A5033634734- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Climate change and permafrost
- Precipitation Measurement and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil and Unsaturated Flow
- Meteorological Phenomena and Simulations
- Hydrology and Watershed Management Studies
- Remote Sensing in Agriculture
- Environmental Changes in China
- Urban Heat Island Mitigation
- Arctic and Antarctic ice dynamics
- Remote Sensing and Land Use
- Climate variability and models
- Remote Sensing and LiDAR Applications
- Landslides and related hazards
- Geophysics and Gravity Measurements
- Atmospheric aerosols and clouds
- Geophysical Methods and Applications
- Atmospheric and Environmental Gas Dynamics
- Soil Geostatistics and Mapping
- Oceanographic and Atmospheric Processes
- Solar Radiation and Photovoltaics
- Hydrology and Drought Analysis
- Methane Hydrates and Related Phenomena
State Key Laboratory of Remote Sensing Science
2016-2025
Chinese Academy of Sciences
2016-2025
Aerospace Information Research Institute
2019-2025
University of Chinese Academy of Sciences
2023-2024
Peking University
2022
Beijing Normal University
2008-2019
Institute of Remote Sensing and Digital Earth
2013-2019
United States Department of Agriculture
2011
Agricultural Research Service
2011
Estimation of soil moisture at large scale has been performed using several satellite-based passive microwave sensors and a variety retrieval methods over the past two decades. The most recent source is European Space Agency Soil Moisture Ocean Salinity (SMOS) mission. A thorough validation must be conducted to insure product quality that will, in turn, support widespread utilization data. This especially important since SMOS utilizes new sensor technology first L-band system routine...
A good knowledge of the quality satellite soil moisture products is great importance for their application and improvement. This paper examines performance eight satellite-based products, including Soil Moisture Active Passive (SMAP) passive Level 3 (L3), Ocean Salinity (SMOS) Centre Aval de Traitement des Données SMOS (CATDS) L3, Japan Aerospace Exploration Agency (JAXA) Advanced Microwave Scanning Radiometer 2 (AMSR2) Land Parameter Retrieval Model (LPRM) AMSR2 European Space (ESA) Climate...
A new soil moisture and temperature wireless sensor network (the SMN-SDR) consisting of 34 sites was established within the Shandian River Basin in 2018, located a semi-arid area northern China. In this study, situ measurements SMN-SDR were used to evaluate 24 different datasets grouped according three categories: (1) single-sensor satellite-based products, (2) multi-sensor merged (3) model-based products. Triple collocation analysis (TCA) applied all possible triplets verify reliability...
Due to the success of SMOS (Soil Moisture and Ocean Salinity) SMAP Active Passive) missions, new satellite missions are on horizon. The current future can benefit from investigations that seek improve retrieval algorithms quantitatively map global soil moisture vegetation optical depth (tau) Earth's microwave emissions. In this study, we explore multi-angular multi-frequency approaches for tau, considering payload configurations (such as Copernicus Imaging Microwave Radiometer, Water Cycle...
Land surface temperature (LST) plays a critical role in land processes. However, as one of the effective means for obtaining global LST observations, remote sensing observations are inherently affected by cloud cover, resulting varying degrees missing data satellite-derived products. Here, we propose solution. First, interpolating empirical orthogonal functions (DINEOF) method is used to reconstruct invalid LSTs cloud-contaminated areas into ideal, clear-sky LSTs. Then, cumulative...
Abstract Global soil moisture estimates from current satellite missions are suffering inherent discontinuous observations and coarse spatial resolution, which limit applications especially at the fine scale. This study developed a dataset of global gap-free surface (SSM) daily 1-km resolution 2000 to 2020. is achieved based on European Space Agency - Climate Change Initiative (ESA-CCI) SSM combined product 0.25° resolution. Firstly, an operational gap-filling method was fill missing data in...
The soil freeze–thaw controls the hydrological and carbon cycling thus affects water energy exchanges at land surface. This article reported a newly developed algorithm for distinguishing freeze/thaw status of surface soil. was based on information from Advanced Microwave Scanning Radiometer Enhanced (AMSR-E) which records brightness temperature (Tb) in afternoon after midnight. criteria discriminant functions were obtained both radiometer observations model simulations. First all, microwave...
