Yun Chen

The Commonwealth Scientific and Industrial Research Organisation | CSIRO

The application of ICESAT-2 altimetry data in river hydrology critically depends on the accuracy of the mean water surface elevation (WSE) at a virtual station (VS) where satellite observations intersect solely with water. It is acknowledged that the ATL13 product has noise elevations of the adjacent land, resulting in biased high mean WSEs at VSs....

The accurate extraction of the installation area of the photovoltaic power station is an important basis for the management of the photovoltaic power generation system. Deep learning has proven to be a powerful tool for rapidly detecting the distribution of photovoltaic panels in remote sensing images. The wealth of information from various remote...

Land surface temperature (LST) is an important parameter for the study related to land-air coupled systems. Satellite-based passive microwave (PMW) sensor is a significant approach to retrieving LSTs, which can penetrate the atmosphere conditions. However, soil moisture is one of the variables affecting PMW brightness temperature, yet few existing...

A suitable calibration sample set is extremely important to acquire an accurate spectral-based model for estimating soil organic matter (SOM). However, an unrepresentative calibration sample set was frequently collected due to the inappropriate samplings pattern caused by problematic transportation logistics and complex geographic conditions, which...

Spatiotemporal fusion algorithms have the ability to obtain high-resolution land surface temperature (LST). However, most existing fusion methods have difficulty obtaining LSTs with a high resolution corresponding to that of visible and near-infrared (VNIR) data and cannot adapt well to LSTs with complex nonlinear changes. Hence, this study propose...

Remotely sensed land surface temperature (LST) has become one of primary observational sources for urban climate research. However, LST is subject to considerable angular variation, particularly in urban areas caused by a large variation of sensor viewing angles and non-isothermal façades of 3D urban structures. Anisotropy varies seasonally and diu...

China has experienced varying degrees of increase or decrease in daytime and nighttime heatwaves, but studies have mostly been at the site or grid scale, and it remains unclear how daytime and nighttime heatwave events in China vary regionally when spatial scales are considered. Here, we redefine the different types of heatwave events in China from...

Surface urban heat island (SUHI) has been widely reported from a local to global scale. However, variations and controls of temporal indicators for SUHI and SUCI (surface urban cool island) remain unclear. This paper firstly reconstructed the seamless daily LST (land surface temperature) based on ATC-SKT (annual temperature cycle-skin temperature)...

Biomass burning refers to the combustion of various organisms formed through photosynthesis, including natural and man-made biomass burning. Biomass combustion has great impacts on nature and human health. Biomass combustion and industrial heat sources overlap in temperature range, it is difficult to distinguish them with traditional methods. In or...

Surface Urban heat island (SUHI) is a major adverse environmental consequence of urbanization. Many algorithms measuring SUHI across varying spatial or temporal scales are developed rapidly with the availability of thermal infrared (TIR) remote sensing data from satellites. However, the trade-off between the spatial and temporal resolution of TIR s...

As an urban heat island (UHI) is closely associated with a wide variety of environmental issues, it is necessary to monitor its spatiotemporal variations in an accurate and timely manner. However, the accuracy of surface urban heat island intensity (SUHII) estimation is greatly challenged by three issues. Namely, less attention has been given to ci...

The directional variation in upwelling thermal radiance (referred to as “thermal anisotropy”) is one of the important issues in retrieving representative urban land surface temperature (LST) from remote sensing data. Yet, there is a gap between urban thermal anisotropy assessed from different observational and modeling approaches at different time...

A detailed investigation of the microclimate is beneficial for optimizing the urban inner/spatial pattern to enhance thermal comfort or even reduce heatwave disasters, whereas accurately classifying local climate zones (LCZs) severely restricts analysis of thermal characterization. Generally, deep learning-based approaches are effective for adaptiv...

