[ Objective] The study aimed to improve methods of monitoring Karst Rocky Desertification （KRD） control projects and increase the working efficiency. [Method] Based on remote sensing images with medium and high spat...[ Objective] The study aimed to improve methods of monitoring Karst Rocky Desertification （KRD） control projects and increase the working efficiency. [Method] Based on remote sensing images with medium and high spatial resolution, KRD control projects in Disi River basin in Puan County were monitored, that is, information of the project construction in the study area was extracted using supervised classification and hu- man-computer interactive interpretation, and the monitoring results were testified with the aid of GPS. [Result] It was feasible to monitor KRD con- trol projects in Disi River basin based on remote sensing images with medium and high resolution, and the monitoring accuracy was satisfactory, reaching above 80% or 90%, so the method is worthy of popularizing. [ Conclusion] Remote sensing images with medium and high resolution can be used to monitor other KRD control Droiects.展开更多
To combat desertification, the Chinese govern- ment has launched a series of Desertification Controlling Projects and Policies over the past several decades. However, the effect of these projects and policies remains ...To combat desertification, the Chinese govern- ment has launched a series of Desertification Controlling Projects and Policies over the past several decades. However, the effect of these projects and policies remains controversial due to a lack of suitable methods and data to assess them. In this paper, the authors selected the farming- pastoral region of the northern Shaanxi Province in China as a sample region and attempted to assess the effect of Desertification Controlling Projects and Policies launched after 2000 by combining remote sensing and farmer investigation data. The results showed that the combina- tion of these two complementary assessments can provide comprehensive information to support decision-making. According to the remote sensing and Net Primary Production data, the research region experienced an obvious desertification reversion between 2000 and 2010, and approximately 70% of this reversion can be explained by Desertification Controlling Projects and Policies. Farmer investigation data also indicated that these projects and policies were the dominating factor contributing to desertification reversion, and approxi- mately 70% of investigated farmers agreed with this conclusion. However, low supervision and subsidy levels were issues that limited the policy effect. Therefore, it is necessary for the government to enhance supervision, raise subsidy levels, and develop environmental protection regulations to encourage more farmers to participate in desertification control.展开更多
为了全面掌握岩溶区石漠化的空间分布特征,解决区域内遥感影像阴影区域石漠化信息"缺失"的问题,该文以广西平果县果化镇生态重建示范区为例,借助图像处理软件ENVI(environment for visualizing images)提取研究区域石漠化指...为了全面掌握岩溶区石漠化的空间分布特征,解决区域内遥感影像阴影区域石漠化信息"缺失"的问题,该文以广西平果县果化镇生态重建示范区为例,借助图像处理软件ENVI(environment for visualizing images)提取研究区域石漠化指数。在GIS技术支持下,利用地统计学的方法对剔除阴影区后的石漠化指数进行了空间变异特征分析。结果表明,研究区域石漠化指数主要受内在因子的共同作用,具有强烈的空间自相关性;Kriging插值结果表明,研究区域石漠化指数较高的区域主要分布在研究区的西南部和东北部,各石漠化等级的空间分布表现为条带状和斑块状分布。岩性和地形地貌条件是影响石漠化空间变异的主要因素。研究利用地统计学的方法很好地估计了阴影区石漠化指数的"缺失"信息,为岩溶区石漠化监控、评估提供了新的思路与方法。展开更多
基金Supported by the Key Science and Technology Projects of Guizhou Province,China[(2007)3017,(2008)3022]Major Special Project of Guizhou Province,China(2006-6006-2)
文摘[ Objective] The study aimed to improve methods of monitoring Karst Rocky Desertification （KRD） control projects and increase the working efficiency. [Method] Based on remote sensing images with medium and high spatial resolution, KRD control projects in Disi River basin in Puan County were monitored, that is, information of the project construction in the study area was extracted using supervised classification and hu- man-computer interactive interpretation, and the monitoring results were testified with the aid of GPS. [Result] It was feasible to monitor KRD con- trol projects in Disi River basin based on remote sensing images with medium and high resolution, and the monitoring accuracy was satisfactory, reaching above 80% or 90%, so the method is worthy of popularizing. [ Conclusion] Remote sensing images with medium and high resolution can be used to monitor other KRD control Droiects.
文摘To combat desertification, the Chinese govern- ment has launched a series of Desertification Controlling Projects and Policies over the past several decades. However, the effect of these projects and policies remains controversial due to a lack of suitable methods and data to assess them. In this paper, the authors selected the farming- pastoral region of the northern Shaanxi Province in China as a sample region and attempted to assess the effect of Desertification Controlling Projects and Policies launched after 2000 by combining remote sensing and farmer investigation data. The results showed that the combina- tion of these two complementary assessments can provide comprehensive information to support decision-making. According to the remote sensing and Net Primary Production data, the research region experienced an obvious desertification reversion between 2000 and 2010, and approximately 70% of this reversion can be explained by Desertification Controlling Projects and Policies. Farmer investigation data also indicated that these projects and policies were the dominating factor contributing to desertification reversion, and approxi- mately 70% of investigated farmers agreed with this conclusion. However, low supervision and subsidy levels were issues that limited the policy effect. Therefore, it is necessary for the government to enhance supervision, raise subsidy levels, and develop environmental protection regulations to encourage more farmers to participate in desertification control.
文摘为了全面掌握岩溶区石漠化的空间分布特征,解决区域内遥感影像阴影区域石漠化信息"缺失"的问题,该文以广西平果县果化镇生态重建示范区为例,借助图像处理软件ENVI(environment for visualizing images)提取研究区域石漠化指数。在GIS技术支持下,利用地统计学的方法对剔除阴影区后的石漠化指数进行了空间变异特征分析。结果表明,研究区域石漠化指数主要受内在因子的共同作用,具有强烈的空间自相关性;Kriging插值结果表明,研究区域石漠化指数较高的区域主要分布在研究区的西南部和东北部,各石漠化等级的空间分布表现为条带状和斑块状分布。岩性和地形地貌条件是影响石漠化空间变异的主要因素。研究利用地统计学的方法很好地估计了阴影区石漠化指数的"缺失"信息,为岩溶区石漠化监控、评估提供了新的思路与方法。
