ECONOMIC ANALYSIS OF QUARRY SURVEYING

2020 ◽  
Author(s):  
Vivita Pukite ◽  
Vita Celmina ◽  
Dainora Jankauskiene
Keyword(s):  
Remote Sensing ◽  
Economic Analysis ◽  
Land Surface ◽  
Laser Scanning ◽  
Market Price ◽  
Mineral Resources ◽  
Volume Calculation ◽  
Advantages And Disadvantages ◽  
Remote Sensing Methods ◽  
Geodetic Surveying

There are several surveying methods whose practical function is to determine the areas of land, distances, heights, the amount of earthwork, and to produce reduced images of the earth's surface. The research looks at how geodetic and remote sensing methods can be used, and the results they provide in quarry surveying. The most important in quarry surveying is to get an accurate land surface for calculation of the volume of mineral resources. After quarries surveying, it is possible to calculate the amount of remaining mineral resources. Within the framework of the research, were performed surveying in quarries with geodetic surveying and remote sensing methods. For geodetic surveying was used GNSS receiver and a robotic total station, but from remote sensing methods were used aerial photography and aerial laser scanning. The most important reason why it is important to get an accurate surface and make an accurate volume calculation in quarry surveying is the economic factor. The economic analysis was carried out using a comparison method based on volume, market price and natural resources tax. The research presents the advantages and disadvantages of each surveying method and explains the results obtained, based on economic calculations. The main conclusion is that the accuracy of the preparation of land surface relief models is based mainly on economic calculations because mineral resources are a commodity that is bought and sold for which tax is payable.

Study on the Application and Comparative Analysis of Land Surface Temperature Retrieval Method Based on Multi-Sensor Remote Sensing Data

2014 ◽  
Vol 1010-1012 ◽  
pp. 1276-1279 ◽  
Author(s):  
Yin Tai Na
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Advantages And Disadvantages ◽  
Urban Heat ◽  
Split Window Algorithm ◽  
Temperature Retrieval

The three commonly used remote sensing land surface temperature retrieval methods are described, namely single-window algorithm, split window algorithm and multi-channel algorithm, which have their advantages and disadvantages. The land surface temperature (LST) of study area was retrieved with multi-source remote sensing data. LST of study area was retrieved with the split window algorithm on January 10, 2003 and November 19, 2003 which is comparatively analyzed with the LST result of ETM+data with the single-window algorithm and the LST result of ASTER data with multi channel algorithm in the same period. The results show that land surface temperature of different land features are significantly different, where the surface temperature of urban land is the highest, and that of rivers and lakes is the lowest, followed by woodland. It is concluded that the expansion of urban green space and protection of urban water can prevent or diminish the urban heat island.

Remote Sensing Of Oil Slicks

1969 ◽  
Vol 1969 (1) ◽  
pp. 297-307
Author(s):  
L.G. Swaby ◽  
A.F. Forziati
Keyword(s):  
Remote Sensing ◽  
Oil Spill ◽  
Santa Barbara ◽  
Advantages And Disadvantages ◽  
Remote Sensing Methods

Abstract An overview of remote sensing methods is presented and illustrated with data taken at the Santa Barbara oil spill The conclusion is reached that such methods possess monitoring capability but so far the ability to identify the slick material as oil has not been demonstrated. The advantages and disadvantages of each method are briefly discussed.

scholarly journals Application of Remote Sensing Methods to Study the Relief of Lowland River Valleys with a Complex Geological Structure—A Case Study of the Bug River

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 487 ◽  
Author(s):  
Piotr Ostrowski ◽  
Tomasz Falkowski
Keyword(s):  
Remote Sensing ◽  
Laser Scanning ◽  
Maximum Flow ◽  
Geological Structure ◽  
Lowland River ◽  
Central European ◽  
Multispectral Satellite Images ◽  
Complex Geological Structure ◽  
River Valleys ◽  
Remote Sensing Methods

River valleys of the Central European Lowlands are the zones of the highest dynamics of morphogenic processes. In the case of areas affected by glacial processes, despite their lowland nature, often they also have a complex geological structure. Sub-alluvial bedrock, composed of erosion-resistant deposits, commonly forms morphological protrusions within them. Their presence significantly affects both the course of flood flows and the valley floor relief. Effective forecasting of fluvial processes in such valley reaches requires conducting research within the entire geomorphologically active zone, both in the channel and the floodplain. The effectiveness of such research should be enhanced by simultaneous use of several different remote sensing methods, including short-range remote sensing. The verification of this hypothesis was the aim of the presented works. Such methods were used in the study of morphodynamics of a Bug valley reach. This area is characterized by a complex geological structure. High-resolution multispectral satellite images (VHRs) and a digital elevation model (DEM) based on aerial laser scanning (ALS) were used to examine the terrain relief. The morphology of the river channel itself was determined based on a series of bathymetric measurements made by a research team. Due to induced climate change and increasing maximum flow values, it can be assumed that the effect of a geological structure in the Central European Lowlands will play an increasing role. The threat and losses associated with floods will also increase. Rational flood prevention requires improvement of remote sensing research methods in lowland river valleys, especially those with complex geological structures. The valley reach presented in this article is an example of such a landform.

