓库作为与Ramsauer T.与Marzahn P.（2023年）发表的论文《基于GPM IMERG数据结合站点校正前期降水指数的全球土壤湿度估算》（刊载于《国际遥感学报》，第44卷第2期，第542-566页）相关的<em>GPM_API数据集</em>仓储枢纽。 GPM_API 2015：10.5281/zenodo.6353260 GPM_API 2016：10.5281/zenodo.6413889 GPM_API 2017：10.5281/zenodo.6413905 GPM_API 2018：10.5281/zenodo.6413907 GPM_API 2019：10.5281/zenodo.6413909 GPM_API 2020：10.5281/zenodo.6413911 相关论文可通过以下途径获取： 论文：https://doi.org/10.1080/01431161.2022.2162351 免费全文：www.tandfonline.com/eprint/6VHQ7JCCJXSPAMG3PVIG/full?target=10.1080/01431161.2022.2162351
