scholarly journals Detection of Limestone Quarries in Jordan Through Remote Sensing Data to Achieve Sustainable Utilization in Vernacular Architecture

2021 ◽  
Vol 16 (4) ◽  
pp. 661-674
Author(s):  
Mohannad Tarrad ◽  
Majed Ibrahim
Keyword(s):  
Remote Sensing ◽  
Building Material ◽  
Building Materials ◽  
Vernacular Architecture ◽  
Remote Sensing Data ◽  
Natural Stone ◽  
Current Century ◽  
History Of ◽  
Remote Sensing Techniques

All human societies seek stability and use of place and material in order to create architectural buildings. One of the most important materials that man used as a building material was natural stone, and in Jordan stone has a special architectural value, as Jordanian architects used it to form a unique architectural style, especially in the capital, Amman. But at the end of the last century and the beginning of the current century, alternative manufactured building materials appeared, and architects began using them for many reasons, including the lack of quality of natural stone and its defects, which resulted in deformation of the architectural facades. The research used remote sensing techniques to know the properties and quality of the stone. This research used the descriptive approach in studying the history of architecture in Jordan and its relationship to limestone, and relied on the analytical survey by obtaining data from satellite images, where they were analyzed and the properties of the stone in the ground were shown. This research aims to preserve the use of natural stone in construction as a building material that has characteristics in sustainability.

The Development of Green Building Materials Trend in China

2013 ◽  
Vol 357-360 ◽  
pp. 1070-1073
Author(s):  
Bao Zhu Sheng
Keyword(s):  
Sustainable Development ◽  
Building Material ◽  
Building Materials ◽  
Civil Engineering ◽  
Green Building ◽  
Engineering Construction ◽  
Factors Influencing ◽  
Green Building Materials ◽  
History Of ◽  
Development Tendency

Building material is the base of civil engineering construction, in the history of thousands of years of development, building materials also gradually change and change, and is closely related to the progress of human civilization and the development of science and technology.Green building materials has the vital significance to the construction of a conservation-oriented society and sustainable development, in accordance with China's social development.This paper introduces the importance of the development of green building materials,analyzes some factors influencing the development of green building materials in China,and discusses the development tendency of green building materials in China.

scholarly journals Possibilities of milpa identification in Yucatan through remote sensing techniques and Sentinel-2 data

10.29007/hbs2 ◽  
2019 ◽  
Author(s):  
Juan Carlos Valdiviezo-Navarro ◽  
Adan Salazar-Garibay ◽  
Karla Juliana Rodríguez-Robayo ◽  
Lilián Juárez ◽  
María Elena Méndez-López ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Food Sovereignty ◽  
Region Of Interest ◽  
Remote Sensing Data ◽  
Support Vector ◽  
Multispectral Images ◽  
Crop Fields ◽  
Remote Sensing Techniques ◽  
Sentinel 2

Maya milpa is one of the most important agrifood systems in Mesoamerica, not only because its ancient origin but also due to lead an increase in landscape diversity and to be a relevant source of families food security and food sovereignty. Nowadays, satellite remote sensing data, as the multispectral images of Sentinel-2 platforms, permit us the monitor- ing of different kinds of structures such as water bodies, urban areas, and particularly agricultural fields. Through its multispectral signatures, mono-crop fields or homogeneous vegetation zones like corn fields, barley fields, or other ones, have been successfully detected by using classification techniques with multispectral images. However, Maya milpa is a complex field which is conformed by different kinds of vegetables species and fragments of natural vegetation that in conjunction cannot be considered as a mono-crop field. In this work, we show some preliminary studies on the availability of monitoring this complex system in a region of interest in Yucatan, through a support vector machine (SVM) approach.

