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All Journal Forum Geografi Jurnal Ilmu Kehutanan
Beny Harjadi
Balai Penelitian Kehutanan, Solo
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science

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Monitoring Vegetation and Watershed Hydrology Condition with Satellite Imagery in East Kalimantan Harjadi, Beny
Forum Geografi Vol 14, No 1 (2000)
Publisher : Forum Geografi

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Abstract

The technical Remote Sensing and Geographic Information System (GIS) had been used to detet vegetation changing of natural forest due to management differences. The target of the study were to determine classification method of satellite imagery in operational scale so that the method can be transfered and applicable for the user. The studied was done at forest concession of PT SLJ-IV (Sumalindo Lestari Jaya-IV), Yanjung Redeb, east Kalimantan Province. Landsat TM with 7 bands and high resolution of 1994 and 1996 were used to differentiate the condition before and after cutting in 1995. The analysis of the Landsats were only in the area where the TPTI (Indonesian Selective Logging System) and TPTI (Indonesian Strip Logging System) system applied. Based on the analysis and field check, it was found that the impact of logging caused decreasing dense forest about 21,3% and inreasing secondary forest around 6,3%. The highest dynamic of each band was band first and the lowest was band second. The differences in the mean of 2 band will give a more clear appearance of the  imagery.
Characteristics of Land Resources as Foundation of Watershed Management in Sub Watershed Merawu, Serayu Harjadi, Beny
Forum Geografi Vol 18, No 2 (2004)
Publisher : Forum Geografi

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Abstract

In 2000, the area of DAS critical land in Indonesia is approximately 23,242,881 ha which consists of forest area 8,136,646 ha (35%) and non forest area 15,106,234 ha (65%). In the contrary, the fact shows that in 1989/ 1990 (the beginning of ‘Pelita’/ the five years development planning owned by the government), the area of DAS critical land in Indonesia was 13,180,000 ha only that consists of forest area 5,910,000 ha and non forest area 7,270,000 ha. The cause and its location of negative improvement of the above DAS has not been predited yet. The one of the causes is the weakness of information system on very DAS management system in the aspect of biophysical, soial, eonomical, and cultural. Therefore, it needs the improvement of DAS management which is supported by the result of research and development. The purpose of this research is to get the potency information and the possibility of sensitivity of the land resources in the frame of DAS management with biophisical land as the parameter. Sub DAS of Merawu (21,860 Ha) isas one of the parts of ‘bulu’ DAS Serayu with stream flow minimum 0,81 m3/second and maximum 108 m3/second. The sub DAS of Merawu as the part of ‘bulu’ Serayu has the type of climate A and B with annual rainfall approximatelly >2,000 mm and it can support everything in the stream flow of in order to prevent the flood. This ondition is caused by the permanent vegetation such as forest, underbrsuh or srub, tea garden, as well as multi – plantgarden that has around 40% happen in the ineptisol land, although precipitous slope and very precipitous (>25%). The technique of land conversation is good enough in its development, mainly in the dry section of the field by using ‘teras gundul’ and ‘teras bangku’ the society near Sub DAS of Merawu is densely populated, its is around 517 up to 827 persons/ square with their main profession as farmer and their income is around Rp 2.000.000 per year. Bya analysing the above DAS management, it an show that sub DAS of Merawu has the potency of water both for internal and external DAS consuming. The potency of using the land for farimng one season in length (class II, III, and IV) consists of around 50,8%. The development multy plant garden (25% area of DAS) is as the type of potential farming effort because of the diversity of both the result and time; besides it is also as the form of protection toward the effetive land. The possibility of sensitivity is too wide land which is susceptible toward the slide (land slide), mainly in the middle part of the DAS. The live dependee of land which strong enough is as the threat toward the future resoures conservation.
Aplikasi Penginderan Jauh dan Sig Untuk Penetapan Tingkat Kemampuan Penggunaan Lahan (KPL) (Studi Kasus di DAS Nawagaon Maskara, Saharanpur-India) Harjadi, Beny
Forum Geografi Vol 21, No 1 (2007): July 2007
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

