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Terra provides LiDAR data for designing new or upgraded infrastructure to bring electricity and water to mining operations. LiDAR and GIS data collected from Terra's integrated sensor array also informs transportation route and pipeline designs and upgrades. ...
Recent advances in remote sensing which are both non-intrusive and less time-consuming hold the potential to unlock a new paradigm of automated AMD analysis. Herein, we test the feasibility of remote sensing as a standalone tool to map AMD at various spatial resolutions and altitudes in water-impacted mining environments.
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 for multilabel remote sensing …
Ph.D. in remote sensing, ... Experience using data mining tools; open source research methods; understanding of military capabilities weapon systems; application engineering, system administration, or software configuration of industry standard geospatial analysis and production software; experience with Oracle Spatial or ArcSDE. ...
Artisanal small-scale mines (ASMs) in the Amazon Rainforest are an important cause of deforestation, forest degradation, biodiversity loss, sedimentation in rivers, and mercury emissions. Satellite image data are widely used in environmental decision-making to monitor changes in the land surface, but ASMs are difficult to map from space. ASMs are small, …
Recent advances in deep learning have made significant progress in multimodal remote sensing semantic segmentation. However, current methods face challenges in maintaining geometric consistency, particularly when dealing with large objects, resulting in fragmented segmentation masks. We propose a mamba-diffusion framework to preserve …
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In the coal-rich provinces of Shanxi, Shaanxi, and Inner Mongolia, the landscape bears the scars of coal extraction—namely subsidence and deformation—that disrupt both the terrain and the delicate ecological balance. This research delves into the transformative journey these mining regions undergo, from pre-mining equilibrium, through the tumultuous phase of …
Drones and UAVs for Remote Sensing: The use of drones and Unmanned Aerial Vehicles (UAVs) for remote sensing is expected to increase. These platforms can be equipped with sensors such as LiDAR and hyperspectral cameras to perform high-resolution, localized remote sensing tasks that complement broader satellite studies.
To further meet the needs of ocean remote sensing information mining, we systematically summarized the future improvement directions of U-Net in these application areas: enhancing the detection of small targets in …
1 2 USE OF REMOTE SENSING FOR MAPPING AND EVALUATION OF MINING WASTE ANOMALIES AT NATIONAL TO MULTI-COUNTRY SCALE A CASE STUDY TO INTEGRATE REMOTE SENSING INFORMATION WITH THEMATIC DATA LAYERS AND NATIONAL INVENTORIES ON MINING FEATURES IN PRE-ACCESSION COUNTRIES A Report of the …
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 and Landsat-7 …
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 conducted on mine site …
We identified 150 papers using Google Scholar with the following key phrases: "artisanal small-scale mining remote sensing", "artisanal small-scale mapping", and "small-scale mining identification and mapping", as of October 2022. We identified an additional eight papers in Scopus and the Web of Science (WoS) using the following ...
Unit 1: Introduction to Geological Remote Sensing and Reflectance Spectroscopy; Unit 2: Multispectral Remote Sensing; Unit 3: Hyperspectral Remote and Proximal Sensing; Unit 4: Mineral Mapping Methods; Learning outcomes. Unit 1: The participant will be able to apply the concepts of reflectance spectroscopy to rocks and minerals.
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 environmental impact, monitoring infrastructure health, and detecting …
8. • Remote sensing is a tool or technique similar to mathematics using sophisticated sensors to measure the amount of electromagnetic energy existing an object or geographic area from a distance, and then extracting valuable information from the data using mathematically and statistically based algorithms is a scientific activity. • Scientists are …
Accurate mapping of ASM can reveal its true contribution to development and counter negative narratives about the sector. We emphasize the importance of standardized remote sensing …
Mining Project Evaluation. Due Diligence and Project Reviews ... Remote Sensing And Geophysics. We interpret remotely sensed data using a sound structural geological understanding to provide informed, integrated interpretations that can be directly applied to exploration targeting.
Slonecker and Benger (2001) review earlier studies using remote sensing to examine mountaintop mining and valley fills, with particular reference to coal mining in Appalachia. Goparaju et al. (2017) review the use of GIS and RS approaches to examining the impacts of mines on forest ecosystems, with a particular emphasis on India. In addition ...
2 Mining Institute of the Far Eastern Branch of the Russian Academy of Sciences, Khabarovsk 680000, Russia smaginkhv@gmail Abstract. The aim of this research is to develop an algorithm for the automatic analysis of natural vegetation recovery on disturbed lands for monitoring open-pit mining sites based on remote sensing data (RSD).
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 …
Remote sensing plays a crucial role in identifying illegal mining sites, even in remote and densely vegetated regions. By using multispectral and hyperspectral sensors, remote sensing platforms can differentiate between …
Descartes Labs brings deep tech innovation to geospatial and remote sensing data science with a focus on industry-specific problems, drawing intelligence from the world's largest and most complex ...
In this context, two powerful technologies have emerged as game-changers for the mining industry: Remote Sensing and Geographic Information Systems (GIS). These cutting-edge tools offer a holistic approach to mining …
Current works focus on addressing the remote sensing change detection task using bi-temporal images. Although good performance can be achieved, however, seldom of they consider the motion cues which may also be vital. In this work, we revisit the widely adopted bi-temporal images-based framework and propose a novel Coarse-grained Temporal Mining …
2. Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by …
Remote sensing allows real-time monitoring of mining operations. It provides updates on operational progress, excavated volumes, and machinery performance. This data can be used to optimize productivity, …
Remote sensing technology has revolutionized various industries, and the mining sector is no exception. In this article, we will explore how remote sensing is transforming gold mining operations, aiding in better decision-making, and ensuring sustainable practices.
Interests: remote sensing information mining; large-scale surface water system mapping; night light remote sensing; flood disaster remote sensing. Dr. Xing Wang Dr. Xing Wang Scilit Preprints Google Scholar E-Mail Website Guest Editor. School of Marine Science and Technology, Tianjin University, Tianjin 300072, China ...
In coal-dependent urban economies, the dichotomy between resource exploitation and ecological conservation presents a pronounced challenge. Traditional remote sensing ecological assessments often overlook the interplay between mining activities and urban environmental dynamics. To address this gap, researchers developed an innovative Resource …