Spatiotemporal analysis methods such as MK-TS, time-series hot spot analysis, and time-series clustering provide more meaningful and informative results.
The spatiotemporal statistical approach applied to remotely time-series data can be used to solve complex questions: quantifying the trend, pattern, and rate of vegetation dynamics; examining the spatial relationship between vegetation and environmental changes; predicting changes associated with environmental and climate change
Modern geospatial technologies (time-series big data, advanced spatial statistical analytics) will provide better management options for a sustainable future land use.
History
Publication date
2024-04-08
Project number
Non revenue
Language
English
Does this contain Māori information or data?
No
Publisher
AgResearch Ltd
Conference name
International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)