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Toward operational remote sensing of public land
1. Philip Heilman and Guillermo Ponce
With help from the BLM, Forest Service
and Applied Geosolutions
2.
3.
4. Strengths
๏ Cover whole allotment and area around it
๏ Can go back in time (Landsat 5 to 1984)
๏ Can compare across allotments
๏ Can compare to potential (given site potential and
recent climate)
Weaknesses
๏ Broader, but shallow (no composition)
๏ Not directly comparable to field measurements
๏ Error โ but in many cases improvable
๏ A โBig Dataโ problem โ takes skill and time
5.
6.
7. Side view of lidar point cloud of a mesquite tree
by Tyson Swetnam
8. Sensor Production Cover
Landsat (1984-) Maximum NDVI Value in the
Year
30 m Spatial Resolution
Annual 2000-2013
SATVI Derived Total
(Green + Senescent)
Foliar Cover
30 m Spatial Resolution
Pre and Post Monsoon
2008-2011
MODIS (2000-) Integrated Enhanced
Vegetation Index (iEVI)
250 m Spatial Resolution
Every 16 Days. 2000-2013
SATVI Derived Total
(Green + Senescent)
Foliar Cover
500 m Spatial Resolution
Every 8 Days, 2000-2013
Other Sensors?
Other Products? ? ?
38. Strengths
๏ Cover whole allotment
๏ Can go back in time
๏ Can compare across allotments
๏ Can compare to potential (given site potential and
recent climate)
Weaknesses
๏ Broader, but shallower (no composition)
๏ Not directly comparable to field measurements
๏ Error โ but in many cases improvable
๏ A โBig Dataโ problem โ takes skill and time
39. Sensor Production Cover
Landsat (1984-) Maximum NDVI Value in the
Year
30 m Spatial Resolution
Annual 2000-2013
SATVI Derived Total
(Green + Senescent)
Foliar Cover
30 m Spatial Resolution
Pre and Post Monsoon
2008-2011
MODIS (2000-) Integrated Enhanced
Vegetation Index (iEVI)
250 m Spatial Resolution
Every 16 Days. 2000-2013
SATVI Derived Total
(Green + Senescent)
Foliar Cover
500 m Spatial Resolution
Every 8 Days, 2000-2013
Other Sensors?
Other Products? ? ?
40. The road to wisdom? Well its plain
and simple to express:
Err
and err,
and err again,
but less
and less
and less. by Piet Hein
41. ๏ Field data becoming more expensive to collect
๏ Harder to stay up to date with NEPA requirements
๏ Catalog of free (raw) imagery (Landsat 1984-;
MODIS 2000-; Google Earth Engine)
๏ EVI and maxNDVI datasets, Total Cover from SATVI
๏ Supporting technology is improving (GPS; GIS
datasets; Aerial Photography; Big Data technology)
Remote sensing is on the verge of being able to
complement, but not replace, field data