bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pseudo height anomaly over Indonesia in respect of GRACE gravity
Authors: Sarsito Dina Anggreni , Bramanto Brian , Andreas Heri , Pradipta Dhota , Syahrullah Muhammad 
Published: July 2020

Abstract
This paper presents an overview of the recent height anomaly over Indonesia region in respect of Global Geopotential Model 2008 (EGM2008) which known as the most advance Global Geopotential Model. Recent height anomaly over Indonesia computed from Gravity Recovery and Climate Experiment (GRACE) satellite mission long term static solution using Bruns’ formula with degree and order up to 180. The results indicate that the deviation between geoid undulation with pseudo height anomaly deviation vary up to 12 meters with the largest deviations occur in several zones. Further investigation still needed to deduce the causes of the high height anomaly deviation that occur in several places in Borneo, Celebes and Papua, whether it is caused by a large compression forces or any other.
Modeling vulnerability density of landslide using IFSAR DEM in Manuju and Bungaya District Gowa Regency, South Sulawesi
Authors: Johan Eden T. , Alimuddin Ilham , Azikin Busthan 
Published: July 2020

Abstract
Recently in Indonesia landslide is one of major natural disaster that claims lives and property. Therefore it is necessary to have a Landslide Vulnerability Zone Map to improve the accuracy of natural disaster risk analysis and mitigation needs by using IFSAR DEM. Generally, Gowa area contains with moderate to strong undulating topography is very often created landslide issue. Parameters are used to analyze the landslide zoning are lithology, slope, slope aspects, distance from faults, distance from river, distance from road, land cover, slope length, rainfall, soil type, and curvature. Each parameter map and landslide map were integrated to compute the value of density and landslide occurrence percent obtained in different units from each of the maps. Determination by using all parameters above showing accuracy value of 89,4% where 85% area on past landslides occurred on very high hazard zone and 12.92% occurred on high hazard zone, meanwhile selected parameter accuracy value is 98,5% where 85% area on past landslide event occurred on very high hazard zone while 12.92% occurred on high hazard zone. Parameter selection can improve the accuracy of landslide zoning on the research area.
Calculation of rice field embankment coefficient using high-resolution satellite imagery
Authors: Sutanta Heri , Gunawan Ajeng Ramdhani , Wibisono Yusuf 
Published: July 2020

Abstract
Estimating rice production is vital in ensuring economic stability. One of the critical element in the estimation is the information on the width of the rice field. The uncertainty on this aspect is exacerbated by which the rice field is calculated. The current method only considers the width of the fields, without taking into account the rice field embankment. The width of the embankment is usually between 25 cm to several meters. Neglecting the contribution of this embankment to the overall width of the rice fields can result in overestimation to the rice production. In this research, the coefficient of rice field embankment is calculated. The data used are from high-resolution satellite imagery of Pleades, SPOT-6, Worldview, and GeoEye. UAV data from rice fields in Yogyakarta was used as control data. The study area covers rice fields in Bengkulu, Jambi, Riau, Bangka Belitung, Sulawesi Tenggara, Sulawesi Barat, Sulawesi Tengah, Gorontalo, Maluku, Nusa Tenggara Timur, and Papua. Two types of digitization methods were used. The first one is a rice field without any embankment incorporated. Only road or irrigation channel wider than 2.5 meters were included. The second one is a rice field with embankment feature digitized. The coefficient of the embankment is calculated by dividing the width of the embankment with the width of rice fields without embankment. For a different location, the coefficient is different, between 1% - 3 %. Types of rice fields, satellite imagery being used, and topography affect the coefficient.
Suitability model using support vector machine for land use planning scenarios in Java Island, Indonesia
Authors: Safitri S. , Sumarto I. , Riqqi A. , Deliar A. , Norvyani D A , Taradini J. 
Published: July 2020

