Bingwen Qiu

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Verified

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• PhD
• Professor at Fuzhou University

Paddy rice cultivation can be implemented as single rice, double rice and upland-rice. The latter two multiple cropping patterns has been widely implemented in China, the largest rice producing country. It is important to monitor national-scale rice cropping patterns (CP) to understand sustainable intensification for a larger rice bowl. However, it...

Complex cropping patterns with crop diversity are an underexploited treasure for global food security. However, significant methodological and dataset gaps in fully characterizing cropland cultivated with multiple crops and rotation sequences hinder our ability to understand and promote sustainable agricultural systems. Existing crop mapping models...

Plastic-covered greenhouse (PCG) is widely used in agricultural production due to its temperature control, water conservation, and wind protection characteristics, significantly enhancing crop yields and economic benefits. However, its long-term and extensive use can lead to environmental issues, such as the accumulation of local toxic gases and th...

The amount of actively cultivated land in China is increasingly threatened by rapid urbanization and rural population aging. Quantifying the extent and changes of active cropland and cropping intensity is crucial to global food security. However, national-scale datasets for smallholder agriculture are limited in spatiotemporal continuity, resolutio...

Accurate mapping of winter wheat provides essential information for food security and ecosystem protection. Deep learning approaches have achieved promising crop discrimination performance based on multitemporal satellite imagery. However, due to the high dimensionality of the data, sequential relations, and complex semantic information in time-ser...

Multiple cropping is a widespread agricultural intensification for increasing food production. National-scale Cropping Intensity (CI) mapping is important for achieving sustainable development goals. However, previous studies have largely relied on vegetation indices (VI) waves for detecting valid cropping cycles, which is challenged by the complex...

Spatial distribution of cropping system is vital for ensuring the implementation of the national food security strategy in China. However, there is a deficiency of efficient remote sensing techniques and updated spatial data on cropping system at large scale. It is challenging to automatically map cropping system in the absence of large amount of f...

Timely and accurate mapping of paddy rice cultivation is needed for maintaining sustainable rice production, ensuring food security, and monitoring water usage. Synthetic Aperture Radar (SAR) remote sensing plays an important role in the continuous monitoring and mapping of rice cultivation in cloudy regions since it is not affected by weather cond...

Maize yield in China accounts for more than one-fourth of the global maize yield, but it is challenged by frequent extreme weather and increasing food demand. Accurate and timely estimation of maize yield is of great significance to crop management and food security. Commonly applied vegetation indexes (VIs) are mainly used in crop yield estimation...

Detailed and updated maps of actively cropped fields on a national scale are vital for global food security. Unfortunately, this information is not provided in existing land cover datasets, especially lacking in smallholder farmer systems. Mapping national-scale cropped fields remains challenging due to the spectral confusion with abandoned vegetat...

Multiple cropping is a widespread approach for intensifying crop production through rotations of diverse crops. Maps of cropping intensity with crop descriptions are important for supporting sustainable agricultural management. As the most populated country, China ranked first in global cereal production and the percentages of multiple-cropped land...

Accurate and timely spatiotemporal distribution information of soybean is vital for sustainable agriculture development. However, it is challenging to establish a phenology-based automated crops mapping algorithm at large spatial domains by simply applying vegetation index temporal profile. This study developed a Phenology-based automatic Soybean m...

As one of the new and crucial fields of economic development, the digital economy refers to the economic activities associated with digital technologies and information. The traditional measurement mainly relies on the statistical data, which are regionally specific and labour cost. As an appropriate proxy for socio-economic activities, nighttime l...

The demand for agricultural products continues to increase while there is little room for cropland expansion. Agricultural intensification on existing croplands may provide a promising solution to increase agricultural production and alleviate the human-land conflict. To achieve this, the spatio-temporal dynamics of cropping intensity are essential...

Greening, an increase in photosynthetically active plant biomass, has been widely reported as period-related and region-specific. We hypothesized that vegetation trends were highly density-dependent with intensified browning in dense canopies and increased greening in sparse canopies. We exploited this insight by estimating vegetation trends in pea...

Updated spatiotemporal explicit data on cropping system is vital for ensuring the implementation of the national food security strategy and reasonable cropping structures. Time series analysis techniques are playing a more important role in agricultural remote sensing along with the continuously improved quality of remote sensing time series images...

Reliable spatiotemporal crop data are vital for sustainable agricultural management. However, efficient algorithms that can be automatically applied to large regions are scarce, especially for cash crops, since it is hard to distinguish their uniqueness merely from temporal profiles of traditional vegetation indices. The efficiency of knowledge-bas...

Rapid urbanization in China has prompted plenty of urban facilities to be constructed with the expectation of harmonizing with the rapid growth of urban population. However, regarding the spatial interactions produced by cross-area human mobility, the diversity and variability of residents' trip requirements inevitably cause the deviations of the r...

