Claim Missing Document
Check
Articles

Found 29 Documents
Search

Separabilitas Spektral Beberapa Jenis Pohon Menggunakan Citra Compact Airborne Spectograph Imager (CASI): Studi Kasus di Kebun Raya Bogor (Spectral Separability of several tree species using Compact Airborne Spectograph Imager (CASI): A case study in Bogo I Nengah Surati Jaya
Jurnal Manajemen Hutan Tropika Vol. 8 No. 2 (2002)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1328.649 KB)

Abstract

CASI (Compact Airborne Spectrometer Imager) data was examined to classrfi 20 tree species. The numerical taxonomy using nearest neighbor hierarchical classification method wasapplied to cluster the spectral reflectance of those species of interest. The study shows promising results expressing the abiliry of CASI image to discriminate 20 tree species. To get a better result of discriminating 20 species, the number of bands used should be more than eight bands. Using combination of less than eight bands caused some class pairs "inseparable". From the cluster analysis, the study also found that there is no relationship between botanical taxonomy of the species and their spectral reflectance. The tree species that belong to the same genus or family could not have similar spectral reflectance.
Detecting Burnt Forest Damage Using Digital SPOT Imagery I Nengah Surati Jaya
Jurnal Manajemen Hutan Tropika Vol. 6 No. 1 (2000)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (161.103 KB)

Abstract

Mendeteksi kerusakan hutan melalui metode inventarisasi terestris dan/atau potret udara membutuhkan biaya yang mahal dan memakan waktu, khususnya untuk luasan yang besar. Dalam paper ini, penulis menguraikan kegunaan dari citra SPOT dijital untuk mendeteksi kondisi hutan paska kebakaran. Evaluasi dilakukan terhadap empat kelas kerusakan hutan yang terbakar. Studi ini memperlihatkan bahwa citra SPOT multispektral dapat digunakan untuk mengklasifikasi hutan terbakar menjadi kelas dengan tingkat kerusakan ringan, sedang, berat dan sangat berat. Analisis spasial yang juga dilakukan dalam studi ini memperlihatkan bahwa sebagian besar areal studi termasuk kategori kebakaran berat dan sangat berat. Meskipun hutan-hutan bekas tebangan baru cenderung mengalami intensitas kerusakan yang tinggi, kebakaran yang terjadi tahun 1998 tidak hanya membakar hutan bekas tebangan baru tetapi juga hutan bekas tebangan tua dan hutan primer.
Tehnik Mendeteksi Kebakaran Hutan Melalui Citra Satelit Multiwaktu: Studi Kasus di Propinsi Sumatera Selatan dan Riau I Nengah Surati Jaya; Muhammad Ikhwan; N Nurhendra; Soedari Hardjoprajitno
Jurnal Manajemen Hutan Tropika Vol. 6 No. 2 (2000)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (198.901 KB)

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.
Analisis Spasial Degradasi Hutan dan Deforestasi: Studi Kasus di PT. Duta Maju Timber, Sumatera Barat (Spatial Analysis on Forest Degradation and Deforestation : a case study in Duta Maju Timber, West Sumatera) Lukman Mulyanto; I Nengah Surati Jaya
Jurnal Manajemen Hutan Tropika Vol. 10 No. 1 (2004)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (879.539 KB)

Abstract

This study develops a predictive model on forest degradation and deforestation in Duta Maju Timber concession area West Sumatera during 1999 and 2002 period. The study found that the likelihoods of the forest degradation and deforestation are significantly affected respectively by distance from villages/settlement centers (X1), distance from rivers/streams (X3), distance from public road/logging roads (X2) and the age of logged over forest (X4). The probality of forest changes was negatively correlated with the distance from the villages and the age of logged over forest. While the rest variables (X3 and X2) are positively correlated. The best predictive model obtained for predicting forest degradation and deforestation was the logistic model (y  =(10-7,64).X4-23,565.X1-6,889 . X35,505. X23,712) having considerably high coefficient correlation.Keywords:  analisis spasial, pemodelan spasial, Landsat TM ETM, deteksi perubahan, degradasi hutan dan deforestasi.
Study on Spatial and Temporal Changes of Forest Cover Due to Canal Establishment in Peat Land Area, Central Kalimantan I Nengah Surati Jaya
Jurnal Manajemen Hutan Tropika Vol. 8 No. 2 (2002)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2339.523 KB)

