A5100389708- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Advanced Image Fusion Techniques
- Marine and coastal ecosystems
- Urban Heat Island Mitigation
- Toxic Organic Pollutants Impact
- Water Quality Monitoring and Analysis
- Remote Sensing and LiDAR Applications
- Geochemistry and Geologic Mapping
- Water Quality Monitoring Technologies
- Calibration and Measurement Techniques
- Hydrology and Watershed Management Studies
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Atmospheric Ozone and Climate
- Cryospheric studies and observations
- Gamma-ray bursts and supernovae
- Environmental Changes in China
- Atmospheric aerosols and clouds
- Climate variability and models
- Atmospheric and Environmental Gas Dynamics
- Infrared Target Detection Methodologies
- Flood Risk Assessment and Management
Beijing University of Chemical Technology
2015-2025
Jiangsu University of Science and Technology
2019-2025
Chinese Academy of Sciences
2015-2024
University of Chinese Academy of Sciences
2007-2024
Aerospace Information Research Institute
2019-2024
Changzhou Institute of Technology
2012-2024
Hohai University
2018-2024
Beijing University of Chinese Medicine
2013-2024
Liaoning Technical University
2023-2024
Central South University of Forestry and Technology
2020-2024
Land use policies have turned southern China into one of the most intensively managed forest regions in world, with actions maximizing cover on soils marginal agricultural potential while concurrently increasing livelihoods and mitigating climate change. Based satellite observations, here we show that diverse land changes increased standing aboveground carbon stocks by 0.11 ± 0.05 Pg C y-1 during 2002-2017. Most this regional sink was contributed newly established forests (32%), already...
Abstract. The amount of impervious surface is an important indicator in the monitoring intensity human activity and environmental change. use remote sensing techniques only means accurately carrying out global mapping surfaces covering large areas. Optical imagery can capture reflectance characteristics, while synthetic-aperture radar (SAR) images be used to provide information on structure dielectric properties materials. In addition, nighttime light (NTL) detect thus a priori probabilities...
Anomaly detection is an active topic in hyperspectral imaging, with many practical applications. Reed-Xiaoli detector (RXD), a widely used method for anomaly detection, uses the covariance matrix and mean vector to represent background signals, assuming that information adjusts multivariate normal distribution. However, general, real images present very complex backgrounds. As result, situations, cannot be properly modeled. An important reason samples often contain also anomalous pixels...
Significance As an essential micronutrient, Gram-negative bacteria must concentrate Mn 2+ into the cytosol via active transport systems to meet cellular demands. Whereas inner membrane transporters have been characterized, transporter for translocation of across outer has not described. Here we report a -scavenging pathway consisting newly identified TonB-dependent manganese transporter, MnoT, and type VI secretion system (T6SS)-secreted -binding protein, TseM. Traditionally, T6SS is...
An adaptive Markov random field (MRF) approach is proposed for classification of hyperspectral imagery in this letter. The main feature the method introduction a relative homogeneity index each pixel and use to determine an appropriate weighting coefficient spatial contribution MRF classification. In way, overcorrection spatially high variation areas can be avoided. Support vector machines are implemented improved class modeling better estimate spectral approach. Experimental results...
The coking process is considered to be a potential source of unintentionally produced persistent organic pollutants (UP-POPs). However, intensive studies on the emission UP-POPs from industry are still very scarce. Emission polychlorinated dibenzo-p-dioxins/dibenzofurans (PCDD/Fs), dioxin-like biphenyls (dl-PCBs), hexachlorobenzene (HxCBz), and pentachlorobenzene (PeCBz) covered under Stockholm Convention were investigated for in this study. Stack gases some typical coke plants China...
Segmentation of high-resolution remote sensing images is an important challenge with wide practical applications. The increasing spatial resolution provides fine details for image segmentation but also incurs ambiguities. In this paper, we propose a generative adversarial network and channel attention mechanisms (GAN-SCA) the robust buildings in images. (generator) proposed framework composed well-known semantic architecture (U-Net) (SCA). adoption SCA enables to selectively enhance more...
Hyperspectral image classification has been a very active area of research in recent years. It faces challenges related with the high dimensionality data and limited availability training samples. In order to address these issues, subspace-based approaches have developed reduce input space better exploit (limited) samples available. An example this strategy is recently subspace-projection-based multinomial logistic regression technique able characterize mixed pixels, which are also an...
Spectral mixture analysis has been an important research topic in remote sensing applications, particularly for hyperspectral data processing. On the basis of linear spectral models, this paper applied directed and weighted graphs to describe relationship between pixels. In particular, we transformed endmember extraction problem decomposition mixed pixels into issue optimization built feasible solution space evaluate practical significance objective function, thereby establishing two ant...
Cropland mapping via remote sensing can provide crucial information for agri-ecological studies. Time series of imagery is particularly useful agricultural land classification. This study investigated the synergistic use feature selection, Object-Based Image Analysis (OBIA) segmentation and decision tree classification cropland using a finer temporal-resolution Landsat-MODIS Enhanced time in 2007. The enhanced extracted 26 layers Normalized Difference Vegetation Index (NDVI) five NDVI Series...
This paper studies the use of Fully Convolutional Networks (FCN) model in extraction water bodies from Very High spatial Resolution (VHR) optical images case limited training samples. Two different seasonal GaoFen-2 with a resolution 0.8 m south Beijing metropolitan area were used to extensively validate FCN model. Four key factors including input features, data, transfer learning, and data augmentation related performance empirically analyzed by using 36 combinations various parameter...
A new species, Odorrana sangzhiensis sp. nov. , is described, based on five specimens from Sangzhi County, Zhangjiajie City, Hunan Province, China. Molecular phylogenetic analyses, mitochondrial 12S rRNA and 16S gene sequences, strongly support the species as a monophyletic group nested into O. schmackeri complex. The can be distinguished its congeners by combination of following characters: (1) body size medium (SVL: 42.1–45.1 mm in males, 83.3–92.7 females); (2) dorsolateral folds absent;...
Traditional manual methods of extracting water bodies from remote sensing images cannot satisfy the requirements for mass processing data, and new automated are complicated require a large amount auxiliary data. The histogram bimodal method is frequently used objective tool threshold selection in image segmentation. However, automatically calculating difficult because complex surfaces noise, which lead to imperfect twin peaks. To overcome these difficulties, we developed an operational...
As an important parameter of forest biomass, height is great significance for the calculation carbon stock and study cycle in large-scale regions. The main idea current inversion methods using multi-baseline P-band polarimetric interferometric synthetic aperture radar (PolInSAR) data to select best baseline inversion. However, approach selecting optimal results process being unable fully utilize abundant observation data. In this paper, solve problem, we propose a method combining analytic...
Occurrence of polycyclic aromatic hydrocarbons (PAHs) during the coking process has been widely recognized. The formation polychlorinated naphthalenes (PCNs) from PAHs some thermal related processes confirmed in many studies. Thus, is assumed to be a potential source PCNs. However, intensive investigations on PCN emissions are lacking. In order evaluate process, an study comprising 11 typical coke plants was undertaken. PCNs were qualified and quantified by isotope dilution HRGC/HRMS...