Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery-Reference-Cited by-同舟云学术

Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery

Published:2004-01 Issue:2 Volume:25 Page:489-498
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Apan A.¹,Held A.²,Phinn S.³,Markley J.⁴

Affiliation:

1. a Geospatial Information and Remote Sensing (GIRS) Group, Faculty of Engineering and Surveying , University of Southern Queensland , Toowoomba 4350 QLD, Australia E-mail:

2. b Environmental Remote Sensing Group, CSIRO Land and Water , PO Box 1666, Canberra, ACT 2601 Australia

3. c Biophysical Remote Sensing Group, School of Geography, Planning & Architecture , University of Queensland , Brisbane 4072, Australia

4. d Mackay Sugar , Post Office Pleystowe , Pleystowe 4741 QLD, Australia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160310001618031

Reference23 articles.

1. Analytical Imaging and Geophysics LLC 2002 ACORN Version 4.10 (Boulder, CO: AIG)

2. Apan A Held A 2002 In-House Workshop on Hyperion Data Processing: Echo-ing the Sugarcane Project Experience (Black Mountain Laboratories, Canberra: CSIRO Land and Water)

3. Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves

4. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density

5. Ratios of leaf reflectances in narrow wavebands as indicators of plant stress

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