Abstract

Artikel ini membahas tentang dampak dari pembangunan saluran irigasi terhadap distribusi spasial hutan dun lahan terbuka di eks pengembangan lahan gambut, Kalimantan Tengah. Untuk mengetahui kondisi penutupan hutan sebelum dun sesudah pembangunan saluran, digunakan citra Landrat TM rekaman tahun 1996 (sebelum pembangunan), 1998 dun 1999 (sesudah pembangunan). Hipotesis yang digunakan adalah penurunan air tanah sebagai akibat dari pembuatan saluran telah menjadi "driving force" perusakan lahan. Indikator yang digunakan dalam penelitian ini adalahpersentase distribusi lateral dari penutupan hutan serta terbukanya lahan-lahan kosong basah maupun kering di sekitar kanal. Penelitian ini menunjukkan adanya hubungan yang sistematis antara penurunan persentase penutupan hutan dun peningkatan persentase luas lahan terbuka dengan jarak dari saluran-saluran air yang dibangun, khususnya pada areal A. B dan C dimana satuan lahannya didominasi oleh lahan gambut. Penelitian ini sekaligus menggambarkan tentang peranan CIS dalam evaluasi gejala pemicu terjadinya kerusakan lingkungan.
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 Tien Lastini; Endang Suhendang; I Nengah Surati Jaya
Jurnal Manajemen Hutan Tropika Vol. 12 No. 1 (2006)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (203.837 KB)

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.
MODEL SPASIAL DEFORESTASI DI KABUPATEN KONAWE UTARA DAN KONAWE PROVINSI SULAWESI TENGGARA Hariaji Setiawan; I Nengah Surati Jaya; Nining Puspaningsih
Media Konservasi Vol 20 No 2 (2015)
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (686.841 KB) | DOI: 10.29244/medkon.20.2.%p

Abstract

Deforestation is now becoming a global concern due to its effect on the global warming. This paper describes a dynamic change of deforestation and spatial modeling for predicting deforestation in North Konawe and Konawe Districts, Southeast Sulawesi Porvince. The study objective is to examine and analyze the variety of explanatory variables related to the process of deforestation at each deforestation typology. The data used for the analysis include Multitemporal Landsat images acquired in 1997, 2000, 2005, 2010 and 2013, the existing land cover maps published by the Ministry of Forestry, statistical data and ground truth. All district within the study area were classified into two typologies on the basis of social and economic factors by using clustering approaches, i.e., low-speed and high-speed deforestation district. To analyze model and  predictions  using  land cover  data in 2005, 2010 and 2013. The study found that the spatial model of deforestation for low-speed deforestation area is Logit (Deforestation) =– 1.0998 – 0.017031*Kpd05(population density) – 0.000095*JJ(distance from road) – 0.000419*JS(distance from the river) – 0.002057*JH05(distance from forest edge) – 0.00001*JPmk05(distance from settlements) – 0.000019*JPlc05(distance to the mixture of dry land agriculture)+0.016305*S(slope)+0.084348*E(elevation), high-speed deforestation area is Logit (Deforestation) =– 1.2361– 0.062622*Kpd05(population density) – 0.000008*JJ(distance from road) – 0.00001*JS(distance from the river) – 0.005443*JH05(distance from forest edge) – 0.000077*JPmk05(distance from settlements) – 0.000067*JPlc05(distance to the mixture of dry land agriculture)+0.469883*S(slope)+0.300739*E(elevation). The low-speed and high-speed deforestation models had ROC (Relative Operating Characteristics) of 93.48% and 97.71%, respectively. The study concludes that typology could be made on the basis of population density and the amount of dry land with wetland. The results of this study showed that there are eight explanatory variables that significantly affect deforestation probability, namely population density, distance from road, distance to the river distance from the forest edge, distance to settlement, distance to the mixture of dryland agriculture, slope, elevation and. Keywords: deforestation, konawe, logistic model, spatial model, typology
Spatial Model of Deforestation in Sumatra Islands Using Typological Approach Nurdin Sulistiyono; I Nengah Surati Jaya; Lilik Budi Prasetyo; Tatang Tiryana
Jurnal Manajemen Hutan Tropika Vol. 21 No. 3 (2015)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1117.496 KB) | DOI: 10.7226/jtfm.21.3.99

