Comparing Vegetation Indices For Mangrove Forest Mapping Using Remontely Sensed Data In Kien Thuy And Do Son District Hai Phong City

MINISTRY OF AGRICULTURE AND RURAL DEVELOPMENT

VIETNAM FORESTRY UNIVERSITY

STUDENT THESIS

COMPARING VEGETATION INDICES FOR MANGROVE

FOREST MAPPING USING REMOTELY SENSED DATA IN

KIEN THUY AND DO SON DISTRICT, HAI PHONG CITY

Major: Natural Resources Management (Advanced Curriculum)

Code: D850101

Faculty: Forest Resources and Environmental Management

Student: Ha Duc Thien Student ID:1053091718

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 2015

ACKNOWLEDGMENTS

“People do not lack strength; they lack will”

Victor Hugo

I would like express my gratitude to my supervisor, Dr Nguyen Hai Hoa for his

support, guidance and encouragement throughout the process of this study.

My sincere appreciation to the members of my teammate whose loyalty and creative

endeavor made possible this paper

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ABSTRACT

The use of vegetation indices of remote sensing data in vegetation mapping has

been long recognized. However, the accuracy of mapping through the use of vegetation

indices model has limitations, and has so far not been investigated. This study compared

performance of the vegetation indices (Normalized Difference Vegetation Index- NDVI,

Simple Vegetation Index-SVI, Soil-Adjusted Vegetation Index- SAVI) for mangrove

mapping in Kien Thuy district and Do Son county, Hai Phong city. Landsat Image was

used as a primary data to derive mangrove vegetation class from three vegetation indices

models. A total of three mangrove habitat categories were detected consisting of kandelia

Obovate and Sonneratia Caseolaris, Mixed - Kandelia Obovate and Sonneratia

Caseolaris, Mixed Sonneratia Caseolaris. The accuracy assessment of vegetation indices

were ranged from 68.3% to 75.8%. The results indicated that the SAVI was the best index

for mangrove mapping compared to other indices with accuracy of 75.8% and able to

determine three mangrove classes.

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KEY WORDS

Vegetation indices, Landsat Image, mangrove mapping performance, accuracy assessment

ACRONYMS

GIS Geographic Information System

GPS Global Positioning System

SVI Simple Vegetation Index

NDVI Normalized Difference Vegetation Index

SAVI Soil-Adjusted Vegetation Index

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TABLE OF CONTENTS

ABSTRACT............................................................................................................................i

KEY WORDS........................................................................................................................ii

ACRONYMS.........................................................................................................................ii

TABLE OF CONTENTS......................................................................................................iii

LIST OF TABLES................................................................................................................vi

LIST OF FIGURES .............................................................................................................vii

Chapter I Introduction...........................................................................................................1

Chapter II Literature Review ...............................................................................................4

2.1. Overview of using vegetation index for mangrove mapping .........................................4

2.2. Key vegetation indexes for coastal mangrove mapping .................................................5

2.3. Significance of study site..............................................................................................14

Chapter III Study goals, Objectives and Methodology.......................................................15

3.1. Study goals and Objectives...........................................................................................15

3.1.1. Study goal ..................................................................................................................15

3.1.2. Study objectives.........................................................................................................15

3.2. Study scope ...................................................................................................................15

3.3. Methodology.................................................................................................................16

3.3.1. Investigation and determination of coastal mangrove species composition and its

habitat...................................................................................................................................16

3.3.2. Calculation of different types of vegetation indices used to classify mangroves......17