A5086767072- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Remote Sensing in Agriculture
- Soil Carbon and Nitrogen Dynamics
- Microbial Community Ecology and Physiology
- Spectroscopy and Chemometric Analyses
- Chinese history and philosophy
- Neurosurgical Procedures and Complications
- Remote Sensing and Land Use
- Intracerebral and Subarachnoid Hemorrhage Research
- Magnetic and transport properties of perovskites and related materials
- Multiferroics and related materials
- Soil Moisture and Remote Sensing
- Advanced Neural Network Applications
- Gut microbiota and health
- Mineral Processing and Grinding
- Adaptive Control of Nonlinear Systems
- Intracranial Aneurysms: Treatment and Complications
- Cancer Mechanisms and Therapy
- Advanced Condensed Matter Physics
- Cerebrospinal fluid and hydrocephalus
- Soil and Land Suitability Analysis
- Polar Research and Ecology
- Environmental DNA in Biodiversity Studies
- Industrial Vision Systems and Defect Detection
Institute of Soil Science
2016-2025
Chinese Academy of Sciences
2016-2025
University of Chinese Academy of Sciences
2012-2024
Nanchang Hangkong University
2012-2023
Jiangsu University of Science and Technology
2022
First Hospital of Jilin University
2013-2018
Jilin University
2013-2017
University of Hong Kong
2013
Xi'an University of Technology
2007-2011
Nanchang University
2010
Although many Soil Spectral Libraries (SSLs) have been created globally, these libraries still not operationalized for end-users. To address this limitation, study an online Brazilian Service (BraSpecS). The system was based on the Library (BSSL) with samples collected in Visible–Near–Short-wave infrared (vis–NIR–SWIR) and Mid-infrared (MIR) ranges. interactive platform allows users to find spectra, act as custodians of data, estimate several soil properties classification. tested by 500 65...
Remote sensing is an efficient technology for mapping soil organic matter (SOM) of croplands during potential bare periods. However, since the effects agricultural practices on image spectra are different within a region with interleaved drylands and paddy fields in terms degree timing, common multi-temporal synthesis method joint modeling pose challenges accurate SOM prediction. Therefore, this study introduced two improvements: (1) separate fields, (2) new method, termed optimal method....
Estimation of soil organic matter content (SOMC) is essential for quality evaluation. Compared with traditional multispectral remote sensing SOMC mapping, the distribution in a certain area can be obtained quickly by using hyperspectral data. The Advanced Hyper-Spectral Imager (AHSI) onboard ZY1-02D satellite simultaneously obtain spectral information 166 bands from visible (400 nm) to shortwave infrared (2500 nm), providing an important data source mapping. In this study, SOMC-related...
Abstract Previous studies for retrieving soil moisture content (SMC) from visible and near‐infrared hyperspectral data over vegetation‐covered surfaces using spectral unmixing, non‐negative matrix factorization, albedo/vegetation coverage in trapezoid spaces have required mass preprocessing offered only limited improvements prediction accuracy. Recently, deep learning has triggered some properties because of its automatic feature extraction high In this study, a simulation experiment with...
Remote sensing of land surface mostly obtains a mixture spectral information soil and vegetation. It is thus great value if vegetation can be acquired simultaneously from one model. In this study, we designed laboratory experiment to simulate compositions, including various types with varying moisture coverage. A model one-dimensional convolutional neural network (1DCNN) was established estimate properties (organic matter, moisture, clay, sand) coverage based on the hyperspectral data...
Remote sensing has been widely applied to map soil salinity in the last few decades. However, a notable decrease accuracy of salt content (SSC) predictions occurred when surfaces were partially vegetated. To minimize influence partial vegetation cover on spectral reflectance, we separation method, non-negative matrix factorization (NMF), extract information from controlled field experiment with three varying factors [vegetation coverage, moisture (SMC), and SSC]. The method was without prior...
Robust models for predicting soil salinity that use visible and near-infrared (vis–NIR) reflectance spectroscopy are needed to better quantify in agricultural fields. Currently available not sufficiently robust variable moisture contents. Thus, we used external parameter orthogonalization (EPO), which effectively projects spectra onto the subspace orthogonal unwanted variation, remove variations caused by an factor, e.g., influences of on spectral reflectance. In this study, 570 between 380...
Core Ideas Vis‐NIR hyperspectral imaging can be used to predict the soil salt content (SSC) in profiles. The least squares support vector machine (LS‐SVM) model predicted SSC more accurately than partial regression (PLSR) field. Hyperspectral is an efficient and nondestructive method for mapping characterizing distribution Recently, visible near‐infrared (Vis‐NIR) has shown great potential fine of properties laboratory. Whether it could profile under field conditions still remained...
Abstract Visible and near‐infrared (VisNIR) spectroscopy portable X‐ray fluorescence (PXRF) spectrometry are successful in estimating soil attributes. However, it is still necessary to investigate their performance fertility properties. In this study, for the properties of organic C (SOC), available N, total P, K, using VisNIR PXRF individually combined, three data fusion methods (concatenation, model averaging), two modeling was evaluated. The results showed that combining did not...
It is critical to identify the assembly processes and determinants of soil microbial communities better predict responses environmental change in arid semiarid areas. Here, soils from 16 grassland-only, 9 paired grassland farmland, farmland-only sites were collected across central Inner Mongolia Plateau, covering a steep gradient. Through analyzing samples, we discovered that land uses had strong effects on but weak their processes. For all although no variables significantly correlated with...
Policy-based network management is a new solution set that enables business-critical applications to perform at specific levels for users. It implements of rules and policies further an organization's business objectives by dictating how users, applications, organizations can access use resources. At first, this paper describes variety difficulties today's managers. Then the policy model kind server architecture are presented. The benefits drawbacks paradigm also mentioned. Some related...
Core Ideas The spectra of unground samples can be used to predict soil organic C (SOC) and clay. Vis‐NIR spectroscopy models for ground SOC clay samples. Using will save time labor when estimating Visible near‐infrared (Vis‐NIR) accurately from the air‐dried (DG) However, grinding generally requires a lot labor. In this study, (DU) were exploit accuracy advantages Vis‐NIR. reflectance 117 using DG DU pretreatments was measured in laboratory. Five spectral used: no‐pretreatment (NP),...