Weidong Man

North China University of Science and Technology · College of Mining Engineering

Monitoring and assessing ecological quality (EQ) can help to understand the status and dynamics of the local ecosystem. Moreover, land use and climate change increase uncertainty in the ecosystem. The Luanhe River Basin (LHRB) is critical to the ecological security of the Beijing–Tianjin–Hebei region. To support ecosystem protection in the LHRB, we...

Purpose Wetlands have a critical impact on the global carbon cycle. This study aims to investigate the spatial and vertical distribution of the soil organic carbon concentration (SOCc), to identify the differences of SOCc among swamps, marshes, bogs, and fens at a regional scale, and finally to examine the main environmental factors impacting SOCc...

Soil is the largest pool of terrestrial organic carbon in the biosphere and interacts strongly with the atmosphere, climate and land cover. Remote sensing (RS) and geographic information systems (GIS) were used to study the spatio-temporal dynamics of croplands and soil organic carbon density (SOCD) in the Sanjiang Plain, to estimate soil organic c...

The Northeast region is one of the most important agricultural production bases in China. To reveal the change rules of cropland in Northeast China, based on Landsat TM/ETM+/OLI images, combining object-based classification and manual interpretation, the information of cropland in 1990, 2000 and 2013 was extracted. Combining the results of classifi...

Dramatic forest dynamics strongly influence pressure mitigation from the increasing population and climate changes of an urban landscape. Effectively monitoring landscapes in a spatiotemporally consistent manner, satellite remote sensing has emerged as the first analytical tool to help us understand the changes in urban forests. At present, most st...

Accurate building extraction holds paramount importance in various applications such as urbanization rate calculations, urban planning, and resource allocation. In response to the escalating demand for precise low-altitude unmanned aerial vehicle (UAV) building segmentation in intricate scenarios, this study introduces a semi-supervised methodology...

The leaf area index (LAI) is an essential biophysical parameter for describing the vegetation canopy structure and predicting its growth and productivity. Using unmanned aerial vehicle (UAV) hyperspectral imagery to accurately estimate the LAI is of great significance for Spartina alterniflora (S. alterniflora) growth status monitoring. In this stu...

Coastal wetland soil organic carbon (CW-SOC) is crucial for wetland ecosystem conservation and carbon cycling. The accurate prediction of CW-SOC content is significant for soil carbon sequestration. This study, which employed three machine learning (ML) methods, including random forest (RF), gradient boosting machine (GBM), and extreme gradient boo...

Soil total nitrogen (STN) is a crucial component of the ecosystem’s nitrogen pool, and accurate prediction of STN content is essential for understanding global nitrogen cycling processes. This study utilized the measured STN content of 126 sample points and 40 extracted remote sensing variables to predict the STN content and map its spatial distrib...

Aboveground biomass (AGB) mapping using spaceborne LiDAR data and multi-sensor images is essential for efficient carbon monitoring and climate change mitigation actions in heterogeneous forests. The optimal predictors of remote sensing-based AGB vary greatly with geographic stratification, such as topography and forest type, while the way in which...

Large scale Ecosystem restoration projects (ERPs) have been implemented to restore vegetation and increase carbon stocks across China. However, whether restored vegetation is strongly resistant to Extreme drought events (EDEs) remains unclear, especially when compared to natural vegetation. Therefore, we used the standardized anomaly of 3-month Sta...

Coastal wetland soil organic carbon (CW-SOC) is crucial for both “blue carbon” and carbon sequestration. It is of great significance to understand the content of soil organic carbon (SOC) in soil resource management. A total of 133 soil samples were evaluated using an indoor spectral curve and were categorized into silty soil and sandy soil. The pr...

Accurate and effective mapping of forest aboveground biomass (AGB) in heterogeneous mountainous regions is a huge challenge but an urgent demand for resource managements and carbon storage monitoring. Conventional studies have related the plot-measured or LiDAR-based biomass to remote sensing data using pixel-based approaches. The object-based rela...

Large-scale Ecosystem Restoration Projects (ESPs) have been launched to restore vegetation and increase carbon stocks across China. Whether these ESPs could mitigate the loss of carbon emission due to vegetation degradation caused by human disturbances, such as urban expansion, remains unclear. In this study, we analysed the major human-driven land...

