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<strong>Classification</strong> <strong>of</strong> <strong>the</strong> <strong>vegetation</strong> <strong>in</strong> <strong>the</strong> <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> (D.R.<br />

Congo) by <strong>in</strong>tegrat<strong>in</strong>g past mission reports <strong>in</strong>to Landsat-TM and<br />

Terra Aster sensors<br />

J. Verbeken, L. De Temmerman, R. Goossens & Ph. De Maeyer<br />

Dept. <strong>of</strong> Geography, Ghent University, Ghent, Belgium<br />

J. Lavreau<br />

Royal Museum <strong>of</strong> Central Africa, Tervuren, Belgium<br />

Keywords:<br />

ABSTRACT: The <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> was <strong>of</strong>ficially listed as a World Heritage Site <strong>in</strong> 1979.<br />

In 1994, about 1,5 to 2 million people from neighbour<strong>in</strong>g countries <strong>in</strong> <strong>the</strong> east took refuge <strong>in</strong> <strong>the</strong><br />

Democratic Republic <strong>of</strong> <strong>the</strong> Congo and many <strong>of</strong> <strong>the</strong>m settled <strong>in</strong>to <strong>the</strong> prov<strong>in</strong>ce <strong>of</strong> Kivu. Due to<br />

<strong>the</strong> destructive effects <strong>the</strong> refugees had on <strong>the</strong> <strong>Park</strong>'s ecology, <strong>the</strong> <strong>Virunga</strong> <strong>National</strong> Parc was <strong>of</strong>ficially<br />

classified as a World Heritage Site <strong>in</strong> Danger <strong>in</strong> 1994.<br />

The management <strong>of</strong> <strong>the</strong> <strong>Park</strong> is aimed at total conservation, but encounters serious difficulties<br />

due to social <strong>in</strong>stability, lack <strong>of</strong> recent maps and <strong>the</strong> impenetrable character <strong>of</strong> <strong>the</strong> area. The use<br />

<strong>of</strong> remote sens<strong>in</strong>g has proven to be an effective tool to assist management <strong>in</strong> areas such as <strong>the</strong><br />

<strong>Virunga</strong> <strong>National</strong> <strong>Park</strong>.<br />

As a former colony <strong>of</strong> Belgium, a large number <strong>of</strong> scientists have been sent to numerous areas <strong>in</strong><br />

<strong>the</strong> Democratic Republic <strong>of</strong> <strong>the</strong> Congo. The results <strong>of</strong> <strong>the</strong>se missions have <strong>of</strong>ten been described<br />

<strong>in</strong> mission reports, which have proven to be quite useful for <strong>the</strong> <strong>in</strong>terpretation <strong>of</strong> remote sens<strong>in</strong>g<br />

data. Often, <strong>the</strong>se reports only gave detailed descriptions <strong>of</strong> certa<strong>in</strong> phenomena like <strong>vegetation</strong> or<br />

relief and usually conta<strong>in</strong>ed black and white photographs <strong>of</strong> <strong>the</strong>se phenomena. The fact that no<br />

detailed maps were produced dur<strong>in</strong>g <strong>the</strong>se missions did not lead to difficulties concern<strong>in</strong>g <strong>the</strong> <strong>in</strong>terpretation<br />

<strong>of</strong> satellite images. On <strong>the</strong> contrary, <strong>the</strong> descriptions <strong>of</strong> <strong>the</strong> <strong>vegetation</strong> groups <strong>in</strong><br />

<strong>the</strong>se mission reports could be translated <strong>in</strong>to a hierarchy <strong>of</strong> classes with vary<strong>in</strong>g biomass. This<br />

hierarchy <strong>of</strong> classes could easily be detected on an NDVI-image or on a false colour composite.<br />

Two <strong>vegetation</strong> maps were produced, one map show<strong>in</strong>g <strong>vegetation</strong> on <strong>the</strong> central and eastern<br />

volcanoes <strong>of</strong> <strong>the</strong> parc and one <strong>of</strong> <strong>the</strong> western volcanoes north <strong>of</strong> Lake Kivu. Vegetation polygons<br />

were also produced for later use <strong>in</strong> a GIS.<br />

Remote sens<strong>in</strong>g techniques have proven to be an effective tool to avoid <strong>in</strong>tensive or even dangerous<br />

field campaigns <strong>in</strong> areas like <strong>the</strong> <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong>. However, without <strong>the</strong> reports <strong>of</strong><br />

