Due to the limited scenes that synthetic aperture radar(SAR)satellites can detect,the full-track utilization rate is not high.Because of the computing and storage limitation of one satellite,it is difficult to process...Due to the limited scenes that synthetic aperture radar(SAR)satellites can detect,the full-track utilization rate is not high.Because of the computing and storage limitation of one satellite,it is difficult to process large amounts of data of spaceborne synthetic aperture radars.It is proposed to use a new method of networked satellite data processing for improving the efficiency of data processing.A multi-satellite distributed SAR real-time processing method based on Chirp Scaling(CS)imaging algorithm is studied in this paper,and a distributed data processing system is built with field programmable gate array(FPGA)chips as the kernel.Different from the traditional CS algorithm processing,the system divides data processing into three stages.The computing tasks are reasonably allocated to different data processing units(i.e.,satellites)in each stage.The method effectively saves computing and storage resources of satellites,improves the utilization rate of a single satellite,and shortens the data processing time.Gaofen-3(GF-3)satellite SAR raw data is processed by the system,with the performance of the method verified.展开更多
Land cover is recognized as one of the fundamental terrestrial datasets required in land system change and other ecosystem related researches across the globe. The regional differentiation and spatial-temporal variati...Land cover is recognized as one of the fundamental terrestrial datasets required in land system change and other ecosystem related researches across the globe. The regional differentiation and spatial-temporal variation of land cover has significant impact on regional natural environment and socio-economic sustainable development. Under this context, we reconstructed the history land cover data in Siberia to provide a comparable datasets to the land cover datasets in China and abroad. In this paper, the European Space Agency(ESA) Global Land Cover Map(GlobCover), Landsat Thematic Mapper(TM), Enhanced Thematic Mapper(ETM), Multispectral Scanner(MSS) images, Google Earth images and other additional data were used to produce the land cover datasets in 1975 and 2010 in Siberia. Data evaluation show that the total user′s accuracy of land cover data in 2010 was 86.96%, which was higher than ESA GlobCover data in Siberia. The analysis on the land cover changes found that there were no big land cover changes in Siberia from 1975 to 2010 with only a few conversions between different natural forest types. The mainly changes are the conversion from deciduous needleleaf forest to deciduous broadleaf forest, deciduous needleleaf forest to mixed forest, savannas to deciduous needleleaf forest etc., indicating that the dominant driving factor of land cover changes in Siberia was natural element rather than human activities at some extent, which was very different from China. However, our purpose was not just to produce the land cover datasets at two time period or explore the driving factors of land cover changes in Siberia, we also paid attention on the significance and application of the datasets in various fields such as global climate change, geopolitics, cross-border cooperation and so on.展开更多
This research was conducted for 3 cropping seasons at Elobeid Research Station in Western Sudan. The objectives were to improve the irrigation water and soil management and crop yield by evaluating the response of sor...This research was conducted for 3 cropping seasons at Elobeid Research Station in Western Sudan. The objectives were to improve the irrigation water and soil management and crop yield by evaluating the response of sorghum crop to different supplementary irrigation regimes and soil amendments management in flood basin irrigated scheme. The existing flood irrigation practice was basically conducive to late planting, weed growth, late season water stress and pest and diseases attack. Four levels of each irrigation regimes and farm yard manure （FYM） treatments arranged in split-plot design were tested. Rainfall, field capacity, irrigation water added, profile water content, plant height, yield components and water use efficiency were measured. Grain yield was significantly increased （p 〈 0,01） with irrigation treatments where 1919, 1870 and 878 kg/ha were obtained for one, two and no irrigation treatments, respectively. The 3 irrigations treatment has produced relatively lower grain yield （1679 kg/ha）. FYM treatment up to 4-8 t/ha showed increase in grain yield. Water added in 1, 2 and 3 irrigation treatments amounts to 4475, 5302 and 6035 m3/ha, respectively which supplmented the rainfall by 23%, 45% and 65%, respectively. Water use efficiency was greater with 1 and 2 irrigation treatments and 4 t/ha FYM which reached 0.43, 0.35 and 0.28 kg/m3, respectively. The result concludes that providing supplementary irrigation from crop establishment to mid season was found sufficient to improve crop productivity.展开更多
基金Project(2017YFC1405600)supported by the National Key R&D Program of ChinaProject(18JK05032)supported by the Scientific Research Project of Education Department of Shaanxi Province,China。
文摘Due to the limited scenes that synthetic aperture radar(SAR)satellites can detect,the full-track utilization rate is not high.Because of the computing and storage limitation of one satellite,it is difficult to process large amounts of data of spaceborne synthetic aperture radars.It is proposed to use a new method of networked satellite data processing for improving the efficiency of data processing.A multi-satellite distributed SAR real-time processing method based on Chirp Scaling(CS)imaging algorithm is studied in this paper,and a distributed data processing system is built with field programmable gate array(FPGA)chips as the kernel.Different from the traditional CS algorithm processing,the system divides data processing into three stages.The computing tasks are reasonably allocated to different data processing units(i.e.,satellites)in each stage.The method effectively saves computing and storage resources of satellites,improves the utilization rate of a single satellite,and shortens the data processing time.Gaofen-3(GF-3)satellite SAR raw data is processed by the system,with the performance of the method verified.
