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Domiri D.D.,Remote Sensing Application Center
IOP Conference Series: Earth and Environmental Science | Year: 2017

Rice crop is the most important food crop for the Asian population, especially in Indonesia. During the growth of rice plants have four main phases, namely the early planting or inundation phase, the vegetative phase, the generative phase, and bare land phase. Monitoring the condition of the rice plant needs to be conducted in order to know whether the rice plants have problems or not in its growth. Application of remote sensing technology, which uses satellite data such as Landsat 8 and others which has a spatial and temporal resolution is high enough for monitoring the condition of crops such as paddy crop in a large area. In this study has been made an algorithm for monitoring rapidly of rice growth condition using Maximum of Vegetation Index (EVI Max). The results showed that the time of early planting can be estimated if known when EVI Max occurred. The value of EVI Max and when it occured can be known by trough spatial analysis of multitemporal EVI Landsat 8 or other medium spatial resolution satellites. © Published under licence by IOP Publishing Ltd.


Trisakti B.,Remote Sensing Application Center
IOP Conference Series: Earth and Environmental Science | Year: 2017

Open green space in the urban area has aims to maintain the availability of land as a water catchment area, creating aspects of urban planning through a balance between the natural environment and the built environment that are useful for the public needs. Local governments have to make the green zone plan map and monitor the green space changes in their territory. Medium and high resolution satellite imageries have been widely utilized to map and monitor the changes of vegetation cover as an indicator of green space area. This paper describes the use of pleaides imagery to classify vegetation types and estimate vegetation cover percentage in the green zone. Vegetation cover was mapped using a combination of NDVI and blue band. Furthermore, vegetation types in the green space were classified using unsupervised and supervised (ISODATA and MLEN) methods. Vegetation types in the study area were divided into sparse vegetation, low-medium vegetation and medium-high vegetation. The classification accuracies were 97.9% and 98.9% for unsupervised and supervised method respectively. The vegetation cover percentage was determined by calculating the ratio between the vegetation type area and the green zone area. These information are useful to support green zone management activities. © Published under licence by IOP Publishing Ltd.


Sagris V.,University of Tartu | Wojda P.,European Commission - Joint Research Center Ispra | Milenov P.,Remote Sensing Application Center | Devos W.,European Commission - Joint Research Center Ispra
Journal of Environmental Management | Year: 2013

The EU Common Agricultural Policy (CAP) subsidies to farmers are administered through dedicated information systems, a part of which is the GIS-based Land Parcel Identification System (LPIS). The requirement to map and record land eligible for payments has led to a situation where the agricultural administrations have acquired a large amount of geographic data. As the geospatial community of data producers, custodians and users has grown during the last decades, so has the need to assess the quality and consistency of the LPIS towards the EU regulations on the CAP as well as for cross compliance with environmental legislation. In view of this, a LPIS Conceptual Model (LCM) is presented in this paper in order to address harmonisation and data quality needs. The ISO 19100 series standards on geoinformatics were used for LCM development, including an UML modelling approach and the handling of the quality of geographical information. This paper describes the core elements of the LCM and their integration with data supporting management of agri-environment schemes. Later, the paper shows how the LCM is used for conformity and quality checks of the member states' LPIS system; an Abstract Test Suite (ATS) for mapping the LCM model against existing system implementations was developed and tested in collaboration with several member states. © 2013 Elsevier Ltd.


Milenov P.,Remote Sensing Application Center | Milenov K.,University of Architecture
GIM International | Year: 2014

Although experts are making a considerable effort to provide a clear defi nition of high nature value farmland (HNVF), its complexity prevents the establishment of a straightforward approach to inventory and change-monitoring in such areas. The recently developed approach to generating detailed land cover information by integrating Copernicus Earth observation data with national in-situ datasets, such as the Land Parcel Identifi cation System1, enables a more rigorous description of HNVF areas, from their decomposition down to the land cover features they contain.


Domiri D.D.,Remote Sensing Application Center
34th Asian Conference on Remote Sensing 2013, ACRS 2013 | Year: 2013

The drought phenomena always occurs at paddy field of Java Island, especially in summer season. Together with flood, the drought phenomena cause decrease of rice production. This research is aimed to develop a model of land moisture (LM) estimation at agricultural land, especially for paddy field based on MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data which have reflective reflectances and thermal (LST = Land Surface Temperature) band. The result show that reflectances of 2nd channels (NIR) and rasio of Enhanced Vegetation Index (EVI) with LST (EVI/LST) have high correlations with surface soil moisture (% weight) at 0 - 20 cm depth with formula : LM = 15.9*EVI/LST - 0.934*R2 - 16.8. The model result in this research is better (has higher correlation) than model before which only used reflectances band combination. Based on the above model, land moisture can be derived spatially at the agricultural land, especially at paddy field to detect and monitor drought event.


Wiweka,Remote Sensing Application Center | Julzarika A.,Remote Sensing Application Center
34th Asian Conference on Remote Sensing 2013, ACRS 2013 | Year: 2013

Road infrastructure is the backbone of economic growth and pulse adjacent territories, as generally characteristic of the different regions in terms of natural resources will complement the deficiency with integrated activities. The existence and development of the performance capabilities should be continuously evaluated, with parameters adjusted tonnage and speed of the vehicle as well as changes in the environment, especially the movement of soil and hydrology scheme. Relational existence this way can apply remote sensing data, the SRTM XSAR and C. SAR remote sensing data and contour lines and the high point of the Indonesian topographic (RBI) maps can be interpreted a product that vertical deformation. This gives an indication of the vertical deformation as one of the eligibility requirements. In this paper carried out the integration of data fusion combined with SRTM C DEM1 XSAR and processing the high point for the manufacture of vertical deformation maps, SRTM C Combination with DEM1 XSAR acquired in 2000 and the high point of the map acquired Indonesian topographic maps in 1996. Then do the conversion to high-value and compared the results. The result is the values to be used to make vertical deformation. Of matter can be identified maximum range of + 2.5 m drop. Analysis of the object is the Way Maros-Watampone, it can be seen that the point of having a landslide. The vertical deformation has been qualified accuracy is <3σ. Results of this study can be used for surveying applications in the determination and maintenance of the potential and strength of the road.