<strong>the</strong> past scientific field campaigns, <strong>the</strong> <strong>in</strong>terpretation <strong>of</strong> <strong>the</strong> satellite images would be virtually<br />

impossible.<br />

1 INTRODUCTION<br />

New Strategies for European Remote Sens<strong>in</strong>g, Olui� (ed.)<br />

© 2005 Millpress, Rotterdam, ISBN 90 5966 003 X<br />

The <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> is located <strong>in</strong> Central Africa, <strong>in</strong> particular <strong>in</strong> <strong>the</strong> Eastern part <strong>of</strong> <strong>the</strong> Democratic<br />

Republic <strong>of</strong> Congo, on <strong>the</strong> border with Uganda and Rwanda. It is a part <strong>of</strong> <strong>the</strong> Great African<br />

Rift Valley and is situated <strong>in</strong> <strong>the</strong> equatorial zone. In <strong>the</strong> study we also <strong>in</strong>cluded <strong>the</strong> Volcanoes<br />

<strong>National</strong> <strong>Park</strong> which spreads over a wide region between Uganda, DR Congo and Rwanda. Both<br />

parks host <strong>the</strong> only rema<strong>in</strong><strong>in</strong>g mounta<strong>in</strong> gorillas.<br />

11


Figure 1. Situation <strong>of</strong> <strong>Virunga</strong> NP and Volcanoes NP<br />

<strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> was founded <strong>in</strong> 1925 by <strong>the</strong> Belgian Colonists. The park was primarily set<br />

up for scientific research, which is very exceptional <strong>in</strong> Africa. In addition to scientific research, <strong>the</strong><br />

aim was also to protect <strong>the</strong> mounta<strong>in</strong> gorilla and <strong>the</strong> hippopotamus. In <strong>the</strong> fifties, <strong>the</strong> decision <strong>of</strong> an<br />

<strong>in</strong>tegral conservation policy was taken. Because <strong>of</strong> its outstand<strong>in</strong>g conservation value, <strong>the</strong> park became<br />

a World Heritage Site <strong>in</strong> 1979. Fifteen years later, <strong>the</strong> World Heritage Committee decided to<br />

add <strong>the</strong> site to <strong>the</strong> List <strong>of</strong> World Heritage Sites <strong>in</strong> Danger. This decision was taken because <strong>the</strong>re<br />

were (are) several threats to <strong>the</strong> park. The crisis that has gripped <strong>the</strong> Great Lakes’ Region <strong>in</strong> Africa<br />

for over ten years also had a big impact on <strong>the</strong> region’s fauna and flora. The economy was <strong>in</strong> a<br />

desolate state and people became very poor. That is why some tried to survive by poach<strong>in</strong>g and unsusta<strong>in</strong>ably<br />

harvest<strong>in</strong>g. Between 1994 and 1996, Rwandan refugees came to Congo and were settled<br />

<strong>in</strong> and around <strong>the</strong> park. This <strong>in</strong>flux had a very negative impact on <strong>the</strong> biodiversity <strong>of</strong> <strong>the</strong> park.<br />

Supplementary all parks guards were disarmed <strong>in</strong> 1996 due to lack <strong>of</strong> f<strong>in</strong>ances. Tourism ceased<br />

completely <strong>in</strong> <strong>the</strong> same year, but is nowadays fortunately start<strong>in</strong>g aga<strong>in</strong>, which implies an important<br />

source <strong>of</strong> <strong>in</strong>come for <strong>the</strong> park. Today only about 670 mounta<strong>in</strong> gorillas are left.<br />

The aim <strong>of</strong> this study is to create a <strong>vegetation</strong> map <strong>of</strong> <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> (<strong>in</strong>clusive Volcanoes<br />

<strong>National</strong> <strong>Park</strong>) by us<strong>in</strong>g remote sens<strong>in</strong>g and <strong>in</strong>tegrat<strong>in</strong>g past mission reports, <strong>in</strong> order to be<br />

able to assist <strong>in</strong> managements and monitor<strong>in</strong>g activities <strong>of</strong> <strong>the</strong> sites.<br />

2 STUDY AREA, SENSOR AND DATA SOURCES<br />

2.1 Study area<br />

The study area consists <strong>of</strong> <strong>the</strong> sou<strong>the</strong>rn part <strong>of</strong> <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> and Volcanoes <strong>National</strong> park,<br />

hereafter named respectively as <strong>the</strong> area <strong>of</strong> <strong>the</strong> Western volcanoes and <strong>the</strong> area <strong>of</strong> central and Eastern<br />

volcanoes. Both sites are volcanic regions with a mounta<strong>in</strong>ous character with lots <strong>of</strong> differences<br />

