Jinfeng Zhu

Chinese Academy of Sciences | CAS · Institute of Remote Sensing and Digital Earth

The Badain Jaran Desert is a unique geomorphic unit with the world's highest sand hill and more than 100 lakes. However, there are different opinions on the boundary and the area of it, leading to the question whether its area is the second or the third in China. According to latest research achievements and extensive fieldwarks in 2009, questions...

The Three-River Headwaters (TRH) region in the Qinghai-Tibet Plateau, China, is of key importance to the ecological security of China and Southeast Asia and contains some of the most sensitive and fragile ecosystems. Monitoring and evaluating the ecosystem service function and its changes in the TRH region could support decision-making for regional...

Knowledge of the spatial distribution of populations at finer spatial scales is of significant value and fundamental to many applications such as environmental change, urbanization, regional planning, public health, and disaster management. However, detailed assessment of the population distribution data of countries that have large populations (su...

The three-river source region (TRSR, including Yangtze, Yellow and Lancang rivers), located in the Qinghai-Tibetan Plateau, China, is a typical alpine zone with apparent ecosystem vulnerability and sensitivity. In this paper, we introduced many interdisciplinary factors, such as landscape pattern indices (Shannon diversity index and Shannon evennes...

Limited by natural and scientific factors, freeze-thaw (FT) erosion, as a typical erosion process along with wind and water erosion, has not been given enough attention. In this paper, we introduce microwave remote sensing techniques to establish an estimation model of FT erosion. The model includes seven factors: the annual FT cycle days, the aver...

Flood disasters are frequent, sudden, and have significant chain effects, seriously damaging infrastructure. Remote sensing images provide a means for timely flood emergency monitoring. When floods occur, emergency management agencies need to respond quickly and assess the damage. However, manual evaluation takes a significant amount of time; in cu...

Earthquake disasters are marked by their unpredictability and potential for extreme destructiveness. Accurate information on building damage, captured in post-earthquake remote sensing images, is critical for an effective post-disaster emergency response. The foundational features within these images are essential for the accurate extraction of bui...

Building extraction based on remote sensing images has been widely used in many industries. However, state-of-the-art methods produce an incomplete segmentation of buildings owing to unstable multi-scale context aggregation and a lack of consideration of semantic boundaries, ultimately resulting in large uncertainties in predictions at building bou...

Extracting buildings from remote sensing imagery can serve many industries. Single-category building extraction, however, has been unable to meet the actual needs of sectors such as disaster prevention and mitigation. In this study, we create a large-scale high-quality multispectral dataset (BFE-Set) for fine-grained extraction of buildings. BFE-Se...

The undulating terrain in mountainous and hilly regions results in a greater variety and complexity of shadows. Efficient methods for shadow detection and reconstruction in high-resolution remote sensing images are particularly important in such hilly areas. The accurate detection of shadow masks is a prerequisite for shadow reconstruction. By util...

The response of tropospheric column nitrogen dioxide (NO2) variations under the background of Major Function Oriented Zones (MFOZs) over eastern China is analyzed in this study. There is an increasing and then decreasing trend in the average annual value of NO2 in eastern China, with the highest values in 2011 and the lowest in 2017. As serious pol...

Landslide dams are caused when landslide materials block rivers. After the occurrence of large-scale landslides, it is necessary to conduct a large-scale investigation of barrier lakes and a rapid risk assessment. Remote sensing is an important means to achieve this goal. However, at present, remote sensing is only used for the monitoring and extra...

Landslide dams are caused by landslide materials blocking rivers. After the occurrence of large-scale landslides, it is necessary to conduct large-scale investigation of barrier lakes and rapid risk assessment. Remote sensing is an important means to achieve this goal. However, at present remote sensing is only used for monitoring and extraction of...

Spatiotemporal distributions of CO2 obtained from the greenhouse gases observing satellite (GOSAT) over China from 2010 to 2017 and influence factors are presented in this study. It shows an annual increase and a seasonal cycle. The CO2 annual growth rate was about 2.34 ppm year⁻¹, with the highest value being in spring and the lowest in autumn. Ye...

Understanding the changes and interactions between landscape patterns and land use/land cover (LULC) in drinking water source protection areas (DWSPAs) is fundamentally important for effective land management to ensure landscape sustainability and the protection of water quality. However, there is limited research on LULC changes, landscape pattern...

This study presents an analysis of the atmospheric column nitrogen dioxide (NO 2 ) over China during 2008–2017. Measurements of NO 2 columns obtained from the Ozone Monitoring Instrument (OMI) are used to investigate the temporal and spatial dynamics of NO 2 . Temporal and spatial distributions of NO 2 obtained from OMI over China from 2008 to 2017...

Lightning-caused forest fires can cause serious damage to the social economy and public property and even threaten human life. Therefore, lightning-caused forest fire risk rating assessment is very important for forest management agency, because the risk rating assessment results could provide important information to prevent fires and allocate ext...

The accurate extraction of burned area is important for biomass burning monitoring and loss evaluation. Environment and Disasters Monitoring Microsatellite Constellation put forward by China has two satellites of HJ-1A and HJ-1B in orbit. Each satellite has two CCD cameras with four bands to meet the need of mapping burned area. In order to evaluat...

In Inner Mongolia, soil wind erosion is a serious environmental problem. The aim of the study was to develop an estimation model to analyze the spatial and temporal changes of soil wind erosion during 1985-2011 based on geographic information system and remote sensing. The results showed that wind erosion was widely distributed in Inner Mongolia wi...

Carbon dioxide CO2 is the most important anthropogenic greenhouse gas contributing to global climate change. SCIAMACHY on board ENVISAT launched in 2002 is the first satellite instrument to monitor the changes in CO2 concentration in the lowest atmospheric layers. The temporal and spatial distribution of CO2 2003–2009 concentration based on SCIAMAC...

The meteorological data of 9 stations around the Badain Jaran desert are analyzed by through the liner regression method, 5 year moving average and Mann-Kendall abrupt test to get the feature of climate change in this area in the past 50 years. The data includes monthly mean temperature, mean maximum temperature, mean minimum temperature, precipita...

Based on the observational data of monthly mean air temperature, precipitation and relative humidity from 1960 to 2009 recorded by 4 weather stations, Ejin Banner and Guaizihu, which are located on the northern margin of the Badain Jaran Desert, Alashan right banner and Yabrai, which are located on the southern margin. The fundamental change charac...