Shimei Wei, Jinghu Pan, Wenliang Tuo
Remote Sensing Technology and Application, 2020 35 (4): 854
Air pollution characterized by PM2.5 pollutants poses severe challenges to the sustainable development of society and human health. Therefore, it is of great significance to clarify the spatial-temporal distribution and evolution of PM2.5 pollutants in China for regional joint prevention and control of PM2.5 pollutants. Based on the MODIS satellite aerosol products, meteorological basic data and PM2.5 pollutant monitoring site monitoring data, a geographically weighted regression model was established to simulate and estimate PM2.5 pollutant concentration in China in 2015 on the basis of aerosol and meteorological data pre-processing. In addition, the spatial distribution pattern, the season. . .
Xinrui Wang, Rui Jin, Jian Lin, Xiangfei Zeng, Zebin Zhao
Remote Sensing Technology and Application, 2020 35 (4): 892
Lakes in the Qinghai-Tibet Plateau are numerous and widely distributed, accounting for 41% and 57% of the total number and area of lakes in China, which are very important for the study of lakes in the whole country and even in the whole world. Remote sensing has been used to monitor the lake distribution for a long time, but optical remote sensing images are often obscured by clouds, from which it’s impossible to automatically extract complete lake boundaries. An automatic interpolation algorithm for lake boundary generation based on cloudy Landsat TM/OLI image and Shuttle Radar Topography Mission (SRTM) 30 m resolution Digital Elevation Model (DEM) is proposed. Firstly, supported by the pl. . .
Shuguo Wang, Chunfeng Ma, Zebin Zhao, Long Wei
Remote Sensing Technology and Application, 2020 35 (1): 22
Soil moisture is a key variable in land surface system. Using active microwave remote sensing observations, especially Synthetic Aperture Radar (SAR), has been proven a promising way on the estimation of spatial-temporal distribution of surface soil moisture by a lot of studies. However, there is still challenging in this field, because of the impacts caused by surface roughness and vegetation cover. In this context, this paper proposes an optimal estimation approach combined using SAR and optical remote sensing imagery, in order to retrieve vegetation water content, roughness and soil moisture simultaneously. First, water-cloud model is used to correct vegetation effect on microwave scatter. . .
Guo Jian, Liu Liangyun, Liu Xinjie, Hu Jiaochan, Jing Xia
Remote Sensing Technology and Application, 2019 34 (3): 475
Tower-based spectral observation is an important connecting bridge between flux sites and satellite remote sensing data，and the effect of atmospheric absorption and scattering between horizontal surface and tower-based platform on the atmospheric absorption band such as O2-A is difficult to ignore.Firstly，the influence of atmospheric radiation transfer on the up-welling radiance and down-welling irradiance of the tower-based platform is analyzed，and the atmospheric correction method of based on upward and downward transmittance is established，that is，the influence of the upwelling radiance and down-welling irradiance is corrected by the direct transmittance and the total transmittance.Secon. . .
Ding Haining, Chen Yu, Chen Yunzhi
Remote Sensing Technology and Application, 2019 34 (2): 283
The information of soil composition and its spatial distribution could be obtained quickly and efficiently by using spectral technology.In order to accurately estimate the content and distribution characteristics of soil Fe elements in the loess plateau，the typical loess in the eastern part of Yulin was collected in the field.Laboratory physical and chemical analysis，spectral determination and pretreatment，analysis of the correlation between soil iron content and reflection spectrum，screening sensitive bands，using partial least squares modeling to determine the best estimation model.The spectral reflectivity and the selected sensitive bands are mainly distributed at 500 nm，870 nm，1 700 nm an. . .
Gu Xiaotian, Gao Xiaohong, Ma Huijuan, Shi Feifei, Liu Xuemei, Cao Xiaomin
Remote Sensing Technology and Application, 2019 34 (1): 67
Aiming at the characteristics of varied and complex geomorphic types，crisscross network of ravines and broken terrain in high altitude complicated terrain regions，it is very important to study and find the rapid and effective land use/land cover classification method for obtaining and timely updating of land use information.Taking the Huangshui river basin located in the transitional zone between the Loess Plateau and the Qinghai-Tibet Plateau as acasestudy area，the objective of this study is to explore a kind of effective information extraction method from comparison of four kinds machine learning methods for complicated terrain regions.based on Landsat 8 OLI satellite data，DEM and co. . .