<strong>in</strong> altitude. The area <strong>of</strong> <strong>the</strong> Western volcanoes comprises two major active volcanoes, namely <strong>the</strong><br />

Nyamuragira and <strong>the</strong> Nyiragongo, <strong>the</strong> latter be<strong>in</strong>g one <strong>of</strong> <strong>the</strong> most active volcanoes <strong>in</strong> Africa. The<br />

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J. Verbeken, L. De Temmerman, R. Goossens, Ph. De Maeyer & J. Lavreau


volcanoes <strong>in</strong> <strong>the</strong> area <strong>of</strong> <strong>the</strong> Central and Eastern volcanoes are all ext<strong>in</strong>ct. The Karisimbi, Mikeno,<br />

Visoke, Saby<strong>in</strong>io, Gah<strong>in</strong>ga and Muhavura are <strong>the</strong> six major volcanoes <strong>of</strong> this area.<br />

2.2 Choice <strong>of</strong> sensor<br />

The choice <strong>of</strong> sensors is determ<strong>in</strong>ed by consider<strong>in</strong>g four basic aspects: <strong>the</strong> ground resolution, <strong>the</strong><br />

spectral resolution, <strong>the</strong> price and <strong>the</strong> stereoscopic possibilities. Our <strong>in</strong>tention was to use <strong>the</strong> Terra<br />

Aster Sensor, but unfortunately <strong>the</strong>re were no cloud free images available <strong>of</strong> <strong>the</strong>se areas. Therefore<br />

we chose to use a cloudfree Landsat TM image <strong>of</strong> 1987.<br />

2.3 Data sources<br />

From <strong>the</strong> 1930’s till <strong>the</strong> fifties, much detailed work has been carried out <strong>in</strong> DR Congo largely by<br />

Belgian scientists. For our study we used two works <strong>of</strong> this period and one from <strong>the</strong> seventies:<br />

� Overview <strong>of</strong> <strong>the</strong> Vegetation (W. Robyns, 1937) gives general <strong>in</strong>fo about <strong>the</strong> physical environment<br />

and <strong>vegetation</strong> <strong>in</strong> <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong>.<br />

� The Vegetation <strong>of</strong> Nyiragongo ( J. Lebrun, 1942) gives a very detailed description <strong>of</strong> <strong>the</strong> <strong>vegetation</strong><br />

on this volcano.<br />

� Research program about <strong>vegetation</strong> <strong>in</strong> Birunga and Kahuzi-Biega (C. Marius; 1976) resulted <strong>in</strong><br />

two <strong>vegetation</strong> maps; based on aerial photographs.<br />

Besides <strong>the</strong>se mission reports we also refer to more recent, but less detailed works.<br />

3 VEGETATION CLASSIFICATION<br />

3.1 General<br />

The mission reports were written decades before <strong>the</strong> Landsat TM scene was taken. This implies<br />

that it was not appropriate to limit our knowledge to <strong>in</strong>formation about where a certa<strong>in</strong> <strong>vegetation</strong><br />

group is located. We had to look for factors which determ<strong>in</strong>e <strong>the</strong> distribution <strong>of</strong> <strong>the</strong> <strong>vegetation</strong>, <strong>in</strong><br />

o<strong>the</strong>r words: why do particular species occur on specific spots. Answers to this question allowed us<br />

to use <strong>the</strong> old mission reports to <strong>in</strong>terpret <strong>the</strong> Landsat scene. Four ma<strong>in</strong> factors <strong>in</strong>fluence <strong>the</strong> <strong>vegetation</strong><br />

distribution: climate, relief, soil and volcanic activity.<br />

3.1.1 Climate<br />

In <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> holds an equatorial climate which implies high temperatures and high<br />

amounts <strong>of</strong> ra<strong>in</strong>fall. There are two periods <strong>of</strong> maximum ra<strong>in</strong>fall: April and October. The Landsat<br />

scene was taken <strong>in</strong> August, <strong>in</strong> <strong>the</strong> dryer period. Because <strong>of</strong> <strong>the</strong> high precipitation and temperatures,<br />

one would expect dense tropical forest for <strong>the</strong> whole area when not consider<strong>in</strong>g <strong>the</strong> o<strong>the</strong>r <strong>in</strong>fluenc<strong>in</strong>g<br />

features.<br />

3.1.2 Relief<br />

The relief <strong>in</strong>fluences <strong>the</strong> temperature and <strong>the</strong> precipitation. Temperature decreases and precipitation<br />

