Spatio-temporal data mining for climate data: Advances, challenges, and opportunities
JH Faghmous, V Kumar - Data mining and knowledge discovery for big …, 2014 - Springer
Our planet is experiencing simultaneous changes in global population, urbanization, and
climate. These changes, along with the rapid growth of climate data and increasing …
climate. These changes, along with the rapid growth of climate data and increasing …
Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection
Oceanic eddies are ubiquitous in global oceans and play a major role in ocean energy
transfer and nutrients distribution, thus being significant for understanding ocean current …
transfer and nutrients distribution, thus being significant for understanding ocean current …
Data mining algorithms for land cover change detection: a review
S Panigrahi, K Verma, P Tripathi - Sādhanā, 2017 - Springer
Land cover change detection has been a topic of active research in the remote sensing
community. Due to enormous amount of data available from satellites, it has attracted the …
community. Due to enormous amount of data available from satellites, it has attracted the …
DeepEddy: A simple deep architecture for mesoscale oceanic eddy detection in SAR images
D Huang, Y Du, Q He, W Song… - 2017 IEEE 14th …, 2017 - ieeexplore.ieee.org
Automatic detection of mesoscale oceanic eddies is in great demand to monitor their
dynamics which play a significant role in ocean current circulation and marine climate …
dynamics which play a significant role in ocean current circulation and marine climate …
[HTML][HTML] Detecting vegetation change in response to confining elephants in forests using MODIS time-series and BFAST
J Morrison, TP Higginbottom, E Symeonakis, MJ Jones… - Remote Sensing, 2018 - mdpi.com
Afromontane forests are biodiversity hotspots and provide essential ecosystem services.
However, they are under pressure as a result of an expanding human population and the …
However, they are under pressure as a result of an expanding human population and the …
Review of MODIS EVI and NDVI data for data mining applications
S Panigrahi, K Verma, P Tripathi - Data Deduplication Approaches, 2021 - Elsevier
Land cover change detection has been a subject of dynamic inquiry among the remote
sensing group. On account of the tremendous data accessible from satellites, it has been …
sensing group. On account of the tremendous data accessible from satellites, it has been …
A novel and scalable spatio-temporal technique for ocean eddy monitoring
J Faghmous, Y Chamber, S Boriah, F Vikebø… - Proceedings of the …, 2012 - ojs.aaai.org
Swirls of ocean currents known as ocean eddies are a crucial component of the ocean's
dynamics. In addition to dominating the ocean's kinetic energy, eddies play a significant role …
dynamics. In addition to dominating the ocean's kinetic energy, eddies play a significant role …
Land cover change detection using focused time delay neural network
S Panigrahi, K Verma, P Tripathi - Soft Computing, 2019 - Springer
The development of improved satellite technology generates a huge amount of remote
sensing data, these data play the crucial role in natural resource management. The land use …
sensing data, these data play the crucial role in natural resource management. The land use …
Clustering of Time Series for Land Change Detection: A Data Mining Approach
S Panigrahi - … on Machine Learning, Computer Systems and …, 2022 - ieeexplore.ieee.org
A significant field of study in the recent age is the detection of changes in land cover and
land use (LCLU), because any conversion of land cover its impacts on the local or the global …
land use (LCLU), because any conversion of land cover its impacts on the local or the global …
Earth science applications of sensor data
Advances in earth observation technologies have led to the acquisition of vast volumes of
accurate, timely and reliable environmental data which encompass a multitude of …
accurate, timely and reliable environmental data which encompass a multitude of …