Changbai Mountain Area Surface Temperature Nomaly Of Remote Sensing Research

Extraction of temperature anomaly in the urban heat island effect、 the forestfire、drought monitoring、before in the intensity of earthquake prediction、geothermalresources distribution、strong wind or a harbinger of the coming floods, etc. havebeen applied。The temperature anomaly，can make people less natural hazards, reducethe production、life and the resources on the economic loss，It can also be a goodresource for human use，benefit of future generations。Thermal infrared remote sensing technology has an important significance inland surface temperature retrieval。It with large amount of information, high accuracyand less restricted by ground conditions applied to the extraction of land surfacetemperature anomalies information investigation。Based on the radiative transfer equation method, single window algorithm, splitwindow algorithm, the general single-channel algorithm in the study,which commonlyused on the basis of temperature inversion algorithm, based on the inversion precisionand Landsat8, Landsat7data, this paper select radiative transfer equation algorithm toland surface temperature inversion of the study area, analyse the three time series oftemperature inversion result histogram, belong to normal distribution, can setthreshold segmentation extraction temperature on the density anomaly information,seen from extraction result of temperature anomaly in three time series of themountain slope is no exception, by empirical statistical terrain correction method toeliminate caused by different solar radiation intensity of various features to accept thesame thing different spectrum with the spectrum of the phenomenon of foreign body,on the basis of empirical statistical terrain correction algorithm again surfacetemperature inversion of three time series, extract the surface temperature anomalyinformation discovery of mountain slope to appear temperature anomalies, proveexperience statistics terrain correction method can weak the mountain slope to theinterference temperature anomaly information extraction.The study area is located in the XiBeiLu of ChangBai Mountain, high vegetationcoverage，Northwest of undulating terrain is relatively large，Southeast of terrain isrelatively flat，Vegetation、 topography、 mountain slope、water、ice、snow、building and so on have had more or less influence on the accuracy of the temperatureanomaly extraction，In this paper, considering topography, vegetation coverage of these two factors.In this paper, topography, vegetation coverage of these two factors on surfacetemperature anomaly information extraction, mainly achieved the following results:1. In the complex terrain of the area, we can study area partitioned by undulatingterrain degree of land surface temperature inversion, which helps to reduce theinfluence of topography on the temperature anomaly information extraction。2. Through the time series of temperature anomaly information of vegetationcoverage of the image are extracted, founding that the accuracy of extraction is highlyaffected by the factors of vegetation, select the vegetation coverage less time imageshelp to reduce the influence of vegetation cover on the temperature anomalyextracting information。...