<strong>in</strong>creases with <strong>in</strong>creas<strong>in</strong>g altitude. The amount <strong>of</strong> ra<strong>in</strong>fall only <strong>in</strong>creases until a certa<strong>in</strong> height,<br />

which has as a consequence that <strong>the</strong>re is a zone <strong>of</strong> maximum ra<strong>in</strong>fall, here situated between 2200<br />

and 2500 meters above sea level. The annual precipitation goes up to 2400 mm.<br />

A strik<strong>in</strong>g example about how climate and relief have a comb<strong>in</strong>ed <strong>in</strong>fluence on <strong>the</strong> distribution<br />

<strong>of</strong> <strong>the</strong> <strong>vegetation</strong> can be found <strong>in</strong> <strong>the</strong> Shaheru adventive volcano. The Shaheru cone is situated on<br />

<strong>the</strong> sou<strong>the</strong>rn slopes <strong>of</strong> <strong>the</strong> Nyiragongo. Dur<strong>in</strong>g <strong>the</strong> night, <strong>the</strong> air near <strong>the</strong> summit <strong>of</strong> <strong>the</strong> Nyiragongo<br />

cools down. This colder air descends and is be<strong>in</strong>g captured by <strong>the</strong> cone <strong>of</strong> <strong>the</strong> Shaheru. Because <strong>of</strong><br />

<strong>the</strong> lower temperature <strong>vegetation</strong> groups which are normally situated higher up <strong>the</strong> mounta<strong>in</strong> appear<br />

<strong>in</strong> <strong>the</strong> cone <strong>of</strong> this small volcano.<br />

<strong>Classification</strong> <strong>of</strong> <strong>the</strong> <strong>vegetation</strong> <strong>in</strong> <strong>the</strong> <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> (D.R. Congo) by <strong>in</strong>tegrat<strong>in</strong>g past mission<br />

reports <strong>in</strong>to Landsat-TM and Terra Aster sensors<br />

13


3.1.3 Soil<br />

A third major factor that affects <strong>the</strong> <strong>vegetation</strong> distribution is soil. Because <strong>of</strong> <strong>the</strong> different periods<br />

<strong>of</strong> volcanic activities <strong>in</strong> both regions, soils <strong>in</strong> <strong>the</strong> western region are very different from soils <strong>in</strong> <strong>the</strong><br />

central and eastern area. Because <strong>the</strong> Nyiragongo and <strong>the</strong> Nyamuraghira have only recently<br />

erupted; <strong>the</strong> soils <strong>in</strong> this region are composed <strong>of</strong> relatively large particles. These soils have low water<br />

retention capacities and this is <strong>the</strong> reason why <strong>the</strong>re are so much hard leaf <strong>vegetation</strong> groups.<br />

3.1.4 Volcanic activity<br />

Because <strong>the</strong> Nyiragongo and <strong>the</strong> Nyamuraghira are still active volcanoes, <strong>the</strong>ir <strong>in</strong>fluence on <strong>the</strong><br />

landscape dur<strong>in</strong>g and after an eruption can be very impressive. The lava fields destroy large areas<br />

<strong>of</strong> <strong>vegetation</strong> where, only after a period <strong>of</strong> time, well adapted plants are able to colonize <strong>the</strong> new<br />

areas. These recent lava fields can easily be recognized on a false colour composite (fig. 2)<br />

Figure 2: False Colour Composite show<strong>in</strong>g lava fields on <strong>the</strong> Nyiragongo and <strong>the</strong> Nyamuraghira.<br />

3.2 Area <strong>of</strong> central and eastern volcanoes<br />

The most important step <strong>in</strong> <strong>the</strong> image classification was to look for <strong>the</strong> right sample pixels. Two<br />

different methods were used <strong>in</strong> this study area. We used <strong>the</strong> two detailed <strong>vegetation</strong> maps <strong>of</strong> C.<br />