Trees play an important role in improving the microclimate and mitigating the urban heat island (UHI) effect. This paper focuses on the microclimate of an enclosed courtyard in North China and conducts three phases of simulations with an ENVI-met model to investigate the effect of tree height variations on façade temperatures. The results reveal th...

Soil salt content (SSC) is normally featured with obvious spatiotemporal variations in arid and semi-arid regions. Space factors such as elevation, temperature, and spatial locations are usually used as input variables for a model to estimate the SSC. However, whether temporal patterns of salt-affected soils (identified as temporal spectral pattern...

Urban building morphology has a significant impact on the urban thermal environment (UTE). The sky view factor (SVF) is an important structure index of buildings and combines height and density attributes. These factors have impact on the land surface temperature (LST). Thus, it is crucial to analyze the relationship between SVF and LST in differen...

Urban heat island (UHI), referring to higher temperatures in urban extents than its surrounding rural regions, is widely reported in terms of negative effects to both the ecological environment and human health. To propose effective mitigation measurements, spatiotemporal variations and control machines of surface UHI (SUHI) have been widely invest...

Opencast iron mine and mine solid waste (OIM-MSW) are closely associated with a wide range of environmental issues, such as destroying soil structure, affecting air quality, and damaging biodiversity. Therefore, accurately grasping the distribution of OIM-MSW is of great significance to monitoring and managing environmental conditions. In order to...

High-spatiotemporal-resolution land surface temperature (LST) plays an important role in various environment applications. However, the limitation of thermal infrared sensors and the effect of clouds and other atmospheric conditions result in discontinuous daily thermal observations of the Moderate Resolution Imaging Spectroradiometer (MODIS). Annu...

Beijing-Tianjin High Speed Railway is the first high-speed railway in China. The Beijing section of it runs through areas affected by subsidence which threaten its safe operation. This study develops a new time series fusion method based on the minimum gradient difference of a fitting curve to produce time series subsidence along this section. Thro...

Thermal sharpening expands the application of land surface temperature (LST) due to the trade-off between spatial and temporal resolutions. Fixed kernels (FK) are widely applied in two window strategies, local window strategies (LWS) and object-based window strategies (OWS). However, the fixed regression kernel effect on LWS and OWS has rarely been...

A R T I C L E I N F O Editor name: Jing M. Chen Keywords: Thermal remote sensing Urban thermal anisotropy Angular effect MODIS land surface temperature (LST) Model simulation A B S T R A C T Satellite observation of land surface temperature (LST) is an important tool for monitoring urban thermal environments but is prone to significant angular effe...

The common carp (Cyprinus carpio) is an invasive species in the rivers and waterways of southeastern Australia, and it has been implicated in the serious decline of many native fish species. Over the past 50 years, various control options have been explored, and to date, these have been ineffective or cost-prohibitive. Most recently, cyprinid herpe...

Urbanization is a complex process closely involving the economy, society, and population. While monitoring urban development and exploring the industry-driving force in a real-time and effective way are the prerequisites for optimizing industry structure, narrowing the urban development gap, and achieving sustainable development. Nighttime light is...

South-to-North Water Diversion Project Central Route (SNWDP-CR) is one of the largest human engineering projects aimed at redistributing water resources, receiving a worldwide attention. It conveys water from southern China to the Beijing Plain northward through a 1300-km long canal system and operated since December 2014. Before this date, water s...

Earthquakes are unpredictable and potentially destructive natural disasters that take a long time to recover from. Monitoring post-earthquake human activity (HA) is of great significance to recovery and reconstruction work. There is a strong correlation between night-time light (NTL) and HA, which aid in the study of spatiotemporal changes in post-...

Water quality research relies on field sampling, which is often very difficult to obtain, especially in arid areas. This study chose the Ebinur Lake Watershed in arid region as a study area. It analyzed 12 water quality parameters (WQPs) and hyper-spectral derived from 48 field samples. Parallel factor analysis (PARAFAC) method was employed to extr...