scholarly journals Using integrated remote sensing methods in the Nagyerdő Natura 2000 area

2014 ◽  
pp. 19-24
Author(s):  
Éva Bozsik ◽  
Tünde Fórián ◽  
Balázs Deák ◽  
Péter Riczu ◽  
János Fehér ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Monitoring System ◽  
Laser Scanning ◽  
Remote Sensing Data ◽  
Natura 2000 ◽  
Airborne Lidar ◽  
Sensing Technology ◽  
Data Collecting ◽  
Collecting Methods ◽  
Remote Sensing Methods

The more widely use of GIS, remote sensing technology provides appropriate data acquisition and data processing tools to build several national and international biodiversity monitoring system of environmental protection and natur conservation. The ChangeHabitats 2 is a similar international project, which uses airborne hyperspectral and airborne laser scanning (airborne LiDAR) sources beyond traditional data collection methods to build a monitoring system of Natura 2000 habitats. The goal of our research, on one hand, was to separate the most typical species of trees which can be found in the largest coverage in the research plots of Debreceni Nagyerdő Nature Reserve from field and airborne remote sensing data, use image classification that based on spectral and geometry (height) characteristics of the trees. On the other hand our goal was to evaluate the efficient use of the integration of mobilGIS, airborne hyperspectral and airborne LiDAR data collecting methods to complement or substitut of the traditional, field data collecting methods. We used ArcGIS 10.2 and Exelis 5.0 GIS software for data evaluation, in which the mosaicing, the selection of plots and the spectral image processing were carried out.

Application of Remote Sensing in Agriculture

2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Jan Piekarczyk
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Crop Production ◽  
Satellite Images ◽  
Crop Yields ◽  
Spatial Scales ◽  
Strong Relationship ◽  
Physical Parameters ◽  
Agricultural Crop ◽  
Remote Sensing Methods

AbstractWith increasing intensity of agricultural crop production increases the need to obtain information about environmental conditions in which this production takes place. Remote sensing methods, including satellite images, airborne photographs and ground-based spectral measurements can greatly simplify the monitoring of crop development and decision-making to optimize inputs on agricultural production and reduce its harmful effects on the environment. One of the earliest uses of remote sensing in agriculture is crop identification and their acreage estimation. Satellite data acquired for this purpose are necessary to ensure food security and the proper functioning of agricultural markets at national and global scales. Due to strong relationship between plant bio-physical parameters and the amount of electromagnetic radiation reflected (in certain ranges of the spectrum) from plants and then registered by sensors it is possible to predict crop yields. Other applications of remote sensing are intensively developed in the framework of so-called precision agriculture, in small spatial scales including individual fields. Data from ground-based measurements as well as from airborne or satellite images are used to develop yield and soil maps which can be used to determine the doses of irrigation and fertilization and to take decisions on the use of pesticides.

Application of remote sensing methods for assessment of anthropogenic transformation of rangelands

2000 ◽  
pp. 16-25
Author(s):  
E. I. Rachkovskaya ◽  
S. S. Temirbekov ◽  
R. E. Sadvokasov
Keyword(s):  
Remote Sensing ◽  
New Technology ◽  
Field Studies ◽  
Digital Data ◽  
Aerial Images ◽  
Expert Assessment ◽  
Automated Classification ◽  
Anthropogenic Transformation ◽  
Initial Processing ◽  
Remote Sensing Methods

Capabilities of the remote sensing methods for making maps of actual and potential vegetation, and assessment of the extent of anthropogenic transformation of rangelands are presented in the paper. Study area is a large intermountain depression, which is under intensive agricultural use. Color photographs have been made by Aircraft camera Wild Heerburg RC-30 and multispectral scanner Daedalus (AMS) digital aerial data (6 bands, 3.5m resolution) have been used for analysis of distribution and assessment of the state of vegetation. Digital data were processed using specialized program ENVI 3.0. Main stages of the development of cartographic models have been described: initial processing of the aerial images and their visualization, preliminary pre-field interpretation (classification) of the images on the basis of unsupervised automated classification, field studies (geobotanical records and GPS measurements at the sites chosen at previous stage). Post-field stage had the following sub-stages: final geometric correction of the digital images, elaboration of the classification system for the main mapping subdivisions, final supervised automated classification on the basis of expert assessment. By systematizing clusters of the obtained classified image the cartographic models of the study area have been made. Application of the new technology of remote sensing allowed making qualitative and quantitative assessment of modern state of rangelands.

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