Marius (1976). We used <strong>the</strong>se maps as our ground truth by look<strong>in</strong>g for areas we could recognize<br />

both on <strong>the</strong> image and on <strong>the</strong> maps. We used a maximum likelihood classification to classify all<br />

pixels <strong>of</strong> <strong>the</strong> image. The result<strong>in</strong>g map did not give good results, because its <strong>vegetation</strong> pattern<br />

could not be expla<strong>in</strong>ed by <strong>the</strong> four ma<strong>in</strong> factors that <strong>in</strong>fluence <strong>vegetation</strong>. To improve <strong>the</strong> classification,<br />

we tried to <strong>in</strong>terpret <strong>the</strong> image much more thoroughly. We assumed that changes occurred<br />

s<strong>in</strong>ce <strong>the</strong> moment <strong>the</strong> <strong>vegetation</strong> maps were published. By emphasiz<strong>in</strong>g <strong>in</strong>terpretation, <strong>the</strong> result<strong>in</strong>g<br />

classification gave good results. The f<strong>in</strong>al map (fig. 3) showed a normal distribution <strong>of</strong> <strong>the</strong> <strong>vegetation</strong><br />

<strong>in</strong> this part <strong>of</strong> <strong>the</strong> park. Vegetation becomes less dense <strong>in</strong> <strong>the</strong> higher regions; <strong>the</strong> most dense<br />

<strong>vegetation</strong> groups are located <strong>in</strong> <strong>the</strong> lowest regions <strong>of</strong> <strong>the</strong> park. Large swamps were classified <strong>in</strong> <strong>the</strong><br />

crater <strong>of</strong> <strong>the</strong> Karisimbi.<br />

14<br />

J. Verbeken, L. De Temmerman, R. Goossens, Ph. De Maeyer & J. Lavreau


3.3 Area <strong>of</strong> <strong>the</strong> western volcanoes<br />

Assign<strong>in</strong>g sample pixels <strong>in</strong> this part <strong>of</strong> <strong>the</strong> park was only based on <strong>in</strong>terpretation <strong>of</strong> <strong>the</strong> image because<br />

we did not have any detailed map <strong>of</strong> this region and because <strong>the</strong> scientific report was published<br />

<strong>in</strong> 1942. This means that changes must have occurred s<strong>in</strong>ce <strong>the</strong>n, because both volcanoes are<br />

still active.<br />

We assigned sample pixels to <strong>the</strong> <strong>vegetation</strong> classes by us<strong>in</strong>g <strong>the</strong> detailed descriptions <strong>in</strong> <strong>the</strong> report<br />

<strong>of</strong> J. Lebrun, (1942). The photographs <strong>in</strong> <strong>the</strong> report were very important <strong>in</strong> <strong>the</strong> process <strong>of</strong> <strong>in</strong>terpretation.<br />

A detailed study <strong>of</strong> <strong>the</strong>se photographs gave us <strong>in</strong>formation about where <strong>the</strong> photo was<br />

taken, about <strong>the</strong> composition <strong>of</strong> <strong>the</strong> different layers <strong>of</strong> <strong>vegetation</strong> <strong>in</strong> <strong>the</strong> group and about how dense<br />

a certa<strong>in</strong> <strong>vegetation</strong> group is. This gave us <strong>in</strong>formation about <strong>the</strong> possible reflection <strong>in</strong> <strong>the</strong> near<strong>in</strong>frared<br />

wavelengths and this <strong>in</strong>formation could be recognized on <strong>the</strong> Landsat image.<br />

The map that resulted after a maximum likelihood classification showed good results (fig. 3).<br />

There is a vertical variation <strong>of</strong> denseness <strong>in</strong> <strong>the</strong> <strong>vegetation</strong> accord<strong>in</strong>g to <strong>the</strong> height on <strong>the</strong> volcanoes.<br />

A group <strong>of</strong> very dense <strong>vegetation</strong> is situated on <strong>the</strong> slopes. From this level to <strong>the</strong> top <strong>of</strong> <strong>the</strong> mounta<strong>in</strong>s,<br />

<strong>vegetation</strong> becomes less dense. The areas <strong>of</strong> recent eruptions, which could clearly be recognized<br />

on <strong>the</strong> colour composites, were classified as coloniz<strong>in</strong>g <strong>vegetation</strong>.<br />

Figure 3. F<strong>in</strong>al map <strong>of</strong> <strong>the</strong> study area.<br />