Land-surface temperature (LST) plays a key role in the physical processes of surface energy and water balance from local through global scales. The widely used one kilometre resolution daily Moderate Resolution Imaging Spectroradiometer (MODIS) LST product has missing values due to the influence of clouds. Therefore, a large number of clear-sky LST...

Water body, as water cool islands (WCIs), is an effective factor of mitigating the urban heat island (UHI) effects through the evaporation and absorption of solar shortwave radiance. In this study, a combination of the range, amplitude, efficiency and capacity of the WCI effect (WCI_R, WCI_A, WCI_E and WCI_C as descriptors) within water buffers, is...

The anisotropy of directional radiative surface temperature measurements over urban building surfaces is expected to have strong temporal variation. However, a model with the capability to simulate the temporal variation of urban thermal anisotropy (UTA) and with inversion abilities has not yet been developed. In this paper, the relationship betwee...

Land surface temperature (LST) is crucial to wide varieties of environmental issues, whereas its low tolerance to cloud contamination greatly challenges its applications. Passive microwave (PMW) measurements are employed to retrieve LST due to its great capability of penetrating clouds. Despite great efforts from previous studies, their further app...

The land surface temperature (LST) is a key parameter used to characterize the interaction between land and the atmosphere. Therefore, obtaining highly accurate, spatially consistent and temporally continuous LSTs in large areas is the basis of many studies. The Moderate Resolution Imaging Spectroradiometer (MODIS) LST product is commonly used to a...

Periodic inundation of floodplains and wetlands is critical for the well being of ecosystems. This study proposes a simple but efficient model that integrates time series daily flow data and the Landsat-derived Water Observation from Space (WOfS) product to model the spatio-temporal flood inundation dynamics of the Murray-Darling Basin. A zone-gaug...

The problem of soil salinization has always been a global problem involving resource, environmental, and ecological issues, and is closely related to the sustainable development of the social economy. Remote sensing provides an effective technical means for soil salinity identification and quantification research. This study focused on the estimati...

Carbon Capture and Storage (CCS) is an emerging climate change mitigation technology which prevents carbon dioxide (CO 2 ) from entering the atmosphere, so as to reduce greenhouse gas emissions. Environmental monitoring in CCS sites is critical for ensuring that any CO 2 leakage and its effect on biota, especially vegetation, is detectable. It also...

The trade-off between spatial and temporal resolutions has led to the disaggregation of remotely sensed land surface temperatures (LSTs) for better applications. The window used for regression is one of the primary factors affecting the disaggregation accuracy. Global window strategies (GWSs) and local window strategies (LWSs) have been widely used...

Surface urban heat island intensity (SUHII) widely acknowledged as the primary indicator has been extensively utilized in previous SUHI spatiotemporal research. However, diverse rural definitions reported in previous studies possibly affect rural temperature and consequently lead uncertainty and incomparability to SUHII dynamics. Despite of previou...

Super-resolution mapping of urban flood (SMUF) is one of the hotspots in remote sensing and urban environment research. In this letter, a new SMUF method based on the fusion of support vector machine and general regression neural network (FSVMGRNN) was proposed to achieve enhanced performance. An SVM-SMUF algorithm was developed and a fusion criter...

Cropping systems are extensively used in northwest China, which alter the soil structure and nutrients, causing the changes in the soil bacterial community. Although soil bacterial communities respond differently to altered cropping systems, little is known about possible effect of cropping systems on soil bacterial communities in reclaimed soils....

A demonstration project for Carbon Capture and Storage (CCS) is planned to be implemented in the Surat Basin, Queensland. Currently a number of projects aimed at establishing environmental monitoring systems and characterising the baseline conditions (i.e. before the CCS injection commences) are under way. These projects include, for example, measu...

Observation of surface water is a functional requirement for studying ecological and hydrological processes. Recent advances in satellite‐based optical remote sensors have promoted the field of sensing surface water to a new era. This paper reviews the current status of detecting, extracting, and monitoring surface water using optical remote sensin...

