Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Not a member yet
144 research outputs found
Sort by
KLASIFIKASI DAERAH TERCEMAR LIMBAH ACID SLUDGE MENGGUNAKAN METODE SPECTRAL MIXTURE ANALYSIS BERBASIS DATA LANDSAT 8
Full text linkThe existence waste materials in an area potentially triggers the contamination, and in turns will damages the environment particularly in the vicinity of waste disposal location. This research is aimed to analyze the acid sludge waste contaminated area using the remote sensing satellite Landsat 8. The applied methodology for analyzing the spectral of contaminated area is using spectral mixture analysis method. The result shows that the spectral analysis using this method with spectral reference based on endmember images convey the better output. This is caused by the availability of the SWIR wave length in Landsat 8. The SWIR wave length is sensitive against a highly contaminated substance like as sand and sludge, and contributes to non land contaminated substance like vegetation. Further the index classification based on images endmember shows the result which matching better to the field condition. Based on accuracy review, the result shows the classification accuracy based on this index as 62.5 %
DETEKSI GEJALA ERUPSI STROMBOLIAN GUNUNGAPI RAUNG JAWA TIMUR MENGGUNAKAN NORMALIZED THERMAL INDEX DARI DATA MODIS
Full text linkGeologically, most of Indonesia is located on subduction zone of the Pacific ring of fire that causes many emerging active volcanoes. The existence of active volcanoes has an implications that the volcanic eruption could occur at any time. This study aims to detect the precursors of volcanic eruption by using parameters NTI (Normalized Thermal Index) derived from MODIS data. Volcanic object selected is Raung Volcano in East Java, where around June to July 2015 showed an increase in volcanic activity and was erupted. Data processing method includes processing of Landsat-8 for the determination of the area of interest (caldera and active crater), MODIS image processing for NTI measurement, and analysis of spatial and temporal patterns of NTI. The results showed that the precursors of a volcanic eruption can be detected from the increasing of the NTI value in the kaldera and its value which relatively higher than in the surrounding area. NTI parameters have proven to have a good ability to distinguish between the kaldera and other objects during eruption period. In case of Raung Volcano, NTI value = 0.06 can be applied as a threshold value for the eruption of this volcano
PENGEMBANGAN MODEL EKSTRAKSI SUHU PERMUKAAN LAUT MENGGUNAKAN DATA SATELIT LANDSAT 8 STUDI KASUS: TELUK LAMPUNG
Full text linkANALISIS PEMANFAATAN DAN VALIDASI HOTSPOT VIIRS NIGHTFIRE UNTUK IDENTIFIKASI KEBAKARAN HUTAN DAN LAHAN DI INDONESIA
Full text linkSuomi National Polar-Orbiting Partnership (Suomi NPP) that was launched on 28 October 2011 was a new generation of weather satellites of NASA. It has been continuing to develop algorithms for environmental monitoring applications including fire hotspot which is a global product. Therefore, an evaluation for the specific region is necessary. This paper is aimed to validate the VIIRS Nightfire (VNF) in Indonesia, particularly in Riau Province. MODIS fire hotspot (MOD 14) nighttime was used as well as a comparison. Statistical analysis was performed to calculate the precise location of hotspots at 1 and 2 km radius buffering of the detected fire. A field survey and SPOT 5 imagery which has a higher spatial resolution. Accuracy was calculated from them all the hotspots were detected in a period of 3 weeks which is adapted to the availability of SPOT 5 imagery, by considering the analysis of single and dissolve buffering. The result shows that VNF has an average accuracy rate of 84.31%. This result can be compared with the analysis of the MODIS hotspots product. Thus, VNF was very significant to be used along with MODIS hotspots, in particular for monitoring land/ forest fires at night.
 
UJICOBA MODEL PEMETAAN LAHAN SAWAH BERBASIS PERUBAHAN PENUTUP LAHAN CITA LANDSAT MOSAIK TAHUNAN DI JAWA BARAT
No full textLand cover changes of bare land, water and vegetation can be used as a basis for paddy field mapping by using probability theory approach, that is, the probability of one area can be determined as paddy field if the changes of water, bare and vegetation in multi time series can be detected. The results of preliminary studies that have been done on Tenggamus region – Lampung showed that probability theory approach produces a mapping accuracy reaches 91.2%. Based on this results, it has been carried out the model of validation for the wide region for some districts in Province West Java. The data used in this study are multitemporal Landsat 2000-2009. Data processing methods include: 1. Unsupervised digital classification of global land cover to map the bare land, vegetation and water from Landsat images, 2. Merger of each two multitemporal land cover so that the three spatial information obtained: bare land, vegetation and water 2000-2009. The validation of land cover changes made by overlaying the three spatial information. The evaluation results conducted by the confusion matrix (error matrix) by using reference paddy field 1:50,000 scale in 2010. Results of the testing showed that the average mapping accuracy of this probability model reaches 65.5%
DETEKSI DAERAH TERCEMAR LUMPUR ASAM MENGGUNAKAN DATA LANDSAT 7 ETM BERDASARKAN SUHU PERMUKAAN TANAH
Full text linkThe high human activity in the mining and industrial areas increases the potency for hazardous and toxic waste pollution. One form of hazardous and toxic waste is acid sludge, a mixture of hydrocarbons and sulfuric acid derived from the disposal of plant wax. This study aims to detect and monitor the acid sludge contaminated area based on the Land Surface Temperature (LST) derived from Landsat 7 ETM multi-temporal data. The steps included data collection, development of LST algorithms for Landsat 7 ETM resulted from regression of Terra-MODIS LSTand Tb of Landsat data, calculation of LST using Landsat 7 ETM multi temporal data and monitoring LST in polluted areas. The distribution of the MODIS LST value can be used as a reference in determining the LST from Landsat 7 ETM by performing linear regression models with a coefficient determination of 0.84. Based on the analysis of LST, the contaminated areas have a higher temperature compare to the uncontaminated area. There is no significant relationship pattern to the land and land recovery process. This may indicate that the recovery process in that area did not significantly affect the temperature.
