State and Transition Modelling with Remote Sensing: A Synergistic Future for MODIS, VIIRS and Sentinel 2
Abstract
In this paper, we explore the potential for use of Sentinel 2 and MODIS/VIIRS in a state and transition modeling framework to capture some important properties of the grassland-savanna-forest transition environment and provide a basis for scaling up to land surface models. Hyperion hyperspectral data from the EO-1 satellite was used to synthesize Sentinel 2, MODIS and VIIRS images for field sites in Alberta, North Dakota and Texas that represent the continuum from short grass prairie to oak savanna and are intermingled with agriculture. The results show that, despite some differences in band locations, a suite of vegetation indices are scalable between Sentinel 2 and MODIS and VIIRS data. These indices show individual differences among important grassland and savanna vegetation types. Once time series of these sensors can be used, there is substantial potential for improved vegetation retrievals in heterogeneous natural systems to aid global and regional modeling.
- Publication:
-
First Sentinel-2 Preparatory Symposium
- Pub Date:
- April 2012
- Bibcode:
- 2012ESASP.707E..21H