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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Agromet Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Sociae Polites: Majalah Ilmiah Sosial-Politik Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Pusat Inovasi Masyarakat International Journal of Science and Mathematics Education Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Idung Risdiyanto
Staff In Geophysics And Meteorology Department, Faculty Of Math And Natural Science, Bogor Agriculture University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Mathematics Social Sciences

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Habitat Suitability of Javan Gibbon in Gunung Salak, West Java (Kesesuaian Habitat Owa Jawa di Gunung Salak, Jawa Barat) Wim Ikbal; Lilik Budi Prasetyo; Idung Risdiyanto
Jurnal Manajemen Hutan Tropika Vol. 14 No. 1 (2008)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.707 KB)

Abstract

Objective of this study was to provide spatial information of Javan gibbon habitat suitability and distribution in Gunung (Mt.) Salak area for Management Authority of Mt. Halimun-Salak National Park. Informations on Javan gibbon distribution was collected through a number of survey during December 2005–June 2006 in Kawah Ratu (Parakan Salak, Sukabumi), Pondok Wisata Cangkuang (Cidahu, Sukabumi), and Bobojong Village (Bogor). Twenty two groups were identified using direct count and triangle count method from over 47 identified positions. Habitat suitability was formulated based on10 ecogeographical variables (criteria), consisting of forest type (primary forest, secondary forest, low-land forest, and submontane forest), slope (0–15%, 15–45%, >45%), and distance to non-forested land, river/water body, and road/tracks. The result showed that Mt. Salak consisted of 13.20% (17.53 km2), 26.25% (34.86 km2), 19.40% (25.77 km2), 4.16% (5.53 km2), and 20.17% (26.78 km2) of high-suitable, suitable, moderate suitable, less and low suitable level subsequently, and 12.69 km2 or 9.56% was not suitable for Javan gibbon habitat. It was also revealed that that 3 and 9 groups were living in high suitable and suitable habitat respectively; 13 groups in moderate suitable, while for each less and low suitable habitat, 2 Javan gibbon groups lived in.
WEATHER MONITORING MODEL BASED ON SATELLITE DATA(MODEL PEMANTAUAN CUACA BERDASAR PADA DATA SATELIT) Idung Risdiyanto
Agromet Vol. 22 No. 1 (2008): June 2008
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (589.665 KB) | DOI: 10.29244/j.agromet.22.1.%p

Abstract

Weather monitoring model is closely related to the problem of objective analysis of the field of meteorology. The amount of meteorological data is quite substantial and hence the processing of these data is one of primary problems is dynamic meteorology. Therefore, a weather system model must consider atmospheric process, which can be built by mechanistic model rather than statistical approach. Integration of numerical model and spatial model will produce spatial weather information. It should be managed in one computerized system called as an information system for weather monitoring. The approach of the research was divided into five tasks. First task was satellite data capturing and extracting, second was development of numerical modeling based on dynamic and thermodynamic of atmospheric process, third was integration of numerical modeling and geographic information system in the spatial model, fourth was to develop graphical user interface and the fifth task was application of system in the real-world. Temporal resolution of this model is one day, however, in reality weather is temporal state of atmosphere condition that change any time. Moreover, this model only describes weather condition when data satellite on the day could be captured. Therefore, to increase the temporal resolution of this model, the input data could be added or integrated with other satellite data such as GMS satellite that has one-hour temporal resolution. Spatial resolution in this model is 50x50 kilometers square for global and 8x8 kilometers for regional area. Actually, for the spatial resolution, this model has been prepared as NOAA’s spatial resolution. This model cannot simulate vertical distribution of atmosphere, so, it does not give information about relative humidity and precipitation. If air movement in vertical area could be simulated, the dew point temperature and lighting condensation level would be known therefore the relative humidity and precipitation could be predicted.
Spatial Distribution of Dryness on Oil Palm Plantations Using Landsat image Melda Hazrina; Idung Risdiyanto
Agromet Vol. 32 No. 2 (2018): DECEMBER 2018
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1279.765 KB) | DOI: 10.29244/j.agromet.32.2.51-61

Abstract

Peatland in Riau is commonly utilized for agricultural purposes including oil palm. This utilization has influenced on peat characteristics on the top soil leading to degraded peatland, associated drought-related fire. In this paper, we identified peat dryness from three different oil palm ages using drought indices proxy to derive information on spatial dryness. Two drought indices were used in this study including the Temperature Vegetation Dryness Index (TVDI) and the Crop Water Stress Index (CWSI). Our results showed that the TVDI value ranged from 0.46 to 0.92, while the CWSI value ranged from 0.18 to 0.80. The highest value of TVDI was found in 2-years old oil palm, and the lowest values was in the 11-years old oil palm. Our CWSI analysis confirmed this pattern that young oil palm has a high moisture stress, as many peat-soils were exposed to direct sunlight. Our findings also revealed that the TVDI and the CWSI were able to interpret soil moisture dynamics on the top layers (10 cm).
ANALYSING AND MAPPING OF LAND FIRE VULNERABILITY IN KUMPEH, MUARO JAMBI DISTRICT, JAMBI PROVINCE Farhan Kurniawan; Idung Risdiyanto; Ana Turyanti
Sociae Polites Vol. 21 No. 2 (2020): Youth Peatland Conference 2020
Publisher : Faculty of Social and Political Sciences Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/sp.v21i3.2244

