Potential for semiarid community type differentiation via exploitation of the directional signal

Tests with AVHRR data

Mark Chopping, Albert Rango, Jerry C. Ritchie

Research output: Contribution to conferencePaperResearchpeer-review

1 Citation (Scopus)

Abstract

Community-level vegetation type differentiation is regarded as an important application of remote sensing in monitoring the health of semiarid environments and yet it has proved difficult to discriminate more than two or three community types with confidence when using coarse spatial resolution data from off-nadir scanning sensors such as the AVHRR, even when multi-temporal datasets are used. Attempts to relate vegetation phenology to community type using AVHRR data have produced mixed results and large classification errors have been attributed to subpixel scale topographic and soil background variations, lack of in-flight calibration, inaccurate reflectance retrieval and poor registration. While these are important factors, anisotropy in surface reflectance as a result of the bidirectional reflectance distribution function (BRDF) also causes severe perturbations in the signal and yet this is rarely accounted for adequately. Recent years have seen a wider acknowledgement of this fundamental aspect of optical remote sensing, although it is usually approached as a problem. The extent of the improvement in community type differentiation may be considerable when a BRDF model is used to separate isotropic and anisotropic components. Here this potential is tested using data from the AVHRR over semi-arid regions.

Original languageEnglish
Pages1957-1959
Number of pages3
StatePublished - 1 Dec 2000
Event2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000) - Honolulu, HI, USA
Duration: 24 Jul 200028 Jul 2000

Other

Other2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000)
CityHonolulu, HI, USA
Period24/07/0028/07/00

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Advanced very high resolution radiometers (AVHRR)
AVHRR
bidirectional reflectance
Distribution functions
remote sensing
Remote sensing
surface reflectance
nadir
semiarid region
Arid regions
phenology
vegetation type
reflectance
anisotropy
spatial resolution
flight
perturbation
sensor
calibration
Anisotropy

Cite this

Chopping, M., Rango, A., & Ritchie, J. C. (2000). Potential for semiarid community type differentiation via exploitation of the directional signal: Tests with AVHRR data. 1957-1959. Paper presented at 2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000), Honolulu, HI, USA, .
Chopping, Mark ; Rango, Albert ; Ritchie, Jerry C. / Potential for semiarid community type differentiation via exploitation of the directional signal : Tests with AVHRR data. Paper presented at 2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000), Honolulu, HI, USA, .3 p.
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Chopping, M, Rango, A & Ritchie, JC 2000, 'Potential for semiarid community type differentiation via exploitation of the directional signal: Tests with AVHRR data' Paper presented at 2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000), Honolulu, HI, USA, 24/07/00 - 28/07/00, pp. 1957-1959.

Potential for semiarid community type differentiation via exploitation of the directional signal : Tests with AVHRR data. / Chopping, Mark; Rango, Albert; Ritchie, Jerry C.

2000. 1957-1959 Paper presented at 2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000), Honolulu, HI, USA, .

Research output: Contribution to conferencePaperResearchpeer-review

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N2 - Community-level vegetation type differentiation is regarded as an important application of remote sensing in monitoring the health of semiarid environments and yet it has proved difficult to discriminate more than two or three community types with confidence when using coarse spatial resolution data from off-nadir scanning sensors such as the AVHRR, even when multi-temporal datasets are used. Attempts to relate vegetation phenology to community type using AVHRR data have produced mixed results and large classification errors have been attributed to subpixel scale topographic and soil background variations, lack of in-flight calibration, inaccurate reflectance retrieval and poor registration. While these are important factors, anisotropy in surface reflectance as a result of the bidirectional reflectance distribution function (BRDF) also causes severe perturbations in the signal and yet this is rarely accounted for adequately. Recent years have seen a wider acknowledgement of this fundamental aspect of optical remote sensing, although it is usually approached as a problem. The extent of the improvement in community type differentiation may be considerable when a BRDF model is used to separate isotropic and anisotropic components. Here this potential is tested using data from the AVHRR over semi-arid regions.

AB - Community-level vegetation type differentiation is regarded as an important application of remote sensing in monitoring the health of semiarid environments and yet it has proved difficult to discriminate more than two or three community types with confidence when using coarse spatial resolution data from off-nadir scanning sensors such as the AVHRR, even when multi-temporal datasets are used. Attempts to relate vegetation phenology to community type using AVHRR data have produced mixed results and large classification errors have been attributed to subpixel scale topographic and soil background variations, lack of in-flight calibration, inaccurate reflectance retrieval and poor registration. While these are important factors, anisotropy in surface reflectance as a result of the bidirectional reflectance distribution function (BRDF) also causes severe perturbations in the signal and yet this is rarely accounted for adequately. Recent years have seen a wider acknowledgement of this fundamental aspect of optical remote sensing, although it is usually approached as a problem. The extent of the improvement in community type differentiation may be considerable when a BRDF model is used to separate isotropic and anisotropic components. Here this potential is tested using data from the AVHRR over semi-arid regions.

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Chopping M, Rango A, Ritchie JC. Potential for semiarid community type differentiation via exploitation of the directional signal: Tests with AVHRR data. 2000. Paper presented at 2000 Intenational Geoscience and Remote Sensing Symposium (IGARSS 2000), Honolulu, HI, USA, .