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Article

An Integrated Method for Identifying Present Status and Risk of Drought in Bangladesh

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Department of Geography and Environmental Studies, University of Rajshahi, Rajshahi, Rajshahi 6205, Bangladesh
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Department of Geography, School of Global Studies, University of Sussex, Brighton BN19RH, UK
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Department of Geoinformation, Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
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Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
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Dept of Civil Engineering, Seoul National University of Science & Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Korea
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Marine Meteorology Division, Naval Research Laboratory, Monterey, CA 93943, USA
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Research and Development Center for Global Change (RCGC), Japan Agency for Marine-Earth Science and Technology (JAMSTEC) 3173-25, Showa-machi, Kanazawa-ku, Yokohama, Kanagawa 236-0001, Japan
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(17), 2686; https://doi.org/10.3390/rs12172686
Received: 7 June 2020 / Revised: 17 August 2020 / Accepted: 17 August 2020 / Published: 20 August 2020
The occurrence and severity of agricultural droughts may not be dependent upon climatic variables alone. Rather increasingly, drought is affected by human interventions such as irrigation. Anthropogenic activity has introduced uncertainty in the assessment of current drought and future drought risk in many parts of the world; neither climatic nor remote sensing data alone are able to assess drought conditions effectively. In response, we present a simple approach to assess drought by combining a remote sensing-based drought index, the Temperature Vegetation Dryness Index (TVDI), climate data (i.e., rainfall and temperature), and field observations to evaluate recent drought conditions in northwestern Bangladesh (NWB). Applying this approach, we gained five insights: (i) the TVDI successfully indicated the drought conditions of NWB and agrees with field observations, (ii) the integrated use of TVDI and climate data (such as rainfall and temperature) provides the best understanding of the difference between meteorological drought and droughts resulting from surface moisture conditions, (iii) the TVDI results agree with rainfall data (r2 = 0.40 in March and r2 = 46 in April) in a part of the study area (NWB) where irrigation is not available, (iv) the TVDI can be used along with climate data to predict the potential risk of drought, and (v) while meteorological drought exists due to low rainfall and high temperature in this NWB in pre-monsoon season, because of widespread irrigation practices, meteorological drought is unable to trigger agricultural drought over most parts of the study area. The findings imply that there is a potential risk of drought in NWB, since any disruption of irrigation water supply could trigger a severe agricultural drought over the whole region. This is similar to what is currently observed over a small part of NWB. View Full-Text
Keywords: remote sensing; TVDI; drought; food production; Bangladesh remote sensing; TVDI; drought; food production; Bangladesh
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MDPI and ACS Style

Sarker, M.L.R.; Janet, N.; Mansor, S.A.; Ahmad, B.B.; Shahid, S.; Chung, E.-S.; Reid, J.S.; Siswanto, E. An Integrated Method for Identifying Present Status and Risk of Drought in Bangladesh. Remote Sens. 2020, 12, 2686. https://doi.org/10.3390/rs12172686

AMA Style

Sarker MLR, Janet N, Mansor SA, Ahmad BB, Shahid S, Chung E-S, Reid JS, Siswanto E. An Integrated Method for Identifying Present Status and Risk of Drought in Bangladesh. Remote Sensing. 2020; 12(17):2686. https://doi.org/10.3390/rs12172686

Chicago/Turabian Style

Sarker, Md. L.R., Nichol Janet, Siti A. Mansor, Baharin B. Ahmad, Shamsuddin Shahid, Eun-Sung Chung, Jeffrey S. Reid, and Eko Siswanto. 2020. "An Integrated Method for Identifying Present Status and Risk of Drought in Bangladesh" Remote Sensing 12, no. 17: 2686. https://doi.org/10.3390/rs12172686

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