Towards field-scale soil moisture measurement using SAR remote sensing and the COSMOS-UK network - STARS CDT

使用 SAR 遥感和 COSMOS-UK 网络进行实地土壤湿度测量 - STARS CDT

• 批准号: 1948251
• 金额: --
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1948251
• 关键词: Towards; field; scale; soil; moisture

Remote Sensing using Synthetic Aperture Radar (SAR) is a promising method to measure soil moisture at fine spatial and temporal scales. This project aims at testing SAR change detection with images acquired from satellite constellations (Sentinel-1, Cosmo-Skymed), against soil moisture measurements from the newly available UK COsmic-ray Soil Moisture Observing System (COSMOS-UK network). In particular, the PhD candidate is expected to evaluate change detection with various SAR imaging configurations, soil conditions, and different change detection algorithms. From the collaboration of Cranfield University and the Centre for Ecology and Hydrology, the candidate will have access to an interdisciplinary network of experts in Remote Sensing, Hydrology, and Soil Science. The project aims at identifying the synergies between COSMOS-UK and SAR constellations to eventually design the first system of systems for field-scale soil moisture estimation with national coverage, with numerous applications in weather forecasting, hydrology, agricultural systems, and insurance.

合成孔径雷达（SAR）遥感是一种很有前途的方法，可以在精细的空间和时间尺度上测量土壤水分。该项目的目的是，对照新近可用的联合王国宇宙射线土壤湿度观测系统（COSMOS-UK网络）的土壤湿度测量值，测试用卫星星座（哨兵-1号、Cosmo-Skymed）获得的图像探测合成孔径雷达变化的能力。特别是，博士候选人预计将评估变化检测与各种SAR成像配置，土壤条件和不同的变化检测算法。通过与克兰菲尔德大学和生态与水文中心的合作，候选人将有机会接触到遥感、水文和土壤科学方面的跨学科专家网络。该项目旨在确定COSMOS-UK和合成孔径雷达星座之间的协同作用，以最终设计第一个覆盖全国的实地土壤湿度估计系统，并在天气预报、水文、农业系统和保险方面有许多应用。

项目成果

A Method to Assess the Performance of SAR-Derived Surface Soil Moisture Products

一种评估 SAR 表面土壤水分产品性能的方法

• DOI: 10.1109/jstars.2021.3071380
• 发表时间: 2021
• 期刊: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• 影响因子: 5.5
• 作者: Beale J

The significance of soil properties to the estimation of soil moisture from C-band synthetic aperture radar

• DOI: 10.5194/hess-2019-294
• 发表时间: 2019-06
• 期刊: Hydrology and Earth System Sciences Discussions
• 作者: J. Beale;Boris Snapir;T. Waine;Jonathan G. Evans;R. Corstanje

A performance assessment method for SAR satellite-derived surface soil moisture data using a soil-water balance model, meteorological observations, and soil pedotransfer functions.

一种利用土水平衡模型、气象观测和土壤土壤迁移函数对 SAR 卫星衍生的地表土壤湿度数据进行性能评估的方法。

• DOI: 10.5194/egusphere-egu2020-3387
• 发表时间: 2020
• 作者: Beale J

The influence of soil properties in estimating soil moisture from satellite C-band Synthetic Aperture Radar

土壤性质对卫星C波段合成孔径雷达估算土壤湿度的影响

• 发表时间: 2019
• 期刊: EGU General Assembly Conference Abstracts
• 作者: Beale John

Improved soil moisture estimation with Sentinel-1 for arable land at the field scale

使用 Sentinel-1 改进田间耕地土壤湿度估算

• DOI: 10.5194/egusphere-egu21-4537
• 发表时间: 2021
• 作者: Beale J