06.04.2013 Views

URBAN SPRAWL ON JENEBERANG DELTA OF MAKASSAR: A ...

URBAN SPRAWL ON JENEBERANG DELTA OF MAKASSAR: A ...

URBAN SPRAWL ON JENEBERANG DELTA OF MAKASSAR: A ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

<strong>URBAN</strong> <strong>SPRAWL</strong> <strong>ON</strong> <strong>JENEBERANG</strong><br />

<strong>DELTA</strong> <strong>OF</strong> <strong>MAKASSAR</strong>: A REMOTE<br />

SENSING AND GIS PERSPECTIVE<br />

By. Daniel-Useng ,Totok Prawitosari,<br />

Mahmud Achmad and Salengke. *)<br />

*) Dept. of Agricultural Engineering, Hasanuddin University


Background of the study<br />

• Makassar city is a metropolitan, waterfront city<br />

with total pop. 1.25 million (2009) and annual<br />

growth of 23 %.<br />

• The city shares the flood plain with the city of<br />

Sungguminasa on the downstream of Jeneberang<br />

river which experience regular flood from<br />

Jeneberang<br />

• The Bilibili Dam (functioned as flood regulator<br />

and municipal water supply) has been operated<br />

since 1999


Cont.<br />

• The development (conversion) of Jeneberang<br />

delta has flourished as the flood mitigation by<br />

the dam and the access road into the delta<br />

been constructed.<br />

• The function of the flood control has been<br />

doubted since the massive land slide on the<br />

upstream of the river in 2004


Land slide of Malino 2004 as threat to the<br />

downstream (Bilibili Dam and Jeneberang delta)<br />

Source: Google<br />

4


Method<br />

• Supervised classification is performed to<br />

identify the land use types of the delta<br />

(Lillesand 1994, El-Kawy 2011)<br />

• Source maps: Landsat 7TM (Sept. 1999),<br />

• Source maps: Landsat 7TM (Sept. 1999),<br />

Google Earth (Quikbird Apr. 2003 and Jul.<br />

2010)


Images of the study area<br />

01 Apr 1989 (LS4)- not used in analysis<br />

18 Apr. 2003 (Google Earth)<br />

13 Sep 1999 (LS7TM)<br />

13 Jul. 2010 (Google Earth)


Research Procedure


Results and discussion<br />

• Classification accuracy of Landsat image<br />

classification is 88% (accurate)and Kappa coeff.<br />

0.82 (Tab.1)<br />

• The land use compositions in 1999 (total 1001.24<br />

ha) are: Dryland farming and ricefield /natural<br />

vegetation 38%; Wetlnd 41% and Buidup area<br />

and residential 21% (Tab.2)<br />

• The wetland and dryland farming/rice fields<br />

continue to diminished (each left 14% in 2010)<br />

and buildup area increased up to 73% in 2010)<br />

(Tab. 3)


Table 1. The error matrix of Landsat<br />

classification over the study area (Landsat 1999)<br />

Land use<br />

Dry land and<br />

User's Acc. Comm.err. Prod. Acc. Omission err.<br />

RF 96% 4% 83% 17%<br />

Wetland 88% 12% 92% 8%<br />

Buildup 80% 20% 91% 9%<br />

Overall accuracy 88%<br />

Kappa coef. (KHAT) 0.82


Table 2. Land use change of the study area from 1999<br />

to 2003 and 2010<br />

Year<br />

1999<br />

(ha) %<br />

2003<br />

(ha) %<br />

2010<br />

(ha) %<br />

Dryland farming and<br />

ricefield 381.19 38% 347.60 35% 135.37 14%<br />

Wetland<br />

Buildup area and<br />

406.67 41% 264.48 26% 136.20 14%<br />

Residence 213.37 21% 389.16 39% 729.26 73%<br />

Total (ha) 1001.24 100% 1001.24 100% 1001.24 100%


The dynamics of land use change in the study<br />

area from 1999 to 2003 and 2010<br />

1999<br />

2003<br />

Legend:<br />

Wetlands<br />

Buildup area and residence<br />

Dryland farming and rice fields


Table 3. Land use changes in Jeneberang delta<br />

1999-2003 and 2003-2010 (ha)<br />

Year<br />

1999-<br />

2003<br />

%<br />

Change<br />

2003-<br />

2010<br />

%<br />

Change<br />

Dry land farming and rice<br />

field -33.59 -3% -212.23 -21%<br />

Wetland -142.19 -14% -128.28 -13%<br />

Buildup area and<br />

Residence 175.79 18% 340.10 34%


Future plan on the study area: The Center Point of Indonesia (CPI)


Conclusions<br />

• The availability of low-cost satellite imagery<br />

with high resolution provide solution to the<br />

monitoring of land cover change includes the<br />

urban sprawl.<br />

• The impacts of urban sprawl on the natural<br />

vegetation can be manage properly by using<br />

available satellite imageries.


Thank You for your attention

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!