LARGE MINERAL ACTIVITY: A SOCIAL, ECONOMIC AND ENVIRONMENTAL APPROACH THROUGH GEOTECHNOLOGIES

Abstract. Mining is one of the most important economic activities in Goiás, and it is necessary for the municipalities. The abundance of some mineral substances in the state makes Goiás a desirable location for large extraction companies. This research paper outlines that landscape alteration is inevitable, as it is necessary to remove natural areas for the exploitation of minerals. Agricultural areas could be effected by this process. This paper is discussing a evolution of mining activity that was done with the corporation of Alto Horizonte between 1985 and 2015, observing intervals of a decade, and relating this change to the socio-economic data of the municipality. Remote sensing techniques were used in conjunction with Geographic Information System (GIS), two such techniques include: satellite, image classification and data from socioeconomic surveys. Which provided the basis for relating them to the information generated by the mappings. Through quantitative analysis and visual observations of the mappings of the enterprise and its surroundings, it was possible to notice the modification of the landscape. In addition, socioeconomic data could indicate the influence that mining has had on Alto Horizonte. Although the enterprise has a high industrial mineral production and raise the city's GDP, it is not invested in better wages for the population, ie, workers' income does not keep up with the minimum wage increase.

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Site specific agricultural soil management with the use of new technologies

Global NEST Journal ◽

10.30955/gnj.001203 ◽

2013 ◽

Vol 16 (1) ◽

pp. 59-67

Keyword(s):

New Technologies ◽

Digital Interface ◽

Appropriate Treatment ◽

Wide Range ◽

Soil Variation ◽

Soil Information ◽

Remote Sensing Techniques ◽

Agricultural Areas

<p>The Soil Science Institute of Thessaloniki produces new digitized Soil Maps that provide a useful electronic database for the spatial representation of the soil variation within a region, based on in situ soil sampling, laboratory analyses, GIS techniques and plant nutrition mathematical models, coupled with the local land cadastre. The novelty of these studies is that local agronomists have immediate access to a wide range of soil information by clicking on a field parcel shown in this digital interface and, therefore, can suggest an appropriate treatment (e.g. liming, manure incorporation, desalination, application of proper type and quantity of fertilizer) depending on the field conditions and cultivated crops. A specific case study is presented in the current work with regards to the construction of the digitized Soil Map of the regional unit of Kastoria. The potential of this map can easily be realized by the fact that the mapping of the physicochemical properties of the soils in this region provided delineation zones for differential fertilization management. An experiment was also conducted using remote sensing techniques for the enhancement of the fertilization advisory software database, which is a component of the digitized map, and the optimization of nitrogen management in agricultural areas.</p>

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On the Use of Tri-Stereo Pleiades Images for the Morphometric Measurement of Dolines in the Basaltic Plateau of Azrou (Middle Atlas, Morocco)

Remote Sensing ◽

10.3390/rs13204087 ◽

2021 ◽

Vol 13 (20) ◽

pp. 4087

Author(s):

Maria Teresa Melis ◽

Luca Pisani ◽

Jo De Waele

Keyword(s):

Remote Sensing ◽

Satellite Image ◽

European Space Agency ◽

Morphometric Study ◽

Stereo Images ◽

Space Agency ◽

Middle Atlas ◽

Mapping Techniques ◽

Remote Sensing Techniques ◽

Basaltic Plateau

Hundreds of large and deep collapse dolines dot the surface of the Quaternary basaltic plateau of Azrou, in the Middle Atlas of Morocco. In the absence of detailed topographic maps, the morphometric study of such a large number of features requires the use of remote sensing techniques. We present the processing, extraction, and validation of depth measurements of 89 dolines using tri-stereo Pleiades images acquired in 2018–2019 (the European Space Agency (ESA) © CNES 2018, distributed by Airbus DS). Satellite image-derived DEMs were field-verified using traditional mapping techniques, which showed a very good agreement between field and remote sensing measures. The high resolution of these tri-stereo images allowed to automatically generate accurate morphometric datasets not only regarding the planimetric parameters of the dolines (diameters, contours, orientation of long axes), but also for what concerns their depth and altimetric profiles. Our study demonstrates the potential of using these types of images on rugged morphologies and for the measurement of steep depressions, where traditional remote sensing techniques may be hindered by shadow zones and blind portions. Tri-stereo images might also be suitable for the measurement of deep and steep depressions (skylights and collapses) on Martian and Lunar lava flows, suitable targets for future planetary cave exploration.

