Comparison between remote-sensing-based drought indices in East Java']Java

被引:15
作者
Amalo, Luisa Febrina [1 ]
Hidayat, Rahmat [2 ]
Haris [3 ]
机构
[1] Bogor Agr Univ, Ctr Environm Res, PPLH LPPM, Bogor 16680, Indonesia
[2] Bogor Agr Univ, Dept Geophys & Meteorol, Bogor 16680, Indonesia
[3] Gowa Coll Agr, STTP, Gowa, Indonesia
来源
3RD INTERNATIONAL SYMPOSIUM ON LAPAN-IPB SATELLITE FOR FOOD SECURITY AND ENVIRONMENTAL MONITORING 2016 | 2017年 / 54卷
关键词
D O I
10.1088/1755-1315/54/1/012009
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drought is natural hazard which has causing several impacts, such as decreasing of air and water quality, land degradation, forest fire, decreasing of agricultural crops production. Drought assessment using drought indices have widely conducted for drought monitoring. Remote-sensing-based indices defined as an index which using remote sensing data for mapping the drought condition in particular area or region. This research aims to compare remote-sensing-based drought indices, namely TCI, VCI and VHI to obtain a better understanding about the differentiation between each index, and their application for monitoring drought in East Java on El Nino year 2015. LST and EVI data were used to construct the indices. The result showed, each index proved to be useful, quick, sufficient and inexpensive tool for drought monitoring. However, each index has its differences. TCI proved to be detected drought sensitively in dry season or months when high temperature occurred. While VCI detected drought more sensitive in wet season as well (December-January-February to May) than TCI and VHI. Meanwhile, VHI which the enhancement of TCI and VHI has combined two indicators to provide better comprehension about drought occurrence.
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页数:7
相关论文
共 17 条
[1]  
Amalo L F, 2016, THESIS
[2]  
Amarsaikhan D., 2014, J. Geosci Environ Protection, V2, P123, DOI DOI 10.4236/GEP.2014.22017
[3]  
[Anonymous], 2011, Jurnal Penginderaan Jauh Dan Pengolahan Data Citra Digital
[4]  
Bey A, 2002, ANAL CLIMATE ITS IMP
[5]   Risk identification of agricultural drought for sustainable Agroecosystems [J].
Dalezios, N. R. ;
Blanta, A. ;
Spyropoulos, N. V. ;
Tarquis, A. M. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2014, 14 (09) :2435-2448
[6]   Regional Landsat-Based Drought Monitoring from 1982 to 2014 [J].
Ghaleb, Faour ;
Mario, Mhawej ;
Sandra, Abou Najem .
CLIMATE, 2015, 3 (03) :563-577
[7]  
Jiao W, 2016, REMOTE SENS, V8, P1
[8]   APPLICATION OF VEGETATION INDEX AND BRIGHTNESS TEMPERATURE FOR DROUGHT DETECTION [J].
KOGAN, FN .
NATURAL HAZARDS: MONITORING AND ASSESSMENT USING REMOTE SENSING TECHNIQUE, 1995, 15 (11) :91-100
[9]  
National Oceanic and Atmospheric Admnistration, 2016, ENSO YEARS
[10]  
Neri C., 2010, Assessing drought risk and identifying policy alternatives for drought risk management. Risks, impacts and social meaning of drought: Characterization of the vulnerability in Sonora