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Dermiyati
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Faculty of Agriculture, University of Lampung, Jl. Sumantri Brojonegoro No. 1, Bandarlampung 35145, Indonesia
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Journal of Tropical Soils
Published by Universitas Lampung
ISSN : 0852257X     EISSN : 20866682     DOI : http://dx.doi.org/10.5400/jts.v25i1
Core Subject : Agriculture, Social,
Agriculture, Biological Sciences & Forestry Environmental Science
Journal of Tropical Soils (JTS) publishes all aspects in the original research of soil science (soil physic and soil conservation, soil mineralogy, soil chemistry and soil fertility, soil biology and soil biochemical, soil genesis and classification, land survey and land evaluation, land development and management environmental), and related subjects in which using soil from tropical areas.
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Konservasi Alam dan Lahan
Articles 12 Documents
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Search results for , issue "Vol. 16 No. 2: May 2011" : 12 Documents clear
Coastline Change Surround Sekampung River Estuary Estimated by Geographic Information System Technique Fahri, .; Syam, Tamaluddin
JOURNAL OF TROPICAL SOILS Vol. 16 No. 2: May 2011
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2011.v16i2.169-174

Abstract

Surround a big river estuary coastline has a dynamic characteristic and change along a period of time, because of anatural process and/or it is accelerated by human activities. The surround Sekampung river estuary coastline located in Rawa Sragi area is one of the most dynamic coastlines in southern Lampung Province that has changed significantly from 1959 (as a natural process) to year 1987 (as an accelerated process by human activities) since the government of Indonesia has applied swamp drainage system for Rawa Sragi area. It is likely that the coastline has changed significantly in the period of 1987 to 2009 (as an increasing intensity of the human activities in the surrounding Rawa Sragi land). The objective of this research was to analyze the coastline change in the surrounding of Sekampung river estuary in two periods of time: (1) the change of the 1959 – 1987 period coastlines; and (2) the change of the 1987 – 2009 period coastlines. The method of this research was a GIS technique, the implementation was divided into three main steps: (1) the first analysis was conducted in laboratory include raster data source analysis and registration, coastline digitations, and overlaying and analysis of the coastline data; (2) field observation (ground check) was conducted to observe and verify the ground existing coastline; and (3) the last analysis wasconducted after ground check activity to improve and to verify the first coastline analysis results. The result of this research indicated that coastline change in the period of 1959 to 1987 increased the coast land as much as 717.19 hectares, but decreased the coast land as much as 308.51 hectares. Furthermore the coastline change in the period of 1987 to 2009 increased the coast land as much as 162.504 hectares, but decreased the coast land as much as 492.734 hectares. The 1959 – 1987 coastline change was a coast land increasing period, but the 1987 – 2009 coastline change was a coast land decreasing period.Keywords: Abrasion, accretion, coast land, coastline, estuary
Application of a Multispectral SPOT Image for Land Use Classification in Sampean Watershed Irawan, Januar Fery; Indarto, .
JOURNAL OF TROPICAL SOILS Vol. 16 No. 2: May 2011
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2011.v16i2.176-181

Abstract

This article described the process of land use classification at Sampean Watershed. The research was conducted in Sampean watershed to calculate the land use area using a multispectral SPOT image. Two SPOT image scenes were used to identify and classify the main nomenclature of land use. The research applied level 2A of SPOT image raw data which were obtained during 2004. Research methodology consisted of geometric correction of Image; image enhancement using high sharpen filter; un-supervised classification and supervised classification. The classification algorithm used the maximum likelihood in which pixels was classified based on their spectral signature. Severaltraining areas were identified to define the region area. Supervised classification could classified 9 class of land uses, the classification of land use consist of irrigated paddy field (56.05%), rain fed paddy field (0.89%), forest (10.75%), urban area (8.69%), plantation (4.22%), barren land (11.19%), river (0.05%), cropland (7.98%), and bushes (0.19%). The overall classification accuracy was 84.21%. This work will be useful for hydrological modelling and management planning of the Watershed.

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