Hyperspectral Characteristic Analysis Of Moisture Content Of Grassland Combustible And Its Effect Factors

Grassland fire does great harm to the grassland resources. Grassland fire seriously affect the development of animal husbandry, resulting in a large number of human and animal casualties, not only caused huge economic losses, but also affect the normal life of mankind, and even immeasurable for grassland ecosystem balance. While the moisture content as an important physical and chemical characteristics of combustible material, has a close relationship with the prairie fire. Therefore, the research content of great significance for grassland fire risk assessment, and to provide the basis for monitoring and early warning.This paper analyzes the hyper spectral characteristics of different combustible moisture content, and then analyzed for the effect of grassland combustible moisture factor, provide the basis for a large area of remote sensing combustible moisture of grassland. In this paper, the different moisture content combustible high spectrometry to obtain the spectral curve combustible different moisture content, the curve treatment to remove the envelope, get the curve removed the envelope after by the spectral curve analysis in the range of 1850 nm ~ 2050 nm, to reflect the water situation combustibles significant absorption Valley, spectral characteristics significantly, so choose where absorption spectral absorption characteristics of the valley. Select absorb Valley area, perimeter, depth and absorption index, and the moisture content of each grass species associated with the spectral index analysis, the moisture content of each grass valley area and absorb the most relevant, the correlation coefficient between Artemisia anethifolia moisture and absorption Valley area was 0.768, the correlation coefficient between Leymus chinensis moisture and absorption Valley area was 0.911, the correlation coefficient between Caramagrostis epigejos moisture and absorption Valley area was 0.693, the correlation coefficient between Phragmites communismoisture and absorption Valley area was 0.977. So select the vale area to establish model and then test it. The results were passed the significant test. On this basis, the paper further analyze the impact factor of grassland fuel moisture, and select one of two main factors: temperature and wind speed, interior design experimental study impact of these two factors on grassland fuel moisture content. Concluded: temperature at above 0 ℃, with increasing temperature the moisture content decreases, the rate of change is small at 20 ℃, 30 ℃, 40 ℃ when the changes are more obvious, after 50 ℃ slower rate; temperature at 0 When ℃, the temperature of the fuel moisture effects are small. Winds from the impact test the moisture content of the concluded: Winds greater fuel moisture is smaller, when the dehydration process is just beginning, the change rate is high moisture content, and when a certain time after the combustible surface moisture evaporation completely, then if the wind speed continues to increase, the moisture content is no longer changed.The results of the monitoring and early warning prairie fire risk assessment and fire fighting and rescue work has an important significance. High spectral characteristics of Fuels of different moisture content, for the use of remote sensing technology to monitor the grasslands of great significance. Analysis of the fuel moisture factor is also a large area, no damage, rapid implementation of remote monitoring to provide a theoretical basis. Accurate prediction of a parameter grassland fire early warning system is essential moisture content, this paper for the early warning system provides a theoretical basis. Argument at home and abroad in grassland fire early warning system is essential moisture content, this paper for the early warning system provides a theoretical basis.