Abstract
Java Island has experienced rapid population growth in the past four decades. Along with population growth, human needs are also increasing. This is also driven by economic and social growth. However, land resources to meet population needs are becoming increasingly limited. Human needs change ecosystems by creating ecological pressures, such as land cover change, resource extraction and depletion, and emissions pollution. Thus, sustainable land use planning is needed to meet human needs in the future. Furthermore, It is necessary to consider the suitability of the land in land use planning. In this paper, a suitability evaluation method was developed, which synthetically considered the topographic, meteorological, ecoregion, and water supply conditions. The suitability evaluation model is developed using Support Vector Machine (SVM) to classify various designations. SVM training algorithm aims to find a hyperplane that separates the dataset into a discrete predefined number of classes in a fashion consistent with the training examples. The term optimal hyperplane is used to refer to the decision boundary that minimizes misclassifications, obtained in the training step. Model calibration and validation were performed based on the land-use status in 2016. Subsequently, the validated simulations were conducted based on the planning scenarios. This model is expected to be implemented in the short-term and long-term land planning scenarios, respectively. This study provides a synthetic suitability evaluation method for creating a land-use planning scenario, which overcomes the shortcoming of the traditional way of assigning land-use scenarios that being lack of objectivity.
As-built drawing generation of LFM building ITB using terrestrial laser scanner
Authors: Gumilar I. , Hawaari T. , Sidiq T.P , Lukmanulhakim A. 
Published: July 2020

Abstract
The LFM ITB building, which was built in 1939, needs to be renovated in some or all parts of the building without removing the existing characteristics and philosophical values. Therefore, renovations must refer to the building’s as-built drawing documents. As-built drawings can be made using Terrestrial Laser Scanner technology. TLS technology will be the main component in making the three-dimensional model of the LFM Building which will later become a reference in making as-built drawings. The purpose of this study is making 3 dimension model and as-built drawing of LFM building from TLS data.
In this research, Building LFM modeling uses data from measurements using TLS. Data is processed through a registration process to unify all data. The average value of registration errors is 0.006 meters. The noise removal process removes unused data. The modeling process is carried out to produce a solid model that represents the shape of the LFM Building in the field. The results of the three-dimensional model will be used as a reference in making as-built drawings that include floor plans, visualizations, and building pieces. The results of the registration are then validated by using a distometer for vertical distance and measuring tape for horizontal distance. Vertical distance validation has the largest value of 0.012 meters and horizontal distance has the largest value of 0.011 meters.
Determining recharge groundwater using delineation of morphological surface in Ligarmukti karst area Bogor Regency
Authors: Maria Rizka , Purwoarminta Ananta , Lestiana Hilda 
Published: July 2020

Abstract
The Ligarmukti area is one part of the Klapanunggal karst hills in Bogor Regency. This area relies on springs as the fulfillment of raw water. It is feared that the limestone mining process in this area will damage groundwater recharge areas. This research was conducted to determine groundwater catchment areas in the Ligarmukti karst area. The method used is the morphological lineament delineation analysis of SRTM imagery compiled with the results of investigations in the field. Based on the results of delineation, the SRTM image was able to detect 76 alignment patterns in the direction of N 28° - 235° E. The fracture location was mostly located at elevation 280 - 700 m. The difference in direction of the alignment pattern is not too far away, so it is interpreted that the groundwater recharge pattern in the secondary porosity is derived from an aquifer system. The main catchment zone is at an altitude of 440-700 m above sea level in the hills with limestone constituent Klapanunggal Formation. The infiltration system in this area is an autogenic recharge, ie the recharge occurs in areas with relatively homogeneous rocks in the form of karst rocks and rainwater which is directly infiltrated in the area. This condition can be seen from the fluctuation of discharge during the rainy and dry seasons. Watershed conservation must be carried out to maintain the availability of springs by minimizing the limestone mining process in hilly areas.
Geometric correction model for dual sensor pushbroom aerial camera
Authors: Monica Donna , Maryanto Ahmad , Sunarmodo Wismu , Widijatmiko Nugroho 
Published: July 2020

