Articles

Biomass Estimation Using ALOS PALSAR for Identification of Lowland Forest Transition Ecosystem in Jambi Province Achmad, Eva; Jaya, I Nengah Surati; Saleh, Muhammad Buce; Kuncahyo, Budi
JURNAL MANAJEMEN HUTAN TROPIKA Vol 19, No 2 (2013)
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1389.107 KB) | DOI: 10.7226/jmht.19.2.145

Abstract

The accurate information derived from high accuracy of remote sensing imagery analyses coupled with field observation data are required to develop a sound forest management. The study is mainly emphasized on assessment of the capabilities of remote sensing imageries to identify ecosystem types within the transitional  ecosystem. Since, the predominant transition ecosystems found within the study area were secondary forest, rubber jungle, rubber, oil palm plantation, and also other land cover such as mixed plantation and shrubs,  therefore,  the models developed were focused for those ecosystem types.  Prior to any further analysis, this study was initiated  to develop the biomass estimation model using 50 m resolution of ALOS PALSAR image in transition ecosystem, Jambi Province. Biomass models were developed by analyzing the relationship between  backscatter magnitude and field biomass. Backscatter magnitude from 1 polarization images, namely HH,  HV, and one additional band of  ratio of HH/HV  were analyzed simultaneously with  field biomass. The best models established are AGB = 42,069 exp (0.510 HV) and AGB = 1,610 exp (-0.02 HV²) with R² of 52.3% and 50,8%, respectively. The models are then used to map out the biomass distribution within the transition ecosystem and to identify the factors affecting the magnitude of biomass content for all transition ecosystem types.Keywords: ALOS PALSAR, backscatter, biomass, transition ecosystemDOI: 10.7226/jtfm.19.2.145
Modeling of Forest and Land Fires Risk Level and Zone Using GIS in Kapuas Tengah Sub Basin, West Kalimantan Province Arianti, Iin; Sinukaban, Naik; Jaya, I Nengah Surati
JURNAL MANAJEMEN HUTAN TROPIKA Vol 13, No 2 (2007)
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.575 KB) | DOI: 10.7226/jmht.13.2.

Abstract

In the last 2 decades, forest and land fires in Indonesia have become a serious problem at national, regional, and even international levels. The smoke of the fires gave a negative impact on human activities and health and in turn coused economical and social loss. In addition, the haze pollution has become a serious problem internationally. This study was conducted to establish a risk model of forest and land fire in Kapuas tengah watershed, Kalimantan Barat Province. The model was based on scoring and weighting of bio-phisycal and human activity factors. Rangking method and Composite Mapping Analysis (CMA) were used to establish the model. The result showed that the accuracy of model by ranking method to determine the risk level and zone of forest and land fire was only 62,4% in Kapuas Tengah watersheed. Therefore, the model was not good enough to represent actual condition in the field. The accuracy of model using CMA method could be used to determine risk level and zone of forest and land fire. The CMA method showed that the Kapuas Tengah watershed consisted of 1,051,029.4 ha high risk, 379,307.0 ha of moderate and 195,010.7 ha of low vulnerable. The risk map can be used for early warning system to prevent forest and land fires.Keywords: forest and land fires, composite mapping analysis, rangking method, fire risk map
Landslide Detection Technique using multidate SPOT Imageries: A case study in Teradomari, Tochio and Shitada Mura, Niigata, Japan Jaya, I Nengah Surati
JURNAL MANAJEMEN HUTAN TROPIKA Vol 11, No 1 (2005)
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1125.013 KB) | DOI: 10.7226/jmht.11.1.31

Abstract

This study describes the use of multitemporal  principal component analisys (MPCA), vegetation index differencing (VIDN) and  conventional maximum likelihood classifier (MLC) for  detecting landslides.  The study found that the synthetic images derived from stable greenness, delta greenness and delta brightness of MPCA summarized the information of landslides effectively producing accuracy of 88% for Teradomari and 91% for Tochio and Shitada Mura.  The VIDN provides relatively lower accuracies than those from MPCA, i.e., only 62.5% for Teradomari and 64% for Tochio and Shitada Mura. The MLC method also provided very low user’s accuracy, i.e. 56.9% for Teradomari and 63.7% for Tochio and Shitada Mura but high producer’s accuracies, i.e. 100% for Teradomari and 98.3% for Tochio and Shitada Mura. The study also found that the landsides that could be detected should be more than the size of spatial resolution of the SPOT imagery, i.e. 10 m x 10 m. Detecting landslides using SPOT imagery is more efficient than using only ground survey, providing an efficiency of 2.7.    Keywords: Analisis komponen utama multiwaktu (Multitemporal  principal component analisys), disparitas indeks vegetasi (vegetation index differencing), metode peluang maksimum (maximum likelihood classifier), kestabilan kehijauan (stable greenness), perubahan kehijauan (delta greenness), perubahan kecerahan (delta brighntess) dan efisiensi relatif (efficiency relative)
Stakeholders Analysis of Policy-Making Process: The Case of Timber Legality Policy on Private Forest Mulyaningrum, Mulyaningrum; Kartodihardjo, Hariadi; Jaya, I Nengah Surati; Nugroho, Bramasto
JURNAL MANAJEMEN HUTAN TROPIKA Vol 19, No 2 (2013)
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (518.227 KB) | DOI: 10.7226/jmht.19.2.156