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Challenges and Countermeasures Faced by Enterprise Economic Operation Analysis in the Big Data Era

E3S Web of Conferences ◽

10.1051/e3sconf/202125101049 ◽

2021 ◽

Vol 251 ◽

pp. 01049

Author(s):

Yang Xin ◽

Yinning He

Keyword(s):

Big Data ◽

Economic Analysis ◽

Economic Data ◽

Multiple Impacts ◽

Economic Activities ◽

Economic Management ◽

Management Mechanism ◽

Operation Analysis ◽

Economic Operation ◽

Data Environment

The analysis of enterprise economic operation is mainly to collect, integrate, analyze and store information on the economic activities of the enterprise, so as to realize the standardization and management of the overall economic activities of the enterprise. In the era of big data, the analysis of corporate economic operations has also changed. In short, the big data environment has changed the corporate economic analysis and management mechanism, and has changed the collection of corporate operating economic data. It also has multiple impacts on data analysis and changed the overall structure of corporate economic analysis. This article will briefly discuss the challenges and countermeasures facing enterprise economic operation analysis in the era of big data, hoping to provide a reference for enterprise economic management.

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Combining Satellite Multispectral Imagery and Topographic Data for the Detection and Mapping of Fluvial Avulsion Processes in Lowland Areas

Remote Sensing ◽

10.3390/rs12142243 ◽

2020 ◽

Vol 12 (14) ◽

pp. 2243 ◽

Cited By ~ 1

Author(s):

Giulia Iacobucci ◽

Francesco Troiani ◽

Salvatore Milli ◽

Paolo Mazzanti ◽

Daniela Piacentini ◽

...

Keyword(s):

Methodological Approach ◽

Field Work ◽

Network Evolution ◽

Landsat 8 ◽

Multispectral Imagery ◽

Economic Activities ◽

Topographic Analysis ◽

Climate Conditions ◽

Topographic Data ◽

Remote Sensing Techniques

Fluvial avulsion is an important process in the dynamics of the riverscapes and plays a key role in the drainage network evolution in lowland areas, also influencing past and present social processes and economic activities. Crevasse splays represent significant geomorphological features for understanding the fluvial morphodynamics in lowland areas dominated by avulsion processes. Within wide floodplains characterized by very low elevation ranges, the detection and accurate mapping of crevasse splay morphology and features, such as crevasse channels, levees, and deposit, can be very challenging considering floodplain extension, anthropic impact on the natural channels network, logistic difficulties, and in some cases, climate conditions that prevent field work. This research aims at improving the detection and mapping of crevasse splays in lowland areas through the combination of different remote sensing techniques based on optical multispectral imagery and topographic data derived from satellite earth observation missions. The Lower Mesopotamia Plain (LMP) offers a unique opportunity to study the avulsion processes because it presents numerous examples of crevasse splays, characterized by different sizes and states of activity. Furthermore, in this area, a strong correlation exists between the formation and development of crevasse splays and the expansion of agriculture and early societies since the Early Holocene. Different supervised classification (SC) methods of Landsat 8 satellite images have been tested together with topographic analysis of the microrelief, carried out based on two different 1-arcsec DEMs (AW3D30 and GDEM2). The results of this study demonstrate that the combination of multispectral imagery analysis and topographic analysis of the microrelief is useful for discerning different crevasse elements, distinguishing between active and relict landforms. The methodological approach proved helpful for improving the mapping of erosional and depositional landforms generated by the avulsion process and, in the study area, provided the best results for the active landforms.

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Study on spatial distribution of coral reefs in Nam Yet island by using GIS and remote sensing techniques

Tạp chí Khoa học và Công nghệ Biển ◽

10.15625/1859-3097/19/3b/14524 ◽

2019 ◽

Vol 19 (3B) ◽

pp. 177-187

Author(s):

Nguyen Xuan Tung ◽

Do Huy Cuong ◽

Bui Thi Bao Anh ◽

Nguyen Thi Nhan ◽

Nguyen The Luan ◽

...

