JULES-Sheffield soil moisture 1948-2010

Figshare2020-10-01 更新2026-04-28 收录

区域土壤湿度监测

气候变化水文分析

数据链接：

https://figshare.com/articles/dataset/JULES-Sheffield_soil_moisture_1948-2010/13040534 数据链接链接失效反馈

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资源简介：

JULES-Sheffield July-August monthly soil moisture over inner East Asia, 1948-2010

创建时间：

2020-10-01

Wallup - Stock and Crop Sustainable Management Below and Above Ground

农业林业可持续管理

区域土壤湿度监测

Sponsored group, Wallup Ag Group, will undertake this project with the sponsorship of Yarrilinks Incorporated. This project will help farmers experiencing reduced rainfall by providing them with pract

Research Data Australia70

Supplementary material to the paper: Status of the Tibetan Plateau observatory (Tibet-Obs) and a 10-year (2009-2019) surface soil moisture dataset

青藏高原环境监测

区域土壤湿度监测

The Tibet-Obs consists of three regional-scale soil moisture (SM) monitoring networks, i.e. the Maqu, Naqu, and Ngari (including Ali and Shiquanhe) networks. This surface SM dataset includes the origi

4TU.ResearchData2020-07-23 更新40

Temporal stability of soil moisture in banana cropping area in the Brazilian semiarid region

区域土壤湿度监测

香蕉研究

ABSTRACT Soil moisture is essential for agricultural production. Knowledge on its spatial-temporal variability is indispensable to support agriculture, and it is strongly influenced by cultural practi

NIAID Data Ecosystem30

SMEX05 Watershed Soil Moisture Data: Iowa, Version 1

区域土壤湿度监测

水文数据

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for

DataONE2024-09-12 更新50

欧亚大陆长时间序列雪深数据集（1980-2016）

积雪遥感

气候变化水文分析

欧亚大陆雪深数据集采用被动微波遥感反演方法制作，数据覆盖时间从1980年到2016年，时间分辨率为逐日，覆盖范围为欧亚大陆，空间分辨率为0.25°。遥感反演方法采用动态亮温梯度算法，算法考虑积雪特性在时空和空间上的变化，建立了不同频率亮度温度差与实测雪深在空间和季节上的动态关系。长时间序列星载被动微波亮度温度数据来自SMMR、SSM/I和SSMI/S三个传感器。为保证不同传感器亮度温度在时间上的一

地球大数据科学工程2018-11-02 更新30

JULES-Sheffield soil moisture 1948-2010

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