Information Technologies for Forest Management in Vietnam


Nguyen Manh Cuong, Forest Inventory and Planning Institute, Hanoi

 

FOREWORD

Generally, in any program or project concerned with natural or environment inventory, the map is a special, important datum but no more so than in forestry. ‘Forest’ is an object that is not only often large and remote but is constantly changing. This makes forest mapping particularly difficult work.

Prior to 1979, Vietnam completed a forest map using air-photo and traditional methods for the micro level at enterprise, district, or province levels only. By 1979, with support by FAO, for the first time a forest map of the whole territory of Vietnam using remote sensing techniques had been completed after two years of work. This was an important event in the history of forest mapping in Vietnam.

Nowadays, information technologies have been broadly adopted and are employed in all mapping activities. Consequently, they are becoming effective tools for natural and forest resources management.

 

OBJECTIVES OF INFORMATION TECHNOLOGIES APPLICATION IN FORESTRY

 

METHODS USED:

To get information from remote sensing data all basic methods have been used, such as:

Depending on technical and financial issues, these methods may be used separately or integrated.

 

CLASSIFICATION FOR MAPPING

Content of the map

Content of the map

A. Land surface Area

I. Forest Cover Land

1. Natural Forest

1.1 Closed Forest Type

1.1.1 Broad leaves Forest

1.1.1.1 Evergreen Forest :

-

- Medium

- Open

Mangrove Forest :

-

- Medium & Open

Rocky Forest

1.1.1.2 Semi-Deciduous Forest :

-

- Medium , Open

1.1.1.3 Deciduous Forest :

-

- Medium , Open

1.1.2 Coniferous ( Pine )

1.1.2.1 Pure Pine Forest :

-

- Medium & Open

1.1.2.2 Mixed Pine Forest :

-

- Medium & Open

1.1.3 Bamboo Forest

1.1.3.1 Pure Bamboo Forest

1.1.3.2 Mixed Bamboo Forest

1.2 Open Forest Type

(Dipterocapus)

1.2.1 Broad Leaves Forest

1.2.2 Conifer.

2. Forest Plantation

2.1 Broad Leaves Forest

2.1.1 Evergreen Forest

2.1.1.1 No Mangrove Forest

2.1.1.2 Mangrove Forest

2.2 Conifer ( Pine ) Forest

2.3 Bamboo

II. Non Forest Land

1. Non Land Use Area

1.1 Wood Land

1.2 Savanna ( Shrub , Grass )

1.3 Mosaic

1.4 Open Rocky

1.5 Sand Area

2. Land Use

2.1 Agriculture Land Use

2.1.1 Short term Plantation

2.1.2 Long term Plantation

2.2 Grassland

2.3 Settlement

2.4 Building

2.5 Roads

B Water Bodies

I Lake, River...

II Swamp

 

The Classification is based on FAO Classification

The Forest Cover Percentage as Follow:

> 70 %
Medium 40 - 70 %
Open < 40 % .

 

TECHNICAL STEPS OF VISUAL INTERPRETATION

 

TECHNICAL STEPS OF DIGITAL IMAGE CLASSIFICATION

 

MATERIAL USED

Base maps:

Base maps used for forest mapping are topographical maps including the scales and projections as follow:

1:1.000.000

GAUSS or Geographical Projection.

1:250.000

UTM Projection.

1:100.000

UTM Projection.

1: 50.000

UTM Projection.

Remote sensing data

The satellite images Landsat-MSS, Landsat-TM, and SPOT are used as the main sources for photo-interpretation. Based on the objective and content of the map as well as map scales, one must identify which of the above satellite images is the best suited for interpretation .

The Chart of Sampling Plot

 

Forest area changes in 20 years

unit: 1.000 ha

Years

1976

1980 *

1985 *

1990

1995

Forest types

Forest cover land

- Natural forest

- F. plantation

11169,3

11076,7

92,6

10608,3

10186,0

422,3

9891,9

9308,3

583,6

9175,6

8430,7

744,9

9302,2

8252,5

1047,7

 

Forest cover percentage in 50 years

Years

F. cover (%)

  • 1943
  • 1976
  • 1990
  • 1995

  • 43,2
  • 33,7
  • 27,7
  • 28,1
  •  

    CONCLUSION:

    In tropical countries, such as Vietnam, that have multiple-forms of natural geography, natural resources and environment, their management cannot be effective without employing remote sensing applications. The improvement of natural resource and environmental management in Vietnam over the last twenty years demonstrates the importance of using new resource management technologies such as remote sensing, GIS & GPS.

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