99 results about "Thermal infrared remote sensing" patented technology

Industrial thermal pollution seriously harms urban ecological environment quality, while great manpower and material resources need to be consumed for field investigation of factories, and there is noiron and steel plant extraction method and process based on remote sensing means at present. Aiming at the problems, the invention discloses an iron and steel plant remote sensing extraction method based on industrial production activity characteristics. The method comprises the following steps: 1) carrying out Landsat8 remote sensing image radiation correction and surface temperature remote sensing inversion; 2) counting a surface temperature value distribution condition of a whole scene thermal infrared image, and determining a final threshold value of a first 4%-5% high temperature interval in the image; 3) carrying out I-type thermal anomaly identification: extracting and vectorizing a high-temperature region of the first 4%-5% temperature interval in the whole scene thermal infraredremote sensing image; 4) calculating an average value and a standard deviation according to the surface temperature value distribution condition of the whole scene thermal infrared image; 5) carryingout II-type thermal anomaly identification: extracting and vectorizing an abnormal change region of which the temperature change difference value in the same season is greater than a sum of the average value and a half standard deviation (i.e. Value is greater than mu+sigma / 2); and 6) fusing thermal anomaly extraction results, i.e., solving a union set of the I-type thermal anomaly identificationresult and the II-type thermal anomaly identification result to obtain a final thermal anomaly extraction result so as to lock a suspected iron and steel plant in a city.

The invention discloses a method for inverting topsoil volumetric water content by employing multi-temporal observation data of a geostationary meteorological satellite. The method mainly includes: a soil moisture inversion model is built; the land surface temperature and net surface shortwave radiation are inverted in a quantification manner by employing the data of the geostationary meteorological satellite, dimensionless treatment is performed on the land surface temperature and the net surface shortwave radiation, ellipse fitting is performed on the multi-temporal land surface temperature and the net surface shortwave radiation, an ellipse parameter corresponding to each pixel is obtained, and the parameters are regarded as input data of the soil moisture inversion model; an acquisition method of model coefficients is obtained; and specific requirements of dimensionless treatment are imposed on the land surface temperature and the net surface shortwave radiation. According to the method, the problems caused by the lack of polar orbiting satellite data information of the conventional optical and thermal infrared remote sensing soil moisture inversion method are solved.