Time-Series Retrieval of Soil Moisture Using CYGNSS

Mohammad M. Al-Khaldi; Joel T. Johnson; Andrew J. O’Brien; Anna Balenzano; Francesco Mattia

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Time-Series Retrieval of Soil Moisture Using CYGNSS

机译：CYGNSS对土壤水分的时间序列反演

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摘要

Time-series retrievals of soil moisture obtained from the Cyclone Global Navigation Satellite System (CYGNSS) constellation are presented. The retrieval approach assumes that vegetation and roughness changes occur on timescales longer than those associate

机译：提出了从旋风全球导航卫星系统（CYGNSS）星座获得的土壤水分的时间序列检索。该检索方法假设植被和粗糙度的变化发生的时间长度比相关时间长

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《IEEE Transactions on Geoscience and Remote Sensing》 |2019年第7期|4322-4331|共10页
作者
Mohammad M. Al-Khaldi; Joel T. Johnson; Andrew J. O’Brien; Anna Balenzano; Francesco Mattia;
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作者单位

Department of Electrical and Computer Engineering The Ohio State University Columbus OH USA;

Department of Electrical and Computer Engineering The Ohio Sta;

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原文格式 PDF
正文语种 eng
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关键词
Soil moisture; Land surface; Rough surfaces; Surface roughness; Signal to noise ratio; Scattering; Vegetation mapping;

机译：土壤湿度;陆地表面;粗糙的表面;表面粗糙度;信噪比;散射;植被测绘;

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专利

1. Analysis of CYGNSS Data for Soil Moisture Retrieval [J] . Maria Paola Clarizia, Nazzareno Pierdicca, Fabiano Costantini, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2019,第7期

机译：CYGNSS数据反演土壤水分
2. Soil Moisture Sensing Using Spaceborne GNSS Reflections: Comparison of CYGNSS Reflectivity to SMAP Soil Moisture [J] . Chew C. C., Small E. E. Geophysical Research Letters . 2018,第9期

机译：使用星弓性GNSS的土壤湿度感应反射：CyGNSSS对粉碎土壤水分的反射率的比较
3. Estimation of Vegetation Parameters of Water Cloud Model for Global Soil Moisture Retrieval Using Time-Series L-Band Aquarius Observations [J] . Chenzhou Liu, Jiancheng Shi Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2016,第12期

机译：利用时间序列L波段水瓶座观测值估算全球土壤水分反演的水云模型的植被参数
4. Soil Moisture and Forest Biomass retrieval on a global scale by using CyGNSS data and Artificial Neural Networks [C] . E. Santi, S. Pettinato, S. Paloscia, International Geoscience and Remote Sensing Symposium . 2020

机译：使用Cygnss数据和人工神经网络，土壤水分和森林生物量在全球范围内检索
5. Designing a remote in-situ soil moisture sensor network for small satellite data retrieval with modified routing protocol [D] . Zaman, Rawfin. 2014

机译：为远程卫星土壤湿度传感器网络设计一个改进的路由协议
6. Evaluation of the predicted error of the soil moisture retrieval from C-band SAR by comparison against modelled soil moisture estimates over Australia [O] . Marcela Doubková, Albert I.J.M. Van Dijk, Daniel Sabel, -1

机译：通过与澳大利亚的模型土壤湿度估算值进行比较评估从C波段SAR取回土壤水分的预测误差
7. Soil Moisture Retrieval From Sentinel-1 Time-Series Data Over Croplands of Northeastern Thailand [O] . Dong Fan, Tianjie Zhao, Xiaoguang Jiang, 2021

机译：泰国东北部农田的哨兵-1时间序列数据从哨兵-1时间系列数据进行土壤水分检索
8. Global-Scale Comparison of Passive (SMOS) and Active (ASCAT) Satellite Based Microwave Soil Moisture Retrievals with Soil Moisture Simulations (MERRA-Land). [R] . Al-Yaari, A., Wigneron, J., Mialon, A., 2014

机译：基于土壤水分模拟的被动（smOs）和主动（asCaT）卫星微波土壤水分反演的全球尺度比较（mERRa-Land）。

Time-Series Retrieval of Soil Moisture Using CYGNSS

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