NM Desert Grassland & Shrubland Community Type
Differentiation
Results of separability and contingency analyses using transformed divergence on 17
classes representing 17 cover and community types (7 from the USDA-ARS Jornada
Experimental Range and 10 from the Sevilleta National Wildlife Refuge).
The test datasets are :
- uncorrected (atmospherically-corrected reflectances from 17 AVHRR
overpasses, screened for contamination, NOT corrected for BRDF effects);
- isotropic parameters (VIS and NIR reflectances modeled with nadir
viewing and sun overhead);
- anisotropic parameters (geometric-optical and volume scattering
weights : 2 for each channel ::: 4 dimensions);
- isotropic and anisotropic parameters (iso+geometric-optical+volume
scattering weights : 2 for each channel ::: 6 dimensions);
- MVC_PM (VIS and NIR from maximum value compositing with NDVI as the
criterion - afternoon orbits only);
- MVC_ALL (VIS and NIR from maximum value compositing with NDVI as the
criterion - all 17
AM and PM orbits).
Theoretically, the isotropic parameter should be purely spectral (no
directional component) and the directional signal is captured in the
anisotropic parameters, which weight the contributions of
geometric-optical and volume scattering phenomena. The separation of the
brightness and directional components into these parameters was effected
by inversion of an isotropic-LiSparseMODIS-RossThin model (kernel
combination) against atmospherically-corrected and screened VIS and NIR
reflectance data from 17 orbits (9 AM and 8 PM overpasses).
Get information on this kind of
model.
Transformed Divergence (TD) range is 0 - 2000 (unseparable - completely
separable); values less than 1500 are considered poor.
In the class abbreviations below J indicates
training data from sites in the Jornada Experimental Range and S indicates training data from sites in the Sevilleta
National Wildlife Refuge.
| # times each class is in a pair with TD <= 1500 :
|
| Classes / datasets |
anisotropic |
isotropic |
iso+aniso |
MVC_PM |
MVC_ALL |
Uncorrected |
Total* |
Difficulty |
| 1 Jgrass1BOU |
0 |
2 |
0 |
2 |
9 |
14 |
13 |
difficult |
| 2 Jcreosote |
0 |
2 |
0 |
5 |
3 |
14 |
10 |
moderate |
| 3 Jothershrub |
0 |
3 |
0 |
4 |
5 |
14 |
12 |
difficult |
| 4 Jtransition |
1 |
0 |
0 |
1 |
3 |
14 |
5 |
moderate |
| 5 Sgrama/creo |
1 |
3 |
0 |
4 |
5 |
16 |
13 |
difficult |
| 6 Sbarren |
0 |
0 |
0 |
1 |
0 |
16 |
1 |
easy |
| 7 Sblk_grama |
1 |
0 |
0 |
6 |
6 |
16 |
13 |
difficult |
| 8 Screosote-E |
na |
0 |
0 |
4 |
0 |
15 |
4 |
moderate |
| 9 Screosote-W |
0 |
4 |
0 |
4 |
4 |
15 |
12 |
difficult |
| 10 Sfourwing |
0 |
3 |
0 |
5 |
9 |
16 |
17 |
difficult |
| 11 Sgrass_trans |
0 |
1 |
0 |
4 |
5 |
6 |
10 |
moderate |
| 12 SgrassGI-W |
0 |
1 |
0 |
0 |
2 |
9 |
3 |
moderate |
| 13 Sbbgramas |
2 |
4 |
0 |
2 |
0 |
15 |
8 |
moderate |
| 14 SbluNhairy |
1 |
2 |
0 |
4 |
7 |
16 |
14 |
difficult |
| 15 Jmesquite |
1 |
1 |
0 |
2 |
4 |
14 |
8 |
moderate |
| 16 Jgrass2SPOR |
0 |
2 |
0 |
2 |
2 |
14 |
6 |
moderate |
| 17 Jtarbush |
1 |
2 |
0 |
4 |
4 |
14 |
11 |
difficult |
| |
|
|
|
|
|
|
|
|
| TOTALS |
8 |
30 |
0 |
54 |
68 |
238 |
- |
|
Notes :
Uncorrected is atmospherically-corrected reflectance from 17 orbits screened for cloud/shadow/bad values
(uncorrected means NOT BRDF-corrected!).
"difficult" is when the class has TD <=1500 in more than 10 instances.
MVC indicates maximum-value compositing on NDVI. MVC_ALL is derived from all 17 orbits; MVC_PM from afternoon orbits
only.
