TY - JOUR
T1 - Imaging spectroscopy for desertification studies
T2 - Comparing AVIRIS and EO-1 Hyperion in Argentina drylands
AU - Asner, Gregory P.
AU - Heidebrecht, Kathleen B.
N1 - Funding Information: Manuscript received May 28, 2002; revised January 7, 2003. This work was supported by the National Aeronautics and Space Administration (NASA) Earth Observing 1 (New Millenium Program) under Grant NCC5–480 and by NASA New Investigator Program under Grant NAG5–8709.
PY - 2003/6
Y1 - 2003/6
N2 - Arid and semiarid ("dryland") regions are complex mosaics of vegetation cover, structure, and phenology. Few multispectral remote sensing approaches have quantitatively resolved the spatial complexity of photosynthetic vegetation (PV), nonphotosynthetic vegetation (NPV), and bare soil in drylands. In combination, these surface properties provide insight to land degradation and desertification known to be occurring in many drylands worldwide. Given sufficient spatial resolution and sensor performance, imaging spectroscopy provides this information using reflectance measurements over the 0.4-2.5-μm region. We tested and compared the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and the spaceborne Earth Observing 1 Hyperion imaging spectrometer for measuring PV, NPV, and bare soil fractional cover in the Monte Desert biome of Central Argentina. A probabilistic spectral mixture model was used to decompose image pixels into subpixel surface constituents using a spectral endmember bundling approach. AVIRIS (4.5-m pixels) and Hyperion (30-m pixels) data were collected over a 763-km2 region containing the Nacunan Man-and-Biosphere Reserve and surrounding unprotected areas. The AVIRIS data, combined with the mixture modeling, provided highly accurate estimates of PV, NPV, and bare soil in comparison with field measurements (0.83 < r2 < 0.86). Hyperion provided accurate estimates of PV (r2 = 0.68) due to good red-edge (0.69-0.71 μm) performance, but NPV and bare soil estimates were accurate only when cover values exceeded ∼ 30% (r2 = 0.39-0.40). Lower NPV and soil cover accuracies from Hyperion were due to lower S/N performance in the shortwave-infrared (2.0-2.4 μm) region. Convolving the AVIRIS reflectance data to 30-m pixel size showed that apparent accuracies decrease by 20% due to field/remote sensing colocation errors. AVIRIS 30-m results for PV were statistically similar to Hyperion 30-m results. Convolving the Hyperion data to 60-m pixel size boosted S/N performance but did not significantly increase the accuracy of mixture analyses. Both AVIRIS and Hyperion spectral mixture results consistently showed much lower NPV and higher bare soil cover outside the Nacunan Reserve. PV cover fractions indicated land degradation in localized areas near cattle ranching centers outside the reserve. The PV+NPV results indicated spatially discrete and widespread degradation of ecosystems that are not protected in Nacunan Reserve. High-fidelity airborne instruments such as AVIRIS perform exceptionally well in these studies, while moderate-fidelity instruments like Hyperion also provide adequate information to track broad changes in PV, NPV, and bare soil fractions. Future spaceborne high-fidelity spectrometers will go farther in providing this capability.
AB - Arid and semiarid ("dryland") regions are complex mosaics of vegetation cover, structure, and phenology. Few multispectral remote sensing approaches have quantitatively resolved the spatial complexity of photosynthetic vegetation (PV), nonphotosynthetic vegetation (NPV), and bare soil in drylands. In combination, these surface properties provide insight to land degradation and desertification known to be occurring in many drylands worldwide. Given sufficient spatial resolution and sensor performance, imaging spectroscopy provides this information using reflectance measurements over the 0.4-2.5-μm region. We tested and compared the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and the spaceborne Earth Observing 1 Hyperion imaging spectrometer for measuring PV, NPV, and bare soil fractional cover in the Monte Desert biome of Central Argentina. A probabilistic spectral mixture model was used to decompose image pixels into subpixel surface constituents using a spectral endmember bundling approach. AVIRIS (4.5-m pixels) and Hyperion (30-m pixels) data were collected over a 763-km2 region containing the Nacunan Man-and-Biosphere Reserve and surrounding unprotected areas. The AVIRIS data, combined with the mixture modeling, provided highly accurate estimates of PV, NPV, and bare soil in comparison with field measurements (0.83 < r2 < 0.86). Hyperion provided accurate estimates of PV (r2 = 0.68) due to good red-edge (0.69-0.71 μm) performance, but NPV and bare soil estimates were accurate only when cover values exceeded ∼ 30% (r2 = 0.39-0.40). Lower NPV and soil cover accuracies from Hyperion were due to lower S/N performance in the shortwave-infrared (2.0-2.4 μm) region. Convolving the AVIRIS reflectance data to 30-m pixel size showed that apparent accuracies decrease by 20% due to field/remote sensing colocation errors. AVIRIS 30-m results for PV were statistically similar to Hyperion 30-m results. Convolving the Hyperion data to 60-m pixel size boosted S/N performance but did not significantly increase the accuracy of mixture analyses. Both AVIRIS and Hyperion spectral mixture results consistently showed much lower NPV and higher bare soil cover outside the Nacunan Reserve. PV cover fractions indicated land degradation in localized areas near cattle ranching centers outside the reserve. The PV+NPV results indicated spatially discrete and widespread degradation of ecosystems that are not protected in Nacunan Reserve. High-fidelity airborne instruments such as AVIRIS perform exceptionally well in these studies, while moderate-fidelity instruments like Hyperion also provide adequate information to track broad changes in PV, NPV, and bare soil fractions. Future spaceborne high-fidelity spectrometers will go farther in providing this capability.
KW - Airborne visible/infrared imaging spectrometer (AVIRIS)
KW - Argentina
KW - Desertification
KW - Drylands
KW - Earth Observing-1
KW - Hyperion
KW - Imaging spectroscopy
KW - Land degradation
KW - Monte Desert
KW - Spectral mixture analysis
UR - https://www.scopus.com/pages/publications/0042884026
UR - https://www.scopus.com/pages/publications/0042884026#tab=citedBy
U2 - 10.1109/TGRS.2003.812903
DO - 10.1109/TGRS.2003.812903
M3 - Article
SN - 0196-2892
VL - 41
SP - 1283
EP - 1296
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 6 PART I
ER -