Cloud enabled SDI architecture: a review
With the advancement of GIS technology since its inception in 1960's, many educational
institutions, government departments, public/private sectors and individuals have started its …
institutions, government departments, public/private sectors and individuals have started its …
Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over US …
Soil moisture is an essential parameter to understand crop conditions throughout the
growing season. Collecting soil moisture data by field observation is labor-intensive …
growing season. Collecting soil moisture data by field observation is labor-intensive …
Improvement and validation of NASA/MODIS NRT global flood mapping
The remote-sensing based Flood Crop Loss Assessment Service System (RF-CLASS) is a
web service based system developed and managed by the Center for Spatial Information …
web service based system developed and managed by the Center for Spatial Information …
AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine
Abstract Google Earth Engine (GEE) is an ideal platform for large-scale geospatial
agricultural and environmental modeling based on its diverse geospatial datasets, easy-to …
agricultural and environmental modeling based on its diverse geospatial datasets, easy-to …
[HTML][HTML] A spatial correlation prediction model of urban PM2. 5 concentration based on deconvolution and LSTM
Precise prediction of air pollutants can effectively reducre the occurrence of heavy pollution
incidents. With the current surge of massive data, deep learning appears to be a promising …
incidents. With the current surge of massive data, deep learning appears to be a promising …
An interoperable and service-oriented approach for real-time environmental simulation by coupling OGC WPS and SensorThings API
Real-time simulation is crucial in time-critical situations within the environmental modeling
domain. The advancement of web technologies has facilitated the sharing and integration of …
domain. The advancement of web technologies has facilitated the sharing and integration of …
WS4GEE: Enhancing geospatial web services and geoprocessing workflows by integrating the Google Earth Engine
Geospatial web services (GWSs) assist scientists developing models online. Cloud
computing technologies have created opportunities for faster and more efficient …
computing technologies have created opportunities for faster and more efficient …
Evolutionary PSO-based emergency monitoring geospatial edge service chain in the emergency communication network
S He, X Tan, Y Zhong, M Huang, Z Mei… - … Journal of Digital …, 2023 - Taylor & Francis
Emergency communication networks play a vital role in disaster monitoring, transmission,
and application during disaster emergency response (DER), however, the performance and …
and application during disaster emergency response (DER), however, the performance and …
Geoweaver: Advanced cyberinfrastructure for managing hybrid geoscientific AI workflows
AI (artificial intelligence)-based analysis of geospatial data has gained a lot of attention.
Geospatial datasets are multi-dimensional; have spatiotemporal context; exist in disparate …
Geospatial datasets are multi-dimensional; have spatiotemporal context; exist in disparate …
An Improved Attention-Based Integrated Deep Neural Network for PM2.5 Concentration Prediction
P Shi, X Fang, J Ni, J Zhu - Applied Sciences, 2021 - mdpi.com
The air quality prediction is a very important and challenging task, especially PM 2.5
(particles with diameter less than 2.5 μm) concentration prediction. To improve the accuracy …
(particles with diameter less than 2.5 μm) concentration prediction. To improve the accuracy …