The land that was increasingly crowded resulting from the inhabitants’s speeding-up pressure, required the utilisation of the land to be as efficient and as effectively as possible. For this matter must be known by the LUC (Land Use Capability) class respectively the unit of the land management, so as to be known as early as possible the obstacle factor from the land and could be done by the utilisation of the land as optimally as possible. The implementation of the LUC determination must be carried out a stage for the sake of a stage by counting LUC respectively the main factor, so as to be received by LUC-Soil, LUC-Erosion, and LUC-Slope. The next one of the three of this LUC were just counted by the value of the maximum to appoint LUC Final. LUC-Slope by being based on the Wischmeier and Smith (1978), LUC-Erosion was counted by using the quantitative MMF erosion formula (Morgan, Morgan, and Finney), and LUC-Soil by gathering the physical data the field took the form of the texture data of the land, drainage, solum and the percentage of the rock in the surface. LUC-Erosion and LUC-Soil were received by 5 LUC classes (I, II, III, IV, IV, and VI), whereas LUC-Slope was received by 7 LUC classes all of them except the V. LUC I class until IV were recommended for the agricultural crop and LUC V until VIII for the forestry crop. From 11 of Sub Watershed LUC VIII was expanded 107.54 ha to Sub Watershed Sarbar Rao and narrowest to Sub Watershed Maskara Rao (0.12 ha). On the other hand for LUC II was expanded to Sub Watershed Nawagaon Rao (1136.8 ha) and narrowest (1.51 ha) to Sub Watershed Shakumbari Rao. The location of the research in Sub Watershed Nawagaon Rao Mascara the Saharanpur city, India, with the location goegrafis from 30 o 09’ 00" N - 30o 21’ 00" N and longitude 77 o 34’ 00" E - 77 o 51’ 00" E, widely the Watershed whole 205.94 km2 or 20594.49 ha. The analysis of the image satelit with IRS (Indian Remote Sensing) LISS IV in January 2005, the analysis of three dimensions with DEM SRTM, and the map of the topography of the sheet 53 F/11, 53 F/12, 53 F/15 and 53 F/16. The aim of the research of determining the LUC class by counting each one of LUC-Soil, LUC-Erosion, and LUC-Slope. The use of the land in the Nawagaon Maskara Rao Watershed in part: Wheat super (969,26), normal Wheat (2753.7 ha), the Orchard (2103.2 ha), the Forest was rather close (3930.5 ha), the Forest was open (3352.1 ha), Scrub (168.62 ha), Brush rocky (658.56 ha), and Open land (1814.8 ha). Was based on results of this research recomendation for LUC VIII was only for the protected forest that might not be touched or produced.
Monitoring dan Evaluasi Daerah Aliran Sungai dengan Penginderaan Jauh dan Sistem Informasi Geografis Harjadi, Beny
Forum Geografi Vol 23, No 2 (2009): December 2009
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v23i2.5007

Abstract

The characteristics of the landcover of a territory were really influenced by the condition biophysical and social his community’s economics. To the territory with the high rainfall had a rare population, the pattern of the landcover was more dominant to the annual crop, conversely to the high rainfall territory had a solid population the pattern of the land cover was more dominant in crops. Whereas to the dry territory (low rain) with the rare inhabitants, the pattern of his land cover was dominated the meadow and the crop kept dry. The requirement would the latest data, the high accuracy, to the area that was wide to monitor the change in one unity of the management of watershed. This research aimed at studying the application of remote sensing (RS) and the geographical information system (GIS) to monitoring and the evaluation of watershed. Physical conditions for the land that was dominated by the land form of the mountainous land and hills with the slope that was steep until precipitous, caused the territory around Grindulu Sub Watershed the potential would the occurrence of the landslide. This landslide incident was also supported by the rock situation that has begun to go mouldy resulting from the disintegration by the hot influence and rain as well as decomposition. Although having some areas of the land that was dominated the bare-rock and the rock-outcrop, but because the land cover was relatively dense in the area of mountains and hills then year round the Grindulu river had not been dry.
Critical Land Detection using Remote Sensing Device and Geographic Information (Case Study of Critical Land Basic of Catchments Area, Alang, Wonogiri) Harjadi, Beny
Forum Geografi Vol 19, No 1 (2005): July 2005
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v19i1.4567