Greening represents a significant increase in vegetation activity. Accurate quantification of global greening in peak growth is vital for quantifying changes in terrestrial productivity. Normalized Difference Vegetation Index (NDVI) is the remote sensing indicator most commonly applied for this purpose. However, there is limited knowledge about how...

Cropland abandonment has long been recognized as a marginalization process in rural regions but recently also as a precursor to urbanization in peri‐urban regions. This study aimed to evaluate the relative importance of urbanization and poor productivity in cropland abandonment. A thorough investigation was conducted on 345 cities/towns at the pref...

Urban expansion results in landscape pattern changes and associated changes in land surface temperature (LST) intensity. Spatial patterns of urban LST are affected by urban landscape pattern changes and seasonal variations. Instead of using LST change data, this study analysed the variation of LST aggregation which was evaluated by hotspot analysis...

Efficient and timely quantification of landscape changes of urbanization, devegetation, and inundation in China is important for decision making in sustainable development. This study proposed a novel and automatic approach to track landscape changes in China based on 500 m 8‐day composite MODIS datasets from 2001 to 2017. An overall accuracy of 94...

Maize agriculture is experiencing substantial changes in the spatiotemporal pattern of planting areas in the most populous country-China. However, there is no spatially explicit and continuous information at national scale. Mapping maize at national scale is challenging due to intra-class variability of Vegetation Indices (VIs) temporal profile. Th...

Accurate and automatic monitoring and assessment of vegetation changes are important to support food security, ecosystem balance and global climate regulation. Compared with urbanization and deforestation, vegetation changes such as afforestation, cropland reclamation and variations in cropping intensity were understudied. This study aimed to propo...

Spatiotemporal explicit information on paddy rice distribution is essential for ensuring food security and sustainable environmental management. Paddy rice mapping algorithm through the Combined Consideration of Vegetation phenology and Surface water variations (CCVS) has been efficiently applied based on the 8 day composites time series datasets....

The Three-North Shelter Forest Program (TNSFP) in China has been intensely invested for approximately 40 years. However, the efficacy of the TNSFP has been debatable due to the spatiotemporal complexity of vegetation changes. A novel framework was proposed for characterizing vegetation changes in the TNSFP region through Combining Trend and Tempora...

Soil, as one of the three basic biophysical components, has been understudied using remote sensing techniques compared to vegetation and impervious surface areas (ISA). This study characterized land surfaces based on the brightness–darkness–greenness model. These three dimensions, brightness, darkness, and greenness, were represented by the first T...

Long range continuous monitoring information of cropping intensity is useful for sustainable agricultural management but still limited. This study filled this information gap through delivering spatiotemporal continuous datasets of cropping intensity in China during the past 30 years. Cropping intensity data were derived by a wavelet features-based...

Accurate and updated information on winter wheat distribution is vital for food security. The intra-class variability of the temporal profiles of vegetation indices presents substantial challenges to current time series-based approaches. This study developed a new method to identify winter wheat over large regions through a transformation and metri...

Plateau vegetation is considered to be highly sensitive to climate change, especially at higher altitudes. Although the Tibetan Plateau has experienced intensive warming over the past few decades, there is much contradictory evidence regarding its phenological variations and the impact of climatic change. In this study, we explored vegetation pheno...

Given the complexity of vegetation dynamics patterns under global climate change, multi-scale spatiotemporal explicit models are necessary in order to account for environmental heterogeneity. However, there is no efficient time series tool to extract, reconstruct and analyze the multi-scale vegetation dynamic patterns under global climate change. T...

This study proposed a simple Smoother without any local adjustments based on Continuous Wavelet Transform (SCWT). And then it evaluated its performance together with other commonly applied techniques in phenological estimation. These noise reduction methods included Savitzky–Golay filter (SG), Double Logistic function (DL), Asymmetric Gaussian func...

Accurate and updated time series maps of paddy rice distribution and planting intensity will greatly improve our knowledge. Unfortunately, spatiotemporal explicit information on rice fields is relatively limited, and considerable uncertainties still exist as regards to its inter-annual variations in China. In this study, an improved rice mapping me...

Variogram has been utilized to exploring the spatial heterogeneity of remote sensing images, especially its association with spatial resolution. However, very few attentions have been drawn on evaluating the spatial heterogeneity of multisensor airborne imagery and its relationship with spectral wavelength. Therefore, an investigation was carried o...

This paper develops a new crop mapping method through combined utilization of both time and frequency information based on wavelet variance and Jeffries-Matusita (JM) distance (CIWJ for short). A two-dimensional wavelet spectrum was obtained from datasets of daily continuous vegetation indices through a continuous wavelet transform using the Mexica...

This paper investigated spatiotemporal dynamic pattern of vegetation, climate factor, and their complex relationships from seasonal to inter-annual scale in China during the period 1982–1998 through wavelet transform method based on GIMMS data-sets. First, most vegetation canopies demonstrated obvious seasonality, increasing with latitudinal gradie...