Abstract

Forest and land fires have become disasters that have received international attention. Peatland as an important part of the forest poses a separate threat to the effect of carbon release and climate change. Fire prevention can be done by understanding the causes. Fire vulnerability mapping uses several parameters in its calculation, namely NDVI value, NDMI value, TWI value, accessibility distance, and community activity center. Land use and hotspot history will be the parameters compared with the results of the analysis. The calculation uses a range of values ​​from 1 to 5. The risk level class is divided into five, with the highest percentage of 20.18% at the very vulnerable level and the lowest of 19.56% at the normal level. Very vulnerable areas have the highest number of hotspot points at 268 points while the lowest number of hotspot points is in the safe class of 23 points. Most areas with high vulnerability are found in agriculture and plantation areas. The model used in this fire vulnerability map can be said to have a pretty good correlation. Keywords: accessibility distance, forest fires, hotspot, land use, peatland
VALUASI JUMLAH AIR DI EKOSISTEM LAHAN GAMBUT DENGAN DATA LANDSAT 8 OLI/TIRS (WATER CONTENT VALUATION IN PEATLAND ECOSYSTEM BY USING LANDSAT 8 OLI/TIRS) Idung Risdiyanto; Alan Nur Wahid
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 14 No. 1 Juni 2017
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1024.415 KB) | DOI: 10.30536/j.pjpdcd.2017.v14.a2592

Abstract

The water content of peatland ecosystems stored as gasses in the air and as liquid in the peat soil and vegetation. The presence of water was influential to the value of spectral radians received by satellite sensors. Objective of study were develop empirical model to be applied in the Landsat 8 satellite imagery interpretation to estimate water content of peatland ecosystem. Method consisted of field measurements and satellite data interpretation. Field activities aimed to obtain weather parameters such as radiation, air temperature, surface temperature, evapotranspiration (ET), relative humidity (RH), soil water content (KAT), and biomass for each land cover in peatland ecosystems. Field measurements results were used to validate the parameters derived from Landsat 8 satellite data. Water content in the air was assessed by the ET and RH, in the soil was assessed by soil heat flux (G) and in the vegetation by biomass. The results of the validation of the data field measurement with Landsat 8 showed only ET (r2 = 0.71), RH (r2 = 0.71), and biomass (r2 = 0.87) had a strong relationship, while between G and KAT had weak relationship. Conclusion of this study indicated Landsat 8 satellite data could be used to calculate the water content in the air and vegetation. Thus, estimating water content in the peatland ecosystem with satellite data can only be done on the surface. AbstrakEkosistem lahan gambut menyimpan air dalam bentuk gas di udara, dan cair dalam tanah gambut dan vegetasi. Keberadaannya mempengaruhi nilai spektral radians yang diterima oleh sensor satelit. Tujuan penelitian ini adalah untuk mendapatkan model empirik yang dapat diaplikasikan untuk interpretasi citra satelit dalam pendugaan jumlah air di ekosistem lahan gambut. Metode penelitian terdiri dari pengukuran lapangan dan interpretasi data satelit LANDSAT 8. Parameter cuaca seperti radiasi, suhu udara, suhu permukaan, evapotranspirasi (ET), kelembaban udara (RH), kadar air tanah (KAT) dan biomassa diukur di lapangan pada setiap jenis tutupan lahan. Hasil-hasil pengukuran lapangan digunakan untuk memvalidasi parameter-parameter yang diturunkan dari data satelit LANDSAT 8. Jumlah air di udara yang dinilai dari ET dan RH, jumlah air di tanah dinilai dengan laju pemanasan tanah (G) dan jumlah air di vegetasi dengan biomassa. Hasil validasi antara data lapangan dengan data LANDSAT 8 menunjukkan hanya nilai ET (r2=0,71), RH (r2=0,71), dan biomassa ((r2=0,87) mempunyai hubungan yang kuat, sedangkan nilai G tidak mempunyai hubungan yang kuat dengan KAT. Penelitian ini menyimpulkan bahwa data satelit LANDSAT 8 hanya dapat digunakan untuk menghitung jumlah air yang tersimpan di udara dan vegetasi. Oleh karena itu, pendugaan jumlah air di ekosistem lahan gambut dengan data satelit hanya dapat dilakukan di atas permukaan.
KAJIAN PEMANFAATAN DATA ALOSPALSARDALAM PEMETAAN KELEMBABAN TANAH (THE STUDY OF ALOS PALSAR DATA APPLICATION FOR SOIL MOISTURE ESTIMATION) Indah Prasasti; Ita Carolita; A. E. Ramdani; Idung Risdiyanto
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 9 No. 2 Desember 2012
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1377.16 KB)