Valuing Radiometric Quality of Remote Sensing Data for Decisions

2021 ◽  
Author(s):  
Afreen Siddiqi ◽  
Sheila Baber ◽  
Olivier De Weck
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data

scholarly journals Review of Satellite Interferometry for Landslide Detection in Italy

2020 ◽  
Vol 12 (8) ◽  
pp. 1351 ◽  
Author(s):  
Lorenzo Solari ◽  
Matteo Del Soldato ◽  
Federico Raspini ◽  
Anna Barra ◽  
Silvia Bianchini ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Management Strategies ◽  
Back Analysis ◽  
Remote Sensing Data ◽  
Economic Losses ◽  
Interferometric Synthetic Aperture Radar ◽  
Monitoring Tools ◽  
Average Production ◽  
Landslide Mapping ◽  
Remote Sensing Techniques

Landslides recurrently impact the Italian territory, producing huge economic losses and casualties. Because of this, there is a large demand for monitoring tools to support landslide management strategies. Among the variety of remote sensing techniques, Interferometric Synthetic Aperture Radar (InSAR) has become one of the most widely applied for landslide studies. This work reviews a variety of InSAR-related applications for landslide studies in Italy. More than 250 papers were analyzed in this review. The first application dates back to 1999. The average production of InSAR-related papers for landslide studies is around 12 per year, with a peak of 37 papers in 2015. Almost 70% of the papers are written by authors in academia. InSAR is used (i) for landslide back analysis (3% of the papers); (ii) for landslide characterization (40% of the papers); (iii) as input for landslide models (7% of the papers); (iv) to update landslide inventories (15% of the papers); (v) for landslide mapping (32% of the papers), and (vi) for monitoring (3% of the papers). Sixty-eight percent of the authors validated the satellite results with ground information or other remote sensing data. Although well-known limitations exist, this bibliographic overview confirms that InSAR is a consolidated tool for many landslide-related applications.

scholarly journals Lossy Compression of Multichannel Remote Sensing Images with Quality Control

2020 ◽  
Vol 12 (22) ◽  
pp. 3840
Author(s):  
Vladimir Lukin ◽  
Irina Vasilyeva ◽  
Sergey Krivenko ◽  
Fangfang Li ◽  
Sergey Abramov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Classification Accuracy ◽  
Real Life ◽  
Remote Sensing Data ◽  
Original Data ◽  
Lossy Compression ◽  
Compressed Images ◽  
Training Methodology ◽  
Neural Network Classifiers

Lossy compression is widely used to decrease the size of multichannel remote sensing data. Alongside this positive effect, lossy compression may lead to a negative outcome as making worse image classification. Thus, if possible, lossy compression should be carried out carefully, controlling the quality of compressed images. In this paper, a dependence between classification accuracy of maximum likelihood and neural network classifiers applied to three-channel test and real-life images and quality of compressed images characterized by standard and visual quality metrics is studied. The following is demonstrated. First, a classification accuracy starts to decrease faster when image quality due to compression ratio increasing reaches a distortion visibility threshold. Second, the classes with a wider distribution of features start to “take pixels” from classes with narrower distributions of features. Third, a classification accuracy might depend essentially on the training methodology, i.e., whether features are determined from original data or compressed images. Finally, the drawbacks of pixel-wise classification are shown and some recommendations on how to improve classification accuracy are given.

The Evaluation and Application Study of Remote Sensing Data Quality of Environment and Disaster Monitoring

2012 ◽  
Vol 573-574 ◽  
pp. 271-276
Author(s):  
Ping Ren ◽  
Jie Ming Zhou
Keyword(s):  
Remote Sensing ◽  
Data Quality ◽  
Remote Sensing Data ◽  
Resolution Time ◽  
Application Study ◽  
Space Resolution ◽  
Sensing Data ◽  
The Earth ◽  
Disaster Monitoring

The existing Fengyun (FY) satellites, resource satellites and ocean satellites all can observe the earth muti-funtionally and work well in monitoring environment and disasters. However, all these satellites are insufficient for space resolution, time resolution, spectral resolution and all-weather requirements when facing complicated environmental problems and natural disasters. This paper evaluates the multi-spectral remote sensing data quality of the Environment and Disasters Monitoring Micro-satellite Constellation (HJ-1A/B)A/B satellite and extracts data characteristics to offer references for promotion and application this data.

