Estimation and evaluation of soil erosion using multitemporal spatial data : Study case West Java-Indonesia

Material type: 文書・図像類

Author: DARMAWAN, Sほか

Publisher: Chiba University. Center for Environmental Remote Sensing

Publication date: 2007-10-29

Material Format: Digital

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Note (General)：: type:text[ABSTRACT] Rapid economic and population growth in West Java has been accompanied by significant land use change. This condition has been eff...

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Material Type: 文書・図像類
Title: Estimation and evaluation of soil erosion using multitemporal spatial data : Study case West Java-Indonesia
Author/Editor: DARMAWAN, S
WIKANTIKA, Ketut
HIRANO, Akira
UCHIDA, Satoshi
FIRMAN, H
Author Heading: DARMAWAN, S
WIKANTIKA, Ketut
HIRANO, Akira
UCHIDA, Satoshi
FIRMAN, H
Publication, Distribution, etc.: Chiba University. Center for Environmental Remote Sensing
Publication Date: 2007-10-29
Publication Date (W3CDTF): 2007-10-29
Periodical title: Proceedings of the CEReS international symposium = CEReS国際シンポジウム資料集
No. or year of volume/issue: 13
Volume: 13
Pages: 41-46
Text Language Code: eng
Target Audience: 一般
Note (General): type:text
[ABSTRACT] Rapid economic and population growth in West Java has been accompanied by significant land use change. This condition has been effected soil erosion. Soil erosion appears to be one of the most significant environmental problems. Soil erosion is a big problem because physically effect can be decrease turbidity, change water temperature and fish habitat and spawning patterns and chemically effect can transport nutrients such as phosphorus and nitrogen, heavy metals, degrade water quality and degrade land quality. To estimate soil erosion value can use USLE (Universal Soil Loss Equation). USLE is most widely used method for estimating soil erosion although originally developed for agricultural purpose; its use has been extended to catchments area with other land uses. Remote sensing and GIS technology used to estimate and to evaluate distribution of soil erosion. This technology can be easy to collect, to process and to analyze multitemporal spatial data. Data collected such land use, rainfall, soil erodibility, slope and others data in 1994, 1997, 2001 and 2005. Image processing and spatial analyze can using commercial and open source software. To integrate their software using virtual machine but unfortunately data in windows can be “read-only" only, therefore data exchange is done with other interface medium. Most big Soil erosion distribution based on river basin area in 1994 -2005 is Ciujung, Cisanggarung, Cimandur and Cibareno. Soil erosion was very big occurs in Cibareno river basin because changes of forest to agricultural area and agricultural area to palawija fields as well. Based on administrative area most big soil erosion distribution in 1994 -2005 are Majalengka, Kuningan, Bandung, Bogor and Sukabumi. Big soil erosion occurs in 2001 because of rainfall extreme, in Majalengka and Kuningan while small rainfall exchange will impact on big soil erosion because of steep slope.
Access Restrictions: 限定公開
Related Material (NCID): BA88410328
https://ci.nii.ac.jp/ncid/BA88410328
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 千葉大学 : 千葉大学学術成果リポジトリ