Abstract

The objective of the study is to identify and measure the relationships among stakeholders that influence the process of policy-making in defining legality of timber from private forests. The study focuses on the policy-making process of the Ministry of Forestry Regulation P.38/Menhut-II/2009 on Standard and Guidelines for Assessment of Sustainable Forest Management Performance and Timber Legality Verification of Concessionaire or of the Private Forest License Holder as the subject that has been implemented in several private forest management units as follow: Giri Mukti Wana Tirta in Lampung, Koperasi Serba Usaha APIK in Bali, Koperasi Hutan Jaya Lestari in South East Sulawesi, and Koperasi Wana Lestari Menoreh Kulonprogo in Yogyakarta. This research used a qualitative approach and the analysis method used in this research is a modified-stakeholder analysis that developed by ODA (1995), Reitbergen et al. (1998), and Mayer (2005). The stakeholder analysis shows that the interests and influences do not consider private forest farmers as primary stakeholder during  the process of policy formulation.  The strong national and international interests, supported by high authority could not be influnced by the role of the NGOs and academicians. The imbalance of responsibilities, rights, and revenues that was experienced by  farmers as the manager of private forest when started implementing the policy was more as burdens, it means implementation of the policy was more as burdens. Strong relationships between the Ministry of Forestry with the state as a core could not empower the relationship with private forest farmers. As result, policy assumptions cannot be implemented properly.Keywords: policy making process, timber legality, private forest, stakeholder.DOI: 10.7226/jtfm.19.2.156
Respons Hidrologi Akibat Deforestasi di DAS Barito Hulu, Kalimantan Tengah Anwar, Moch.; Pawitan, Hidayat; Murtilaksono, Kukuh; Jaya, I Nengah Surati
JURNAL MANAJEMEN HUTAN TROPIKA Vol 17, No 3 (2011)
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (523.096 KB) | DOI: 10.7226/jmht.17.3.119

Abstract

The landcover change, particularly deforestation, can to affect of hydrological response on watershed.Deforestation of natural forest is identical to degradation of watershed functions, such as loos of land productivitydue to increased soil erosion, runoff, evapotranspiration, and decreased of water storage. The main objective ofthis study is describes the hydrologic response on the Barito Hulu watershed due to landcover change (particularlydeforestation) by the use Soil and Water Assessment Tool (SWAT) model. The result of the study showed thatdecreasing of forest area was 9.51% from initial condition can increase water yield, evapotranspiration, and erosion as much as 8.52%, 5.94%, and 1.73 t ha-1 year-1, respectively. Otherwise, water storage decreased as much as14.46%. The landcover on 1990 with rainfall 3,117.10 mm year-1 provided water yield of approximately 1,387.13 mm, evapotranspiration of 1,152.10 mm, water storage of 577.87 mm, and erosion of about 20.52 t ha-1 year-1. The landcover on 2003 with rainfall 2,613.2 mm year-1 provided water yield of approximately1,385.50 mm, evapotranspiration of 1,121.10 mm, water storage of 106.60 mm, and erosion of about 33.15 t ha-1 year-1 with erosion tolerance of about 43.57 t ha-1 year-1.Keywords: Barito Hulu watershed, land cover change, water yield, erosion, evapotranspiration
Determining on Expectation of Reforestation Success Age at Mining Area, PT. INCO, Sorowako, South Sulawesi Puspaningsih, Nining; Murtilaksono, Kukuh; Sinukaban, Naik; Jaya, I Nengah Surati; Setiadi, Yadi
Forum Pasca Sarjana Vol 33, No 4 (2010): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.575 KB)

Abstract

Land rehabilitation of post-mining must be done with reforestation. Reforestation success in post-mining revegetation should to refer the characteristics of natural forests.  The success of the reforestation is expected to reach a climax forest ecosystem.  How much time is needed to achieve the desired condition (success reforestation), in this case described as the age of achievement expectations of reforestation success to reach a climax forest ecosystem (the basalt area).  The research is aimed to predict reforestation success age.  The study used regression analysis for determining the reforestation success age in mining area.  The measure used to determining the reforestation success age is basalt area (LBDS) of natural forests.  Mathematically it can be summarized to LBDS = f (age).  The study found the age of achievement expectations of reforestation success is 75 years.  Over the 75 years when the efforts to improve, protect and enhance forest functions are be done well, consistently, and even continued to rise, certainly reforestation success will be achieved, or even faster.   Key words: rehabilitation, mining area, reforestation, basalt area, reforestation success age
Tehnik Mendeteksi Kebakaran Hutan Melalui Citra Satelit Multiwaktu: Studi Kasus di Propinsi Sumatera Selatan dan Riau (Technique for detecting forest fire using multitemporal satellite imagery: a case in South Sumatera and Riau Provincies) Jaya, I Nengah Surati; Ikhwan, M; ., Nurhendra; Hardjoprajitno, Soedari
JURNAL MANAJEMEN HUTAN TROPIKA Vol 6, No 2 (2000)
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (198.901 KB) | DOI: 10.7226/jmht.6.2.