Abstract

Work criteria and indicator of Catchments Area need to be determined because the success and the failure of cultivating Catchments Area can be monitored and evaluated through the determined criteria. Criteria Indicators in utilizing land, one of them is determined based on the erosion index and the ability of utilizing land, for analyzing the land critical level. However, the determination of identification and classification of land critical level has not been determined; as a result the measurement of how wide the real critical land is always changed all the year. In this study, it will be tried a formula to determine the land critical/eve/ with various criteria such as: Class KPL (Ability of Utilizing Land) and the difference of the erosion tolerance value with the great of the erosion compared with land critical level analysis using remote sensing devices. The aim of studying land critical level detection using remote sensing tool and Geographic Information System (SIG) are:1. The backwards and the advantages of critical and analysis method2. Remote Sensing Method for critical and classification3. Critical/and surveyed method in the field (SIG) Collecting and analyzing data can be found from the field survey and interpretation of satellite image visually and using computer. The collected data are analyzed as:a. Comparing the efficiency level and affectivity of collecting biophysical data through field survey, sky photo interpretation, and satellite image analysis.b. Comparing the efficiency level and affectivity of land critical level data that are found from the result of KPL with the result of the measurement of the erosion difference and erosion tolerance.
Terrain Characterization and Soil Erosion Risk Assessment for Watershed Prioritization Using Remote Sensing and GIS (A case study of Nawagaon Maskara Rao Watershed, Saharanpur, India) Harjadi, Beny
Forum Geografi Vol 23, No 1 (2009): July 2009
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v23i1.5001

Abstract

Soil erosion is crucial problem in India where more than 70% of land in degraded. This study is to establish conservation priorities of the sub watersheds across the entire terrain, and suggest suitable conservation measures. Soil conservation practices are not only from erosion data both qualitative SES (Soil Erosion Status) model and quantitative MMF (Morgan, Morgan and Finney) model erosion, but we have to consider LCC (Land Capability Classification) and LULC (Land Use Land Cover). Study demonstrated the use of RS (Remote Sensing) and GIS (Geographic Information System) in soil erosion risk assessment by deriving soil and vegetation parameters in the erosion models. Sub-watersheds were prioritized based on average soil loss and the area falls under various erosion risk classes for conservation planning. The annual rate of soil loss based on MMF model was classified into five soil erosion risk classes for soil conservation measures. From 11 sub watersheds, for the first priority of the watershed is catchment with the small area and the steep slope. Recommendation for steep areas (classes VI, VII, and VIII) land use allocation should be made to maintain forest functions.
Monitoring Vegetation and Watershed Hydrology Condition with Satellite Imagery in East Kalimantan Harjadi, Beny
Forum Geografi Vol 14, No 1 (2000)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v14i1.449

Abstract

The technical Remote Sensing and Geographic Information System (GIS) had been used to detet vegetation changing of natural forest due to management differences. The target of the study were to determine classification method of satellite imagery in operational scale so that the method can be transfered and applicable for the user. The studied was done at forest concession of PT SLJ-IV (Sumalindo Lestari Jaya-IV), Yanjung Redeb, east Kalimantan Province. Landsat TM with 7 bands and high resolution of 1994 and 1996 were used to differentiate the condition before and after cutting in 1995. The analysis of the Landsats were only in the area where the TPTI (Indonesian Selective Logging System) and TPTI (Indonesian Strip Logging System) system applied. Based on the analysis and field check, it was found that the impact of logging caused decreasing dense forest about 21,3% and inreasing secondary forest around 6,3%. The highest dynamic of each band was band first and the lowest was band second. The differences in the mean of 2 band will give a more clear appearance of the  imagery.
Monitoring Penutupan Lahan di DAS Grindulu dengan Metode Penginderaan Jauh dan Sistem Informasi Geografis Harjadi, Beny
Forum Geografi Vol 24, No 1 (2010): July 2010
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v24i1.5017

