Archive for January, 2012
WAWAN GUNAWAN, under supervision of S. Basuni, A.Indrawan , L.B. Prasetyo, and H. Soedjito.
Forest restoration is urgently needed to overcome deforestation & forest degradation within forest conservation areas. This study was aimed to create a model of policy on the restoration of conservation forest areas, among others by (1) formulation of criteria of areas that urgently be restored, (2) formulation of criteria of sites or parts of conservation areas to be restored, (3) determination of reference for restoration, (4) determination of selected priority species, and (5) implemented the model.
It employed some methods including survey by interview using questionnaire, field observation and literature study. The research reveals that there were eight criterias on the aspect of importance and seven criteria of urgency for a conservation area to be restored. There were ten criterias of sites or parts of conservation area that urgently need restoration. Each of these criteria included the aspects of biology, social-economy, and culture. The dimensions of restoration references include the richness of endemic flora species and the parameter of vegetative horizontal structure taken from the ecosystems or bioregions that the same those to be restored. The species were selected in accordance with the reference species that are capable to live and grow in the sites urgently requiring restoration. According to the criteria of conservation forest area that needs urgent restoration, the area of Gunung Gede Pangrango National Park (GGPNP) is classified as Priority III. The top priority of sites or parts of area of GGPNP that need urgent restoration were commonly located in the outer parts/edges of GGPNP area that consist of submontaine ecosystem. There are 78 tree species in the natural forest vegetation types in the submontaine ecosystem of GGPNP that becomes the restoration reference. The number of selected priority species for restoration activity in GGPNP is 15 tree species. The highest priority of restoration activity/action for the GGPNP area was artificial restoration by enrichment planting with an involvement of community.
Keywords: Model, policy, restoration, conservation forest
Corresponding Author : Wawan Gunawan <email@example.com>
Bachelor Thesis : Landslide Vulnerability Analysis With Applications of Geographic Information Systems (GIS) and Remote Sensing in Bogor Regency
ARDI CHANDRA YUNIANTO. E34070072.
Under supervision of LILIK BUDI PRASETYO and OMO RUSDIANA
Bogor Regency is one of the area with high landslide potential due to rainfall. High population growth and inappropriate spatial planning in Bogor regency were factors which led to increase risk of landslide. This risk would be more aggravated when community was completely unaware of and not responsive to the potential for landslides in the area. Related to this issue, it requires a comprehensive effort to reduce the risk of landslides, such as analysis of the vulnerability to landslides. The purpose of this study was to map the distribution of landslide prone areas in Bogor Regency and to evaluate the spatial pattern based on the landslide vulnerability in Bogor Regency.
The research was conducted in July – September 2011, with study sites for observation and data collection in Bogor, West Java. The materials used in the research are the images and maps of Bogor Regency in various layers. Landslide vulnerability was analysed based on the prediction model from Indonesian Center for Agricultural Land Resources Research and Development (ICALRD 2009). The parameters used to determine the level of vulnerability were the land cover, soil type, land slope, rainfall, geological formations and the vulnerability of ground motion. Each type of map was classified based on the scores, weighted and overlaid. Bogor Regency spatial pattern was then evaluated based on the Landslide Vulnerability Map.
Analysis based on the ICALRD (2009) Model of Vulnerability Landslide Prediction resulted in three classes of vulnerability to landslides in Bogor Regency, i.e. class of low vulnerability to landslides with an area of 94.991 ha (31.7%) covering 33 districts, class of middle vulnerability to landslides with an area of 173.309 ha (57.8% ) covering 36 districts and classes of high vulnerability to landslides with an area of 31.127 ha (10.396%) covering 28 districts. Results of the evaluation of spatial pattern indicated that some designated residential areas were located in areas with high vulnerability to landslides, which was not appropriate for uses as residential area. In addition, the evaluation also found utilization of areas which violated the designated spatial plan of Bogor Regency, in which conservation and protected forest areas with the function to protect the surrounding environment from landslide had been converted to residential area, plantations, ricefield and farm.
Keywords : Landslide vulnerability, land cover, spatial pattern
Josaphat Tetuko Sri Sumantyo, Ph.D, Associate Professor
Center for Environmental Remote Sensing, Chiba University
Synthetic Aperture Radar (SAR) is a multipurpose sensor that can be operated in all-weather and day-night time. Conventionally, the SAR sensor has been operated in linear polarization with limited retrieved information. In this research, we are developing Circularly Polarized Synthetic Aperture Radar (CP-SAR) sensor for unmanned aerial vehicle and small satellite for Earth diagnosis. Comparing to linear polarized systems, the CP-SAR sensor has the advantage of compactness and low power requirement, since the transmission of CP microwave is not affected by the Faraday rotation effect in the ionosphere. In this presentation, the applications of synthetic aperture radar images for disaster monitoring by using Differential Interferometric Synthetic Aperture Radar (DInSAR) technique are also introduced.
Venue : RS Rimbawan – Fakultas Kehutanan-IPB
Date : 26 January 2012
Time : 15.30 – 17.00
Contact person : Lilik Budi Prasetyo (08121335130)
SWAT MODEL CALIBRATING DAN MODELING OF WATER AVAILABILITY, WATER DEMAND IN GUMBASA PALU IRRIGATION CATCHMENT AREA under supervision : Prof.Cecep Kusmana, Prof. Kamaruddin Abdullah & Prof. Lilik B.Prasetyo)
Nana Mulyana has just passed in dissertation defense in front of external examiner (Prof. Budi Indra Setiawan & Prof.Hidayat Pawitan) & supervisor. Part of his dissertation has been published and can be downloaded here.
I Nengah Surati Jaya1), Syaiful Daulay2), Mukalil2), Ayub Wosiri2), M Buce Saleh1), Lilik B Prasetyo 1) , Shigeru Ono3), Yoshio Away4), Masanobu Shimada5) and Kiyono Yoshiyuki6)
Affiliation: 1) Faculty of Forestry IPB, Campus IPB Darmaga, Bogor, Indonesia. E-mail: firstname.lastname@example.org 2) Graduate School of Bogor Agrucultural University; 3) Japan International Cooperation Agency of Jakarta office; 4) Gifu University, Japan 5) JAXA , Japan; 6) Forestry and Forest Product Research Institute of Japan (FFPRI)
Will be prensented by Prof. Nengah in ICSS-2012, Bali 12 January2012
This study examined the relationship between backscatter magnitude of ALOS PALSAR images having several spatial resolutions (6.25 m, 12.5 m and 50 m) and variation of vegetation and forest variables. The study was performed in secondary natural forest, Eucalyptus plantation forest, rubber plantation and oil palm estate crop in North Sumatera Province. The study was focused to examine several stand and/or plantation variables that affect the variation of backscatter provided. The stand variables examined includes crown diameter, crown height, crown density, crown closure, stand density, tree diameter,basal area tree height, leaf area index, tree biomass for every size of tree (sapling, pole and tree levels). The main purpose of this study was to identify the most significant factors that affect the magnitude of backscatter within each type of forest cover and to develop biomass estimator model using backscatter derived from ALOS PALSAR. The study found that the variation of forest or vegetation variables may affect the variation of backscatter. For secondary natural forest, the study found that the stand variables giving significant influences on backscatter variations is the biomass volume and basal areas either for resolution 50 m x 50 m or 6.25 m x 6.25 m. However, for the Eucalyptus grandis plantation forest, the magnitude of bacskcatter is strongly influenced by stand height for resolution 50 m x 50 m; and stand density and crown closure for resolution 6.25m x 6.25m. For rubber plantation, the value of backscatter is strongly influenced by basal area tree diameter size (similar to natural forest) for resolution 50 m x 50 m; and by biomass, crown area, dbh and tree spacing ratio for 12.5 m x 12.5 m. . The value of backscatter in oil palm is influenced by crown diameter for resolution 50 m x 50 m and by tree height for 12.5 x 12.5 m. The study also found that bacscatter of ALOS PALSAR can be used to estimate the biomass content of rubber and oil palm.