On the basis of actual situations of Guangdong Province, using Factor Analysis Approach and Quantitative Analysis Method, we built index system by four factors, namely, extent of farmland connectivity, local financial...On the basis of actual situations of Guangdong Province, using Factor Analysis Approach and Quantitative Analysis Method, we built index system by four factors, namely, extent of farmland connectivity, local financial support, grain production capacity and farmland consolidation potential. Finally, we obtained that the areas with total scores of evaluation higher than 50 points are key construction areas of high-standard capital farmland in Guangdong Province. In total, there are 40 key construction areas, including 16 in plain areas of the Pearl River Delta, 9 in coastal regions of east of Guangdong, 10 in coastal regions of west of Guangdong, and 5 in northwest mountainous regions of Guangdong. Besides, we put forward construction direction of these 4 capital farmland areas.展开更多
【目的】针对以往土壤侵蚀研究中空间连续性降水量数据获取困难以及高植被覆盖区植被覆盖管理因子估算精度不高的问题,本研究尝试引入多源遥感数据进行空间尺度的土壤侵蚀评价。【方法】基于GPM_3IMERGM、LANDSAT8影像数据获取的降雨侵...【目的】针对以往土壤侵蚀研究中空间连续性降水量数据获取困难以及高植被覆盖区植被覆盖管理因子估算精度不高的问题,本研究尝试引入多源遥感数据进行空间尺度的土壤侵蚀评价。【方法】基于GPM_3IMERGM、LANDSAT8影像数据获取的降雨侵蚀量因子(R)和植被覆盖管理因子(C)改进了修正土壤流失模型(RUSLE),并利用改进的RUSLE模型完成研究区土壤侵蚀状况遥感制图。【结果】研究区土壤侵蚀总量为5.12×10^(7) t a^(−1),平均土壤侵蚀模数为7.38 t hm^(−2) a^(−1),受土壤侵蚀影响的总面积为1841.86 km^(2),占土地总面积的24.77%。从土壤侵蚀等级来看,侵蚀强度总体表现为微度和轻度,水土保护情况整体良好。空间分布上,不同侵蚀等级的布局呈现出片状分布与点块状分布相结合的特点;广州市中部和南部的行政区较市区外围和北部的行政区而言,侵蚀状况更轻微。【结论】GPM卫星数据和EVI指数的引入显著提高了RUSLE模型中两个关键因子和土壤侵蚀强度的估算精度,其成果可为广州市区域水土保持和生态环境建设工作提供理论依据和实践参考。展开更多
基金Supported by the Project of Monitoring System for Farmland Quality Grade of Guangdong Province (2011B020313020)
文摘On the basis of actual situations of Guangdong Province, using Factor Analysis Approach and Quantitative Analysis Method, we built index system by four factors, namely, extent of farmland connectivity, local financial support, grain production capacity and farmland consolidation potential. Finally, we obtained that the areas with total scores of evaluation higher than 50 points are key construction areas of high-standard capital farmland in Guangdong Province. In total, there are 40 key construction areas, including 16 in plain areas of the Pearl River Delta, 9 in coastal regions of east of Guangdong, 10 in coastal regions of west of Guangdong, and 5 in northwest mountainous regions of Guangdong. Besides, we put forward construction direction of these 4 capital farmland areas.
文摘【目的】针对以往土壤侵蚀研究中空间连续性降水量数据获取困难以及高植被覆盖区植被覆盖管理因子估算精度不高的问题,本研究尝试引入多源遥感数据进行空间尺度的土壤侵蚀评价。【方法】基于GPM_3IMERGM、LANDSAT8影像数据获取的降雨侵蚀量因子(R)和植被覆盖管理因子(C)改进了修正土壤流失模型(RUSLE),并利用改进的RUSLE模型完成研究区土壤侵蚀状况遥感制图。【结果】研究区土壤侵蚀总量为5.12×10^(7) t a^(−1),平均土壤侵蚀模数为7.38 t hm^(−2) a^(−1),受土壤侵蚀影响的总面积为1841.86 km^(2),占土地总面积的24.77%。从土壤侵蚀等级来看,侵蚀强度总体表现为微度和轻度,水土保护情况整体良好。空间分布上,不同侵蚀等级的布局呈现出片状分布与点块状分布相结合的特点;广州市中部和南部的行政区较市区外围和北部的行政区而言,侵蚀状况更轻微。【结论】GPM卫星数据和EVI指数的引入显著提高了RUSLE模型中两个关键因子和土壤侵蚀强度的估算精度,其成果可为广州市区域水土保持和生态环境建设工作提供理论依据和实践参考。
