SCaMF–RM: A Fused High-Resolution Land Cover Product of the Rocky Mountains
| Autor: | John E. McCray, Amanda S. Hering, Nicolás Rodríguez-Jeangros, Timothy Kaiser |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
big data land cover product parallel computing spatiotemporal categorical data Computer science Science 0211 other engineering and technologies High resolution 02 engineering and technology Land cover 01 natural sciences Categorical variable 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Flexibility (engineering) Land use 15. Life on land 13. Climate action Product (mathematics) General Earth and Planetary Sciences Satellite Relevant information |
| Zdroj: | Remote Sensing, Vol 9, Iss 10, p 1015 (2017) Remote Sensing; Volume 9; Issue 10; Pages: 1015 |
| ISSN: | 2072-4292 |
| Popis: | Land cover (LC) products, derived primarily from satellite spectral imagery, are essential inputs for environmental studies because LC is a critical driver of processes involved in hydrology, ecology, and climatology, among others. However, existing LC products each have different temporal and spatial resolutions and different LC classes that rarely provide the detail required by these studies. Using multiple existing LC products, we implement our Spatiotemporal Categorical Map Fusion (SCaMF) methodology over a large region of the Rocky Mountains (RM), encompassing sections of six states, to create a new LC product, SCaMF–RM. To do this, we must adapt SCaMF to address the prediction of LC in large space–time regions that present nonstationarities, and we add more flexibility in the LC classifications of the predicted product. SCaMF–RM is produced at two high spatial resolutions, 30 and 50 m, and a yearly frequency for the 30-year period 1983–2012. When multiple products are available in time, we illustrate how SCaMF–RM captures relevant information from the different LC products and improves upon flaws observed in other products. Future work needed includes an exhaustive validation not only of SCaMF–RM but also of all input LC products. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|