Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin

Chek Yasin, Alia Tasnin (2018) Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin. Degree thesis, Universiti Teknologi Mara Perlis.


Mangroves are a group of trees and shrub that live in the coastal intertidal zone
and it is an important ecosystems that will support wide variety of coastal species.
Nowadays mangrove forest are among the most threatened habitats in the world
and most of the mangrove area are decreasing. One of the possible factor could be
due to rising temperature which is also affected by global warming. The
identification of mangrove and temperature can be derived from remotely sensed
vegetation index and LST respectively. Thus, the aim of this study is to identify
mangrove changes based on NDVI and LST between year 1999 and 2015 at
Matang Mangrove Forest, Perak using Landsat images. This study consists of
three objective; (i) to determine mangrove changes using spectral band
combination and classification method, (ii) to identify mangrove changes based on
NDVI and (iii) to determine the effect of LST to mangrove changes. The ND\T
results show the value for year 1999 range from -0.55 to 0.56 meanwhile for year
2015 it is range from -1 to 0.96. NDVI values of 0.25 to 0.56 are observed as the
mangrove area. The comparison of histogram that represent the pixel value of
NDVI shows that the NDVI are decrease. The decreasing of NDVI shows that the
mangrove are changed. Area of mangrove decreases about 29% from 35003.74 ha
to 29074.53 ha from year 1999 to 2015. For relationship between LST and
iiiaiigrove changes, the result show that the = 0.20 for year 1999 and for year
2015 it is R^ = 0.39. Therefore, the temperature does not give much effect to the
mangrove changes. This study shows that the mangrove at study area are
experience changes from year 1999 to 2015 but the changes is not affected by
temperature. For future work, it is should implement other variables such as
rainfall and sea level to see the effect towards mangrove changes.


Item Type: Thesis (Degree)
Email / ID Num.
Chek Yasin, Alia Tasnin
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems
Q Science > QC Physics > Heat > Temperature measurements
S Agriculture > S Agriculture (General) > Agroforestry
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying
Keywords: Mangroves ; global warming ; remotely sensed ; NDVI
Date: November 2018
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