Due to China’s remarkable socioeconomic development, more and more protected areas have been affected by human activities which resulted in habitat loss and biodiversity decline. Timely and accurate quantification of human activity dynamics in protected areas will allow more informed and effective measures to be taken for biodiversity conservation....

The retrieval of soil moisture from passive microwave remote-sensing data is presently one of the most effective methods for monitoring soil moisture. However, the spatial resolution of passive microwave soil moisture products is generally low; thus, existing soil moisture products should be downscaled in order to obtain more accurate soil moisture...

With the rapid development of satellite imaging technology, large amounts of satellite images with high spatial resolutions are now available. High-resolution satellite imagery provides rich texture and structure information, which in the meantime poses a great challenge for automatic satellite scene recognition. In this study, a novel integration...

--- PDF IS HERE: https://osf.io/f8dqj/download --- Hydropower development in capacity-constrained countries can unfold through unsound policy arguments, narrow institutional and implementing arrangements, and ad hoc decision making processes. To derive insights for more legitimate policy making, we provide the first holistic account of Myanmar’s l...

Capturing the dynamics of a lake-water area using remotely sensed images has always been an essential task. Most of the fine spatial resolution data are unsuitable for this purpose because of their low temporal resolution and limited scene coverage. A Visible Infrared Imaging Radiometer Suite on board the Suomi National Polar-orbiting Partnership (...

In recent years the spatial resolutions of remote sensing images have been improved greatly. However, a higher spatial resolution image does not always lead to a better result of automatic scene classification. Visual attention is an important characteristic of the human visual system, which can effectively help to classify remote sensing scenes. I...

Mine-water managers need tools to guide robust management strategies that can address the challenges of climate-influenced water scarcity and unregulated discharge. We aimed to identify those factors driving the risks of insufficient water supply for mine production and unpermitted discharge of mine-affected water in a way that is robust to heterog...

The rapid development of global industrialization and urbanization has resulted in a great deal of electric power consumption (EPC), which is closely related to economic growth, carbon emissions, and the long-term stability of global climate. This study attempts to detect spatiotemporal dynamics of global EPC using the Defense Meteorological Satell...

Capturing the variation of lake-water area using remotely sensed imagery is an essential topic in many related fields. There are a variety of remote sensing data that can serve this purpose. Generally speaking, higher spatial resolution data are able to derive better results. However, most high spatial resolution data are sometimes defective becaus...

Reclamation of abandoned farmland is crucial to a sustainable agriculture in arid regions. This study aims to evaluate the impact of different reclamation treatments on abandoned salinized farmland. We investigated four artificial reclamation treatments, continuous cotton (CC), continuous alfalfa (CA), tree-wheat intercropping (TW) and trees (TS),...

An algorithm to estimate daily maximum Ta (Tamax) is presented in this study based on moderate resolution imaging spectroradiometer (MODIS) products and a daytime Ta variation model. The algorithm first estimates daytime Ta at the times of Terra and Aqua satellites overpass. Subsequently, the Tamax is inferred from the daytime Ta estimations using...

Regional flood risk caused by intensive rainfall under extreme climate conditions has increasingly attracted global attention. Mapping and evaluation of flood hazard are vital parts in flood risk assessment. This study develops an integrated framework for estimating spatial likelihood of flood hazard by coupling weighted naïve Bayes (WNB), geograph...

Near surface air temperature (Ta) is one of the most critical variables in climatology, hydrology, epidemiology, and environmental health. In situ measurements are not efficient for characterizing spatially heterogeneous Ta, while remote sensing is a powerful tool to break this limitation. This study proposes a mapping framework for daily mean Ta u...

China’s rapid urbanization has contributed to a massive agricultural land loss that could threaten its food security. Timely and accurate mapping of urban expansion and urbanization-related agricultural land loss can provide viable measures to be taken for urban planning and agricultural land protection. In this study, urban expansion in China from...