The complex spatiotemporal vegetation variability in the subtropical mountain-hill region was investigated through a multi-level modeling framework. Three levels — parcel, landscape, and river basin levels-were selected to discover the complex spatiotemporal vegetation variability induced by climatic, geomorphic and anthropogenic processes at diffe...

Understanding the seasonal behaviour of a subtropical forest and its inter-annual variation is crucial to understanding and monitoring its ecosystem function in the context of global warming. Based on the Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index dataset, a wavelet transform method was used to investigate the i...

The scale-location specific control on vegetation distribution was investigated through continuous wavelet transforms approaches in subtropical mountain-hill region, Fujian, China. The Normalized Difference Vegetation Index (NDVI) was calculated as an indicator of vegetation greenness using Chinese Environmental Disaster Reduction Satellite images...

Knowledge of spatio-spectral heterogeneity within multisensor remote sensing images across visible, near-infrared and short wave infrared spectra is important. Till now, little comparative research on spatio-spectral heterogeneity has been conducted on real multisensor images, especially on both multispectral and hyperspectral airborne images. In t...

Most evaluation of the consistency of multisensor images have focused on Normalized Difference Vegetation Index (NDVI) products for natural landscapes, often neglecting less vegetated urban landscapes. This gap has been filled through quantifying and evaluating spatial heterogeneity of urban and natural landscapes from QuickBird, Satellite pour l'o...

This paper evaluated the spatiotemporal non-stationarity in the vegetation dynamic based on 1-km resolution 16-day composite Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) datasets in China during 2001-2011 through a wavelet transform method. First, it revealed from selected pixels that agricultural crops, nat...

Knowledge of vegetation distribution patterns is very important. Their relationships with topography and climate were explored through a geographically weighted regression (GWR) framework in a subtropical mountainous and hilly region, Minjiang River Basin of Fujian in China. The HJ-1 satellite image acquired on December 9, 2010 was utilized and NDV...

Knowledge of both vegetation distribution pattern and phenology changes is very important. Their complicated relationship with elevation and accessibility were explored through a geographically weighted regression (GWR) framework in Fujian province, China. The 16-day time series of 250 m Moderate Resolution Imaging Spectroradiometer (MODIS) Enhance...

Spatial heterogeneity of airborne remote sensing images is critical for surface character delineation. The purpose of this paper is to quantify and evaluate the spatial variability and characteristic scales of Coniferous trees from multi-sensor airborne images by applying variogram modelling. The Airborne Thematic Mapper (ATM) �� Compact Airborne S...

Study of spatial scale effect on regional land-use pattern analysis for construction of spatial model of regional land-use change entails consideration of regional land-use classification system selected and data source used. The effect characteristics of spatial scale on the results of regional land-use pattern analysis was investigated for two di...

Impact of spatial scales on land use patterns and identification of its potential influencing factors is essential for full understanding of its complexity. The main purpose of this paper was to perform a multi-scale analysis of cultivated land pattern of Fujian province by means of statistical analysis through overall study and each agro-zone resp...

Land use patterns are governed by a broad variety of potential driving forces and constraints which act over a large range of scales and multi-scale investigation of land use patterns is essential for full understanding of its complexity. The main purpose of this paper was to perform a multi-scale analysis of arable land distribution pattern of Fuj...

Land use drivers that best describe land use patterns quantitatively are often selected through regression analysis. A problem using conventional statistical methods in spatial land use analysis is that these methods assume the data to be statistically independent while spatial land use data have the tendency to be dependent, known as spatial autoc...

The paper first addresses the goal of digital province and conduct a particular analysis for the content of digital agriculture including the construction of agricultural database and agricultural information system. Then based on the analysis of digital agriculture, this paper bring forward the technology architecture and implementation methods of...

An agricultural geographic information system has been developed to support agricultural resource management, agricultural economic analysis in Zhangzhou area in Fujian Province, the Southeast of China. The system is based on SuperMap GIS technology, mathematics modeling and Visual Basic language. It has functions such as agricultural information d...

Sustainable land use is an important guarantee of sustainable development. Dynamic land suitability assessment can monitor the land quality at different time. A dynamic land suitability assessment research was carried out in Shizi mountain area of Wuhan city in China in 1982, 1994 and 1998. In this research, the plot was taken as the study area and...

The application of a Multi-Criteria Evaluation (MCE) approach to identify suitable areas for the production of banana, lichee and longan in Southeast of Fujian Province in China was presented. Climate, terrain and soil databases were used to integrate GIS coverage. Because of the varied topography of Fujian Province, the yearly average temperature...

Based on the SuperMap GIS, an agricultural land suitability assessment system (ALSAS) for Zhangzhou Area in Fujian Province was developed using the vector data model and the intersecting result of evaluation factors as the evaluating unit. The selection of evaluation crop and evaluation factors, determination of target gradation and weights can all...