Results 91 to 100 of about 331 (142)
A Geospatial Approach to Measuring Economic Activity [PDF]
We introduce a new methodology to detect and measure economic activity using geospatial data and apply it to steel production, a major industrial pollution source worldwide. Combining plant output data with geospatial data, such as ambient air pollutants,
Ai, Jianwei +2 more
core +1 more source
Estimation of nighttime aerosol optical depths using the ground-based microwave radiometer [PDF]
Aerosol optical depth (AOD) is a crucial parameter for understanding the impact of aerosols on Earth's atmosphere and air quality. Nevertheless, most existing remote sensing techniques rely on the shortwave spectrum, precluding nighttime measurements ...
C. Zhang +4 more
core +1 more source
Accurate extraction of built-up areas is helpful to urban development and map updating. Nighttime light (NTL) data can capture the lighting signal of ground objects.
Lei Wang +7 more
doaj +1 more source
Incorporation of Histogram Intersection and Semantic Information into Non-Negative Local Laplacian Sparse Coding for Image Classification [PDF]
Traditional sparse coding has proven to be an effective method for image feature representation in recent years, yielding promising results in image classification.
Li, H, Shi, Y, Wan, Y, Wang, X
core +1 more source
Submesoscale ocean eddies are essential oceanic phenomenon that control and influence the ocean energy cascade. Most existing eddy detection methods rely on low-resolution satellite altimeter data, which fail to capture submesoscale ocean features and ...
Linghui Xia +3 more
doaj +1 more source
Extraction of Raft Aquaculture in SDGSAT-1 Images via Shape Prior Segmentation Network
Reliable extraction of raft aquaculture areas from high-resolution remote sensing data is vital for the sustainable development of coastal zones. Despite the success of semantic segmentation, challenges remain due to adhesion effects, weak and seasonal spectral signals against complex dynamic backgrounds, and limited labeled training data for robust ...
Lin Zhu +4 more
openaire +2 more sources
A continual-learning-based multilayer perceptron for improved reconstruction of three-dimensional nitrate concentrations [PDF]
Nitrate plays a crucial role in marine ecosystems, as it influences primary productivity. Despite its ecological significance, accurately mapping its three-dimensional (3D) concentration on a large scale remains a considerable challenge due to the ...
A. M. Seka +12 more
core +1 more source
Foundation models and intelligent decision-making: Progress, challenges, and perspectives [PDF]
Intelligent Decision-Making (IDM) is a cornerstone of artificial intelligence (AI), designed to automate or augment decision processes. Modern IDM paradigms integrate advanced frameworks to enable intelligent agents to make effective and adaptive choices
An, Bo +70 more
core +1 more source
Inland waters consist of multiple concentrations of constituents, and solving the interference problem of chlorophyll-a and colored dissolved organic matter (CDOM) can help to accurately invert total suspended matter concentration (Ctsm).
Xueke Hu +6 more
doaj +1 more source
Target area based methods for analytical satellite orbit design and tasking [PDF]
Space has become increasingly congested, commercialised, and inter-connected over the past few decades. The “New Space” era and the use of federated space systems are intended to make space more affordable and accessible to more users.
Tole, Adah Majala
core +2 more sources