Keyword(s):

Remote Sensing ◽

Field Survey ◽

Satellite Image ◽

Image Interpretation ◽

Kappa Coefficient ◽

Distribution Map ◽

Dead Coral ◽

Gis And Remote Sensing ◽

Interpretation Process ◽

Remote Sensing Techniques

Research and application of GIS and remote sensing techniques combined with field survey in coastal areas of Nam Yet island had been carried out to establish the distribution map of submarine habitats. Depth-invariant index was used to correct water column’s effects on spectral reflectance of each habitat. The results of satellite image classification showed that area with well-developed coral at great depths accounted for 12%, area with well-developed coral at small depths accounted for 9%, area with poorly-developed coral accounted for 13%, dead coral area accounted for 15% and area of sand, grit, pebbles and weathered coral accounted for 51%. The assessment after classification showed that the overall accuracy of the satellite image interpretation process was 94% and the kappa coefficient was 0.93.

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Research Bathymetry Mapping of Shallow Water Areas around Islands in the Truong Sa Archipelago by Deep - Remote sensing technology

VNU Journal of Science Earth and Environmental Sciences ◽

10.25073/2588-1094/vnuees.4194 ◽

2017 ◽

Vol 33 (4) ◽

Author(s):

Phan Quoc Yen ◽

Dao Khanh Hoai ◽

Dinh Thi Bao Hoa

Keyword(s):

Remote Sensing ◽

Shallow Water ◽

Satellite Image ◽

Image Data ◽

Landsat 8 ◽

Military Operations ◽

Sensing Technology ◽

Remote Sensing Techniques ◽

Map Data ◽

The Military

Satellite image data is being researched and applied effectively in the survey and establishment of bathymetry mapping in shallow water areas in both time and human terms. Remote sensing techniques contribute to rapid updating of topography, timely assurance of civil and military operations such as maritime safety, environmental security and rescue, Warfare in the military, especially the ability to remotely monitor disputed areas. The article experiment with the Stumpf et al algorithm to estimate the shallow water depths on the Spratly Island by Landsat 8 image. The correlation coefficient of the model R2 is 0.924; RMSE is 0.99m. In addition, the results are compared with the map data of C-map and use 12 actual test points scores to evaluate the accuracy of the model.

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THE MODELLING STUDY OF AREA MEASUREMENT ACCURACY USING REMOTE SENSING TECHNIQUES

Yugra State University Bulletin ◽

10.17816/byusu2018025-34 ◽

2018 ◽

Vol 14 (3) ◽

pp. 25-34

Author(s):

M A Kupriaynov ◽

G A Kochergin ◽

Y M Polishchuk

Keyword(s):

Remote Sensing ◽

Spatial Resolution ◽

Relative Error ◽

Shape Factor ◽

Measurement Accuracy ◽

Satellite Image ◽

Area Measurement ◽

Geometric Figures ◽

Remote Sensing Techniques ◽

Modelling Study

Based on the simulation, a relationship was established between the spatial resolution of the satellite image and the relative error in determining the area of the object being measured. The formula is proposed for calculating the relative error of measuring the area of an object using remote sensing techniques. A method for constructing random flat geometric figures with a given shape factor is proposed.

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Seagrass Mapping Based on Satellite Image Worldview-2 by Using Depth Invariant Index Method

ILMU KELAUTAN Indonesian Journal of Marine Sciences ◽

10.14710/ik.ijms.21.1.37-44 ◽

2015 ◽

Vol 21 (1) ◽

pp. 37 ◽

Cited By ~ 1

Author(s):

Agnestesya Manuputty ◽

Jonson Lumban Gaol ◽

Syamsul Bahri Agus

Keyword(s):

Spatial Data ◽

Satellite Images ◽

Satellite Image ◽

Support Vector ◽

Index Method ◽

Processing Data ◽

Accuracy Level ◽

Seagrass Ecosystems ◽

Seagrass Mapping ◽

Remote Sensing Techniques

Seagrass has an important role in coastal areas, so it’s sustainability need to be maintained. One effort to preserve it is sustainable manner management of segrass based on the spatial data using remote sensing techniques. The aim of this study was to map seagrass ecosystems and to determining the accuracy level from classification results that obtained by the WorldView-2 images. This study was conducted in Karang Bongkok and Kotok Islands in August 2014 and March 2015. The satellite images data used on this study was WorldView-2 satellite images at the acquisition date of October 5, 2013. The method used to conduct image processing data is Depth Invariant Index (DII) using Support Vector Machine (SVM) classification. The result shows that seagrass mapping in Karang Bongkok and Kotok Islands using DII transformation has 19.5112 ha areas with 72% accuracy on Karang Bongkok Island and 2.5704 ha areas with of 83% accuracy on Kotok Island. Key words: Seagrass mapping, DII, SVM, Karang Bongkok, Kotok Island.

