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All Journal Jurnal Sylva Lestari Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
Kamarudin, Norizah
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Energy Environmental Science Materials Science & Nanotechnology

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SPATIAL PATTERN OF URBAN HEAT SIGNATURE AND ITS IMPACT ON PAMOYANAN VILLAGE, CIANJUR DISTRICT Sunukanto, V S; Semedi, Jarot Mulyo; Ash Shidiq, Iqbal Putut; Kamarudin, Norizah; Wibowo, Adi
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 6, No. 2
Publisher : UI Scholars Hub

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Abstract

According to the World Bank's Climate Change Knowledge Portal in 2020, the increase in annual temperature in Indonesia, which tends to rise by 0.3°C, is consistent with the Urban Heat phenomenon. Population growth and shifting land cover contribute to annual temperature fluctuations by reducing the amount of vegetated land. The increase in temperature in the urban environment has particular impacts on the community in terms of environmental changes. The term "Urban Heat Signature" refers to land cover in a localized urban environment with natural consequences due to solar radiation and high-low temperature values. This study was conducted in Pamoyanan Village, Cianjur District, by analyzing Land Surface Temperature images derived from Landsat OLI TIRS images, collecting air temperature measurements, and spreading field surveys about human perceptions. According to the processing results, the maximum temperature is greater than 30°C. The air temperature ranges from a maximum of 34.8°C in open land to a minimum of 27.4°C in medium vegetation. If this is the case, then the perception of human temperature significantly impacts comfort and the growing tendency for people to sweat in society.
Land Use Mapping of Areas with Intense Socio-Economic Activities using Integrated Unmanned Aerial Vehicle and Geographic Information System Utomo, As Ari Wahyu; Kamarudin, Norizah; Samdin, Zaiton; Razali, Sheriza Mohd; Ruzana Adibah
Jurnal Sylva Lestari Vol. 13 No. 3 (2025): September
Publisher : Department of Forestry, Faculty of Agriculture, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsl.v13i3.1217

Abstract

Indonesia’s national park development faces a challenging task due to human activities that threaten territorial integrity and gradually degrade the ecosystem. In Aketajawe Lolobata National Park, local communities rely heavily on park resources, resulting in observable changes in land use and land cover. However, periodic monitoring is complicated by limitations in satellite imagery availability and processing, as well as associated time and cost, making it difficult to acquire accurate information on land use. To address this, the study utilized unmanned aerial vehicle imagery to identify and map areas with intense socio-economic activities within the conservation area, aiming to understand the socio-cultural dynamics that affect conservation efforts. The land use classification involved four stages: (1) Orthomosaic image processing, (2) Image interpretation, (3) Supervised classification, and (4) Accuracy assessment. This study produced high-resolution imagery of approximately 640.21 ha with a ground sampling distance of up to 2.89 cm/pixel, which improved the accuracy of land surface interpretation. Mapping was performed at a scale of 1 cm to 2 m. The primary land use was classified into five classes: forest (436.65 ha), agriculture (168.76 ha), water body (20.87 ha), bare land (12.84 ha), and built-up (1.09 ha). The corresponding kappa coefficients were 0.78, 0.66, 0.73, 0.7, and 0.79, respectively, indicating generally reliable agreement. The present findings demonstrate the reliability and accuracy of unmanned aerial vehicle technology as a valuable tool for forest managers to map land use in critical and sensitive areas, such as national parks.  As these platforms continue to evolve, this study presents a compelling case for their use in Indonesia’s national parks. It also highlights the study's limitations and the advantages of this technology, as well as its potential applications in national park management. Keywords: geographic information systems, land use, maximum likelihood classification, socio-economic, Unmanned Aerial Vehicle
Co-Authors Adi Wibowo Ash Shidiq, Iqbal Putut Razali, Sheriza Mohd Ruzana Adibah Samdin, Zaiton Semedi, Jarot Mulyo Sunukanto, V S Utomo, As Ari Wahyu