Abstract: The mining industry has been operating across the globe for millennia, but it is only in the last 50 years that remote sensing technology has enabled the visualization, …
Remote sensing technology and data have been used in a number of studies connected with mining and even more about environmental consequences connected with mines activities [5] [6][7][8]. With ...
How remote sensing software is used for Mining Applications. Many organizations make use of the Geomatica software suite to derive information to be used for mining applications. Prospection (the search for mineral resources and deposits) can make use of medium resolution imagery from sensors such as Landsat-8 or Sentinel-1/2 to …
Hyperspectral remote sensing has advantages in monitoring soil heavy metal concentration. In this study, AHSI remote sensing imagery was used to predict and map soil Cu concentration in a mining area. Considering different spectral responses of hyperspectral bands, a variable weighting method was proposed to weight the …
1. Introduction. In remote sensing, energy is transmitted through space, which interact with matter at the earth's surface and recorded by a sensor on a platform (Campbell and Wynne 2011).Electromagnetic energy sensors operate from space borne and air borne platforms used in inventorying, surveying and monitoring of earth …
Several deficiencies exist in the present evaluation of land reclamation quality in mining areas. These include the absence of an established set of evaluation index systems and standard acceptance criteria, as well as the use of traditional sampling techniques, which are costly and in efficiency, and time-consuming. Compared with the …
(1) Background: Coal mining operations caused severe land subsidence and altered the distributions of soil nutrients that influenced by multiple environmental factors at different scales. However, the prediction performances for soil nutrients based on their scale-specific relationships with influencing factors remains undefined in the coal …
Remote sensing. Mining. Impact assessment. Land use change. 1. Introduction. Mining is one of few industries that change entire landscapes, making it the …
Remote sensing (RS) is a powerful tool that can be used to monitor the tailings storage facility; stockpile; mining and post-mining inducted ground deformations; open-pit mines; slope design; hydro-, wind-, and solar-power installations; surface deformations around geothermal power plants; and other different technical …
Underground mining activity has existed for more than 100 years in Nansi lake. Coal mining not only plays a supporting role in local social and economic development but also has a significant impact on the ecological environment in the region. Landsat series remote sensing data (1988~2019) are used to research the impact of …
Remote Sensing in the Mining Industry: An Overview. To tackle these issues and drive the mining industry forward toward a smarter, more sustainable future …
The mining industry has been operating across the globe for millennia, but it is only in the last 50 years that remote sensing technology has enabled the visualization, mapping and assessment of mining impacts and landscape recovery. Our review of published literature (1970–2019) found that the number of ecologically focused remote sensing studies …
How Is Remote Sensing Used In The Mining Industry? Remote observation on the planet's surface with satellites is applicable during all stages of …
Remote sensing plays a crucial role in monitoring land reclamation efforts. It helps track the progress of reforestation, soil stabilization, and ecosystem restoration, ensuring that mined areas are rehabilitated effectively. 7. Water Resource Management. Mining operations often impact local water resources.
The earliest application for remote-sensing monitoring is to compare the data of different years (that is, the comparison of multi-temporal classification results). ... GeoEye-1, and other remote sensing data to monitor the mining circumstance in the Dexing copper mine [31,34,35]. However, the existing methods for the study of the …
This paper systematically reviews 71 studies (1996–2021) that utilized spatially integrated approaches to evaluate socioeconomic mining impacts. The number …
NASA's Applied Remote Sensing Training Program 4 What is Remote Sensing? Remote sensingis obtaining information about an object from a distance. Photography is a very common form of remote sensing. There are different ways to collect data, and different sensors are used depending on the application. Some methods collect ground-based data,
In summary, remote sensing data can be used to simulate the amount of dew under different underlying surface conditions in arid and semiarid areas. As a non-negligible part of the water cycle, the use of …
Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge () for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good …
Remote Sensing Roadmap for Mineral Mapping using Satellite Imagery. Abstract: The application of data mining in remote sensing has been expanding encompassing …
In this paper, taking gaofen-2 optical remote sensing image as the data source, the remote sensing image sample set of open-pit mining area is constructed by manual annotation. Based on the sample set, the shallow texture features of the image are constructed, and part of the sample sets are put into the deep neural network for training.
Mining produces several environmental, social, and economic impacts which can be analysed spatially using remote sensing (RS) and geographical information systems (GIS). This paper provides an ...
Environmental impact assessment is now an integral part of mining operations. Remote sensing data enables the identification, delineating, and monitoring of pollution sources and affected areas, including derelict land, and changes in surface land use and to water bodies. The aim of this work was to evaluate the use of multi-temporal Landsat-5 ...
Application of Remote Sensing In Mining. 1. Identifying Potential Mining Sites. 2. Geological Mapping. 3. Targeted Exploration. 4. Mineral and Resource …
The recent development in remote sensing imagery and the use of remote sensing detection feature spectrum information together with the geochemical data is very useful for the surface element quantitative remote sensing inversion study. This aim of this article is to select appropriate methods that would make it possible to have rapid …
Here, we produce a global mining land use dataset via remote sensing analysis of high-resolution, publicly available satellite imagery. The dataset comprises 74,548 polygons, covering ~66,000...
While it is vital for the economy, illegal mining wreaks havoc on the environment. Remote sensing, with its watchful eye, comes to the rescue here. How, you ask? Let's explore. 1. Identifying Illegal Mining Sites. Remote sensing plays a crucial role in identifying illegal mining sites, even in remote and densely vegetated regions.
Environmental impact assessment is now an integral part of mining operations. Remote sensing data enables the identification, delineating, and monitoring of pollution sources and affected areas, including derelict land, and changes in surface land use and to water bodies. The aim of this work was to evaluate the use of multi-temporal Landsat-5 ...
Hence, there is a great unexplored potential for utilising remote sensing, especially historical Landsat data, to support social studies in mining landscapes. Additionally, participatory mapping approaches can be incorporated to capture land use classes with finer thematic resolution, such as region-specific agriculture, that are difficult …
This remote sensing method could be beneficial to safety and environmental management in the mining area. ... Taking Changhe Mining Area as an example, tailings ponds were extracted by using Landsat 8 OLI images based on both spectral and texture characteristics. Firstly, ultra-low-grade iron-related objects (i.e., tailings and iron ore) …