scholarly journals Accomplishments of the MUSICA project to provide accurate, long-term, global and high-resolution observations of tropospheric {H<sub>2</sub>O,<i>δ</i>D} pairs – a review

2016 ◽  
Vol 9 (7) ◽  
pp. 2845-2875 ◽  
Author(s):  
Matthias Schneider ◽  
Andreas Wiegele ◽  
Sabine Barthlott ◽  
Yenny González ◽  
Emanuel Christner ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Measurement Techniques ◽  
Remote Sensing Data ◽  
Global Scale ◽  
Horizontal Resolution ◽  
Atmospheric Composition ◽  
Remote Sensing Techniques ◽  
Middle Infrared

Abstract. In the lower/middle troposphere, {H2O,δD} pairs are good proxies for moisture pathways; however, their observation, in particular when using remote sensing techniques, is challenging. The project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) addresses this challenge by integrating the remote sensing with in situ measurement techniques. The aim is to retrieve calibrated tropospheric {H2O,δD} pairs from the middle infrared spectra measured from ground by FTIR (Fourier transform infrared) spectrometers of the NDACC (Network for the Detection of Atmospheric Composition Change) and the thermal nadir spectra measured by IASI (Infrared Atmospheric Sounding Interferometer) aboard the MetOp satellites. In this paper, we present the final MUSICA products, and discuss the characteristics and potential of the NDACC/FTIR and MetOp/IASI {H2O,δD} data pairs. First, we briefly resume the particularities of an {H2O,δD} pair retrieval. Second, we show that the remote sensing data of the final product version are absolutely calibrated with respect to H2O and δD in situ profile references measured in the subtropics, between 0 and 7 km. Third, we reveal that the {H2O,δD} pair distributions obtained from the different remote sensors are consistent and allow distinct lower/middle tropospheric moisture pathways to be identified in agreement with multi-year in situ references. Fourth, we document the possibilities of the NDACC/FTIR instruments for climatological studies (due to long-term monitoring) and of the MetOp/IASI sensors for observing diurnal signals on a quasi-global scale and with high horizontal resolution. Fifth, we discuss the risk of misinterpreting {H2O,δD} pair distributions due to incomplete processing of the remote sensing products.

scholarly journals History of the Donguz-Orun Glacier from bioindication, historical, cartographic sources and remote sensing data

2018 ◽  
Vol 58 (4) ◽  
pp. 448-461
Author(s):  
O. N. Solomina ◽  
I. S. Bushueva ◽  
P. D. Polumieva ◽  
E. A. Dolgova ◽  
M. D. Dokukin
Keyword(s):  
Remote Sensing ◽  
Satellite Image ◽  
Remote Sensing Data ◽  
Ice Age ◽  
Aerial Photographs ◽  
The Caucasus ◽  
Mountain Glaciers ◽  
Mountain Valley ◽  
The Past ◽  
History Of

On the basis of dendrochronological, lichenometric and historical data with the use of Earth remote sensing materials, the evolution of the Donguz-Orun Glacier has been reconstructed over the past centuries. In this work we used aerial photographs of 1957, 1965, 1981, 1987, satellite image of 2009, as well as descriptions, photographs, maps and plans of the glacier of the 19th and 20th centuries, data of instrumental measurements of the glacier end position in the second half of the 20th – early 21st centuries, dendrochronological dating of pine on the front part of the valley, and juniper to date coastal moraines, and the results of lichenometry studies. It has been established that the Donguz-Orun Glacier in the past had several clearly marked advances about 100, 200 and more than 350 years ago, which are expressed in relief in the form of uneven-aged coastal moraines. Despite the fact that the Donguz-Orun Glacier differs from many mountain-valley glaciers of the Caucasus primarily by its predominantly avalanche feeding and a moraine cover, almost entirely covering its surface, the main periods of its advances are consistent with the known large fluctuations of mountain glaciers during the Little Ice Age in the early 20th, early 19th, and, probably, in the middle of the 17th century. However, unlike most other Caucasian glaciers, the Donguz-Orun Glacier advanced in the 1970s–2000s. Te scale of its degradation from the end of the 19th to the beginning of the 21st century is also uncharacteristic for the Caucasus: the reduction in the length for longer than a century period is only about 100 m.

