Results 11 to 20 of about 7,650 (227)

Recent advances in (soil moisture) triple collocation analysis

International Journal of Applied Earth Observation and Geoinformation, 2016
Abstract To date, triple collocation (TC) analysis is one of the most important methods for the global-scale evaluation of remotely sensed soil moisture data sets. In this study we review existing implementations of soil moisture TC analysis as well as investigations of the assumptions underlying the method.
A. Gruber, C.-H. Su, S. Zwieback, W. Crow, W. Dorigo, W. Wagner   +5 more
openaire   +3 more sources

Extended triple collocation: estimating errors and correlation coefficients with respect to an unknown target [PDF]

Geophysical Research Letters, 2014
Calibration and validation of geophysical measurement systems typically require knowledge of the true value of the target variable. However, the data considered to represent the true values often include their own measurement errors, biasing calibration,
Entekhabi, Dara, Konings, Alexandra G., McColl, Kaighin Alexander, Piles Guillem, Maria, Stoffelen, Ad, Vogelzang, Jur   +5 more
core   +4 more sources

Triple Collocation-Based Uncertainty Analysis and Data Fusion of Multi-Source Evapotranspiration Data Across China

Atmosphere
Accurate estimation of evapotranspiration (ET) is critical for understanding land-atmospheric interactions. Despite the advancement in ET measurement, a single ET estimate still suffers from inherent uncertainties.
Dayang Wang, Shaobo Liu, Dagang Wang
doaj   +2 more sources

SMCR: A first satellite-derived all-weather daily/1-km Soil Moisture Climatological Record (1980–2023) [PDF]

Scientific Data
Soil moisture (SM) has long been recognized as one of the essential climate variables. However, there are no satellite-derived global SM climatological records spanning over 30 years at fine spatiotemporal resolution.
Shuangxue Zhai, Pei Leng, Chunfeng Ma, Abba Aliyu Kasim, Tian Ma, Hongyuan Huo, Si-Bo Duan, Xiangyang Liu, Zhao-Liang Li   +8 more
doaj   +2 more sources

Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches [PDF]

Sensors
As a key parameter of the Earth’s ecosystem, soil moisture significantly influences land-atmosphere interactions and has important applications in meteorology, hydrology, and agricultural studies.
Zhuoer Ma, Peng Chen, Hao Chen, Hang Liu, Yuchen Zhang, Binyi Huang, Yang Hong, Shizheng Sun   +7 more
doaj   +2 more sources

Uncertainty Analysis of Snow Depth Retrieval Products over China via the Triple Collocation Method and Ground-Based Measurements

Remote Sensing
Snow depth is a crucial variable when assessing the hydrological cycle and total water supply. Therefore, thorough and large-scale assessments of the widely used gridded snow depth products are highly important.
Jianwei Yang, Lingmei Jiang, Meiqing Chen, Jiajie Ying   +3 more
doaj   +2 more sources

Built-Up Surface Ensemble Model for Romania Based on OpenStreetMap, Microsoft Building Footprints, and Global Human Settlement Layer Data Sources Using Triple Collocation Analysis

ISPRS International Journal of Geo-Information
Accurate and up-to-date data on built-up areas are crucial for urban planning, disaster management, and sustainable development, yet Romania still lacks a unified, official database.
Zsolt Magyari-Sáska, Ionel Haidu
doaj   +2 more sources

A Comparative Analysis of Remote Sensing Soil Moisture Datasets Fusion Methods: Novel LSTM Approach Versus Widely Used Triple Collocation Technique

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Microwave remote sensing technology has emerged to provide valuable products to monitor and assess soil moisture content at regional or global scales. However, each soil moisture product exhibits different advantages and shortcomings.
Haojin Zhao, Carsten Montzka, Harry Vereecken, Harrie-Jan Hendricks Franssen   +3 more
doaj   +3 more sources

Evaluation of Fengyun-4A Detection Accuracy: A Case Study of the Land Surface Temperature Product for Hunan Province, Central China

Atmosphere, 2022
Land surface temperature (LST) is an important parameter in determining surface energy balance and a fundamental variable detected by the advanced geostationary radiation imager (AGRI), the main payload of FY-4A. FY-4A is the first of a new generation of
Jiazhi Fan, Qinzhe Han, Songqi Wang, Hailei Liu, Leishi Chen, Shiqi Tan, Haiqing Song, Wei Li   +7 more
doaj   +1 more source

Discovering Optimal Triplets for Assessing the Uncertainties of Satellite-Derived Evapotranspiration Products

Remote Sensing, 2023
Information relating to errors in evapotranspiration (ET) products, including satellite-derived ET products, is critical to their application but often challenging to obtain, with a limited number of flux towers available for the sufficient validation of
Yan He, Chen Wang, Jinghao Hu, Huihui Mao, Zheng Duan, Cixiao Qu, Runkui Li, Mingyu Wang, Xianfeng Song   +8 more
doaj   +1 more source