Abstract
Geometric correction is necessary in photogrammetry and remote sensing to avoid geometric distortions and establish relationship between image coordinate and its corresponding ground coordinate. Rigorous sensor model is one of the methods which considered the most precise and accurate for geometric correction. However, as rigorous sensor model contains many equations that depend on the actual physical properties of the sensor, the model is specialized for each sensor. In this paper, we modified a rigorous sensor model of geometric correction for pushbroom imager into geometric correction model for dual sensor pushbroom imager. The result shows that a model has been successfully obtained and can be used to geometrically correct coordinates of dual sensor pushbroom imagery.
Changes of land use monitoring within forest area
Authors: Pribadi Cherie Bhekti , Hariyanto Teguh , Kurniawan Akbar , Amriana Yessherly 
Published: July 2020

Abstract
Pasrujambe District is one of sub-districts in Lumajang Regency which has a forest area. Forests are main source of life for people who live in surrounding villages, start from farming, logging, taking firewood, gathering, and grazing their livestock in forest areas. This phenomenon cannot be avoided from use of forest land for the other land functions, both for settlements, agriculture and other regions. Therefore, it’s needed to be related to changes of land use in forest areas. In this study an evaluation of distribution and extent of land use functions in Pasrujambe District forest area was carried out using 2 (two) methods, namely object-based classification methods and interpretation methods (digitized on screen). The results show us that there are changes of land use in forest areas in 2017, such as industries, plantations, agricultures, plantations, bushes and settlements with total area of 3764.38 Ha and for agricultural land use such as lakes, grasslands and rivers with total area of 799.41 ha.
Weekly sea surface temperature from SNPP-VIIRS data using open source software
Authors: Hartuti M , Tjahjaningsih A , Effendy I , Sitorus J 
Published: July 2020

Abstract
The objective of this study is to make weekly mean sea surface temperature (SST) from SNPP-VIIRS satellite data. The data used were SST data every afternoon pass, from 13 to 19 May 2019. The data were obtained from Remote Sensing Technology and Data Center, LAPAN. From 12 samples data used showed that pixel size of each data are different, with range between 0.006737548 - 0.006858158 degree. The pixel size should be exactly the same to do data overlay. Then, the pixel size was resized become 0.00675 degree. This process was carried out using Reprojection Menu in QGIS software. The next process was calculating weekly mean SST every pixel. The mean SST was calculated only on pixels that have SST values. The calculation was not carried out on cloud, cloud shadow, land, and out of coverage data. The tolerance of coordinate position between pixels are less than 0.5 of pixel size. Weekly mean SST calculation process was executed using mean function in R software. The result of mean SST showed some possible error SST values. The errors were found in these conditions: 1) in coastal areas where possible mixed pixels of land and water 2) near cloud, where possible mixed pixel of cloud, cloud shadow, and water, 3) pixels with (extremely) high SST values near clouds. To overcome these conditions, some median type filters were applied. Therefore, weekly mean SST from SNPP-VIIRS data that smooth and minimum cloud cover can be obtained.
The estimation of soil moisture using DUBOIS model (1995) for monitoring phase growth of paddy
Authors: Nurtyawan Rian , Nur Ardianti 
Published: July 2020

Abstract
Monitoring the growth of rice in Indonesia is very important because rice is a staple food of the Indonesian people. The biggest rice producer in West Java is Indramayu. Soil moisture is one of factor in monitoring the growth of paddy. The Monitoring is carried out using SAR image, namely Radarsat-2 Quad-Polarimetric imagery. In estimating the value of soil moisture, required a dielectric constant which is obtained from the value of the Digital Number (DN) that is converted into the backscattering value (σo). The approach that used in calculating the dielectric constant is a semi-empirical approach using the Dubois model (1995). The purpose of this study is to estimate the value of soil moisture in order that it can be used in monitoring the growth phase of paddy. The rice growth phase is distinguished in the form of a graph subsequently matched with the results of field photo validation. The results of this research show a positive linear correlation between the Dubois model (1995) and field soil moisture with a level of accuracy of ± 7.202% volumetric.
Using visible spectral-index as alternative methods for identifying levels of Ganoderma Boninese infection
Authors: Wiratmoko Dhimas , Jatmiko Retnadi Heru , Yusuf M. Arif , Farrasati Rana , Prasetyo Agus Eko 
Published: July 2020