Singh R.,Motilal Nehru National Institute of Technology | Singh A.K.,Motilal Nehru National Institute of Technology | Arya R.K.,Remote Sensing Application Center
Expert Systems | Year: 2013

Shunt active power filters have been widely used for power quality improvement. With the advancement in artificial intelligence techniques, the applications of fuzzy logic-based control systems have increased manifolds. This paper proposes a reduced rule fuzzy logic controller (FLC) in the voltage control loop of a shunt active power filter (APF), which is approximating a conventional large rule FLC. The difference between the controlled outputs of two controllers is compensated by proposed compensating factors. The dynamic response and harmonic compensation performance of proposed 4-rule approximated fuzzy logic controller (AFLC) is compared with 25-rule FLC. A three-phase shunt APF is used for harmonic and reactive power compensation. The proposed scheme is tested with randomly varying single and multiple non-linear loads. The simulation results presented under transient and steady-state conditions confirm that the proposed 4-rule AFLC efficiently approximates the 25-rule FLC. The proposed control methodology takes less computational time and computational memory as the numbers of rules are reduced significantly. © 2012 Wiley Publishing Ltd.


Trisakti B.,Remote Sensing Application Center | Hamzah R.,Remote Sensing Application Center
34th Asian Conference on Remote Sensing 2013, ACRS 2013 | Year: 2013

Forest mapping is an important activity to make forest related information that significantly used in forest degradation, climate change analysis and biomass estimation. Utilization of optical satellite data in tropical region faces cloud cover problem, therefore Synthetic Aperture Radar (SAR) data becomes one alternative solution for forest mapping in Indonesia due to free cloud cover capability. The purpose of this research is to develop a forest mapping model based on multi temporal SAR data. Multi temporal Phased Array type L-band Synthetic Aperture Radar (PALSAR) data in 2007 and 2008 year were used for forest mapping, and one year mosaic LANDSAT data in 2008 was used as references data for obtaining training sample and to verify the final forest classification result. PALSAR data processing was conducted by doing gamma naught conversion and Lee filtering. Training samples were made in forest and water area, and the statistic values (average and standard deviation) of each object were calculated. Some thresholds were created based on the average and standard deviation, and then the best threshold was selected to classify forest-non forest and water-non water area in 2008. It was assumed that forest could not change in 1-2 years period; therefore the change occurred between 2007 and 2008 was also identified and classified. The classification results of forest, water and the change were combined to get the final forest classification in 2008, and then it was visually verified with one year mosaic LANDSAT in 2008. The result shows that Forest, water and land cover change could be well classified using threshold method based on mean and standard deviation values. The forest classification result produced by multi temporal PALSAR was visually consistent with forest appearance in LANDSAT image and forest result from INCAS program, further analysis showed that the forest result had better performance than that from INCAS for separating oil palm plantation from the forest. Even there is still a difficulty to separate forest and plantation, the model is supposed to be a good alternative method for forest mapping in tropical region such as Indonesia.


Sharma A.K.,Remote Sensing Application Center | Shukla J.P.,Advanced Materials and Processes
International Journal of Earth Sciences and Engineering | Year: 2014

The Remote Sensing data combined with Geographical Information System (GIS) techniques has been proved to be very efficient in identification of groundwater potential of any area. In the present paper, Indian Remote Sensing Satellite-1D (IRS-1D), Linear Image Scanning System-III (LISS-III) data has been used to identify the groundwater prospects zones by integrating various thematic maps generated on 1:50 000 scale. These maps are integrated after assigning weight factors to the identified features in each thematic map depending upon their relevance to infiltration, and the groundwater potential zones in & around Ambikapur town, Surguja district, Chhattisgarh, India are demarcated. The area of investigation has been classified into five groundwater potentials zones. The present results show that integration of all attributes provides more accurate results in groundwater potential zones identification. © 2014 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.


Pirasteh S.,University Putra Malaysia | Pradhan B.,TU Dresden | Rizvi S.M.,Remote sensing Application Center
Arabian Journal of Geosciences | Year: 2011

In this study, a digital elevation model was usedfor hydrological study/watershed management, topography,geology, tectonic geomorphology, and morphometric analysis.Geographical information system provides a specializedset of tools for the analysis of topography, watersheds,and drainage networks that enables to interpret the tectonicactivities of an area. The drainage system maps of ZagrosMountains in southwest Iran have been produced usingmulti-temporal datasets between 1950 and 2001 to establishthe changes between geomorphic signatures and geomorphicaspect during time and to correlate them with recentneo-tectonics. This paper discusses the role of drainage forinterpreting the scenario of the tectonic processes as one ofimportant signatures. The study shows variation in drainagenetwork derived from topography maps. Thus, changes indrainage pattern, stream length, stream gradient, and thenumber of segment drainage order from 1950 to 2001indicate that Zagros Mountain has been subjected to recentneo-tectonic processes and emphasized to be a newly activezone. © Saudi Society for Geosciences 2009

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