scholarly journals MEASUREMENTS FROM A FAST-MOVING AIR-CUSHION PLATFORM

1986 ◽  
Vol 1 (20) ◽  
pp. 27 ◽  
Author(s):  
P. Kerchkaert ◽  
A. Grobben ◽  
P. De Candt
Keyword(s):  
Remote Sensing ◽  
Fast Moving ◽  
Remote Sensing Data ◽  
Measuring Method ◽  
Coastal Morphology ◽  
Nearshore Area ◽  
Comprehensive Survey ◽  
Air Cushion ◽  
Aerial Remote Sensing ◽  
Remote Sensing Techniques

In 1976 the Belgian Government decided to enlarge the harbour of Zeebrugge and to execute an artificial beach renourishment on the beaches at Knokke-Heist. A comprehensive survey program along the 24 km coastline was conceived using remote sensing techniques. This enabled correct momentary recordings of the beach areas, the production of differential charts and calculations of dune and beach volumes. However, the observations of the nearshore and offshore areas from ordinary survey vessels take too long so that no accurate momentary recordings of the seabottom topography can be achieved. On these grounds, in 1983, the Belgian Authorities have instructed the Eurosense Belfotop Company to develop an effective measuring method based on the use of a hovercraft. This hovercraft platform, named "BEASAC" and designed for hydrographic surveys, is now used for monitoring the coastal morphology and the dredging activities in the access channels to the major Belgian seaports. On the basis of the "Beasac"-soundings of the nearshore area and the aerial remote sensing data of the beach, charts and differential charts of the combined beach and nearshore area are produced. The results of this technique are very promising and will be incorporated in the further survey programs ordered by the Belgian Authorities as a substitute for the classic bathymetric vessel soundings.

scholarly journals REMOTE SENSING DATA AS BASIS FOR THE MODELLING AND REASSEMBLY OF DISMANTLED HERITAGE STRUCTURES

2019 ◽  
Vol XLII-2/W15 ◽  
pp. 1187-1194 ◽  
Author(s):  
S. Vincke ◽  
M. Bassier ◽  
R. de Lima Hernandez ◽  
I. Dejaeghere ◽  
K. Carbonez ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Relative Position ◽  
3D Model ◽  
Remote Sensing Data ◽  
Current Situation ◽  
Built Heritage ◽  
Digital Modelling ◽  
Position And Orientation ◽  
Remote Sensing Techniques ◽  
Over Time

<p><strong>Abstract.</strong> Remote sensing techniques are invaluable for the documentation and preservation of built heritage. The techniques facilitate fast documentation of highly complex heritage structures with improved accuracies. Furthermore they improve the degree of detail substantially. This is extremely useful for the restoration of collapsed elements or the reassembly of dismantled structures. These entities are often challenging to puzzle back together. Moreover, the differential settlements of the elements over time heavily influence the relative position and orientation of the remaining pieces, further complicating the reconstruction. Digital modelling solutions with a 3D model of the current situation as take-off, are desperately needed by the industry to tackle the present obstacles. In this work, a framework is proposed that facilitates a more accurate reassembly of dismantled heritage elements. It consists of three major phases starting with the accurate recording of the current situation as well as the preserved components. Subsequently, the new design is dititally modelled, reducing the necessary time for the reassembly of the structure, which is the last step in the rebuilding workflow. The presented framework allows for an efficient and comprehensible reconstruction of the structure. A key aspect in the approach is the detection of missing components and the estimation of their dimensions for the production of accurate replicas. The potential is showcased by means of two case studies on the reassembly of flying buttresses and rib vaults of the Saint-James church in Leuven, Belgium, which is currently undergoing major stabilisation works. The presented approach allows heritage experts to gain better oversight over their reassembly project and work more efficiently.</p>

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