多波長センサーによるアラル海流域における灌漑実態の広域モニタリング
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- 峠, 嘉哉
- 東北大学大学院工学研究科土木工学専攻
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- MUTHONI, Mbugua Jacqueline
- 東北大学大学院工学研究科土木工学専攻
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- 田中, 賢治
- 京都大学防災研究所
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- KHUJANAZAROV, Temur
- 京都大学防災研究所
書誌事項
- タイトル別名
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- Satellite Remote Sensing of Irrigation in the Aral Sea Basin using Multi-Spectral Sensors
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抄録
In the Aral Sea basin, due to severe drought and land salinization, land use annually changes due to lack of water resource and local adaptation against salinization. However, these changes have not been recorded in national statistics. Therefore in this research, actual irrigated area was attempted to detect by satellite remote sensing. Diurnal difference of surface temperature was utilized, because surface heat capacity and cooling effect of evapotranspiration are different on irrigated area comparing to surrounding arid non-irrigated zone. The diurnal difference of surface temperature was from MODIS sensor which has 1km and 12 hours resolution. And additionally, land surface model was utilized to remove climatic and geological changes in temperature. As a result, suggested ΔST_[diff] index could detect distribution of irrigated area in main irrigated region in Uzbekistan and ΔST_[diff] value was lower where irrigated area fraction is large. Moreover, monthly and annual change of ΔST_[diff] was smaller from June to August in dry year.
収録刊行物
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- 京都大学防災研究所年報. B
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京都大学防災研究所年報. B 62 (B), 650-655, 2019-09
京都大学防災研究所
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詳細情報 詳細情報について
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- CRID
- 1050564288893559168
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- NII論文ID
- 120006770339
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- NII書誌ID
- AN00027784
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- ISSN
- 0386412X
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- HANDLE
- 2433/244990
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- CiNii Articles
- KAKEN