A5046965940- Remote Sensing in Agriculture
- Rice Cultivation and Yield Improvement
- Advanced Image Fusion Techniques
- GABA and Rice Research
- Cryospheric studies and observations
- Remote-Sensing Image Classification
- Agriculture, Soil, Plant Science
- Remote Sensing and LiDAR Applications
- Plant responses to water stress
- Arctic and Antarctic ice dynamics
- Sustainable Agricultural Systems Analysis
- Remote Sensing and Land Use
- Atmospheric and Environmental Gas Dynamics
- Flood Risk Assessment and Management
- Soil Carbon and Nitrogen Dynamics
- Plant Physiology and Cultivation Studies
- Legume Nitrogen Fixing Symbiosis
- Forest, Soil, and Plant Ecology in China
- Food composition and properties
- Water Quality Monitoring Technologies
- Plant and animal studies
- Waste Management and Recycling
- Environmental Changes in China
- Anomaly Detection Techniques and Applications
- Plant nutrient uptake and metabolism
Yangtze University
2020-2024
Beijing Institute of Technology
2023
Chinese Academy of Sciences
2019-2021
University of Chinese Academy of Sciences
2020-2021
Wuhan Institute of Physics and Mathematics
2020-2021
Institute of Geodesy and Geophysics
2019
Beijing University of Agriculture
2015
Peking University
2005-2006
Significance Adzuki bean ( Vigna angularis ) is distinct in its high starch and low fat accumulation. However, the underlying genetic basis still not well understood. In this study, we generated a high-quality draft genome sequence of adzuki by using whole-genome shotgun sequencing strategy. By comparative genomic transcriptome analyses, demonstrated that significant difference content between soybean were caused transcriptional abundance rather than copy number variations genes related to...
Abstract River wetted width (RWW) is an important variable in the study of river hydrological and biogeochemical processes. Presently, RWW often measured from remotely sensed imagery, accuracy estimation typically low when coarse spatial resolution imagery used because boundaries run through pixels that represent a region mixture water land. Thus, conventional hard classification methods are RWW, mixed pixel problem can become large source error. To address this problem, paper proposes novel...
• Category-based reconstruction model for water bodies in cloud-contaminated images. Landsat and Sentinel-2 images as optical multispectral data verification. Eight study areas, including lakes rivers with diverse terrain hydrogeology. Proposed is effective at mapping cloud-covered bodies. Optical remote sensing imagery commonly used to monitor the spatial temporal distribution patterns of inland waters. Its usage, however, limited by cloud contamination, which results low-quality or missing...
Water and nutrient absorption from soil by crops mainly depend on the morphological traits distribution of crop roots. Dense planting with reduced nitrogen is a sustainable strategy for improving grain yield use efficiency. However, there little information effects dense direct-seeded inbred rice. Two-year field experiments were conducted minirhizotron techniques to characterize root distributions under different application rates sowing densities in two representative rice varieties,...
Superresolution mapping (SRM) is a commonly used method to cope with the problem of mixed pixels when predicting spatial distribution within low-resolution pixels. Central popular SRM pattern model, which utilized represent land cover The use an inappropriate model limits such analyses. Alternative approaches, as deep-learning-based algorithms, learn from training data through convolutional neural network, have been shown considerable potential. Deep learning methods, however, are limited by...
The spatiotemporal reflectance fusion method is used to blend high-temporal and low-spatial resolution images with their low-temporal high-spatial counterparts that were previously acquired by various satellite sensors. Recently, a wide variety of learning-based solutions have been developed, but challenges remain. These usually require two sets data before after the prediction time, making them unsuitable for near-real-time predicting. are always trained band thus do not consider spectral...
Abstract. The turbulent heat flux (THF) over leads is an important parameter for climate change monitoring in the Arctic region. THF often calculated from satellite-derived ice surface temperature (IST) products, which mixed pixels containing both and open water along lead boundaries reduce accuracy of THF. To address this problem, paper proposes a deep residual convolutional neural network (CNN)-based framework to estimate at subpixel scale (DeepSTHF) based on remotely sensed images....
Indica–japonica hybrid rice (I–JR) typically has greater grain yield than that of Indica (IR) under prolific shading, but it is not known how shading impacts on physiological characteristics underpinning quality. Here, we conducted a two-year field experiment in the mid-reaches Yangtze River region using I–JR (genotypes Yongyou 1540 and 538) IR Y-liangyou 900 Quanyouhuazhan). We found reduced appearance quality, particularly milling heading rates, chalkiness. Shading disrupted carbon...
Super-resolution mapping (SRM) can effectively predict the spatial distribution of land cover classes within mixed pixels at a higher resolution than original remotely sensed imagery. The uncertainty fraction errors is one most important factors affecting SRM accuracy. Studies have shown that methods using deep learning techniques significantly improved accuracy but not coped well with spectral–spatial errors. This study proposes an end-to-end model generative adversarial network (SGS)...
Superior yields of super hybrid rice have demonstrably contributed to contemporary food security. Despite this, the extent which intensive nitrogen fertilizer requirements such crops impacted on soil health and microbial communities primarily remains unchartered territory, evoking questions sustainability. Here, we examine how four management treatments (zero fertilizer, CK; farm practice, FP; high-yield high-efficiency, HYHE; super-high-yield management, SHY) influenced grain yields,...
At present, the method of using conventional distance to calculate similarity between sequences needs be further improved. It seems challenging accurately characterize shape and trend changes time series solely based on analyzing computing data itself. In this paper, fuzzy theory is introduced analyze reconstruct high-dimensional series. The reconstructed segmented encapsulates throughout entire span. By defuzzifying series, it mapped corresponding morphological representation, yielding a...