综合利用遥感和气候参数对水稻品种进行探索坦吉尔-萨达尔-乌巴齐拉种植面积及其扩大动因

M. Siddiquee, M. Miah, H. Abdullah, G. K. M. M. Rahman, M Mofizul Islam, M. T. Tanzir
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摘要

病害的识别对于有效的作物管理和农业决策至关重要。遥感技术现在被用于估计全球作物面积和监测生产,包括发展中国家。在孟加拉国,水稻面积估算传统上是通过基于位置的实地考察或目测来完成的,这既繁琐又耗时。利用遥感技术和气候参数,探讨了坦盖尔萨达尔乌帕齐拉地区的种植面积及其扩大的驱动因素。利用1999 ~ 2020年水稻最大生育期的多光谱Landsat图像进行了研究。Upazila的边界是用孟加拉国地图创建的形状文件在图像上剪切的。采用QGIS、ArcGIS和R软件进行随机森林(Random Forest, RF)监督分类。标准化降水蒸散发指数(SPEI)采用月总降雨量计算;观察干旱影响的最低和最高温度。结果表明,水稻种植面积从1999年的8104 ha逐渐增加到2020年的12781 ha。2009- 2020年,水稻种植面积扩大率(3.10%)远低于1999-2009年(11.49%)。这是由于近十年来种植相对稳定。总体准确率为93 ~ 96%,kappa系数为0.90 ~ 0.93。研究表明,卫星数据与传统估算的水稻面积之间存在良好的关系。水稻种植面积的扩大主要受到气候变化的积极影响。长期的水文干旱和较短的湿润期将水稻种植引入了低地和流域地区。根据效益成本比(BCR),在同一季节种植芥菜和米米比单独种植任何一种作物都更有利可图。研究表明,遥感技术对水稻种植面积和扩展动力的探索是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Use of Remote Sensing and Climate Parameters to Explore Boro Rice (Oryza sativa L.) Cultivation Area and Driver of Expansion in Tangail Sadar Upazila
identification of for are crucial for efficient crop management and decision-making in agriculture. Remote Sensing techniques are now being used to estimate crop area and production monitoring globally, including developing countries. In Bangladesh, rice area estimation has traditionally been done through location-based field visits or eye-estimation, which is tedious and time-consuming. The present study uses Remote Sensing (RS) and climate parameters to explore the cultivation area and driver of boro area expansion in Tangail Sadar Upazila. Multi-spectral Landsat imageries were obtained from 1999 to 2020 at the maximum growth stages of boro rice. Upazila's boundary was clipped over the images using a shape file created from Bangladesh map. The images were analyzed with QGIS, ArcGIS, and R software through the Random Forest (RF) supervised classification. Standardized Precipitation Evapotranspiration Index (SPEI) was calculated using monthly total rainfall; minimum and maximum temperature to observe drought impacts. The findings revealed that the boro rice cultivation gradually increased from 8104 ha (in 1999) to 12781 ha (in 2020). In 2009-20, the expansion rate (3.10 percent) of boro rice areas was much lower (11.49 percent) than in 1999-2009. It was due to relatively stable boro cultivation in the recent decade. The Overall accuracy was 93-96 percent with the kappa coefficient of 0.90-0.93. The study showed that there was a good relationship between satellite and traditionally estimated boro rice area. The expansion of boro rice areas has been driven mainly by the positive impacts of climate change. Long-term hydrological drought and a shorter wet spell have introduced boro rice cultivation to the lowlands and river basin areas. According to the benefit cost ration (BCR), growing mustard and boro rice in the same season was more profitable than growing any sole crop. The study revealed that remote sensing was effective for exploring boro rice cultivation area and driver of expansion.
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