Landsat Imagery And Ndvi Differencing To Detect Coastal Mangrove Changer Case Study In Dai Hop And Bang La Communes Hai Phong

MINISTRY OF AGRICULTURE AND RURAL DEVELOPMENT

VIETNAM FORESTRY UNIVERSITY

STUDENT THESIS

LANDSAT IMAGERY AND NDVI DIFFERENCING TO DETECT

COASTAL MANGROVE CHANGES

Case study in Dai Hop and Bang La communes, Hai Phong

Major: Natural Resources Management (Advanced Curriculum)

Code: D850101

Faculty: Forest Resources and Environmental Management

Student: Nguyen Cong Quang Student ID:1053090504

Class: K55 Natural Resources Management Course: 2010 - 2014

Advanced Education Program

Developed in collaboration with Colorado State University, USA

Supervisor: Dr. Nguyen Hai Hoa

Hanoi, November 2014

ii

ACKNOWLEDGMENTS

This thesis could not have been completed without the assistance, advice and support of a

number of people. Firstly, I would like to thank my supervisor, Dr. Hai Hoa Nguyen for his

and advice throughout my undergraduate thesis. In particular, I am deeply appreciative of the

time and consideration given by him whenever I needed it.

This study depended to a large extent on the co-operation of my mangrove friends and coastal

inhabitants in Dai Hop and Bang La communes, who not only provided access to their

properties for my field studies, but often also opened their homes to me and allowed me to

gain an understanding of life on the coast.

I would like to say a very big thank you to my friends and family for putting up with me and

providing encouragement and moral support when I most needed it. Special mention goes to

my lecturers in Faculty of Forest Resource and Environmental Management, Vietnam

Forestry University who encouraged and morally supported whenever I most needed. To my

parents, thank you so much for your unconditional love and moral support.

Due to the limited research capability and time budget, the shortcoming of thesis is

inevitable. I therefore would like to receive feedbacks from lecturers, researchers and friends

for enhancing the quality of my thesis.

iii

ABSTRACT

Fringe mangroves are recognized as a highly valuable resource due to their provision of

multiple ecosystem services. In this study, we propose a vegetation change detection analysis

based on the NDVI differencing technique in order to assess mangrove forests changes related

to mangrove forest expansion for the Kien Thuy and Do Son coasts, Hai Phong, Vietnam

using multi-temporal imageries from 2003 to 2014.

Using the method techniques and algorithms used to detect changes in the different phases of

the objects on remote sensing have been established based on the development of remote

sensing technology in the space characteristics, spectral, thermal and time. Method to detect

changes in mangroves is a way of comparing the differences between two images (Singh,

1989). In this study, NDVI (Normalised Differencing Vegetation Index) is applied to detect

changes in coastal mangroves and other coastal land use/covers. Two pairs of images are used

to analyze changes, including a pair of 2003 - 2009 and 2009- 2014. And use GIS applications

to detect mangrove changes.

To assess the accuracy of classification methods on the thematic use of the same set of test

data points on the field in the state forests, other objects and other countries in the area of

investigation, determining the GPS and proceed to compare the actual value with the value on

image classification, which assess the accuracy of classification methods and compare the

accuracy of the years during the period 2003-2014. The accuracy of classification,

interpretation performed on image classification in 2003, 2009 and 2014.

Mangrove forests have large fluctuations in the period 2003 - 2014. In 2003, there were

219.87 ha of mangroves which were the lowest land cover by mangrove extent in comparison

with 2009 (401.13 ha) and 2014 (181.26 ha). The results showed that the increase of the area

of mangroves 2003-2014 was derived from policies to protect the mangroves good, concrete

support of government agencies, local government advocacy, educational programs.

iv

KEY WORDS

Bang La, Coastal areas, Dai Hop, Landsat image, Land Use/Land Cover, Local people,

NDVI, Mangroves.