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IRRIGATED AREA MAPPING TO ASSES AWD POTENTIAL OVER BANGLADESH From 2001-2017

机译:2001-2017年,孟加拉国的灌溉面积测算将对四轮驱动潜力进行评估

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Bangladesh is one of the countries that use 80% of groundwater withdrawal for agricultural irrigation. Due to the green revolution and irrigation technology development, the irrigated water demand increases day by day. Among the irrigation crops, rice is the highest water-consuming crops and 70% of the total cultivatable area of the country used for rice production. Excessive pumping of groundwater and climate change impacts the groundwater table gradually declined. Moreover, the traditional flooded irrigation rice production producing GHG's especially methane, which accelerated the climate changes. Alternate wetting and drying (AWD) irrigation system are a less water use and methane emission reduction techniques for a better solution to the dilemma. To better water resource management and planning in agriculture need to introduce AWD irrigation. The main objective of this study is to prepare an irrigated area map for AWD irrigation appraisal. The important things for irrigated area mapping for AWD assessment are - to monitoring the crop growth, Crop water loss and the crop water requirement. The important things for detecting the AWD irrigation is to detect the irrigated rice crop area because in rain-fed rice cultivation AWD irrigation is not applicable. In this study, the MODIS satellite images derived NDVI and ET time series data, LSWC data from AMSR/E and AMSR2, Rainfall data from GSMaP have been used for spatiotemporal analysis of irrigated area mapping. In this study, the crop evapotranspiration is higher than the effective precipitation in a region considered as irrigated area. By using atmospheric corrected MOD16A2 long time potential evapotranspiration and Effective Rainfall data from GSMaP are considered for assessment of Irrigated area. The result compared with the sub-national statistics and published data of the irrigated area of Bangladesh shows a positive co-relation and higher accuracy.
机译:孟加拉国是将80%的地下水抽取量用于农业灌溉的国家之一。由于绿色革命和灌溉技术的发展,灌溉水的需求量每天都在增加。在灌溉作物中,水稻是耗水量最高的作物,占该国水稻总耕种面积的70%。过度抽取地下水和气候变化影响地下水位逐渐下降。此外,传统的洪水灌溉水稻生产会产生温室气体,尤其是甲烷,从而加速了气候变化。交替润湿和干燥(AWD)灌溉系统减少了用水,减少了甲烷排放量,从而更好地解决了这一难题。为了更好地进行农业水资源管理和规划,需要引入AWD灌溉。这项研究的主要目的是为AWD灌溉评估准备灌溉区域图。进行AWD评估的灌溉面积图的重要内容是-监视作物生长,作物失水和作物需水量。检测AWD灌溉的重要内容是检测灌溉的水稻作物面积,因为在雨养水稻种植中AWD灌溉不适用。在这项研究中,将MODIS卫星图像导出的NDVI和ET时间序列数据,来自AMSR / E和AMSR2的LSWC数据,来自GSMaP的降雨数据用于灌溉面积图的时空分析。在这项研究中,作物的蒸散量高于被认为是灌溉区的有效降水量。通过使用经过大气校正的MOD16A2,可以考虑长时间的潜在蒸散量和来自GSMaP的有效降雨数据来评估灌溉面积。该结果与孟加拉国灌溉地区的地方统计数据和已发布的数据相比,具有正相关关系,并且准确性更高。

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