* Total excludes count for uncorrected dataset.
| TD over all class pairs |
|
|
# pairs where |
|
| (max.TD=2000 in all cases except uncorrected
where it is 1952) |
Mean TD |
Min TD |
TD <=1500 |
Rank |
| isotropic (k0) |
1873 |
815 |
30 |
3 |
| anisotropic (k1, k2) |
1934 |
592 |
8 |
2 |
| iso+aniso (k0, k1, k2) |
1997 |
1643 |
0 |
1 |
| MVC_NDVI (all orbits) |
1679 |
202 |
68 |
5 |
| MVC_NDVI (PM orbits only) |
1759 |
150 |
54 |
4 |
| Uncorrected (screened) |
690 |
18 |
238 |
6 |
| Worst-case performance for "difficult" classes only I (minima, against any
other class) : |
| "Difficult" classes |
anisotropic |
isotropic |
iso+aniso |
MVC_PM |
MVC_ALL |
Uncorrected |
| 1 Jgrass1BOU |
1887 |
1236 |
2000 |
888 |
736 |
76 |
| 3 Jothershrub |
1588 |
1010 |
1991 |
880 |
725 |
86 |
| 5 Sgrama/creo |
1359 |
1086 |
2000 |
385 |
316 |
135 |
| 7 Sblk_grama |
1440 |
1545 |
2000 |
966 |
892 |
129 |
| 9 Screosote-W |
1999 |
815 |
2000 |
267 |
594 |
88 |
| 10 Sfourwing |
1769 |
815 |
2000 |
986 |
202 |
71 |
| 14 SbluNhairy |
592 |
1285 |
1643 |
960 |
202 |
85 |
| 17 Jtarbush |
1359 |
625 |
2000 |
150 |
728 |
102 |
| |
|
|
|
|
|
|
| % instances with TD > 1500 : |
50 |
13 |
100 |
0 |
0 |
0 |
| Min : |
592 |
625 |
1643 |
150 |
202 |
71 |
| Max : |
1999 |
1545 |
2000 |
986 |
892 |
135 |
| Mean : |
1499 |
1052 |
1954 |
685 |
549 |
97 |
| Worst-case performance for "difficult" classes only II (classes
corresponding to I above) : |
| ______"Difficult" classes______ |
anisotropic |
isotropic |
iso+aniso |
MVC_PM |
MVC_ALL |
Uncorrected |
| 1 Jgrass1BOU |
16-Jgrass2SPOR |
17-Jtarbush |
min=2000! |
2-Jcreosote |
14-SbluNhairy |
16-Jgrass2SPOR |
| 3 Jothershrub |
15-Jmesquite |
16-Jgrass2SPOR |
15-Jmesquite |
2-Jcreosote |
15-Jmesquite |
15-Jmesquite |
| 5 Sgrama/creo |
17-Jtarbush |
10-Sfourwing |
min=2000! |
11-Sgrass-trans |
11-Sgrass-trans |
14-SbluNhairy |
| 7 Sblk_grama |
13-Sbbgramas |
6-Sbarren |
min=2000! |
9-Screosote-W |
14-SbluNhairy |
8-Screosote-E |
| 9 Screosote-W |
17-Jtarbush |
10-Sfourwing |
min=2000! |
11-Sgrass-trans |
10-Sfourwing |
6-Sbarren |
| 10 Sfourwing |
7-Sblk_grama |
9-Screosote-W |
min=2000! |
13-Sbbgramas |
14-SbluNhairy |
8-Screosote-E |
| 14 SbluNhairy |
13-Sbbgramas |
13-Sbbgramas |
13-Sbbgramas |
5-Sgrama/creo |
10-Sfourwing |
13-Sbbgramas |
| 17 Jtarbush |
5-Sgrama/creo |
16-Jgrass2SPOR |
min=2000! |
2-Jcreosote |
2-Jcreosote |
1-Jgrass1BOU |
CONCLUSIONS:
- decomposing AVHRR channel 1 and 2 reflectance into spectral (brightness)
and directional components with a linear semiempirical kernel-driven (LiSK)
BRDF model provides far superior cover type discrimination compared with data
obtained via traditional Maximum Value Compositing.
- using the anistropic parameters alongside the isotropic reflectance
improves inter-class separability by making use of the directional signal of
the cover types in addition to the spectral signal. When using both signals,
the worst separabilities were found between 3-Jothershrub and 15-Jmesquite
(TD=1991) and 13-Sbbgramas and 14-SbluNhairy (TD=1643).
- using just the anisotropic parameters alone generally results in confusion
between cover types with similar characteristics (e.g. 2 grassland communities
or 2 shrubland communities).
Last Updated on 3/28/00
By Mark Chopping