scholarly journals Sebaran Hutan Mangrove di Wilayah Pesisir Tobelo menggunakan Sistem Informasi Geografis

2021 ◽  
Vol 1 (3) ◽  
pp. 28
Author(s):  
Kristin Gloria Lebo ◽  
Joyce Christian Kumaat ◽  
Denny Maliangkay
Keyword(s):  
Information Systems ◽  
Data Analysis ◽  
Geographic Information Systems ◽  
Coastal Area ◽  
Mangrove Forest ◽  
Image Data ◽  
Research Data ◽  
Landsat 7 ◽  
Level 1 ◽  
Forest Distribution

The aim of this research is to make a map of mangrove forest distribution and to know the dynamics of mangrove forest distribution in the coastal area of Tobelo, North Halmahera Regency. The method used is descriptive quantitative and data analysis using Geographic Information Systems (GIS) with ArGis 10.6 software. The research data were processed from the base map and Landsat 7 imagery data for the period 2000-2020. The result of the analysis shows that there is a change in the distribution of the mangrove coastal mangrove Tobelo within 20 years. In the Landsat 7 level 1 image data, from 2000-2015 the mangrove forest experienced a lot of reduction, while in 2020 the mangrove forest on the Tobelo coast experienced an increase compared to previous years.

scholarly journals ESTIMASI BIOMASSA PERMUKAAN DAN STOK KARBON PADA TEGAKAN POHON Avicennia marina DAN Rhizophora mucronata DI PERAIRAN PESISIR OEBELO KABUPATEN KUPANG

2016 ◽  
Vol 16 (2) ◽  
pp. 163 ◽  
Author(s):  
Glucklich Manafe ◽  
Michael Riwu Kaho ◽  
Fonny Risamasu
Keyword(s):  
Coastal Area ◽  
Forest Floor ◽  
Mangrove Forest ◽  
Co2 Sequestration ◽  
Avicennia Marina ◽  
Research Data ◽  
Nursery Ground ◽  
Above Ground Biomass ◽  
Mangrove Species ◽  
Ground Biomass

Mangrove forest has an important function for living thing especially in the ocean and coastal area. Besides as feeding and nursery ground, mangrove forest is also has a function as carbon sinker. The utilizing of mangrove forest as a corbon sinker is one of ways to reduce CO2 in atmosphere. Mangrove forest in Oebelo village has a capability to utilize as carbon sinker. The aim of this research was to estimate above ground biomass and carbon reserve from two mangrove species Avicennia marina and Rhizopora mucronata in coastal area of Oebelo Village. In this research data was collected from diameter breast high and litter from forest floor. Alometric was used to estimate the above ground biomass. After data collected, analysis would continue with t test to know the different between these two species.The result showed A. marina and R. mucronata were different, the highest biomass, carbon reserve and CO2 sequestration were in A.marina respectively 118.80 Mg.ha-1, 54.65 Mg.ha-1, 200.37 Mg.ha-1 and R. mucronata respectively 28.90 Mg.ha-1, 13.30 Mg.ha-1, 48.75 Mg.ha-1. The result for litter biomass and carbon reserve showed there was no different between these tow species.

SMALL RUMINANTS PLAGUE WORLD EPIZOOTIC SITUATION

2020 ◽  
Vol 15 (7) ◽  
pp. 1007-1017
Author(s):  
L.P. Padilo ◽  
◽  
O.P. Biryukova ◽  
V.A. Agoltsov ◽  
◽  
...  
Keyword(s):  
Information Systems ◽  
Data Analysis ◽  
Geographic Information Systems ◽  
Retrospective Analysis ◽  
Sierra Leone ◽  
Statistical Data ◽  
Small Ruminants ◽  
Economic Damage ◽  
Foreign Countries ◽  
The World

Plague of small ruminants (PSR) causes enormous economic damage to sheep and goat breeding. Mortality and lethality rates reach 100% of the total number of sick animals. The main materials for recording and analyzing the epizootic situation in foreign countries were: statistical data from the OIE yearbooks for 2007–2019. Cartographic data analysis was carried out using software known on the market for geographic information systems, QGIS, ArcGIS Decktop 10.4. A retrospective cartographic analysis of the epizootic situation of plague of small ruminants in the world in 2007–2019 showed that in 2017 the infection was registered in Mongolia (4 outbreaks, 1661 cases), in Israel (2 outbreaks, 34 cases), in China (2 outbreaks, 288 cases). In 2018, plague of small ruminants was registered in 7 countries of the world: Algeria, Bhutan, Bulgaria, Burundi, China, Israel, Sierra Leone. Algeria reported 6 outbreaks and 30 cases, Bhutan 1 outbreak and 1 case, Bulgaria 7 outbreaks, 28 cases, Burundi 8 outbreaks, 7395 cases, China 6 outbreaks, 1,757 cases, Israel 3 outbreaks, 560 cases , Sierra Leone – 7 outbreaks, 649 cases. As of December 2019, there were 10 outbreaks and 208 cases of small ruminants’ plague of in Israel, 99 outbreaks in Algeria and 3,139 cases, as well as 1 outbreak and 179 cases in Libya. By the retrospective analysis, it has been established that the nosoarea of the PSR pathogen is extremely widespread in many continents of the world.