Abstract
Ganoderma boninense is a major devastating disease for oil palm. The severity level identification of Ganoderma boninense on oil palm plantation is important to support the decision making on managerial activities. There have been researches conducted about the usage of unmanned aerial photograph (UAV) on oil palm plantation, nonetheless, the utilization of digital data on the visible aerial photograph has not optimally used. This study aims to obtain alternative methods to identify the severity level of Ganoderma boninense infection with visible spectral index from a visible aerial photograph (RGB). Visible aerial photograph (RGB-aerial photograph) is adopted on this research and carried out at Dusun Ulu plantation with various visible spectral-index methods. The visible spectral-index methods are the excess green index (ExG), the excess red index (ExR), the excess green minus excess red index, and the colour of vegetation extraction (CIVE). The results of four visible spectral-index methods are able to differentiate the severity level of Ganoderma boninense infection on each individual of oil palm.
Estimating the casualties of the earthquake caused by the Lembang Fault in Coblong, Bandung, Indonesia
Authors: Meilano Irwan , Riyadi Puti Nabila , Riqqi Akhmad , Kuscahyadi Febriana 
Published: July 2020

Abstract
Bandung is a metropolis in Indonesia located 10 km from the Lembang Fault. Being near a fault and having a dense population places Bandung at a high risk of suffering an earthquake. The lack of an earthquake risk assessment for the Lembang Fault is the main motivation of this study, which aims to provide information on the risk of building damage and estimated casualties in the Coblong District. This study uses earthquake scenarios with magnitudes of 6 and 7 caused by the Lembang Fault. Earthquake acceleration data on bedrock along with building vulnerability curves are used to obtain the probability of building damage. The number of victims is calculated based on the level of building damage using the event tree model from the HAZUS method. The results of the calculation show that the Lembang Fault earthquake with a magnitude of 6 could cause casualties in Coblong amounting to around 0.6% of the population, rising to as much as 1.5% for a magnitude of 7. The level of building damage is 36.6% and 55.6%, respectively.
Prediction of potential fishing zones for mackerel tuna (Euthynnus sp) in Bali Strait using remotely sensed data
Authors: Syah Achmad Fachruddin , Ramdani Laras Wulan , Suniada Komang Iwan 
Published: July 2020

Abstract
Mackerel tuna (Euthynnus sp.) is one of the pelagic fish species that has become the export commodity of Indonesia. This species is a carnivorous marine biota that forms a group with rapid swimming abilities. Mackerel tuna is scattered throughout Indonesian waters, including the waters of the Bali Strait. This study aims to predict Mackerel tuna fishing zone in the Bali Strait by using remotely sensed data. Sea surface temperature (SST) and sea surface chlorophyll-a (chl-a) were downloaded from the ocean colour website meanwhile the fishing catches obtained from nusantara fisheries port (pelabuhan perikanan nusantara) Pangembangan, Bali and the fishing lane from marine research and observation agency (balai riset dan observasi laut), Bali. The results showed that the highest of fishing catches occurred in September and October with SST value of 26 – 28 °C and chl-a value of 0.4 – 2.6 mg/m3. Based on the SST and chl-a value, the results revealed the potential fishing zone of Mackerel tuna mostly occurred during south monsoon (April - September). In general, the distribution of Mackerel tuna, based on the overlaid SST and chl-a, showed moderate spatial correlation with actual fishing locations from local fisherman. Integration in situ data and oceanographic condition generated from remotely sensed data could form the basis for fisheries management and information system, such as Mackerel in Bali Strait.
The development of WebGIS for the cultural sites in Kotagede Sub-District combined with 360° photosphere visualization
Authors: Ni Luh Kompyang S , Cahyono Bambang Kun , Laksono Dany Puguh , Djurdjani  , Riyadi Gondang 
Published: July 2020

