Identifying relevant hyperspectral bands using Boruta: a temporal analysis of water hyacinth biocontrol

Na’eem Hoosen Agjee; Riyad Ismail; Onisimo Mutanga

doi:10.1117/1.JRS.10.042002

1 June 2016 Identifying relevant hyperspectral bands using Boruta: a temporal analysis of water hyacinth biocontrol

Na’eem Hoosen Agjee, Riyad Ismail, Onisimo Mutanga

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 4, 042002 (June 2016). https://doi.org/10.1117/1.JRS.10.042002

Abstract

Water hyacinth plants (Eichhornia crassipes) are threatening freshwater ecosystems throughout Africa. The Neochetina spp. weevils are seen as an effective solution that can combat the proliferation of the invasive alien plant. We aimed to determine if multitemporal hyperspectral data could be utilized to detect the efficacy of the biocontrol agent. The random forest (RF) algorithm was used to classify variable infestation levels for 6 weeks using: (1) all the hyperspectral bands, (2) bands selected by the recursive feature elimination (RFE) algorithm, and (3) bands selected by the Boruta algorithm. Results showed that the RF model using all the bands successfully produced low-classification errors (12.50% to 32.29%) for all 6 weeks. However, the RF model using Boruta selected bands produced lower classification errors (8.33% to 15.62%) than the RF model using all the bands or bands selected by the RFE algorithm (11.25% to 21.25%) for all 6 weeks, highlighting the utility of Boruta as an all relevant band selection algorithm. All relevant bands selected by Boruta included: 352, 754, 770, 771, 775, 781, 782, 783, 786, and 789 nm. It was concluded that RF coupled with Boruta band-selection algorithm can be utilized to undertake multitemporal monitoring of variable infestation levels on water hyacinth plants.

Citation Download Citation

Na’eem Hoosen Agjee, Riyad Ismail, and Onisimo Mutanga "Identifying relevant hyperspectral bands using Boruta: a temporal analysis of water hyacinth biocontrol," Journal of Applied Remote Sensing 10(4), 042002 (1 June 2016). https://doi.org/10.1117/1.JRS.10.042002

Published: 1 June 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available