Abstract

Pemetaan kelembaban tanah mempunyai peran penting dalam bidang hidrologi, meteorologi, dan pertanian. Oleh karena itu, pengembangan metode identifikasi kelembaban tanah yang praktis, efisien dan handal untuk areal yang luas menjadi sangat penting. Pada penelitian ini dilakukan kajian tentang identifikasi kelembaban tanah menggunakan penginderaan jauh gelombang mikro. Sebaran kelembaban tanah dapat mencerminkan karakteristik permukaan yang ada. Penelitian ini bertujuan untuk mengkaji pemanfaatan citra dua polarisasi (VV dan HH) dari data polarimetrik-ALOS PALSAR dalam pemetaan kelembaban tanah dan mengidentifikasi karakteristik hambur-balik dan konstanta dielektrik kelembaban tanah beberapa jenis penutup lahan di wilayah Kabupaten Bekasi dan sekitarnya. Kelembaban tanah (mv) diestimasi berdasarkan persamaan Top et al. (1980), yang menggunakan nilai konstanta dielektrik (ε') sebagai peubahnya, dimana konstanta dielektriknya dihitung berdasarkan persamaan yang dikembangkan oleh Dubois et al. (1995). Hasil penelitian menunjukkan bahwa data polarisasi ALOS-PALSAR diidentifikasi sebagai penduga yang sangat baik dalam memetaan kelembaban tanah. Pada kedalaman tanah 0–5 cm, rata-rata kelembaban tanah (% volume) untuk lahan bervegetasi, lahan bera, lahan terbuka, dan lahan terbangun secara berturut-turut adalah 25%, 20%, 24.9%, dan 23.7%. Pada permukaan lahan dengan kelembaban yang tinggi, nilai hambur-balik polarisasi VV lebih sensitif dibandingkan dengan polarisasi HH. Konstanta dielektrik tinggi mencerminkan kelembaban tanah yang tinggi. Kekasaran permukaan juga berpengaruh terhadap akurasi nilai estimasi kelembaban tanah. Kata Kunci: Kelembaban Tanah, SAR, ALOS-PALSAR, Polarisasi, Hambur-balik
ESTIMATION OF AIR TEMPERATURE USING REMOTE SENSING BASED ON THERMAL DIFFUSIVITY APPROACH M.Rokhis Khomarudin; Ahmad Bey; Idung Risdiyanto
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 3,(2006)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (266.877 KB) | DOI: 10.30536/j.ijreses.2006.v3.a1203

Abstract

The measurement of air temperature usually used thermometer in the meteorology or climate station under Bureau of Meteorology and Geophysics. In Indonesia, there are some limitations in air temperature measurement and then they could not provide the spatial high resolution information. The measurement of air temperature is very important for analyzing the human comfort, photosynthesis, and vegetation growth which we need saome details spatial information. However, when data were sparse, the underlying assumptions about the variation among sampled points often differed and the choice of interpolation method and parameters then became critical. Often though data may be too sparse to use any of the interpolation methods, alternate ways to derive spatially representative values of air temperature need to researched. The data that could provide spatial information are remote sensing. The objective of this research is to estimate air temperature using remote sensing data (NOAA/AVHRR and LANDSAT/TM), based on thermal diffusivity approach. The steps of this research include the calibration of surface temperature, the determination of amplitude, and the estimation of air temperature. Based on this research, the best equation to calculate surface temperature from NOAA AVHRR is Ulivieri et al equation. This equation shows the higher correlation between surface temperatures from NOAA/AVHRR and the observation in the field than the other equation. Physically, this research could estimate air temperature from satellites data, but statistically, this research has not enough significancy to describe the field observation. Keywords: physical model, temperature, remote sensing.
Penyuluhan Pemanfaatan Lahan Kosong di Desa Rawabelut, Kecamatan Sukaresmi, Kabupaten Cianjur Nada Radilla; Agung Sandi Budiman; Idung Risdiyanto
Jurnal Pusat Inovasi Masyarakat (PIM) Vol. 2 No. 3 (2020): Juni 2020
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.505 KB)

