%0 Journal Article
%T Study of Forest Cover Change Dynamics between 2000 and 2015 in the Ikongo District of Madagascar Using Multi-Temporal Landsat Satellite Images
%A Aim¨¦ Richard Hajalalaina
%A Arisetra Razafinimaro
%A Nicolas Ratolotriniaina
%J Advances in Remote Sensing
%P 78-91
%@ 2169-2688
%D 2021
%I Scientific Research Publishing
%R 10.4236/ars.2021.103005
%X Satellite images are considered reliable data that preserve land cover
information. In the field of remote sensing, these images allow relevant
analyses of changes in space over time through the use of computer tools. In
this study, we have applied the ¡°discriminant¡± change detection algorithm. In
this, we have verified its effectiveness in multi-temporal studies. Also, we
have determined the change in forest dynamics in the Ikongo district of
Madagascar between 2000 and 2015. During the treatments, we have used the
Landsat TM satellite images for the years 2000, 2005 and 2010 as well as ETM+
for 2015. Thus, analyses carried out have allowed us to note that between
2000-2005, 1.4% of natural forest disappeared. And, between 2005-2010, forests
degradation<span><span><span style=\"font-family:;\" \"=\"\"> </span></span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\">was 1.8%. Also, between 2010-2015, about 0.5% of the natural forest
conserved in 2010 disappeared. Furthermore, we have found that the discriminant
algorithm is considerably efficient in terms of monitoring the dynamics of
forest cover change.</span></span></span>
%K Remote Sensing
%K Image Processing
%K Change Detect
%K Multi-Temporal
%K Landsat
%K Forest Covert
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=111493