Geographical information system parallelization for spatial big data processing: a review

L Zhao, L Chen, R Ranjan, KKR Choo, J He - Cluster Computing, 2016 - Springer
With the increasing interest in large-scale, high-resolution and real-time geographic
information system (GIS) applications and spatial big data processing, traditional GIS is not …

More bark than bytes? Reflections on 21+ years of geocomputation

R Harris, D O'Sullivan, M Gahegan… - … and Planning B …, 2017 - journals.sagepub.com
This year marks the 21st anniversary of the International GeoComputation Conference
Series. To celebrate the occasion, Environment and Planning B invited some members of …

Our GIS is too small

M Gahegan - The Canadian Geographer/Le Géographe …, 2018 - Wiley Online Library
GIScience and GISystems have been successful in tackling many geographical problems
over the last 30 years. But technologies and associated theory can become limiting if they …

PMODTRAN: a parallel implementation based on MODTRAN for massive remote sensing data processing

F Huang, J Zhou, J Tao, X Tan, S Liang… - International journal of …, 2016 - Taylor & Francis
MODerate resolution atmospheric TRANsmission (MODTRAN) is a commercial remote
sensing (RS) software package that has been widely used to simulate radiative transfer of …

Spark-based adaptive Mapreduce data processing method for remote sensing imagery

X Tan, L Di, Y Zhong, Y Yao, Z Sun… - International Journal of …, 2021 - Taylor & Francis
Existing Hadoop-based remote sensing data processing approaches are insufficient for
efficiently meeting the requirements of applications, especially when large remote sensing …

High–performance computing in GIS: Techniques and applications

N Stojanovic, D Stojanovic - International Journal of …, 2013 - inderscienceonline.com
In this paper, the application of High–Performance Computing (HPC) techniques in
processing of geospatial data in Geographic Information System (GIS) is presented. We …

An Integrated (Crop Model, Cloud and Big Data Analytic) Framework to support Agriculture Activity Monitoring System

S Akhter, K Honda, K Aida, AVM Ines - arXiv preprint arXiv:2411.12303, 2024 - arxiv.org
Agriculture activity monitoring needs to deal with large amounts of data originating from
various organizations (weather stations, agriculture repositories, field management, farm …

Machine Learning Approaches on Crop Pattern Recognition a Comparative Analysis

KH Kabir, MZ Aqib, S Sultana, S Akhter - arXiv preprint arXiv:2411.12667, 2024 - arxiv.org
Monitoring agricultural activities is important to ensure food security. Remote sensing plays
a significant role for large-scale continuous monitoring of cultivation activities. Time series …

A GRASS GIS parallel module for radio-propagation predictions

L Benedičič, FA Cruz, T Hamada… - International Journal of …, 2014 - Taylor & Francis
Geographical information systems are ideal candidates for the application of parallel
programming techniques, mainly because they usually handle large data sets. To help us …

An mpi-based framework for proessing spatial vector data on heterogeneous distributed systems

K Araki, T Shimbo - 2016 Fourth International Symposium on …, 2016 - ieeexplore.ieee.org
Geographic information system (GIS) is utilized in geomorphic analysis, hazard mapping,
evacuation route planning and so on. Some GISs employ heterogeneous distributed …