Spatial and Temporal Distribution of Mikania micarantha Kunth in Chitwan Annapurna Landscape (CHAL) Area with Application of Satellite Imageries
Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Botany
Abstract
Mikania micrantha is a fast-growing neotropical, and the most problematic terrestrial
invasive plant species rapidly invading tropical parts of Nepal. Remote Sensing offers
synoptic view for detecting and mapping invasive plant species and record changes in
actual and potential distribution across wide region over time period. Knowledge
based classification approach was used for mapping M. micrantha distribution in
Chitwan Annapurna Landscape using multispectral Landsat and WorldView-2
imageries. For Knowledge Based classification, information on elevation, slope,
aspect, maximum temperature, minimum temperature, rainfall, unsupervised
classified image based on digital number (DN) value NDVI from reflectance and
supervised classified image of land use that is suitable for M. micrantha were used as
variables for rules. Results have shown increasing trend i.e. 0.1%, 0.19 %, 0.65% and
1.39% of total area of CHAL covered by M. micrantha in 1990, 2000, 2008 and 2018
respectively in Landsat image. WorldView 2 images of different small patch of
Chitwan, Nawalparasi, Chitwan-Makwanpur, Chitwan- Tanahu, Makwanpur
(Hetauda) were classified and accuracy assessment was done. WorldView-2 images
with high spatial resolution than the Landsat images show higher accuracy. Overall
accuracy varied from 68.75% to 76% and 79% to 82.5% in Landsat and WorldView-2
imageries respectively. Kappa coefficient varied between 0.37to 0.52 and 0.49 to 0.65
for Landsat and WorldView-2 imageries, respectively. WorldView-2 imageries of high
spatial resolution are more effective than Landsat imageries in delineation of Mikania
micrantha however Landsat imageries can also be useful in detecting the herbaceous
weed.
Keywords: Invasive plant species, Knowledge based classification, Supervised
classification, Accuracy assessment
Description
Keywords
Invasive plant species, Knowledge based classification, Supervised classification, Accuracy assessment