 
PENDUGAAN LAJU EROSI TANAH MENGGUNAKAN DATA SATELIT LANDSAT DAN SPOT
Full text linkThe damage in catchment area (DTA) and the decrease of lake water quality have been happened in Indonesia, therefore Indonesian government has created a lake management and rescue program. This research aims to study soil erosion rate estimations using Landsat TM/ETM+ and SPOT-4 temporal data in the DTA of Kerinci Lake. Data standardization was carried out to maintain the consistency of the Normalized Difference Vegetation Index (NDVI) values from some disturbances caused by the differences of acquisition time, sensor and the effect of cloud cover. NDVImin and NDVImax were extracted from 19 Landsat TM / ETM + data in 2000-2009 period, slope was extracted from the Digital Elevation Model (DEM). Spatial distributions of soil erosion rate for 2009 and 2012 in the DTA were mapped using NDVI-slope method. The generated soil erosion rates in the DTA were analysed and verified by comparing the change of the soil erosion rate to the change of surface runoff coefficient. The results showed that the soil erosion rate in the DTA had a increasing trend, which is consistent with the increasing trend of surface runoff coefficient during 2009-2012 period. The soil erosion rate in the DTA of Lake Kerinci was estimated to increase form 0,39 mm/year in 2009 to be 0,46 mm/year in 2012
PEMANFAATAN DATA PENGINDERAAN JAUH UNTUK MENDUKUNG PERENCANAAN OPERASI KEAMANAN LAUT DI LAUT ARAFURU
Full text linkLarge sea area has been patrolled continuly by Indonesia Navy need a lot of fleets to cover all Indonesian seawaters and also spend a huge of budget. Consequently, it is important to have smart strategic to optimise the fleet and to make efficient the logistic budget. The objective of this research is to apply remote sensing analysis to get sensitive timing operation on violation and security disturbance related to fishing activity. According to assumption that security threat might occur in the area where fishing activity is high that will be concentrated in the high productivity area. The chlorophyll-a concentration estimated from satellite data MODIS level-2 were received from NASA United State of America. Daily data from 2008-2013 was calculated into monthly average to get monthly variation of chlorophyll-a concentration within a year during 5 years. The analysis was done in general area and smaller unit area to understand the different variation at smaller area. The variation of chlorophyll-a in smaller unit area will differ the plan timing in patrol activity specific for those area. The data analysis resulted that phytoplankton bloom indicated occurred to May- September every year. The month of phytoplankton bloom can be suggested become a more intense patrol activity. In general, there are no different result from smaller unit area, but only small shifting of timing of bloom and changing of each different unit area
VALIDASI HOTSPOT MODIS DI WILAYAH SUMATERA DAN KALIMANTAN BERDASARKAN DATA PENGINDERAAN JAUH SPOT-4 TAHUN 2012
Full text linkForest/land fire indicator can be indicated by fire smoke and hotspot. Currently hotspot information has been widely used but its accuracy remains disputed. Therefore validated hotspot is needed as a proper effort of disaster management. This study aims to examine the accuracy of the hotspot as an indicator of forest fire/land from two data sources, namely IndoFire Map Service (IndoFire) and Fire Information for Resource Management System (FIRMS-NASA). Validation is done by comparing the data hotspot with a higher resolution image, i.e. SPOT-4 for 2012. The results show that the value of hotspot FIRMS acquired by 42% with error of 20% Commissioned 38% Omission error. Furthermore, analysis showed slightly better accuracy by 66% with 19% commission error and 18% error omission for FIRMS data compared to IndoFire ID using 46% with 19% commission error and 20% omission error. The value of confidence level of hotspot is very much affected by smoke and haze that is detected by the method of MODIS algorithm which is very sensitive to the condition of the environment. The results indicate that the accuracy of hotspot data can be considered for use in the field as a warning for forest fire, but should be considered for the data with a confidence level greater than 80%
KLASIFIKASI PENUTUP LAHAN BERBASIS OBJEK PADA DATA FOTO UAV UNTUK MENDUKUNG PENYEDIAAN INFORMASI PENGINDERAAN JAUH SKALA RINCI
Full text linkThe need of spatial information from detailed-scale remote sensing is increasing. Unmanned Aerial Vehicle or UAV become one of vehicles that is expected to obtain such information. Production of land cover spatial information using UAV photo data requires appropriate method for classification. This study proposes an object-based classification method for land cover based on Haralick texture information namely homogeneity, contrast, dissimilarity, entropy, angular second moment, mean, standard deviation, and correlation. As a comparison method, a conventional land cover-object-based classification is implemented using the same information features, there are brightness, compactness, and density. The result shows that method using texture feature in object-based classification has reached 95.22% accuracy or 17.5% difference that is much better than conventional method that reaches 77.71%