Reference systems of maps and geographic information systems of Antarctica

1989 ◽  
Vol 1 (4) ◽  
pp. 351-362 ◽  
Author(s):  
Jörn Sievers ◽  
Heinz Bennat
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Satellite Image ◽  
Image Data ◽  
Geographic Information ◽  
Reference Systems ◽  
Map Projections ◽  
Scale Range ◽  
Satellite Image Data ◽  
Cartesian Coordinate

The necessity for uniform reference systems for conventional maps (analogue) and geographic information systems (digital) is discussed. It is recommended that the following scales and projections are used for Antarctic maps: general maps at scales smaller than 1:1 000 000 should use a stereographic projection. Maps up to a scale of 1:1 000 000 should be compiled according to the specifications of the International Map of the World (IMW) 1:1 000 000. Ellipsoids are used as reference surfaces for the various map projections. Differences of the ellipsoidal parameters of the WGS72 and WGS84 systems have to be considered if accuracies better than 10 m are required. Geographic information systems may store data in vector or raster format and in geographic or in geodetic coordinates. For a raster format which is referred to the geographic (spheroidal) grid the term of ‘geographic raster’ is introduced, in contrast to the ‘geodetic raster’ which is referred to a plane cartesian coordinate system. The Institut für Angewandte Geodäsie (IfAG) is establishing the ‘Geocoded Information System Antarctica’ (GIA) using digital satellite image recordings. Internal storage of data in the GIA is in the form of the geodetic raster (and not by spheroidal coordinates). For the scale range 1:250 000 to 1:1 000 000 the size of the raster element is 60 m × 60 m. For smaller scales, satellite image data of a raster width of 240 m × 240 m are preferred.‘All cartographers' trouble began with the abolition of the flat-Earth theory ’

Perceptual Dialectology

2016 ◽  
Author(s):  
Jennifer Cramer
Keyword(s):  
Information Systems ◽  
Data Analysis ◽  
Geographic Information Systems ◽  
Language Attitudes ◽  
Geographic Information ◽  
Mental Maps ◽  
Dialectal Variation ◽  
Perceptual Dialectology ◽  
Gis Tools ◽  
History Of

This chapter introduces the topic of Perceptual Dialectology (PD), an area of sociolinguistics concerned with how nonlinguists understand dialectal variation. The chapter provides a brief history of the field and explores the ways in which the perceptions and language attitudes of nonlinguists have typically been elicited in research conducted within the modern tradition of PD with a particular focus on mental maps. Additionally, this chapter identifies ways in which these methods have been improved upon, specifically through the use of geographic information systems (GIS) tools. As an illustration of both the typical tools used in PD research and these recent advances in data analysis, a research project on the perceptions of dialectal variation within and across the state of Kentucky is presented.

scholarly journals Pengaruh Land Subsidence terhadap Genangan Banjir dan Rob di Semarang Timur

2016 ◽  
Vol 21 (1) ◽  
pp. 1
Author(s):  
Ratih Pujiastuti ◽  
Suripin Suripin ◽  
Syafrudin Syafrudin
Keyword(s):  
Data Analysis ◽  
Water Level ◽  
Land Subsidence ◽  
Coastal Area ◽  
Research Data ◽  
Flood Inundation ◽  
Hydrological Data ◽  
Flood Discharge ◽  
Subsidence Analysis ◽  
Arc Gis

Inundation of flood and rob (flood due to high tides) in Semarang City is increase wtithin area and depth. It be more seroius condition because of land subsisdence that happened in coastal area of Semarang City. This research is foccused on prediction and mapping of inundation flood and rob due to land subsidence effect in East Semarang, especially Tenggang Watershed and Sringin Watershed. On this research, data analysis including analysis of land subsidence, analysis of hydrological data, analysis of flood discharge with HEC-HMS, hydraulics analysis with HEC-RAS and then mapping the results of the flood inundation with Arc GIS. The inundation will be create with overlay the DEM of flood water level and DEM of topographic. According to the results of analysis is known that minimum land subsidence is 0 cm/year that happened in south area of Semarang and more higher ini north area with maximum land subsidence is 5.58 cm/year. On periode   2014-2031, the contribute of land subsidence to increase the inundation of flood and rob is 1.39%/year.

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