Published January 1, 2017 | Version v1
Journal article

Use of Geographical Information System (GIS) and remote sensing in development of urban forest types and shapes in Tangerang Selatan City

  • 1. Urban Forest and Environmental Services Division, Forest Resources Conservation and Ecotourism, Forestry Faculty Bogor Agricultural University Darmaga Campus, Bogor, 16680 (Indonesia)

Description

The development of a city could create adverse effects, such as increase in air pollutant, and decrease in amenity. One of the ways to overcome these adverse effects is developing urban forest. For maximizing the function of urban forest, the appropriate types of urban forest to be developed, should be determined first. The aims of this study were to determine the appropriate types of urban forest and to identify the shape of urban forest in Tangerang Selatan City by using GIS and remote sensing. Urban forest shape was identified on the basis of shape and distribution of land unit. The steps of the study comprised data collection, map preparation and data analysis. Landsat 8 satellite imagery was interpreted for land use/cover classification. Scoring based on air temperature, land slope, and soil types was used to determine priority of the urban forest locations. Besides that, land use planning was considered to determine the appropriate urban forest type. The results of the study show that the appropriate urban forest types are residential area urban forest, industry urban forest, and recreation urban forest. On the other hand, the appropriate urban forest shapes are strip, scattered, and clustered pattern. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1755-1315/54/1/012051

Additional details

Publishing Information

Journal Title
IOP Conference Series: Earth and Environmental Science (Online)
Journal Volume
54
Journal Issue
1
Journal Page Range
[12 p.]
ISSN
1755-1315

Conference

Title
3. International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring 2016
Dates
25-26 Oct 2016
Place
Bogor (Indonesia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52066272
Subject category
S58: GEOSCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
AIR POLLUTION; DATA ANALYSIS; FORESTS; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE; REMOTE SENSING; SATELLITES; SOILS; URBAN AREAS
Descriptors DEC
DATA PROCESSING; INFORMATION SYSTEMS; POLLUTION; PROCESSING