The paper describes the capabilities and opportunities of Remote Sensing and GIS technologies for monitoring the rangeland vegetation and its dynamics under different type of factors. Potential of satellite data of La...The paper describes the capabilities and opportunities of Remote Sensing and GIS technologies for monitoring the rangeland vegetation and its dynamics under different type of factors. Potential of satellite data of Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Imagery for monitoring the rangeland condition of Karnabchul semi desert was exemined. The paper presents the first stage of a method for vegetation assessment of rangelands based on spectral vegetation indices such as Normalized Difference Vegetation Index (NDVI) derived from remotely sensed data. Initial results of the research showed the Landsat satellite images can provide relevant information about current condition of rangeland vegetation. It is recommended to conduct further studies using remotely sensed data for improvement of the rangeland monitoring methods.展开更多
The environmental monitoring dataset of Rivne region territory (Ukraine) was analyzed using remote sensing technology and statistical analysis. The article reveals approaches to anthropogenic impact specificity asse...The environmental monitoring dataset of Rivne region territory (Ukraine) was analyzed using remote sensing technology and statistical analysis. The article reveals approaches to anthropogenic impact specificity assessment based on methods of correlation analysis. The information technology to assess soil quality based on satellite images decoding was created.展开更多
文摘The paper describes the capabilities and opportunities of Remote Sensing and GIS technologies for monitoring the rangeland vegetation and its dynamics under different type of factors. Potential of satellite data of Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Imagery for monitoring the rangeland condition of Karnabchul semi desert was exemined. The paper presents the first stage of a method for vegetation assessment of rangelands based on spectral vegetation indices such as Normalized Difference Vegetation Index (NDVI) derived from remotely sensed data. Initial results of the research showed the Landsat satellite images can provide relevant information about current condition of rangeland vegetation. It is recommended to conduct further studies using remotely sensed data for improvement of the rangeland monitoring methods.
文摘The environmental monitoring dataset of Rivne region territory (Ukraine) was analyzed using remote sensing technology and statistical analysis. The article reveals approaches to anthropogenic impact specificity assessment based on methods of correlation analysis. The information technology to assess soil quality based on satellite images decoding was created.