Cargando…
Remote Sensing-Based Quantification of the Impact of Flash Flooding on the Rice Production: A Case Study over Northeastern Bangladesh
The northeastern region of Bangladesh often experiences flash flooding during the pre-harvesting period of the boro rice crop, which is the major cereal crop in the country. In this study, our objective was to delineate the impact of the 2017 flash flood (that initiated on 27 March 2017) on boro ric...
Autores principales: | Ahmed, M. Razu, Rahaman, Khan Rubayet, Kok, Aaron, Hassan, Quazi K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677220/ https://www.ncbi.nlm.nih.gov/pubmed/29036896 http://dx.doi.org/10.3390/s17102347 |
Ejemplares similares
-
Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level
por: Ahmed, M. Razu, et al.
Publicado: (2018) -
Quantification of Local Warming Trend: A Remote Sensing-Based Approach
por: Rahaman, Khan Rubayet, et al.
Publicado: (2017) -
Correction: Quantification of Local Warming Trend: A Remote Sensing-Based Approach
por: Rahaman, Khan Rubayet, et al.
Publicado: (2018) -
Overcoming barriers to adapt rice farming to recurring flash floods in haor wetlands of Bangladesh
por: Baishakhy, Smita Dash, et al.
Publicado: (2023) -
Artificial neural network for flood susceptibility mapping in Bangladesh
por: Rudra, Rhyme Rubayet, et al.
Publicado: (2023)