Abstract

High rate of deforestation occurred in Sumatra Islands had been allegedly triggered by various factors. This study examined how the deforestation pattern was related to the typology of the area, as well as how the deforestation is being affected by many factors such as physical, biological, and socio-economic of the local community. The objective of this study was to formulate a spatial model of deforestation based on triggering factors within each typology in Sumatra Islands.  The typology classes were developed on the basis of socio-economic factors using the standardized-euclidean distance measure and the memberships of each cluster was determined using the furthest neighbor method. The logistic regression method was used for modeling and estimating the spatial distribution of deforestation. Two deforestation typologies were distinguished in this study, namely typology 1 (regencies/cities with low deforestation rate) and typology 2 (regencies/cities with high deforestation rate). The study found that growth rate of farm households could be used to assign each regencies or cities in Sumatra Islands into their corresponding typology. The resulted spatial model of deforestation from logistic regression analysis were logit (deforestation) = 1.355 + (0.012*total of farm households) – (0.08*elevation) – (0.019*distance from road) for typology 1 and logit (deforestation) = 1.714 + (0.007*total of farm households) – (0.021*slope) – (0.051*elevation) – (0.038* distance from road) + (0.039* distance from river) for typology 2, respectively. The accuracy test of deforestation model in 2000–2006 showed overall accuracy of  68.52% (typology 1) and 74.49% (typology 2), while model of deforestation in 2006–2012 showed overall accuracy of 65.37% (typology 1) and 72.24% (typology 2), respectively.
Identifying The Key Variables for Assessing The Reclamation Success on Early Growth Vegetation in Ex-exploration of Oil and Gas Mining Areas Tirta Negara; I Nengah Surati Jaya; Cecep Kusmana; Irdika Mansur; Nitya Ade Santi
Jurnal Manajemen Hutan Tropika Vol. 26 No. 3 (2020)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.26.3.222

Abstract

This paper examines the identification of key indicators that could be used to measure the success of reclamation plants in post-exploration oil and gas mining areas. The main objective of this research was to find key indicators or variables for evaluating the level success of reclamation results in the post-mining of oil and gas area. In this study, 44 environmental variables of the physical, biological, soil, water and air indicators were analyzed from 70 field plots of 6 reclamation and 2 natural forest sites. The analysis methods included (1) cluster analysis using the Agglomerative Hierarchical Clustering method with the Ward's method, and (2) quadratic discriminant analysis. The results of the clustering analysis showed that there were some clusters due to variation of biomass, water, soil and air conditions. The three clusters developed based on water and/or air variables provided high cophenetic correlation (0.80) with low within-cluster (14.5%) and high between-cluster variations (85.5%). Based on the multicollinearity analysis, average vector difference test, variance matrix variance test, unidimensional test of each variable and quadratic discriminant function, this study found that there were 3 key indicators determining variations of the quality of the reclamation plantations within the study sites, namely, biological indicator of biomass volume (Bio_B); soil indicator of P content in the soil (Tnh_P), saturation base of soil (Tnh_Kb), Manganese (Mn) content in the soil (Tnh_Mn), Sulfur content in the soil (Tnh_S), percentage of ash in the soil (Tnh_Ab), percentage of clay in the soil (Tnh_Li), and water indicator of chloride content in the surface water (Air_Cl). The examination on four classes of the reclamation quality showed that the classes were successfully classified having excellent cross-validation error matrix with overall accuracy more than 90%.
Penggunaan Teknologi Penginderaan Jauh Satelit dan SIG untuk Menentukan Luas Hutan Kota R Assyfa El Lestari; I Nengah Surati Jaya
Jurnal Manajemen Hutan Tropika Vol. 11 No. 2 (2005)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1727.519 KB)

Abstract

This paper describes the use of satellite Remote Sensing Technology as well as Geographic Information System on determining the minimum coverage of urban forest. The study used the Oxygen demand approach of human, lifestock, industry as well as transpartotion vehicles for estimating the need of forest coverage. The existing urban forest coverage were derived from IKONOS and SPOT Satellite Imageries.The study found that the increase of the need for urban forest was dominantly affected by the significant increase of transportation verticles during the last 5 years. If the rates of the increase of population, lifestock as well as transportation vehicles does not change, the urban forest in Bogor city is only adequate up to the year 2015. This study recomends that an action should be made to anticipate the scarceness of clean air in Bogor City. The study also found that the central Bogor District has the lowest extent of urban forest.Key word: