A5037356762- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Environmental Changes in China
- Land Use and Ecosystem Services
- Water Quality Monitoring and Analysis
- Environmental and Agricultural Sciences
- Leaf Properties and Growth Measurement
- Advanced Image Fusion Techniques
- Marine and coastal ecosystems
- Geochemistry and Geologic Mapping
- Plant Water Relations and Carbon Dynamics
- Spectroscopy and Chemometric Analyses
- Oil Spill Detection and Mitigation
- Infrared Target Detection Methodologies
- Advanced Measurement and Detection Methods
- Soil Moisture and Remote Sensing
- Species Distribution and Climate Change
- Soil Geostatistics and Mapping
- Satellite Image Processing and Photogrammetry
- Atmospheric chemistry and aerosols
- Climate change and permafrost
- Atmospheric aerosols and clouds
- Atmospheric Ozone and Climate
North China Electric Power University
2025
Nanjing University
2015-2024
Ministry of Natural Resources
2023-2024
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2017-2020
Ningxia University
2017
Chinese Academy of Sciences
1999-2008
State Key Laboratory of Remote Sensing Science
1997-2007
Academia Sinica
1997
Abstract An overview of Sun–Sky Radiometer Observation Network (SONET) measurements in China is presented. Based on observations at 16 distributed SONET sites China, atmospheric aerosol parameters are acquired via standardization processes operational measurement, maintenance, calibration, inversion, and quality control implemented since 2010. A climatology study performed focusing total columnar characteristics, including optical (aerosol depth, ÅngstrÖm exponent, fine-mode fraction,...
Conventional methods for investigating heavy metal contamination in soil are time consuming and expensive. In this study, we (i) explored reflectance spectroscopy as an alternative method assessing metals, (ii) further the physicochemical mechanism that allows estimation of metals with method. We first investigated spectral response changing concentrations soils. The results indicated only at very high concentration can transition elements exhibit their inherent absorption features. spite...
Timely and accurate estimates of crop parameters are crucial for agriculture management. Unmanned aerial vehicles (UAVs) carrying sophisticated cameras very pertinent this work because they can obtain remote-sensing images with higher temporal, spatial, ground resolution than satellites. In study, we evaluated (i) the performance using a near-surface spectroscopy (350~2500 nm, 3 nm at 700 8.5 1400 6.5 2100 nm), UAV-mounted snapshot hyperspectral sensor (450~950 8 532 nm) high-definition...
Black carbon (BC), brown (BrC), and mineral dust (DU) are three major light absorbing aerosols, playing important roles in climate change. Better knowledge of their concentrations is necessary for more accurate estimates radiative forcing effects climate. We present a method to retrieve columnar contents BC, BrC, DU simultaneously from spectral refractive indices single scattering albedo obtained the sun‐sky radiometer measurements. Then, this applied investigate volume fractions mass...
The classification of tree species through remote sensing data is great significance to monitoring forest disturbances, biodiversity assessment, and carbon estimation. dense time series a wide swath Sentinel-2 provided the opportunity map accurately in timely manner over large area. Many current studies have applied machine learning (ML) algorithms combined with images classify species, but it still unclear, which algorithm more effective automotive extraction species. In this study, five ML...
The combination of multi-temporal images and deep learning is an efficient way to obtain accurate crop distributions so has drawn increasing attention. However, few studies have compared models with different architectures, it remains unclear how a model should be selected for classification, the best possible accuracy is. To address this issue, present work compares analyzes classification application based on time-series data exploit possibility improving accuracy. Using Multi-temporal...
Conventional methods for investigating soil Hg contamination based on raster sampling and chemical analysis are time-consuming relatively expensive. The objective of this study was to develop a rapid method concentration in suburban agricultural soils the Nanjing region using reflectance spectra within visible-near-infrared (VNIR) region. Several spectral pretreatments (absorbance, Kubelka−Munk transformations their derivatives) were applied optimize accuracy prediction. prediction achieved...
Abstract Determining oil slick thickness plays an important role in assessing spill volume and its environmental impacts on the ocean. In this study, we used a Hyperion image of accident area seawater fresh crude samples collected Bohai Sea China. A well-controlled laboratory experiment was designed to simulate spectral responses different thicknesses. Spectral resampling normalization methods were reduce differences reflectances between experimental background sample real seawater. Fitting...
The extraction of information about individual trees is essential to supporting the growing fruit in orchard management. Data acquired from spectral sensors mounted on unmanned aerial vehicles (UAVs) have very high spatial and temporal resolution. However, an efficient reliable method for extracting with irregular tree-crown shapes a complicated background lacking. In this study, we developed tested performance approach, based UAV imagery, that includes apple (Plot 1) pear 2). workflow...
Transformer is a powerful tool for capturing long-range dependencies and has shown impressive performance in hyperspectral image (HSI) classification. However, such power comes with heavy memory footprint huge computation burden. In this paper, we propose two types of lightweight self-attention modules (a channel multi-head module position module) to reduce both while associating each pixel or global information. Moreover, discover that transformers are ineffective explicitly extracting...
Wheat leaves were measured radiometrically in order to spectrally characterize the water deficiency symptoms. In this study, a FieldSpec-FR was used for measuring wheat leaf spectra. After spectral analysis using normalizing technique, absorption feature parameters: wavelength position (nm), depth and area (relative value) extracted from each spectrum. The relative content (RWC) sample. A linear regression conducted between parameters corresponding RWCs. experimental results 110 samples...
Different oil spill pollution types could be produced in transport and weathering processes. Investigation of these is beneficial for recovery processing. Optical remote sensing techniques play an important role marine monitoring have the ability to identify different types. Recently, research on optical has made much progress detecting targets, identifying spectral response characteristics, formulating theories. Floating black oil, slicks, oil-water mixture accidents are main targets...
Abstract. Climate change in drylands has caused alterations the seasonal distribution of rainfall including increased heavy-rainfall events, longer dry spells, and a shifted timing wet season. Yet aboveground net primary productivity (ANPP) is usually explained by annual-rainfall sums, disregarding influence rainfall. This study tested importance metrics season (onset cessation season, number rainy days, intensity, consecutive events) for growing ANPP. We focused on Sahel northern Sudanian...
Shadows exist universally in sunlight-source remotely sensed images, and can interfere with the spectral morphological features of green vegetations, resulting imprecise mathematical algorithms for vegetation monitoring physiological diagnoses; therefore, research on shadows from forest canopy internal composition is very important. Red edge an ideal indicator vegetation’s photosynthesis biomass because its strong connection physicochemical parameters. In this study, red parameters (curve...