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Mining land identification in Wetar Island using remote sensing data Atriyon Julzarika
Journal of Degraded and Mining Lands Management Vol 6, No 1 (2018)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (586.37 KB) | DOI: 10.15243/jdmlm.2018.061.1513

Abstract

Wetar Island is one of the 92 outer islands of Indonesia. On this island, there is a variety of geological potential that can be seen from the structure, formation and geological folds including mine geology potential energy and mineral resources. This makes the island having mining activities. Remote sensing data in the form of optical images, Synthetic Aperture Radar, microwave, laser, and others can be used to determine the mining activities in Wetar Island. This research was focused on mining land identification in Wetar Island. This study aimed to identify the mining land in Wetar Island using remote sensing data. The method used was the Vegetation Index Differencing, which calculated difference value of vegetation index temporally. Landsat satellite images of 1975, 1990, 2000 and 2005 were used for mining land identification. First Landsat satellite image must have had a geometric and radiometric correction. The results obtained were in the form of mining land identification and non- mining land area. These results are useful for monitoring the mining activities carried out on Wetar Island. The methods used may also be applied to monitor, identify, and evaluate various mining operations in other parts of Indonesia. Mining region that has been identified can be used for management and planning of maritime space.
Comprehensive integration system of saltwater environment on Rote Island using a multidisciplinary approach Atriyon Julzarika; Dany Puguh Laksono; Luki Subehi; Esthi Kurniai Dewi; K Kayat; Hanhan A Sofiyuddin; Media Fitri Isma Nugraha
Journal of Degraded and Mining Lands Management Vol 6, No 1 (2018)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1542.529 KB) | DOI: 10.15243/jdmlm.2018.061.1553

Abstract

Rote Island is one of the islands in southern of Indonesia. This region experiences very high geological and geodynamic processes. This is evidenced by the abundance of seabed rising, and there is a dead sea lake area that has a higher salinity than the sea. Biodiversity on Rote Island has endemic and unique flora and fauna. This study aims to create an integrated system of inland waters resources on Rote Island with a multidisciplinary approach. Inland water resources on Rote Island number more than 80 lakes and ponds. An inland water resource on Rote Island is a saltwater environment. The extraction of geobiophysical information on inland water resources is needed by studying various aspects of multidisciplinary. The aspects studied are limnology, water quality, conservation of forest resources, geology, geodynamics, water resources, geodesy and geomatics engineering. All geobiophysical information needs to be integrated into an integration system. This is useful for efficiency and effectiveness in the utilization of data and information. This integration system (geovisualization) is in the form of WebGIS and storytelling maps. This integration system is dynamic so it can update its latest spatial information. This integration system can be used to promote Rote island tourism. This integration system can be accessed via the website geopark4rote.com. This integration system can be applied in other regions so reached one map policy and a system for inland water resources will be realized in Indonesia.
Integration of the latest Digital Terrain Model (DTM) with Synthetic Aperture Radar (SAR) Bathymetry Atriyon Julzarika; Trias Aditya; S Subaryono; H Harintaka; Ratna Sari Dewi; Luki Subehi
Journal of Degraded and Mining Lands Management Vol 8, No 3 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.083.2759

Abstract

Topography and bathymetry integration is one of the essential things in providing height data. So far, the topography and bathymetry problems are the lack of height data availability, not up to date, and low vertical accuracy. The latest DTM is one of the topography data with up to date elevation with a spatial resolution of 5 m. Bathymetry extracted from SAR images. It is an alternative depth data for ocean bathymetry and inland water bathymetry. Topography and bathymetry integration is required to obtain comprehensive height data. This study aimed to integrate the latest DTM with SAR bathymetry. The method used in this integration was DEM integration. The method combined the latest DTM data with SAR bathymetry based on the correlation of the two data's standard deviation. The integration of the latest DTM with SAR bathymetry needs to consider differences in height reference fields. Two integration studies were conducted in this research-the latest DTM integration with ocean bathymetry for Rote Island. Then the integration of the latest DTM with inland water bathymetry in Lake Singkarak. The result of the integration is necessary to check the surface by generating longitudinal and cross-section profiles. Integrating the latest DTM and SAR bathymetry can be used for various mapping surveys on lands and waters.
DEM classifications: opportunities and potential of its applications Atriyon Julzarika; D Djurdjani
Journal of Degraded and Mining Lands Management Vol 6, No 4 (2019)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2019.064.1897

