Imaging spectroscopy for desertification studies: Comparing AVIRIS and EO-1 Hyperion in Argentina drylands

Gregory P. Asner, Kathleen B. Heidebrecht

Research output: Contribution to journalArticle

84 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1283-1296
Number of pages14
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume41
Issue number6 PART I
DOIs
StatePublished - Jun 1 2003
Externally publishedYes

Fingerprint

Hyperion
AVIRIS
Infrared imaging
desertification
Spectrometers
spectroscopy
Spectroscopy
Imaging techniques
vegetation
bare soil
pixel
Soils
Pixels
vegetation cover
land degradation
soil cover
reflectance
spectrometer
Degradation
Remote sensing

Keywords

  • Airborne visible/infrared imaging spectrometer (AVIRIS)
  • Argentina
  • Desertification
  • Drylands
  • Earth Observing-1
  • Hyperion
  • Imaging spectroscopy
  • Land degradation
  • Monte Desert
  • Spectral mixture analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Cite this

Imaging spectroscopy for desertification studies : Comparing AVIRIS and EO-1 Hyperion in Argentina drylands. / Asner, Gregory P.; Heidebrecht, Kathleen B.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 6 PART I, 01.06.2003, p. 1283-1296.

Research output: Contribution to journalArticle

@article{71448fcc9fa44f288dcf7c74c790dcc1,
title = "Imaging spectroscopy for desertification studies: Comparing AVIRIS and EO-1 Hyperion in Argentina drylands",
abstract = "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.",
keywords = "Airborne visible/infrared imaging spectrometer (AVIRIS), Argentina, Desertification, Drylands, Earth Observing-1, Hyperion, Imaging spectroscopy, Land degradation, Monte Desert, Spectral mixture analysis",
author = "Asner, {Gregory P.} and Heidebrecht, {Kathleen B.}",
year = "2003",
month = "6",
day = "1",
doi = "10.1109/TGRS.2003.812903",
language = "English (US)",
volume = "41",
pages = "1283--1296",
journal = "IEEE Transactions on Geoscience and Remote Sensing",
issn = "0196-2892",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6 PART I",

}

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.

PY - 2003/6/1

Y1 - 2003/6/1

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 - http://www.scopus.com/inward/record.url?scp=0042884026&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0042884026&partnerID=8YFLogxK

U2 - 10.1109/TGRS.2003.812903

DO - 10.1109/TGRS.2003.812903

M3 - Article

AN - SCOPUS:0042884026

VL - 41

SP - 1283

EP - 1296

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

SN - 0196-2892

IS - 6 PART I

ER -