Forest stand volume is a vital indicator of productivity and carbon storage. Conventionally, stand volume is estimated from field samples, Synthetic Aperture Radar (SAR), and optical imagery, which suffer saturation problems. Although Light Detection and Ranging (LiDAR) technique degrades the signal saturation, its large�scale application is hinde...

Comparative evaluation of cross-boundary wetland protected areas is essential to underpin knowledge-based bilateral conservation policies and funding decisions by governments and managers. In this paper, wetland change monitoring for the Wusuli River Basin in the cross-boundary zone of China and Russia from 1990 to 2015 was quantitatively analyzed...

Understanding where important ecosystem services originate in space and how they change in time is essential for sustainable ecosystem management. Spatially explicit information of integrated changes in land cover and ecosystem services impacted by diverse policies has been unavailable in Northeast China, limiting the improvement of human well-bein...

Given the extensive spread and ecological consequences of exotic Spartina alterniflora (S. alterniflora) over the coast of mainland China, monitoring its spatiotemporal invasion patterns is important for the sake of coastal ecosystem management and ecological security. In this study, Landsat series images from 1990 to 2015 were used to establish mu...

Being one of the most important habitats for waterbirds, China’s West Songnen Plain has experienced substantial damage to its ecosystem, especially the loss and degradation of wetlands and grasslands due to anthropogenic disturbances and climate change. These occurrences have led to an obvious decrease in waterbird species and overall population si...

Mangrove forests are important coastal ecosystems and are crucial for the equilibrium of the global carbon cycle. Monitoring and mapping of mangrove forests are essential for framing knowledge-based conservation policies and funding decisions by governments and managers. The purpose of this study was to monitor mangrove forest dynamics in the Quanz...

Plant invasion imposes significant threats to biodiversity and ecosystem function. Thus, monitoring the spatial pattern of invasive plants is vital for effective ecosystem management. Spartina alterniflora (S. alterniflora) has been one of the most prevalent invasive plants along the China coast, and its spread has had severe ecological consequence...

As a wetland of international importance, the ecological function zone of the Sanjiang Plain (EFZSP) plays an important role in maintaining waterfowl habitat. With the increasing disturbance of human beings, land use and climate changes, habitat suitability for waterfowls (HSW) has drawn greater attention of ecologists. In this study, Landsat TM/ET...

Anthropogenic land cover (ALC) expansion is one of the major drivers of regional environmental change in coastal zones. With increasing scientific and political interest in regional aspects of global environmental changes, there is a strong impetus to better understand the patterns, causes and environmental consequences of ALC expansion in the low...

Crop classification and yield estimation are key research in remote sensing-based precision agriculture, which have important significance in making agricultural policies. To improve the accuracy of classification based on single-source and single-season images, multi-temporal, multi-source and high spatial resolution image data were used to extrac...

Spartina alterniflora (S. alterniflora) is one of the most harmful invasive plants in China. Google Earth (GE), as a free software, hosts high-resolution imagery for many areas of the world. To explore the use of GE imagery for monitoring S. alterniflora invasion and developing an understanding of the invasion process of S. alterniflora in the Zhan...

Peatlands are one of the most important types of wetlands and significant to the balance of global change and ecosystems. On the basis of field investigation and backscatter coefficient comparison of different land cover types in different polarization radar images, ENVISAT ASAR, Landsat TM, and DEM data were taken as basic data for a classificatio...

Human activity together with climatic changes have resulted in the substantial loss of wetlands in the Tumen River Basin of China in the past five decades. In this study, the landscape dynamics of wetlands upstream, midstream and downstream of the Tumen River Basin from 1960 to 2009 were investigated using remote sensing and geographic information...

Cultivated land resource is the material base that mankind depend on for existence. Understanding how the cultivated land changes in quantity and quality has an important significance for country's food security and social stability. Based on the satellite images from Landsat TM/ETM in 2000 and OLI in 2013, this paper mapped the spatial distributio...

Wetland plays an important role in the global ecological balance and ecological safety. Comparatively, wetland has higher ecosystem diversity and structure complexity, and its classification is more difficult. All of these make misuses of English vocabulary for wetland terms common in related researches, which seriously impact the spreading and cor...