4 CONCLUSION<br />

An unsupervised classification did not give good results. The spectral characteristics are not sufficient<br />

to dist<strong>in</strong>guish realistic <strong>vegetation</strong> classes. A supervised classification gave better results. A<br />

crucial phase <strong>in</strong> <strong>the</strong> classification is <strong>the</strong> assignment <strong>of</strong> sample pixels to <strong>the</strong> different classes. Therefore<br />

a detailed study <strong>of</strong> <strong>the</strong> region and all its crucial factors that have an <strong>in</strong>fluence <strong>of</strong> <strong>the</strong> distribution<br />

is very important. A detailed elevation model would be extremely useful as an additional layer<br />

<strong>of</strong> <strong>in</strong>formation, s<strong>in</strong>ce <strong>the</strong> distribution <strong>of</strong> <strong>the</strong> <strong>vegetation</strong> is strongly determ<strong>in</strong>ed by altitude.<br />

<strong>Classification</strong> <strong>of</strong> <strong>the</strong> <strong>vegetation</strong> <strong>in</strong> <strong>the</strong> <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> (D.R. Congo) by <strong>in</strong>tegrat<strong>in</strong>g past mission<br />

reports <strong>in</strong>to Landsat-TM and Terra Aster sensors<br />

15


After <strong>the</strong> validation and correction, <strong>the</strong> maps can by <strong>in</strong>tegrated <strong>in</strong> projects supported by<br />

UNESCO. The results <strong>of</strong> this classification and validation can by used to classify more recent images,<br />

and can than be used to study <strong>the</strong> change <strong>of</strong> <strong>the</strong> <strong>vegetation</strong> over <strong>the</strong> years. It can be a helpful<br />

tool <strong>in</strong> monitor<strong>in</strong>g and management activities.<br />

ACKNOWLEDGEMENTS<br />

Special thanks go to Christ<strong>in</strong>e Marius who helped us to improve <strong>the</strong> classification and to Johan<br />

Lavreau and Philippe Trefois <strong>of</strong> <strong>the</strong> Royal Museum <strong>of</strong> Central Africa <strong>in</strong> Tervuren who gave us access<br />

to all <strong>the</strong> necessary books and maps.<br />

REFERENCES<br />

Brandt T.S.O. & Ma<strong>the</strong>r P.M., 2001. <strong>Classification</strong> Methods for Remotely Sensed Data. Taylor & Francis<br />

Groom G.B., Fuller R.M. & Jones A.R., 1996. Contextual Correction: Techniques for Improv<strong>in</strong>g. K<strong>in</strong>g R.B.,<br />

2001.<br />

Land Cover Mapp<strong>in</strong>g Pr<strong>in</strong>ciples: a Return to Interpretation Fundamentals. Int. J. Remote Sens<strong>in</strong>g, 23, 3525-<br />

3545<br />

Land Cover Mapp<strong>in</strong>g from Remotely Sensed Images. Int. J. Remote Sens<strong>in</strong>g, 17, 69-89<br />

Lebrun J., 1936. Vegetatiebeelden der <strong>National</strong>e <strong>Park</strong>en van Belgisch Kongo: Het Nationaal Albert <strong>Park</strong>,<br />

aflever<strong>in</strong>g 3, 4 en 5: De Vegetatie van de Nyiragongo. Marcel Hayez<br />

Lillesand T.M. & Kiefer R.W., 2000. Remote Sens<strong>in</strong>g and Image Interpretation. John Wiley & Sons, Inc.<br />

Marius C., 1976. Onderzoeksprogramma over de flora en de vegetatie van de Birunga en van Kahuzi-Biega;<br />

Toelicht<strong>in</strong>g bij een vegetatiekarter<strong>in</strong>g van de Birunga en van Kahuzi Biega. K.F.K.O.<br />

Robyns W., Vegetatiebeelden der <strong>National</strong>e <strong>Park</strong>en van Belgisch Kongo: Het Nationaal Albert <strong>Park</strong>; aflever<strong>in</strong>g<br />

1 en 2 :Algemeen Overzicht der Vegetatie. Marcel Hayez<br />

Vanoverstraeten M. & Trefois P., 1993. Detectability <strong>of</strong> Land Systems by <strong>Classification</strong> from Landsat Thematic<br />

data, <strong>Virunga</strong> <strong>National</strong> <strong>Park</strong> (Zaïre) Int. J. Remote Sens<strong>in</strong>g, 14, 2857-2873<br />

16<br />

J. Verbeken, L. De Temmerman, R. Goossens, Ph. De Maeyer & J. Lavreau

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