Landsat 8Bands’ 1 to 7 spectral vectors plus machine learning to improve land use/cover classification using Google Earth Engine

Mfondoum, Alfred Homère Ngandam; Hakdaoui, Sofia; Batcha, Roseline

doi:10.1080/19475683.2022.2026475

Cited by 2 publications

(2 citation statements)

References 51 publications

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“…For example, the prevention of WP and the different dimensions of WP control planning are key to solving the problem of WP. In order to solve this problem, it is necessary to implement joint management mechanisms for water security prevention and control, combining economic and technological concepts and the link between the state of the aquatic environment and WP, which is highly significant for WP control [1]. Some researchers have studied a watershed and used the hydrodynamic model MKE11 to modify water quality under different hydrological conditions.…”

Section: Introductionmentioning

confidence: 99%

Optimization Method of River Water Pollution Prevention and Early Warning System Supporting Spectrum Classification and 3D Remote Sensing Technology

2023

WPPCP

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In recent years, people around the world are living in better and better conditions, and people are demanding more and more from their environment, and pollution of the water environment has become the most serious environmental hazard. In many areas, due to the strong development of agriculture and industry, their pollutants are discharged directly into nearby river basins, leading to eutrophication of water bodies. Failure to carry out river water pollution (WP) prevention and control not only poses a major threat to the health of the people in society, but also has a serious impact on the harmonious and stable development of society. Therefore, this paper uses 3D remote sensing technology (RST) to collect images of river basins, generate remote sensing maps of river basins, extract features of remote sensing images using spectrum classification, and establish river water quality monitoring stations to obtain water quality data of each basin section. The application of spectrum classification and 3D RST provides technical support for the construction of river WP prevention and early warning system (EWS), helps to monitor the water quality in river basins and early warning WP accidents, is conducive to promoting the development of WP prevention, and improves the current crisis of river WP prevention in China.

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Section: Introductionmentioning

confidence: 99%

Optimization Method of River Water Pollution Prevention and Early Warning System Supporting Spectrum Classification and 3D Remote Sensing Technology

2023

WPPCP

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“…The Artificial Neutral Networks (ANN) algorithm is an algorithm that can provide appropriate solutions to detect sensor data that is typically nonlinear, complex, inaccurate, and prone to imperfection or error. Image classification using neural networks is performed by determining the tissue property and then applying a regression algorithm [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Improving the methods of Agricultural mapping using remote sensing data

Oymatov,

Mamatkulov,

Maksudov

et al. 2023

E3S Web Conf.

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Based on remote sensing data, it is possible to create a real-time database of agricultural sectors of the study area, in particular, types of crops, fisheries, arable land, and other sectors of agriculture. Remote sensing techniques can also be used to help determine crop yields, parasite spread, increased damage, and soil conditions using satellite imagery and aerial photography. In agricultural mapping, a classification algorithm is required that ensures the reliability and accuracy of the data extracted from the remote sensing data. Research and experiments have shown that increasing the accuracy of classification results requires not only the selection of a perfect algorithm but also a high level of knowledge and skills in the field in which the research is conducted. The mapping of agricultural sectors, in particular the classification of crops, also requires close acquaintance with the existing types of crops in the region, their dependence on natural and climatic conditions, and their development trends.

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Landsat 8Bands’ 1 to 7 spectral vectors plus machine learning to improve land use/cover classification using Google Earth Engine

Cited by 2 publications

References 51 publications

Optimization Method of River Water Pollution Prevention and Early Warning System Supporting Spectrum Classification and 3D Remote Sensing Technology

Optimization Method of River Water Pollution Prevention and Early Warning System Supporting Spectrum Classification and 3D Remote Sensing Technology

Improving the methods of Agricultural mapping using remote sensing data

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