基金Under the auspices of National Natural Science Foundation of China(No.41271416)Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA05090310)
文摘Land cover is recognized as one of the fundamental terrestrial datasets required in land system change and other ecosystem related researches across the globe. The regional differentiation and spatial-temporal variation of land cover has significant impact on regional natural environment and socio-economic sustainable development. Under this context, we reconstructed the history land cover data in Siberia to provide a comparable datasets to the land cover datasets in China and abroad. In this paper, the European Space Agency(ESA) Global Land Cover Map(GlobCover), Landsat Thematic Mapper(TM), Enhanced Thematic Mapper(ETM), Multispectral Scanner(MSS) images, Google Earth images and other additional data were used to produce the land cover datasets in 1975 and 2010 in Siberia. Data evaluation show that the total user′s accuracy of land cover data in 2010 was 86.96%, which was higher than ESA GlobCover data in Siberia. The analysis on the land cover changes found that there were no big land cover changes in Siberia from 1975 to 2010 with only a few conversions between different natural forest types. The mainly changes are the conversion from deciduous needleleaf forest to deciduous broadleaf forest, deciduous needleleaf forest to mixed forest, savannas to deciduous needleleaf forest etc., indicating that the dominant driving factor of land cover changes in Siberia was natural element rather than human activities at some extent, which was very different from China. However, our purpose was not just to produce the land cover datasets at two time period or explore the driving factors of land cover changes in Siberia, we also paid attention on the significance and application of the datasets in various fields such as global climate change, geopolitics, cross-border cooperation and so on.
文摘This research was conducted for 3 cropping seasons at Elobeid Research Station in Western Sudan. The objectives were to improve the irrigation water and soil management and crop yield by evaluating the response of sorghum crop to different supplementary irrigation regimes and soil amendments management in flood basin irrigated scheme. The existing flood irrigation practice was basically conducive to late planting, weed growth, late season water stress and pest and diseases attack. Four levels of each irrigation regimes and farm yard manure （FYM） treatments arranged in split-plot design were tested. Rainfall, field capacity, irrigation water added, profile water content, plant height, yield components and water use efficiency were measured. Grain yield was significantly increased （p 〈 0,01） with irrigation treatments where 1919, 1870 and 878 kg/ha were obtained for one, two and no irrigation treatments, respectively. The 3 irrigations treatment has produced relatively lower grain yield （1679 kg/ha）. FYM treatment up to 4-8 t/ha showed increase in grain yield. Water added in 1, 2 and 3 irrigation treatments amounts to 4475, 5302 and 6035 m3/ha, respectively which supplmented the rainfall by 23%, 45% and 65%, respectively. Water use efficiency was greater with 1 and 2 irrigation treatments and 4 t/ha FYM which reached 0.43, 0.35 and 0.28 kg/m3, respectively. The result concludes that providing supplementary irrigation from crop establishment to mid season was found sufficient to improve crop productivity.
