1. Joint Remote Sensing Research Program 2016 Research Updates
S.Phinn and N.Flood, 7 June 2016
All processing by N.Flood

2. Statewide vegetation cover mapping, https://www. qld. gov

3. Making mapping and monitoring applications possible…..
Current image pre-processing chain and derived products
Making mapping and monitoring applications possible…..
At the beginning images are corrected against atmospheric effects that is at sensor radiance to at sensor reflectance, also against topographic effects using DEM from shuttle radar topographic mission. Also waters and clouds and their shadows are masked out with specific spectral indices
In the second stage, intermediate spatial products are derived such as datasets free of clouds and water, at this stage integration with field data occur to develop vegetation cover datasets
That are later used in a third stage to produce the outputs from the main programs in the centre like the fire scar, foliage cover or the the gorund cover products

4. SPOT Surface Reflectance is solved

5. Sentinel-2 Update

9. Surface Reflectance (JRSRP)
Understand ESA's metadata. Note pre-calculated sun and satellite angles
Adapt 6S for Sentinel-2 spectral response
Kludge BRDF parameters from existing Landsat and SPOT. Should re-fit later, if required.
Comparison with matching Landsat-8 surface reflectance matches pretty well
Now running operationally

10. Surface reflectance, Landsat-8 vs Sentinel-2, same-day acquisition, for corresponding bands. 31 Landsat scenes.

11. Cloud masking
Adapted our existing Fmask implementation, as per suggestions by Zhu et al 2015.
Open-sourced the resulting general Python implementation – works for Landsat and Sentinel-2 (thanks to Sam Gillingham, who shared this task, paid by Landcare NZ)
Now running operationally

14. Water masking (Fisher et al)
Standardized surface reflectance means we can use Landsat algorithms (we hope)
Tested Fisher et al water index (WI2015)
Appears to work pretty well.
Now running operationally

16. Water index (WI2015). Bright = water.

18. Fractional cover

19. Fractional cover, Landsat-8 vs Sentinel-2, same-day acquisition.
Bare, green, dead fractions.

20. Contacts + Social Media
Web:

21. Joint Remote Sensing Research Program 2016 Research Updates
7 June 2016