On the performance of remote sensing time series reconstruction methods–A spatial comparison
Abstract The satellite observed Normalized Difference Vegetation Index (NDVI) time series,
which describe the temporal and spatial variability of global terrestrial vegetation, are …
which describe the temporal and spatial variability of global terrestrial vegetation, are …
[PDF][PDF] Sensor Data Preprocessing, Feature Engineering and Equipment Remaining Lifetime Forecasting for Predictive Maintenance.
E Latyshev - DAMDID/RCDL, 2018 - ceur-ws.org
Analytics based on sensor data is gradually becoming an industry standard in equipment
maintenance. However, it involves several challenges, such as sensor data preprocessing …
maintenance. However, it involves several challenges, such as sensor data preprocessing …
[PDF][PDF] Incorporating natural variation into time series-based land cover change identification
The ability to monitor forest related change events like forest fires, deforestation for
agriculture intensification, and logging is critical for effective forest management. Time series …
agriculture intensification, and logging is critical for effective forest management. Time series …
Time-Series analysis of MODIS NDVI data along with ancillary data for Land use/Land cover mapping of Uttarakhand
SK Patakamuri, S Agrawal… - … Archives of the …, 2014 - isprs-archives.copernicus.org
Land use and land cover plays an important role in biogeochemical cycles, global climate
and seasonal changes. Mapping land use and land cover at various spatial and temporal …
and seasonal changes. Mapping land use and land cover at various spatial and temporal …
CA-Smooth: content adaptive smoothing of time series leveraging locally salient temporal features
Imprecision and noise in the time series data may result in series with similar overall
behaviors being recognized as being dissimilar because of the accumulation of many small …
behaviors being recognized as being dissimilar because of the accumulation of many small …
Unsupervised methods to discover events from spatio-temporal data
X Chen - 2017 - search.proquest.com
Unsupervised event detection in spatio-temporal data aims to autonomously identify when
and/or where events occurred with little or no human supervision. It is an active field of …
and/or where events occurred with little or no human supervision. It is an active field of …
Approximate Search on Massive Spatiotemporal Datasets
Efficient time series similarity search is a fundamental operation for data exploration and
analysis. While previous work has focused on indexing progressively larger datasets and …
analysis. While previous work has focused on indexing progressively larger datasets and …