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GIS and Remote Sensing-Based Agricultural and Meteorological Drought Assessment in Rajshahi Division
Drought in the northwest region of Bangladesh is mostly influenced by several climatic parameters such as rainfall, evapotranspiration, temperature, etc. To adapt the unfavorable climatic conditions, it is vital to use alternating cropping patterns and land use, even during the rainy season. From this context, the present study aims at monitoring agricultural and meteorological drought patterns during Kharif II (mid-July to mid-November) season in the Rajshahi division. Satellite images (Landsat and Sentinel-2A) were collected at two years intervals to monitor agricultural drought within the study area using the Normalized Difference Vegetation Index (NDVI). Then the values were categorized into six different classes: extreme dry, dry, moderate, wet, and extremely wet soil conditions that governed the crop growth and indicate agricultural drought severity. To assess the meteorological drought condition Standardized Precipitation Index (SPI) is calculated using the SPI tool. Calculated SPI values were then divided into six different classes from no drought to exceptional drought. The coupling effects of rainfall and vegetative conditions were then determined using NDVI anomalies and plotted against SPI values. The month of September is noticed to be the most critical crop period as the NDVI values are at the peak representing the fullest crop growth. It is also observed that Naogaon, Natore, Bogra, and Sirajganj experienced dry, hot to extremely dry soil moisture conditions indicating agricultural drought almost every year from 2010–2020. The negative NDVI values in 2010, 2012, and 2014 suggest that there was a drought in those years because there was less available rainfall. Both indices show that crop production is possible when rainfall is available. In 2018, there was less rainfall but a positive vegetation index suggesting irrigation/water storage. Future studies may combine crop yield data with the findings from this study to better understand drought in Rajshahi.
GIS and Remote Sensing-Based Agricultural and Meteorological Drought Assessment in Rajshahi Division
Drought in the northwest region of Bangladesh is mostly influenced by several climatic parameters such as rainfall, evapotranspiration, temperature, etc. To adapt the unfavorable climatic conditions, it is vital to use alternating cropping patterns and land use, even during the rainy season. From this context, the present study aims at monitoring agricultural and meteorological drought patterns during Kharif II (mid-July to mid-November) season in the Rajshahi division. Satellite images (Landsat and Sentinel-2A) were collected at two years intervals to monitor agricultural drought within the study area using the Normalized Difference Vegetation Index (NDVI). Then the values were categorized into six different classes: extreme dry, dry, moderate, wet, and extremely wet soil conditions that governed the crop growth and indicate agricultural drought severity. To assess the meteorological drought condition Standardized Precipitation Index (SPI) is calculated using the SPI tool. Calculated SPI values were then divided into six different classes from no drought to exceptional drought. The coupling effects of rainfall and vegetative conditions were then determined using NDVI anomalies and plotted against SPI values. The month of September is noticed to be the most critical crop period as the NDVI values are at the peak representing the fullest crop growth. It is also observed that Naogaon, Natore, Bogra, and Sirajganj experienced dry, hot to extremely dry soil moisture conditions indicating agricultural drought almost every year from 2010–2020. The negative NDVI values in 2010, 2012, and 2014 suggest that there was a drought in those years because there was less available rainfall. Both indices show that crop production is possible when rainfall is available. In 2018, there was less rainfall but a positive vegetation index suggesting irrigation/water storage. Future studies may combine crop yield data with the findings from this study to better understand drought in Rajshahi.
GIS and Remote Sensing-Based Agricultural and Meteorological Drought Assessment in Rajshahi Division
Lecture Notes in Civil Engineering
Arthur, Scott (editor) / Saitoh, Masato (editor) / Hoque, Asiful (editor) / Ferdousi, M. (author) / Narzis, A. (author)
International Conference on Advances in Civil Engineering ; 2022 ; Bangladesh, India
Proceedings of the 6th International Conference on Advances in Civil Engineering ; Chapter: 2 ; 13-24
2024-01-12
12 pages
Article/Chapter (Book)
Electronic Resource
English
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