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Geometallurgical Concepts Used in Industrial Mineral Production

Economic Geology ◽

10.5382/econgeo.4685 ◽

2019 ◽

Vol 114 (8) ◽

pp. 1543-1554 ◽

Cited By ~ 1

Author(s):

Steinar L. Ellefmo ◽

Kurt Aasly ◽

Aleksandra Lang ◽

Veena S. Vezhapparambu ◽

Camilo A.M. Silva

Keyword(s):

Construction Material ◽

Mining Industry ◽

Raw Material ◽

Processing Route ◽

Specific Reference ◽

Industrial Minerals ◽

Measurement While Drilling ◽

Industrial Mineral ◽

Mineral Production ◽

Block Models

Abstract Geometallurgy has developed since the 1970s, primarily on metallic ore operations. In parallel, industrial mineral operations have been optimized through detailed deposit knowledge and market development, without making specific reference to geometallurgical concepts. The Norwegian mining industry is dominated by industrial mineral and construction material operations, and, in this paper, key differences between the industrial mineral and the metallic ore sectors are investigated, along with their influence on the development and the use of economic block models and optimization methodologies. Further, the key levers and factors (mining method selection, processing route, scale, sequence, and cutoff policy) for value creation in industrial mineral operations are discussed, along with how and to what extent geometallurgy has been used. It is concluded that the five key levers cannot be used in industrial minerals operations as effectively as they are used in metallic ore operations. In industrial minerals, in situ strength variations are an important parameter in estimating key performance indicators such as recovery and product quality. When modeling the spatial variation in rock strength potential, additivity issues must be resolved by investigating the process the raw material is exposed to. The Norwegian industrial mineral sector has been using elements of geometallurgy but is facing unresolved issues related to strength variations and the use of measurement while drilling data.

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Performance of ANN, SVM and MLH techniques for land use/cover change detection at Sultan Marshes wetland, Turkey

Water Science & Technology ◽

10.2166/wst.2019.290 ◽

2019 ◽

Vol 80 (3) ◽

pp. 466-477 ◽

Cited By ~ 4

Author(s):

M. Hayri Kesikoglu ◽

U. Haluk Atasever ◽

Filiz Dadaser-Celik ◽

Coskun Ozkan

Keyword(s):

Change Detection ◽

Flood Control ◽

Animal Species ◽

Comparison Method ◽

Support Vector ◽

Vector Machines ◽

Sultan Marshes ◽

Remote Sensing Techniques ◽

Agricultural Areas ◽

Change Mitigation

Abstract Wetlands are among the most productive ecosystems that provide services ranging from flood control to climate change mitigation. Wetlands are also critical habitats for the survival of numerous plant and animal species. In this study, we used satellite remote sensing techniques for classification and change detection at an internationally important wetland (Ramsar Site) in Turkey. Sultan Marshes is located at the center of semi-arid Develi closed basin. The wetlands have undergone significant changes since the 1980s due to changes in water flow regimes, but changes in recent years have not been sufficiently explored yet. In this study, we focused on the changes from 2005 to 2012. Two multispectral ASTER images with spatial resolution of 15 m, acquired on June 11, 2005 and May 20, 2012, were used in the analyses. After geometric correction, the images were classified into four information classes, namely water, marsh, agriculture, and steppe. The applicability of three classification methods (i.e. maximum likelihood (MLH), multi-layer perceptron type artificial neural networks (ANN) and support vector machines (SVM)) was assessed. The differences in classification accuracies were evaluated by the McNemar's test. The changes in the Sultan Marshes were determined by the post classification comparison method using the most accurate classified images. The results showed that the highest overall accuracy in image classifications was achieved with the SVM method. It was observed that marshes and steppe areas decreased while water and agricultural areas expanded from 2005 to 2012. These changes could be the results of water transfers to the marshes from neighboring watershed.

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