A5113541935- Cryospheric studies and observations
- Climate change and permafrost
- Soil Moisture and Remote Sensing
- Arctic and Antarctic ice dynamics
- Precipitation Measurement and Analysis
- Atmospheric aerosols and clouds
- Meteorological Phenomena and Simulations
- Urban Heat Island Mitigation
- Landslides and related hazards
- Climate variability and models
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Winter Sports Injuries and Performance
- Solar Radiation and Photovoltaics
- Atmospheric Ozone and Climate
- Solar and Space Plasma Dynamics
- Icing and De-icing Technologies
- Geophysics and Gravity Measurements
- Text and Document Classification Technologies
- Control Systems in Engineering
- Ginseng Biological Effects and Applications
- Sleep and Work-Related Fatigue
- Hydrocarbon exploration and reservoir analysis
- Image Processing and 3D Reconstruction
Ningbo Entry-Exit Inspection And Quarantine Bureau
2024
Southwest Jiaotong University
2019-2024
Hunan Vocational Institute of Technology
2024
Guizhou University
2024
Chengdu University of Technology
2023-2024
Xidian University
2023
Beijing Forestry University
2020
Guilin University of Aerospace Technology
2020
Beijing Normal University
2013-2019
State Key Laboratory of Remote Sensing Science
2010-2019
Usually, photoelectrochemical (PEC) assays were devoted to the direct modification of photoactive materials on sensing interface, thereby producing high initial signal and unneglected background noise, which could further result in low sensitivity restricted detection limit during targets. In this work, a PEC biosensor with near-zero noise was established for ultrasensitive microRNA-141 (miRNA-141) based DNA tetrahedron (TET) as nanocarrier efficient immobilization CdTe quantum dots...
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...
Abstract There has been a statement that the satellite and reanalyses significantly overestimate snow depths (SDs) as compared with in-situ observations over Tibetan Plateau (TP). The inconsistency may be partly due to representations related different spatial resolutions. To further clarify matters of scale, this work estimates compares fractional cover (FSC) from MODIS (500 m), SDs Sentinel-1 C-band SAR (1 km), ERA5-Land (9 km) ERA5 (31 together ground GHCN-D at 6 newly-established...
The spatiotemporal distribution of snow depth (SD) has a significant impact on the energy and water balances Earth's system. However, passive microwave remote sensing widely used for SD estimation large uncertainties due to variations in physical properties. In this study, we demonstrate new method minimize these increase accuracy estimation. Our is based synergy between AMSR-2 brightness temperature (TB) process model (SNTHERM) estimate grain size, density first-guess as priors. On one...
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...
Snow water equivalent (SWE) is a key parameter in the Earth’s energy budget and cycle. It has been demonstrated that SWE can be retrieved using active microwave remote sensing from space. This necessitates development of forward models are capable simulating interactions microwaves snow medium. Several proposed have described as collection sphere- or ellipsoid-shaped ice particles embedded air, while microstructure is, reality, more complex. Natural usually forms sintered structure following...
Abstract. Water storage in snowpacks mountain areas is critical for hydropower production, hydrological forecasting, and freshwater availability. Spaceborne synthetic aperture radar (SAR) a powerful tool quantitatively measuring snow mass because of its high spatial resolution the sensitivity signals to depth (SD). In particular, first SAR SD product (C-snow) based on Sentinel-1 satellites displays depolarization dynamic monitoring mountainous areas. Moreover, upscaled C-snow retrievals...
Monitoring of snow cover is crucial to the study global climate changes for water resource management, as well flood and avalanche risk prevention. The sensitivity characteristics X-band backscattering COSMO-SkyMed mission has been analyzed in framework experimental model activities. data have found contribute retrieval equivalent (SWE), provided that characterized by a depth (SD) roughly 60-70 cm (SWE >; 100-150 mm) with relatively large crystal dimensions. Subsequently, an algorithm...
Light scattering models of snow are very important for the remote sensing snow. Many previous have used unrealistic assumptions about particle shape and microstructure. In this paper, a new model is proposed, wherein bicontinuous medium to simulate microstructure, geometric optics theory in combination with Monte Carlo method properties Then, using radiative transfer equation, reflectance, including polarized can be simulated. Unlike other that use ray tracing, computationally efficient...
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...
The normalized difference snow index (NDSI) plays an important role in mapping cover with spaceborne visible and shortwave-infrared imagery. NDSI variation depends on illuminating-viewing geometry physical properties, including equivalent grain size (EGS), depth (SD) impurity concentration, as well fractional (FSC) within a mixed pixel; however, it is still not fully understood. To quantifiably characterize the pattern of variation, we use light scattering model to calculate bidirectional...
Soil moisture ocean salinity (SMOS) mission has been providing L-band multiangular brightness temperature observations at a global scale since its launch in November 2009 and performed well the retrieval of soil moisture. The multiple incidence angle also allow for additional parameters beyond moisture, but these are not obtained fixed values resolution accuracy change with grid locations over SMOS snapshot images. Radio-frequency interference (RFI) issues aliasing lower look angles increase...
Vegetation monitoring is important for the study of global carbon cycle and ecosystem. The soil moisture ocean salinity (SMOS) mission that launched in 2009 first operational L-band passive microwave spaceborne sensor using synthetic aperture techniques; provides multiangular observations. In this study, based on commonly used zero-order radiative transfer model (ω-τ model), we developed an approach retrieving vegetation optical depth (VOD) only SMOS H-polarized measurements. This was done...
Clouds and their associated shadows are major obstacles to most land surface remote sensing applications. Meanwhile, solar-cloud-satellite geometry (SCSG) makes the effect of clouds on derived biophysical parameters more complicated. However, in existing studies, SCSG has been frequently neglected although it is pointed out by many works that a noticeable problem, especially field radiation budget. Taking shortwave downward (SWDR) as testing variable, this study quantified SWDR, proposed an...
The kernel-driven RossThick-LiSparseReciprocal (RTLSR) bidirectional reflectance distribution function (BRDF) model has been widely used in the quantitative remote sensing community. However, performance of this is challenged when modelling optical scattering properties pure snow surfaces. Recently, two kernels have developed to improve anisotropic RTLSR framework. performances these must be assessed identify their potential applications. Therefore, we assess using various BRDF data sources....
Snow depth or snow water equivalent in mountainous region is crucial for hydrology, resources management, meteorological and climate research. Remote sensing can be used monitoring regional scale global scale. However, the spaceborne remote of mountain challenging because sensor sensitivity spatial resolution problems. Recently, time series Sentinel-1 retrieval mountains, which shows encouraging accuracy. In this study, an algorithm to estimate regions using optical passive microwave...
The snow in high-mountain Asia (HMA) is of great importance, as it very sensitive to the climate change. Air temperature and precipitation shifts/increases will be reflected timing snowmelt onset. In this letter, a new algorithm proposed determine onset date from active passive microwave remote sensing data, spatial temporal pattern HMA studied using for first time. Over 35 years data ten are used derive melt HMA. has 4.5-km resolution so that more detailed can derived compared 25-km data....
Validation of the snow process model is an important preliminary work for parameter estimation. The grain growth a continuous and accumulative process, which cannot be evaluated without comparing with observations in season scale. In order to understand properties Asian Water Tower region (including Xinjiang province Tibetan Plateau) enhance use modeling tools, extended experiment at foot Altay Mountain was designed validate improve coupled physical Snow Thermal Model (SNTHERM) Microwave...