Abstract
Kotagede is one of sub-districts in the Special Region of Yogyakarta which has several potentials especially in the cultural tourism industry. Long time ago, it was being the capital of Mataram Islam Kingdom. As a center of The Kingdom, Kotagede becomes one of the most important historical tourist spots in Yogyakarta. It is also a heritage city with great potentials to support the prosperity of its residents. The cultural site in Kotagede could be presented in the form of web based Geographical Information System (GIS) related to the spatial aspects, also by combining with 360° photosphere as its dynamic visualization. This WebGIS was made by integrating Google Camera, ArcGIS Online, ArcGIS Desktop, Pannellum website, and Cloudinary website. Usability testing was conducted with the System Usability Scale (SUS) as the testing instrument. Cultural site information in the WebGIS can be displayed in the form of an online map included widgets and other various functions in order to make it easier to be explored.
Spatial analysis of rice phenology using Sentinel-2 and UAV in Parakan Salak, Sukabumi Regency
Authors: Rokhmatuloh  , Supriatna  , Wibowo A , Shidiq IPA , Pin TG , Hernina R 
Published: July 2020

Abstract
West Java is the third province with the largest area of paddy field. On the province scale, there are five districts with more than 60,000 hectares of the paddy field area. Sukabumi is fifth largest districts with 6.8% of the area covered with paddy field. Although it is not the greatest number, Sukabumi is the largest producer of paddy with more than 6 ton per hectare, especially in 2011. Rice is the primary food for most of Indonesian. Therefore, monitoring the rice planting regarding the phenology, planting area, and productivity is a critical process. Information from the process is very important to address the national issue of food security. This study aims to generate spatial and temporal information on rice phenology. This study uses the excellence of remote sensing technology to cover a big area of paddy field. Sentinel-2 imageries and photos from Unmanned Aerial Vehicle (UAV) are being applied to generate Normalized Difference Vegetation Index (NDVI). With NDVI, this study determines the growth stage of paddy by discriminating each stage based on the spectral value. The planting phases that have discovered in the area are land preparation, vegetative, generative, and harvesting. Based on the NDVI value, it is known that the vegetative stage ranges from 0.181 to 0.80. The study concludes that result from Sentinel-2 and UAV can be used to show the distribution of paddy based on different growth stage.
Integrated ecological index (IEI) for urban ecological status based on remote sensing data: a study at Semarang – Indonesia
Authors: Indrawati Like , Sigit Heru Murti B S , Rachmawati Rini 
Published: July 2020

Abstract
The sustainability of a city will be greatly influenced by its urban ecological status. Remote sensing technology is very supportive for understanding the urban ecological status with advantages in terms of timely, precise and objective, so that has become an increasing concern in the world. In this paper, urban ecological status of Semarang city was analysed by an image of Landsat-8 OLI was acquired in a different season. The urban ecological status is integrated by two main components that are assumed that forming urban land, that is the primary land surface component (i.e. built-up area and vegetation area) and the climate (i.e. land surface humidity and dryness degree). These components are divided into four indicators obtained from the transformation of remote sensing data, which is the NDBI (normalized difference build-up index) for built areas representing the resident aggregation degree, SAVI (soil adjusted vegetation index) for greenness degree, NDMI (normalized difference moisture index) for land surface moisture and NDSI (normalized difference soil index) for the dryness degree. Principal component analysis (PCA) was utilized to compress the four indicators into one to construct the index for assessing overall urban ecological status. The results showed that there were differences in the urban ecological status in different seasons. Urban ecological conditions in the dry season are more varied than in the rainy season. Overall urban ecological conditions in the rainy season are better than the dry season.
Spatial distribution of PM10 derived from Landsat 8 imagery in Bandung, Indonesia
Authors: Hernawati R , Darmawan S 
Published: July 2020

Abstract
Air pollutant of PM10 concentration over Bandung City was estimated based on satellite imagery. The imagery was acquired by Landsat -8 on 22nd May 2019. The methodology implementation were started with pre-processing includes geometric correction, radiometric calibration to converted of digital number into surface reflectance values to estimated PM10 concentration. For calculated the algorithm of PM10 need the coeficient aerosol optical depth (AOD) was using from AERONET. The results showed that the estimation of PM10 distribution through satellite imagery in Bandung in the year of 2019 in average 36.18 μg/m3. According to Air Pollution Standard Index from that average Bandung city is still in healthy category of PM10 concentration. The calculated data on PM10 were also compared with ground measurements of PM10 data estimated from different locations of Bandung for validation and a linear relationship was established between them having a moderate positive relationship with the correlation coefficient value of 0.6187.