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Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010

机译:使用MODIS 500M数据在2010年使用MODIS 500M数据绘制季节性水稻农作物范围和地区孟加拉国

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摘要

Rice is the most consumed staple food in the world and a key crop for food security. Much of the world’s rice is produced and consumed in Asia where cropping intensity is often greater than 100% (more than one crop per year), yet this intensity is not sufficiently represented in many land use products. Agricultural practices and investments vary by season due to the different challenges faced, such as drought, salinity, or flooding, and the different requirements such as varietal choice, water source, inputs, and crop establishment methods. Thus, spatial and temporal information on the seasonal extent of rice is an important input to decision making related to increased agricultural productivity and the sustainable use of limited natural resources. The goal of this study was to demonstrate that hyper temporal moderate-resolution imaging spectroradiometer (MODIS) data can be used to map the spatial distribution of the seasonal rice crop extent and area. The study was conducted in Bangladesh where rice can be cropped once, twice, or three times a year.
机译:米饭是世界上消费最多的主食,以及粮食安全的关键作物。在亚洲生产和消费的世界大部分繁殖强度往往大于100%(每年多种作物),然而这种强度在许多土地使用产品中都没有充分代表。由于干旱,盐度或洪水等不同挑战,以及品种选择,水源,投入和作物建立方法等不同的要求,农业实践和投资因季节而异。因此,关于季节性范围的空间和时间信息是与增加农业生产力和有限自然资源的可持续利用相关的决策的重要意义。本研究的目标是证明超时时间中分辨率成像光谱辐射器(MODIS)数据可用于映射季节性稻田范围和面积的空间分布。该研究在孟加拉国进行,其中米饭可以播种一次,每年两次或三次。

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