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Effects of Multi-Scale Heterogeneity
It is generally agreed that problems with multi-scale heterogeneity present the biggest challenge to computation and understanding. A few such...
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Integrating multi-source datasets in exploring the covariation of gross primary productivity (GPP) and solar-induced chlorophyll fluorescence (SIF) at an Indian tropical forest flux site
Accurate measurement and monitoring of ecosystem productivity play a pivotal role in comprehending the intricate dynamics of the Earth system,...
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Assessing the quality of chlorophyll-a concentration products under multiple spatial and temporal scales
The chlorophyll-a concentration data obtained through remote sensing are important for a wide range of scientific concerns. However, cloud cover and...
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Suppression of seismic random noise by deep learning combined with stationary wavelet packet transform
Many traditional denoising methods, such as Gaussian filtering, tend to blur and lose details or edge information while reducing noise. The...
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Multi-scale Analysis of Supply–Demand Relationship of Ecosystem Services and Zoning Management in a Key Ecological-Restoration City (Ganzhou) of China
With the rapid development of economy and society, decision-makers need a deep understanding of the role of sustainable ecosystem management in...
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Automatic Identification of Thaw Slumps Based on Neural Network Methods and Thaw Slum** Susceptibility
Thaw slum** is a periglacial process that occurs on slopes in cold environments, where the ground becomes unstable and the surface slides downhill...
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Can climate change signals be detected from the terrestrial water storage at daily timescale?
The global terrestrial water storage (TWS), the most accessible component in the hydrological cycle, is a general indicator of freshwater...
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Image-Based Pore Structure Characterization and Pore-Scale Fluid Flow Simulation of Fine-Grained Sandstones
The pore structure features are believed to determine the storage and seepage capacity of the reservoirs at various scales. Exploring fluid flow in...
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Iron Ore Price Forecast based on a Multi-Echelon Tandem Learning Model
Iron ore has had a highly global market since setting a new pricing mechanism in 2008. With current dollar values, iron ore concentrate for sale...
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How to Choose the Most Proper Representative Climate Model Over a Study Region? a Case Study of Precipitation Simulations in Ireland with NEX-GDDP-CMIP6 Data
With the aim of providing a multi-criteria decision-support system to capture the spatio-temporal climatological patterns derived from climate models...
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A novel landslide identification method for multi-scale and complex background region based on multi-model fusion: YOLO + U-Net
Comprehensive identification of geological hazard risks remains one of the most important tasks in disaster prevention and mitigation. Currently,...
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Investigating the tourism image of mountain scenic spots in China through the lens of tourist perception
A favorable tourism image of high-quality mountain scenic spots (HQMSS) is crucial for tourism prosperity and sustainability. This paper establishes...
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Applicability evaluation and error analysis of TMPA and IMERG in Inner Mongolia Autonomous Region, China
Precipitation data accuracy is a critical element of global meteorological observations. The applicability of the Tropical Rainfall Measuring Mission...
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UGC-YOLO: Underwater Environment Object Detection Based on YOLO with a Global Context Block
With the continuous development and utilization of marine resources, the underwater target detection has gradually become a popular research topic in...
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Review on spatial downscaling of satellite derived precipitation estimates
The present work aims at reviewing and identifying gaps in knowledge and future perspectives of satellite-derived precipitation downscaling...
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Constraint on regional land surface air temperature projections in CMIP6 multi-model ensemble
The reliability of the near-land-surface air temperature (LSAT) projections from the state-of-the-art climate-system models that participated in the...
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MS-YOLO: integration-based multi-subnets neural network for object detection in aerial images
Aerial images is one of the most important application areas for object detection. Object detection in aerial images can be widely applied in various...
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Multi-Step-Ahead Rainfall-Runoff Modeling: Decision Tree-Based Clustering for Hybrid Wavelet Neural- Networks Modeling
This paper introduces a novel hybrid approach for predicting the rainfall-runoff (r-r) phenomenon across different data division scenarios (50%-50%,...
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MmgFra: A multiscale multigraph learning framework for traffic prediction in smart cities
Traffic prediction is an important part of smart city projects. Due to the complex topology of urban road network and the dynamic change of traffic...
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Strip segmentation of oceanic internal waves in SAR images based on TransUNet
The development of oceanic remote sensing artificial intelligence has made possible to obtain valuable information from amounts of massive data....