Motion blur scales identification based on autocorrelation of projection

Zhang, Cai-fang

doi:10.3724/sp.j.1087.2008.01721

Cited by 3 publications

(2 citation statements)

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“…The SEBS model first calculates the atmospheric turbulent flux and evaporation ratio based on the surface energy balance equation, and then estimates the surface energy flux over a large area through a series of surface physical parameters obtained from remote sensing combined with the simultaneously observed meteorological data on the ground [41]. It can be used to estimate the daily evapotranspiration in a large area based on the satellite data and meteorological observation data [42]. Furthermore, scholars have tested its validity in estimating the evapotranspiration during different seasons [43].…”

Section: Evapotranspirationmentioning

confidence: 99%

A Review of Remote Sensing for Environmental Monitoring in China

et al. 2020

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The natural environment is essential for human survival and development since it provides water resources, land resources, biological resources and climate resources etc. As a developing country, China has witnessed a significant change in the natural environment in recent decades; and therefore, monitoring and mastering the status of the environment is of great significance. Due to the characteristics of large-scale and dynamic observation, remote sensing technology has been an indispensable approach for environmental monitoring. This paper reviews the satellite resources, institutions and policies for environmental monitoring in China, and the advances in research and application of remote sensing from five aspects: ecological index retrieval, environmental monitoring in protected areas, rural areas, urban areas and mining areas. The remote sensing models and methods for various types of environmental monitoring, and the specific applications in China are comprehensively summarized. This paper also points out major challenges existing at the current stage: satellite sensor problems, integrated use challenges of datasets, uncertainty in the retrieval process of ecological variables, scaling effect problems, a low degree of automation, the weak ability of forecasting and comprehensive analysis, and a lack of computational power for massive datasets. Finally, the development trend and future directions are put forward to direct the research and application of environmental monitoring and protection in the new era.

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Section: Evapotranspirationmentioning

confidence: 99%

A Review of Remote Sensing for Environmental Monitoring in China

et al. 2020

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“…water, and the coastal and inland water bodies are the case 2 water (Chebud et al, 2012). ), the TSM is one of the important monitoring indicators of water quality and water environment (Cole & Cloern, 1987;Doxaran et al, 2002;Liu & Rossiter, 2008;May et al, 2003;Zhang, Wu, et al, 2015). The TSM in water bodies has a strong absorption and scattering effect on the light (Eldin & Zhang, 2017).…”

Section: Research Articlementioning

confidence: 99%

Inversion and distribution of total suspended matter in water based on remote sensing images—A case study on Yuqiao Reservoir, China

Cao

Han

et al. 2020

Water Environment Research

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In this paper, Yuqiao Reservoir is taken as the research object. The total suspended matter (TSM) produced by the economic development in the upper reaches of the reservoir and its surrounding areas has brought great ecological harm to the safe operation of the reservoir. Satellite remote sensing technology provides a good way to obtain the temporal and spatial variation of TSM in the study area. Two field surveys were carried out in the Yuqiao Reservoir, a total of 44 sampling points collected in the two tests. The spectral data and concentration of TSM were obtained. We developed and validated a robust empirical model to estimate the concentration of TSM in the water of the Yuqiao Reservoir for the first time. The TSM distribution map of the Yuqiao Reservoir in 2013-2018 is retrieved based on Landsat 8 OLI images. This paper analyzes the spatial distribution characteristics of TSM concentration in the Yuqiao Reservoir for several years, as well as the interannual, seasonal, and monthly variation laws and development trends. The results show that the spatial distribution of TSM in Yuqiao Reservoir shows a decreasing trend from the periphery to the center; the interannual changes are mainly as follows: The annual change trend of TSM in Yuqiao Reservoir is not obvious; the seasonal changes are significant: the highest in summer (higher than 40 mg/L), the second in autumn, and the lowest in spring and winter (lower than 15 mg/L); and the monthly changes show regular fluctuations: In a year cycle, the concentration of TSM generally shows an inverted V-shaped trend; that is, TSM increases gradually from January to August and decreases gradually from August to December. The research results of this paper can be applied to other similar types of land water bodies, which will promote the wide application of Landsat 8 OLI images in the monitoring of TSM in lakes, rivers, and reservoirs in different regions across China, and provide data support for the scientific management of the safe operation of research areas.

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