Aquarius satellite observations over land offer a new resource for measuring soil moisture from space. Although was designed ocean salinity mapping, our objective in this investigation is to exploit the large amount of that acquires and extend mission scope include retrieval surface moisture. The algorithm development focused on using only radiometer data because extensive heritage passive microwave single channel (SCA) implemented estimate three beams (after bias/gain modification) along...
Many satellite-based precipitation products have been developed and released during the past decades. This paper presents a primary evaluation comparison of two latest products, Global Precipitation Measurement (GPM) mission Level 3 product Integrated Multi-satellitE Retrievals for GPM (IMERG) Version 7 Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Analysis (TMPA) products. The is based on daily scale data from April 1, 2014, to January 31, 2016, over entire Mekong River Basin...
Abstract Long term surface soil moisture (SSM) data with stable and consistent quality are critical for global environment climate change monitoring. L band radiometers onboard the recently launched Soil Moisture Active Passive (SMAP) Mission can provide state-of-the-art accuracy SSM, while Advanced Microwave Scanning Radiometer EOS (AMSR-E) AMSR2 series long observational records of multi-frequency (C, X, K bands). This study transfers merits SMAP to AMSR-E/2, develops a daily SSM dataset...
Abstract. Surface soil moisture (SSM) is crucial for understanding the hydrological process of our earth surface. The passive microwave (PM) technique has long been primary tool estimating global SSM from view satellites, while coarse resolution (usually >∼10 km) PM observations hampers its applications at finer scales. Although quantitative studies have proposed downscaling satellite PM-based SSM, very few products available to public that meet qualification 1 km and daily revisit cycles...
Soil moisture (SM) and vegetation optical depth (VOD) are essential variables in the terrestrial ecosystem. The multi-frequency radiometers AMSR-E AMSR2 provide >20 years of data records, enabling development long-term SM VOD products. Most current retrieval algorithms either only focus on or VOD, generally ignore polarization simplify frequency dependence effects for reducing unknowns facilitating process, limiting synergic applicability products soil-plant-atmosphere continuum. In this...
Abstract Wetland conservation is becoming increasingly important as wetland areas decline globally. However, no comprehensive global-scale mapping of priorities and targets has been published. This information needed to extend the current protected area network improve efficiency for wetlands. Here, we propose a cost-effective assessment model by integrating value- human impact-related indicators identify global priorities. These cover 28% potential distribution, that, only 44% currently...
Ground surface freeze-thaw cycles caused by changes in solar radiation have a great impact on soil-air water heat exchanges due to the phase transition of pore water. This influence should not be ignored land process and global environment change studies because its large extent rapid daily seasonal frozen ground. The key index for evaluating intensity is content water-ice soil pores at ground surface. In this paper, data set was generated observing field experiments physical model...
Abstract Clouds play a significant role in the derivation of land surface temperature (LST) from optical remote sensing. The estimation LST under cloudy sky conditions has been great challenge for community long time. In this study, scheme recovering skies is proposed by accounting solar‐cloud‐satellite geometry effect, through which LSTs shadowed and illuminated pixels covered clouds image are estimated. validation shows that new can work well reasonable accuracy with root mean square error...
Soil freeze-thaw cycles have a profound impact on heat and water fluxes at the land-atmosphere interface transport in soils. Microwave remote sensing is widely used technique to detect near-surface soil freeze/thaw states due significant changes dielectric properties associated with phase transitions soils, where uncertainty remains. This letter proposes new parameterization scheme for estimation of unfrozen content improve modeling during transitions. Predictions from model referred as...
Earth observation satellites play a critical role in providing information for understanding the global water cycle, which dominates Earth-climate system. However, limitations observations will restrict our current ability to reduce uncertainties used make decisions regarding use and management. Under support of "Strategic Priority Research Program Space Sciences" Chinese Academy Sciences, new satellite concept Water Cycle Observation Mission (WCOM) is proposed, aiming provide higher...
[1] Surface soil moisture is the key state variable in various hydrological processes. A physically based statistical methodology for surface measurement Tibet Plateau was developed this study. The approach established on theoretical relationships from derivation of physical models. calibrated using analysis a large data set obtained during long-term experiment Tibet. procedure conducted multichannel brightness temperature observations Advanced Microwave Scanning Radiometer–Earth Observing...