Abstract

DEM is a digital model that provides topographic information. DEM can be made from terrestrial surveys, aerial photography, video, optical, and radar satellites, LIDAR and multidata combination. In general, DEM can be in the form of DSM and DTM. This study aims to explain the classification of DEM based on terrestrial and non-terrestrial, the methods of DEM extraction, vertical accuracy, data formats, and technological trends. The methods of DEM extraction discussed include stereo, interferometry, DEM combination, videogrammetry, and terrestrial data interpolation. In addition, a comparison of vertical accuracy is also carried out with several methods of its extraction. DEM can be used for various applications involving land surface, especially for 3D modeling, spatial planning, geology, topography, and so on. This DEM is used to support the activities of inland waters on Rote islands.
Land changes detection on Rote Island using harmonic modelling method Atriyon Julzarika; Nanin Anggraini; K Kayat; Mutiaraning Pertiwi
Journal of Degraded and Mining Lands Management Vol 6, No 3 (2019)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2019.063.1719

Abstract

Rote Island is one of the islands in East Nusa Tenggara. In this island, land changes occur significantly. This land changes can be detected by Landsat images. These images are obtained from the big data engine. The big data engine used is the Google Earth Engine. This study aimed to detect land changes with harmonic modelling using multitemporal Landsat images from the big data engine. Harmonic modelling is used in monitoring changes in Normalized Difference Vegetation Index values in a multitemporal manner from Landsat images. Processing is done using the Geomatics approach. Land changes on Rote Island generally occur on coastal and savanna. Land changes on land generally have vertical deformation on its movement and horizontal on the savanna. The land changes accuracy result is 95% in 1,96σ. This method can be used for rapid mapping of land changes monitoring.
Identification Of Aquatic Plant Species From Bantimurung Waterfall And Their Phytochemical Compounds Analysis Media Fitri Isma Nugraha; Fasya Hadaina Maharani; Hessy Novita; Muh Alias L Rajamuddin; Rossa Yunita; Reflinur Reflinur; Wening Enggarini; Atriyon Julzarika; Berna Elya Elya
ANNALES BOGORIENSES Vol 23, No 1 (2019): Annales Bogorienses
Publisher : Research Center for Biotechnology - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/ann.bogor.2019.v23.n1.41-48

Abstract

A total of 21 aquatic plant species were collected from Bantimurung waterfall areas, South Sulawesi, Indonesia, in October 2017. These plant materials were subjected to both species and phytochemicals identification. The aims of this study were to determine the species or taxonomic rank of Indonesian aquatic plants collected from Bantimurung waterfall, South Sulawesi, Indonesia and to identify their chemical compounds (phytochemicals) as a candidate for new herbal medicine. Plant genetic materials used in this study were collected from Bantimurung Bulusaraung waterfall and were then identified based on standard botanical techniques for species identification in the Herbarium Bogoriense, Research center for Biology Indonesian Institute of Science (LIPI), Cibinong, West Java. The samples were subjected to the phytochemistry screening such as alkaloids, flavonoids, tannins, saponins, glycosides, terpenoids and anthraquinone followed the procedures of Indonesian Materia Medika and Harborne.  Results showed that all collected aquatic plant samples were able to be identified, including their species names. Phytochemical screening of each sample revealed the presence of glycoside in all of the tested species. However, no alkaloids, anthraquinones, and terpenoids were observed in those tested plant samples. Of the total 21 aquatic plants, 14 species contained flavonoids, 8 species contained phenol compound, and 10 species contained saponins. Among these species Donnax canniformis possessed good antioxidant activity, which correlated to its total phenolic and flavonoid contents. Our results would be beneficial for any future effort in the development of new herbal drugs derived from aquatic plants.