This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of "target detection→scene classification→semantic …
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 …
Monitoring the impact of coal mining and thermal power industry on landuse pattern in and around Singrauli coalfield using remote sensing data and GIS. J. Indian Soc. Remote Sens. 25, 61. Slonecker, E.T., Benger, M.J., 2001. Remote sensing and mountaintop mining. Remote Sensing Rev. 20, 293–322.
Monitoring changes triggered by mining activities is crucial for industrial controlling, environmental management and regulatory compliance, yet it poses significant challenges due to the vast and often remote locations of mining sites. Remote sensing technologies have increasingly become indispensable to detect and analyze these …
Remote Sensing in the Mining Industry: An Overview. To tackle these issues and drive the mining industry forward toward a smarter, more sustainable future innovation will be required. Key technological advances require cutting-edge applications. Remote sensing has provided improvements in many vital areas of industry and …
Land cover changes due to mining are often distinguishable in satellite imagery, and indeed many studies have used remote sensing techniques to assess mining impacts (see Werner et al., 2019). These studies often focus on the issues and impacts of individual sites or regions, and while this knowledge is clearly important, the …
Remote sensing has emerged as a crucial tool for monitoring land degradation and its spatial patterns in mining regions. However, there are several …
Abstract. Mines are composed of features like open cut pits, water storage ponds, milling infrastructure, waste rock dumps, and tailings storage facilities that are …
Inclusive integration of remote sensing with field-based ecology and evolution is needed to fully understand and preserve Earth's biodiversity. In this Perspective, we argue that multiple data ...
Remote sensing in mining involves using satellite or aerial imagery to monitor and manage mineral exploration and production. Key applications include identifying mineral deposits, assessing …
China is the largest producer and consumer of coal in the world. The extraction of coal is increasing intensively to meet the needs of the ever-increasing population and industries. However, coal mining has resulted in environmental changes, including deforestation, air, water, soil, and landform deterioration. This study …
Soil salinity plays an important role in agriculture production and land degradation, especially in semi-arid and arid regions. Accurate prediction of soil salinity requires evaluating crop yield, native vegetation situations, and irrigation command area management. In this study, MLR (multiple linear regression), SVMs (support vector …
Remote sensing technology, used in concert with other sources of scientific data, will likely be an important source of information to help address this issue. Although little or no remote sensing research has directly addressed MTM, there has been decades of remote sensing application directed at surface mining in general.
Conserving tropical forests is crucial for the environment and future of our climate. Tropical rainforests worldwide, including the Brazilian Legal Amazon (BLA), offer exceptional ecosystem services. …
Remote sensing allows for the remote (from any computer with internet connection, from anywhere in the world) monitoring of the presence and surface distribution of moisture …
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 …
Remote sensing can save time, money, and manpower in locating missing people. Crime detectives want to narrow down their search before they go on a quest. Remote sensing tools can explore the search area with a fine-tooth comb and pick up anomalies on the ground. This could include anything from a rabbit hole to the crime scene, itself.
On the other hand, human-induced change in the form of mine excavation, mine tailing, mine waste and acid runoff requires particular monitoring by remote sensing satellite data. Environmental pollution mapping and …
Environmental problems caused by extraction of minerals have long been a focus on environmental earth sciences. Vegetation growing conditions are an indirect indicator of the environmental problem in mining areas. A growing number of studies in recent years made substantial efforts to better utilize remote sensing for dynamic …
An improved GrabCut method based on a visual attention model is proposed to extract rare-earth ore mining area information using high-resolution remote sensing images. The proposed method makes use of advantages of both the visual attention model and GrabCut method, and the visual attention model was referenced to generate a …
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 …
Coal mining, active mining phase, Landsat data and classic remote sensing algorithms were most highlighted. Future research should focus on advancing geospatial technology like artificial intelligence (AI) …
Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities . by Chengye Zhang. Chengye Zhang. SciProfiles ... Z. Monitoring the characteristics of ecological cumulative effect due to mining disturbance utilizing remote sensing. Remote Sens. 2021, 13, 5034. [Google Scholar]
Geology and Mining. Remote sensing technology has proven to be a valuable tool in the field of geology and mining. It allows us to gather information about the Earth's surface and subsurface without physically accessing the location. Here are some of the applications of remote sensing in geology and mining: 65. Mineral exploration and …
Here, we produce a global mining land use dataset via remote sensing analysis of high-resolution, publicly available satellite imagery. The dataset comprises …
Over recent decades, fine-scale land use and land cover classification in open-pit mine areas (LCCMA) has become very important for understanding the influence of mining activities on the regional geo-environment, and for environmental impact assessment procedure. This research reviews advances in fine-scale LCCMA from the following …
Multilabel remote sensing image classification can provide comprehensive object-level semantic descriptions of remote sensing images. However, most existing methods cannot fully mine the fine-grained features of images and labels, resulting in low classification accuracy. To address this issue, we propose a novel multitask framework …
Remote Sensing is an international, peer-reviewed, open access journal about the science and application of remote sensing technology, and is published semimonthly online by MDPI. The Remote Sensing Society of Japan (RSSJ) and the Japan Society of Photogrammetry and Remote Sensing (JSPRS) are affiliated with Remote Sensing, …