Abstract

One of the problems faced by the people of Rawabelut Village in utilizing vacant land or yards is the lack of good knowledge and skills. The existence of counseling and training activities is one of the efforts that must be done. This activity aims to increase the knowledge and skills of the people of Rawabelut Village regarding the techniques of utilizing vacant land properly, as well as increasing knowledge about the kinds of innovations that can be carried out for utilizing vacant land. The method used is counseling with two-way discussions with the community held at Rawabelut Village Hall. The implementation of the program to use the house yard is running smoothly and the community has the awareness and willingness to plant vegetable and fruit plants in their respective plots. Counseling activities carried out by describing material about verticulture methods. The people of Rawa Belut Village welcome and participate actively in every activity carried out. Keywords: Counseling, Rawabelut village, vegetable and fruit plants, verticulture, yard
Correlation Analysis Between Urban Heat Island Intensity and Temperature Criticality Value in Denpasar City Putra, I Ketut Gede Arta; Risdiyanto, Idung; Hidayat, Rahmat
Agromet Vol. 37 No. 2 (2023): DECEMBER 2023
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.37.2.66-76

Abstract

The compactness of buildings in Denpasar resulted in the formation of urban heat islands (UHI), which can be evaluated through the Urban Thermal Field Variance Index (UTFVI) and Environment Criticality Index (ECI). ECI is the ratio of land surface temperature to the Normalized Difference Vegetation Index (NDVI). It can be transformed into Temperature Criticality Value (TCV) using air temperature and Index-based Built-up Index (IBI). This study aims to identify the UHI intensity, the impact of land cover changes, and its association with the TCV. The study employs Landsat 8 imagery and field measurements data, and the findings demonstrate that the study area was mainly composed of built-up areas that had grown from 2015 to 2021. TFVI indicates the most intense UHI (>0.02) in the built-up areas, whereas the mean value of NDVI suggested a reduction in vegetation density. The density of built-up areas (IBI) had increased, while vegetation had decreased. TCV in 2015 ranged from -11.15°C.IBI to 6.42°C.IBI; 2018 between -9.96°C.IBI to 6.79°C.IBI; and 2021 between -10.84°C.IBI to 6.87°C.IBI showed that the environment had become increasingly critical from 2015 to 2021. A transect analysis revealed that more vigorous UHI intensity, denser buildings, and a more critical environment were present in urban centers compared to the suburbs. The correlation coefficient (r) between TCV and UTFVI was relatively robust (0.75–0.82), indicating that the growth of UHI intensity was associated with a more critical environment. TCV has the strongest (r=0.99) and strong correlation (r>0,80) with Built-up Index but inverse correlation with NDVI. Therefore, limiting the expansion of built-up areas and increasing vegetation could help to control the environment's criticality.
Analysis of Carbon Dioxide Emission from Forest Fires based on Fire Radiative Power in Riau Kusuma, Mochamad Afif Derma; Rohmawati, Fithriya Y; Risdiyanto, Idung
Agromet Vol. 37 No. 2 (2023): DECEMBER 2023
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.37.2.108-116

Abstract

Riau is one of the susceptible regions in Indonesia, which faces frequent land and forest fires. Fires occur in various land covers and soil types, both peat and mineral soils, which emitted huge carbon to the atmosphere. Forest fires emit greenhouse gases, including carbon dioxide (CO2). The objective of the research was to quantify CO2 from land and forest fires. The quantification emission was for 2016 – 2018 based on the fire radiant power (FRP) dataset along with the buffer methodology for assessing fire-affected land extents across different land covers. The FRP dataset we used to be only at a confidence level of 70% or higher, which represents hotspots. The results revealed large numbers of FRP focal points (> 1000) that can be identified as fires for 2016 and 2018, whereas only small numbers (121) were identified for 2017. Then we quantified the area burned of 95,396 Ha in Riau for 2016, which was double to the 2018’s area burned. Further, this burning contributed to CO2 emission equal to 313,456 tCO2 for 2016. Emission in 2017 was a relatively low as not many observed fires detected.
Co-Authors A. E. Ramdani Agung Sandi Budiman Ahmad Bey AHMAD BEY Alan Nur Wahid Albarkah, Anita Maharani Ana Turyanti Bagaskara, Muhammad Fajar Farhan Kurniawan Fithriya Yulisiasih Rohmawati Indah Prasasti Indah Prasasti, Indah Ita Carolita Ita Carolita, Ita Kusuma, Mochamad Afif Derma LILIK BUDIPRASETYO M. Rokhis Khomarudin M.Rokhis Khomarudin Maulana Aziz Melda Hazrina Nada Radilla Putra, I Ketut Gede Arta Rahmat Hidayat Rajwa Hanan Ramdani, A. E. Rohmawati, Fithriya Y Sonni Setiawan Umar, Ali Wahid, Allan Nur Wim Ikbal