Abstract

Catchments area can be analyzed as management system. Catchments area acquire input and it processed by the system to produce output. Land covers in catchments area are closely related to land use pattern and to management system. Land use changes to building area, agriculture and another activity are related to anthropological characters effected by change in function from vegetated land to unvegetated land. This condition have negative influences to the condition of carchment area. The damaged level of catchment area can be reflected by flood susceptibility, droughness, erosion and sedimentation, related impact onsite and offsite, so it is need a comprehensive management system from up land to low land river. To give information of land use in catchments area it needs accurate data about land cover in wide range. Remote sensing and Geographic Information System (GIS) are applicable to monitor land coverage of management catchments area. The aim of this paper is to analyze land cover using remote sensing and GIS to catchments area monitoring and evaluation. Land use in watershed connection with the pattern of nature resources by the community and the management of watershed. Total area of land use Grindulu watershed was 65.539 ha. From the map of land use could be seen that the spreading of the equitable meeting forest from the upstream to lower, and most property of the people. Land use became 8 classes, that is: Agroforestry (20%), Open Land (12%), Rare Forest (1%), Dense Forest (29%), Village (34%), Paddy (0.4%), River (0.2%), and Field (3%).
Aplikasi Penginderaan Jauh dan SIG dalam Penilaian Potensi Erosi Permukaan secara Kualitatif di Daerah Tangkapan Waduk Kedung Ombo Miardini, Arina; Harjadi, Beny
Forum Geografi Vol 25, No 2 (2011): December 2011
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v25i2.5042

Abstract

The purpose of this study was to determine the potential erosion qualitatively by using SES by using Remote Sensing and Geographic Information Systems in Kedung Ombo’s catchment area so it can be determined which areas of priority should be conserved. The method used is qualitatively analyses through SES method (Soil Erosion Status).) Which is calculated based on five parameters are: slope direction (aspect), slope (slope gradient), the density of the river (drainage density), soil type (Soil types), and land use (landuse/landcover). The result shows that DTW Kedung Ombo has three classes of erosion, which is very low, low and medium. Amounted to 41179.08 ha or 71.31% of the total DTW Kedung Ombo erosion potential is still relatively mild, 13956.01 ha (24.17%), erosion potential is very low and 2608.95 ha (4:52%) were classified as potential erosion.
Climate Change Vulnerability Analysis of Baluran National Park Harjadi, Beny
Forum Geografi Vol 30, No 2 (2016): December 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v30i2.1000

Abstract

Every ecosystem has a different level of susceptibility to environmental disturbances it receives, both from natural factors or anthropogenic disturbance. National Park (NP) Baluran is one national park that has a representation of a complete ecosystem that includes upland forest ecosystems, lowland forests, coastal forests, mangroves, savanna and evergreen forest. The objective of this study is to get a formula calculation of vulnerability analysis of constant and dynamic factors. Baluran NP vulnerability assessment to climate change done by looking at the dynamic and fixed factors. Vulnerability remains a vulnerability factor to the condition of the original (control), whereas vulnerability is the vulnerability of the dynamic change factors which affected the condition from the outside. Constant Vulnerability (CV) in  Baluran NP dominated resistant conditions (61%), meaning that the geomorphology and other fixed factors (slope and slope direction/aspect, then the condition in Baluran NP sufficiently resilient to climate change. Dynamic Vulnerability (DV) is the vulnerability of an area or areas that change because of pressure from external factors. DV is influenced by climatic factors (WI = Wetness Index), soil (SBI = Soil Brightness Index), and vegetation (GI = Greenness Index). DV in  Baluran NP from 1999 to 2010 shifted from the original category of being (84.76%) and shifted to the susceptible (59.88%).  The role of remote sensing for the analysis of raster digital system, while the geographic information system to display the results of cartographic maps.
Co-Authors Arina Miardini, Arina