Abstract

This paper describes the techniques for detecting forest and land fire. Of the three change detection techniques evaluated, i.e., post-classification comparison, multitemporal principal component and direct multitemporal classification, the multitemporal principal component, specifically that was derived from variance-covariance matrix (unstandardized principal component) was recognized to be suitable in detecting changes due to forest and land fires. The study found that the delta brightness, delta greenness, stable brightness and stable greenness indices derived from unstandardized multitemporal principal component analysis effectively summarized burnt-forest information. In this study, it was shown that Landsat TM provides information of totally and moderatelly burnt logged-over forest as well as burnt bush/shrub.
Deteksi Kondisi Hutan Paska Kebakaran Melalui Citra Multisensor MOS-MESSR dan Landsat TM: Studi Kasus Di Areal Pt. Mhp Sumatera Selatan (Detection Post-Fire Forest Condition By Using Multisensor MOS-MESSR and Landsat TM: A Case Study In The Area Of Musi H Jaya, I Nengah Surati; Pujiastuti, Endang; Saleh, M. Buce
JURNAL MANAJEMEN HUTAN TROPIKA Vol 6, No 2 (2000)
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (281.298 KB) | DOI: 10.7226/jmht.6.2.

Abstract

This paper presents how the multisensor MOS-MESSR and Landsat Thematic Mapper (TM) should be manipulated as tools for detecting land cover changes. Radiometric correction using image regression was recognized as useful approach to adjust pixel brightness value of MOS-MESSR. In this study, the standardized MPC showed comparable accuracy, similar to DMC method. Using this technique forest changes due to fire as well as land clearing were well recognized. Some recommendations and suggestions for improving classification accuracy of change detection using multisensor MOS-MESSR and Landsat TM were drawn up from this study
Metode Survei Kayu Rakyat Berdasarkan Karakteristik Sosial Ekonomi dan Biofisik Kawasan: Studi Kasus di Kabupaten Bogor (Survey Method for Timber Stand of Private Forest based on Socio-economics and Biophysical Characteristics: a case study in Bogor Dis Lastini, Tien; Suhendang, Endang; Jaya, I Nengah Surati
JURNAL MANAJEMEN HUTAN TROPIKA Vol 12, No 1 (2006)
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (203.837 KB) | DOI: 10.7226/jmht.12.1.

Abstract

The objective of this research is to determine the appropriate survey method for timber stand of private forest, based on its important characteristics. There were three methods used in this research, namely, method according to basic data i.e social-economics and biophysic data; method based on image, approached by vegetation transformacy using NDVI; and method based on integration of basic data and image. The result showed that basic data method is the best method for stratification of the village (desa), as a primary sampling unit of the private forest population (district). The second ones is basic data and image-integration method and last ones is image method.Keywords : basic data, coefficient of variation, image, NDVI, private forest, survey method, timber.
Evaluation of Land Suitability for Selected Land Utilization Types Using Geographic Information System Technology: (Case Study in Bandung Basin West Java) Hashim, Ismail HJ; Jaya, I Nengah Surati; Gunawan, Iwan
JURNAL MANAJEMEN HUTAN TROPIKA Vol 8, No 2 (2002)
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1210.738 KB) | DOI: 10.7226/jmht.8.2.

Abstract

Artikel ini membahas tentang pembangunan suatu model pemetaan kesesuaian lahan di suatu wilayah pedesaan dengan menggabungkan prosedur evaluasi lahan dengan pilihan-pilihan pengambilan keputusan dalam suatu sistem informasi geograjs (SIC). Studi ini mencakup 5 tahapan : (I) mendisain unit pemetaan lahan, (2), mendiagnosa tipe-tipe penggunaan lahan yang ada dun keperluan-keperluannya, (3) menganalisis kesesuaian lahan melalui "matching" antara unit pemetaan lahan dengan tipe penggunaan lahan, (4) mengintegrasikun data ke basis data relasional (sosial-ekonomi), dun (5) penyajian peta kesesuaian lahan melalui proses ´j´oin table"antara hasil kesesuaian lahan dengan unit pemetaan lahan dalam SIC. Studi ini rnemperlihatkan bahwa sebagian besar unit pemetaan Iahan di areal studi sesuai dengan kesesuaian fisik dari penggunaan lahan (lebih dari 53% termasuk kedalam kelas kesesuaian sedang dun kesesuaian tinggi). Kesesuaian jsik yang diperoleh juga sejalan dengan kesesuaian ekonomi dimana BCR berkisar antara 1, I sampai dengan 1.38.