Haiyong Ding
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View article: Impacts of Spatio-temporal land use land cover changes on the Development of Urban Heat Islands in a Diverse Topographic Region of District Nowshera, Pakistan
Impacts of Spatio-temporal land use land cover changes on the Development of Urban Heat Islands in a Diverse Topographic Region of District Nowshera, Pakistan Open
This study analyses the impact of Land Use Land Cover (LULC) dynamics on the development of Urban Heat Islands (UHI) in a diverse topographic region of Nowshera district, Pakistan. The rapid increase in the study region is causing a rise i…
View article: A Study of Global Hourly Sea Surface Temperature Fusion Based on the Triple-Collocation Fusion Algorithm
A Study of Global Hourly Sea Surface Temperature Fusion Based on the Triple-Collocation Fusion Algorithm Open
Sea surface temperature (SST) is vital for climate monitoring and extreme weather forecasting. Existing global SST datasets are typically provided at daily to seasonal resolutions, while hourly data remain limited to regional scales. Polar…
View article: OSSMDNet: An Omni-Selective Scanning Mechanism for a Remote Sensing Image Denoising Network Based on the State-Space Model
OSSMDNet: An Omni-Selective Scanning Mechanism for a Remote Sensing Image Denoising Network Based on the State-Space Model Open
Remote sensing images often degrade during acquisition due to various environmental factors, leading to noise contamination and loss of texture details. Existing methods based on convolutional neural networks (CNNs) are limited by their lo…
View article: DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery
DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery Open
Change detection (CD) in remote sensing (RS) is a fundamental task that seeks to identify changes in land cover by analyzing bitemporal images. In recent years, deep learning (DL)-based approaches have demonstrated remarkable success in a …
View article: Research on Weighted Fusion Method for Multi-Source Sea Surface Temperature Based on Cloud Conditions
Research on Weighted Fusion Method for Multi-Source Sea Surface Temperature Based on Cloud Conditions Open
The sea surface temperature (SST) is an important parameter reflecting the energy exchange between the ocean and the atmosphere, which has a key impact on climate change, marine ecology and fisheries. However, most of the existing SST fusi…
View article: Nonlinear Responses of Vegetation Phenology to Climate Change and Urbanization: A Case Study in Beijing, China
Nonlinear Responses of Vegetation Phenology to Climate Change and Urbanization: A Case Study in Beijing, China Open
Vegetation serves as an indicator of ecological change, and phenology is an important indicator for evaluating vegetation growth and development. Analyzing the spatiotemporal characteristics of vegetation phenology and its driving factors …
View article: Double-Factor Tensor Cascaded-Rank Decomposition for Hyperspectral Image Denoising
Double-Factor Tensor Cascaded-Rank Decomposition for Hyperspectral Image Denoising Open
Hyperspectral image (HSIs) denoising is a preprocessing step that plays a crucial role in many applications used in Earth observation missions. Low-rank tensor representation can be utilized to restore mixed-noise HSIs, such as those affec…
View article: Optimizing Back-Propagation Neural Network to Retrieve Sea Surface Temperature Based on Improved Sparrow Search Algorithm
Optimizing Back-Propagation Neural Network to Retrieve Sea Surface Temperature Based on Improved Sparrow Search Algorithm Open
Sea surface temperature (SST) constitutes a pivotal physical parameter in the investigation of atmospheric, oceanic, and air–sea exchange processes. The retrieval of SST through satellite passive microwave (PMW) technology effectively miti…
View article: Classification and Transition of Grassland in Qinghai, China, from 1986 to 2020 with Landsat Archives on Google Earth Engine
Classification and Transition of Grassland in Qinghai, China, from 1986 to 2020 with Landsat Archives on Google Earth Engine Open
The lack of long-duration, high-frequency grassland classification products limits further understanding of the grasslands’ long-term succession. This study first explored the annual mapping of grassland with fourteen categories at 30 m in…
View article: A Monthly High-Resolution Net Primary Productivity Dataset (30 m) of Qinghai Plateau From 1987 to 2021
A Monthly High-Resolution Net Primary Productivity Dataset (30 m) of Qinghai Plateau From 1987 to 2021 Open
Net primary productivity (NPP), as an indicator of ecological functioning, plays an important role in regional and global carbon cycles. Although many studies have estimated the NPP of vegetation on the Qinghai Plateau (QP), the existing N…
View article: RACDNet: Resolution- and Alignment-Aware Change Detection Network for Optical Remote Sensing Imagery
RACDNet: Resolution- and Alignment-Aware Change Detection Network for Optical Remote Sensing Imagery Open
Change detection (CD) methods work on the basis of co-registered multi-temporal images with equivalent resolutions. Due to the limitation of sensor imaging conditions and revisit period, it is difficult to acquire the desired images, espec…
View article: Object-Oriented Change Detection Method Based on Spectral–Spatial–Saliency Change Information and Fuzzy Integral Decision Fusion for HR Remote Sensing Images
Object-Oriented Change Detection Method Based on Spectral–Spatial–Saliency Change Information and Fuzzy Integral Decision Fusion for HR Remote Sensing Images Open
Spectral features in remote sensing images are extensively utilized to detect land cover changes. However, detection noise appearing in the changing maps due to the abundant spatial details in the high-resolution images makes it difficult …
View article: Vegetation Phenology Influenced by Rapid Urbanization of The Yangtze Delta Region
Vegetation Phenology Influenced by Rapid Urbanization of The Yangtze Delta Region Open
Impacts of urbanization and climate change on ecosystems are widely studied, but these drivers of change are often difficult to isolate from each other and interactions are complicated. Ecosystem responses to each of these drivers are perh…
View article: Instructional and learning outcomes in China and the USA as policy implications
Instructional and learning outcomes in China and the USA as policy implications Open
There are substantial differences between the Chinese and US education systems. One difference is in the design and use of assessment due to differences in educational policies. This study described the differences in student learning outc…
View article: A Novel Hybrid Pan-Sharpen Method Using IHS Transform and Optimization
A Novel Hybrid Pan-Sharpen Method Using IHS Transform and Optimization Open
Intensity-hue-saturation (IHS) transform is the most commonly used method for image fusion purpose. Usually, the intensity image is replaced by Panchromatic (PAN) image, or the difference between PAN and intensity image is added to each ba…