Case Study: Analysis with high-resolution imagery in California
STOMER’S GOALS:
1. Fuel removal 2. Thinning 3. Unwanted species removal
4. Fire breaks
EXAMPLES OF DATA ANALYSIS
1. Change Analysis using 10m Sentinel data: fast, cost effective, always available
2. Canopy/Gap Analysis and land-use classification using super-high-resolution (30cm) Airbus Pleiades NEO data (only small part of AOI available in archive)
3. Land and vegetation classification in detail (static and change) using 10m Sentinel data
Sentinel Analysis (10 m res) on the whole AOI depicting canopy loss.
Sentinel Analysis (10 m res) on the whole AOI depicting changes in photosynthetic activity from 2020 to 2021.
Sentinel Analysis (10 m res) on the whole AOI depicting changes in photosynthetic activity from 2020 to 2021.
Note here, that last summer was an extremely dry summer, which affects the stress in plants, thus it is very likely that the abundance of orange/red color in this image is due to drought affecting photosynthetic activity/growth.
“We are currently doing some cool analysis with high-resolution imagery (30 cm from Airbus Pleiades Neo). For example, we detected dead trees within a natural forest in this project. Additionally, we calculated a density map, which tells us where in this natural forest gaps occur. Gaps mean that there is no forest. For this project, it was important to find gaps, as they can tell us where fire breaks can be installed and where fire roads need to be cleared" says Dr. Ina Heim, Change Monitor Product Manager at SKYLAB.
Zoom in on canopy gap analysis> This is a more detailed map than the density map (hexagon). The image shows the dead trees (orange dots), the stocking density grid map (hexagons) and the urban development classification (purple). The orange line is a river, and the red lines are streets.
