Identifying Climatic Variables with Rice Yield Relationship and Land Cover Change Detection at Sylhet Region

G. T. Uddin, M. Hossain, F. Ishaque
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引用次数: 5

Abstract

The study is conducted to determine the correlation between climatic parameters and rice yield. The present study is also undertaken to analyze the land cover change in Sylhet district between 2013 and 2018 using LANDSAT-8 images. Local climate and rice yield data are collected from BMD (Bangladesh Meteorological Department) and BRRI (Bangladesh Rice Research Institute) and BBS (Bangladesh Bureau of Statistics). ArcGIS 10.5 and SPSS software are used to show the vegetation condition and correlation coefficient between rice yield and climatic variables respectively. It is revealed from the result that rainfall is negatively correlated with Aman and Boro (local and HYV) rice whereas temperature and relative humidity showed a positive correlation with local Aman and Boro rice. On the other hand, relative humidity showed a strong linear relationship with HYV Boro rice. Finally, both temperature and relative humidity have substantial effects on yields in the Boro rice. Furthermore, vegetation condition is observed through NDVI and found the moderate-high vegetation in 2013. After that NDVI value is fluctuating which evidently signifies the rapid vegetation cover change due to a flash flood, flood and other climate changing aspects. Additionally, Forested and high land vegetation’s are endangered rapidly. Some adaptation strategies should be followed to minimize the effects of natural calamities for improving better vegetation condition.
基于水稻产量关系的气候变量识别及Sylhet地区土地覆盖变化检测
进行这项研究是为了确定气候参数与水稻产量之间的关系。本研究还利用LANDSAT-8图像分析了2013年至2018年Sylhet地区的土地覆盖变化。当地气候和水稻产量数据由孟加拉国气象局(BMD)、孟加拉国水稻研究所(BRRI)和孟加拉国统计局(BBS)收集。利用ArcGIS 10.5和SPSS软件分别显示植被状况和水稻产量与气候变量的相关系数。结果表明,降雨量与安曼和波罗稻(本地稻和HYV稻)呈负相关,而温度和相对湿度与安曼和波罗稻(本地稻和HYV稻)呈正相关。相对湿度与HYV - Boro水稻呈较强的线性关系。最后,温度和相对湿度对水稻产量都有实质性的影响。通过NDVI对植被状况进行观测,发现2013年植被处于中高水平。在此之后,NDVI值出现波动,这明显表明山洪、洪水等气候变化因素导致植被覆盖度的快速变化。此外,森林和高地植被正在迅速受到威胁。应采取一些适应策略,尽量减少自然灾害的影响,改善植被状况。
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