ResearchSpace
→
Browsing by Subject

Browsing by Subject "Random forests"

Now showing items 1-4 of 4

Estimation of canopy nitrogen concentration across C3 and C4 grasslands using WorldView-2 multispectral data

Author: Adjorlolo, C ; Mutanga, O ; Cho, Moses A Date: May 2014 This paper assesses the potential of multispectral data attained using WorldView-2 (WV2) satellite to estimate and map the variability in canopy nitrogen (N) concentration across C3 and C4 grasslands. The WV2 satellite image was acquired for ... Read more
Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image

Author: Adelabu, S ; Mutanga, O ; Adam, E ; Cho, Moses A Date: Nov 2013 Classification of different tree species in semiarid areas can be challenging as a result of the change in leaf structure and orientation due to soil moisture constraints. Tree species mapping is, however, a key parameter for forest management ... Read more
Savannah woody structure modelling and mapping using multifrequency (X-, C- and L-band) synthetic aperture radar data

Author: Naidoo, Laven ; Mathieu, Renaud SA ; Main, Russell S ; Kleynhans, W ; Wessels, Konrad J ; Asner, G ; Leblon, B Date: Jul 2015 Structural parameters of the woody component in African savannahs provide estimates of carbon stocks that are vital to the understanding of fuelwood reserves, which is the primary source of energy for 90% of households in South Africa (80% ... Read more
Spectral resampling based on user-defined interband correlation filter: C3 and C4 grass species classification

Author: Adjorlolo, C ; Mutanga, O ; Cho, Moses A ; Ismail, R Date: Apr 2013 In this paper, a user-defined inter-band correlation filter function was used to resample hyperspectral data and thereby mitigate the problem of multicollinearity in classification analysis. The proposed resampling technique convolves the ... Read more

Now showing items 1-4 of 4

Browse

All of ResearchSpace

Quick Links

Legislation and compliance

General Enquiries

Tel: + 27 12 841 2911
Email: callcentre@csir.co.za

Physical Address
Meiring Naudé Road
Brummeria
Pretoria
South Africa

Postal Address
PO Box 395
Pretoria 0001
South Africa

Social Connect

Resources on this site are free to download and reuse according to associated licensing provision. Please read the terms and conditions of usage of each resource.

Browsing by Subject "Random forests"

Browsing by Subject "Random forests"

Browse

All of ResearchSpace

Quick Links

Legislation and compliance

General Enquiries

Social Connect