Applying Remote Sensing And Gis To Classify Forest And Change Detection From 2000 To 2015 In Yen Nhan Thanh Hoa

ACKNOWLEDGMENT

Firstly, I would like to express my sincere gratitude to my advisor Assoc. Prof. Tran

Quang Bao for the continuous support of my study and related research, for his patience,

motivation, and immense knowledge.His guidance helped me in all the time of research and

writing of this thesis. I could not have imagined having a better advisor and mentor for my study.

My sincere thanks also goes to Mr. Thi, Mr. Khang, and Mss. Oanh in Institute for

Forest Ecology and Environment of Vietnam Forestry University. I am extremely

thankful and indebted to him for sharing expertise, and sincere and valuable guidance and

encouragement extended to me.

I would like to extend my thanks to the Education Department and Sciences,

Technology and International Cooperation Department to give me a change to study in high

quality education.

I also place on record, my sense of gratitude to one and all, who directly or indirectly,

have lent their hand in this venture.

Ha Noi, November/2015

Nguyen Thi Hoa

LIST OF CONTENTS

ACKNOWLEDGMENT

ABSTRACT

1. INTRODUCTION............................................................................................................. 1

2. GOALS AND OBJECTIVES ............................................................................................ 3

3. STUDY AREA AND DATA............................................................................................. 4

3.1. Study Area ..................................................................................................................... 4

3.2. Data Sources.................................................................................................................. 4

4. METHODOLOGY............................................................................................................ 6

4.1. Image segmentation (Step1)........................................................................................... 6

4.2. Classification and accuracy (Step2)................................................................................ 8

4.2.1. Classification............................................................................................................. 8

4.2.2. Accuracy ................................................................................................................. 10

4.3. Change Detection (Step 3)............................................................................................ 12

5. RESULTSDISCUSSION................................................................................................. 13

5.1. Object – Based Classification....................................................................................... 13

5.2. Classification ............................................................................................................... 13

5.2.1. Forest classification ................................................................................................. 13

5.2.2. Accuracy ................................................................................................................... 16

5.3. Land Cover Change ..................................................................................................... 18

5.3.1. Forest Cover ............................................................................................................ 18

5.3.2. Change Detection .................................................................................................... 21

6. RECOMENDATIONS .................................................................................................... 27

7. CONCLUSIONS AND PERSPECTIVES........................................................................ 28

7.1. Conclusions ................................................................................................................. 28

7.2. Perspective................................................................................................................... 29

8. REFERENCES................................................................................................................ 30

9. APPENDICES................................................................................................................. 32

LIST OF FIGURES

Figure 1: Location of the Yen Nhan Commune in Thanh Hoa Province................................. 4

Figure 2: Flowchart of research’s methodology..................................................................... 6

Figure 3: Objects with multi-resolution segmentation............................................................ 7

Figure 4: The distribution of sample points in the study area ............................................... 11

Figure 5: Object-based classification result (2015) .............................................................. 13

Figure 6: Land areas (ha) in 2015: Forest classification classes (a), their percentages (b) and

their proportion forest and non-forest (c)............................................................................. 15

Figure 7: Land use/land cover in Yen Nhan 2015 ................................................................ 16

Figure 8: Land cover/land use classification maps of Yen Nhan commune in year 2000, 2005,

2010 and 2015..................................................................................................................... 20

Figure 9: Land cover/land use in Yen Nhan commune from 2000 to 2015: (a) the distribution

of land cover/land use types in percent in different years, (b) the evolution of the properties of

the major land cover/land use types in hectare, (c) the magnitude of the land cover/land use

changes in ha/year for each time interval............................................................................. 21

Figure 10: Spatial distribution of land cover/land use changes in Yen Nhan commune from

2000-2015........................................................................................................................... 24