scholarly journals Discovering Potential Settlement Areas around Archaeological Tells Using the Integration between Historic Topographic Maps, Optical, and Radar Data in the Northern Nile Delta, Egypt

2019 ◽  
Vol 11 (24) ◽  
pp. 3039 ◽  
Author(s):  
Abdelaziz Elfadaly ◽  
Mohamed A. R. Abouarab ◽  
Radwa R. M. El Shabrawy ◽  
Wael Mostafa ◽  
Penelope Wilson ◽  
...  
Keyword(s):  
Nile Delta ◽  
Remote Sensing Data ◽  
Radar Data ◽  
Primary Objective ◽  
Topographic Maps ◽  
Optical Data ◽  
History Of ◽  
The Creation ◽  
Settlement Studies ◽  
Settlement Areas

The primary objective of this study is to leverage the integration of surface mapping data derived from optical, radar, and historic topographical studies with archaeological sampling to identify ancient settlement areas in the Northern Nile Delta, Egypt. This study employed the following methods: digitization of topographic maps, band indices techniques on optical data, the creation of a 3D model from SRTM data, and Sentinel-1 interferometric wide swath (IW) analysis. This type of study is particularly relevant to the search for evidence of otherwise hidden ancient settlements. Due to its geographical situation and the fertility of the Nile, Egypt witnessed the autochthonous development of predynastic and dynastic civilizations, as well as an extensive history of external influences due to Greek, Roman, Coptic, Islamic, and Colonial-era interventions. Excavation work at Buto (Tell el-Fara’in) in 2017–18, carried out by the Kafrelsheikh University (KFS) in cooperation with the Ministry of Antiquities, demonstrated that remote sensing data offers considerable promise as a tool for developing regional settlement studies and excavation strategies. This study integrates the mission work in Buto with the satellite imagery in and around the area of the excavation. The results of the initial Buto area research serve as a methodological model to expand the study area to the North Delta with the goal of detecting the extent of the ancient kingdoms of Buto and Sakha. The results of this research include the creation of a composite historical database using ancient references and early topographical maps (1722, 1941, 1950, and 1997), Optical Corona (1965), Landsat MSS (Multispectral Scanner System) (1973, 1978, and 1988), TM (Thematic Mapper) (2005) data, and Radar SRTM (2014) and Sentinel1 (2018 and 2019) data. The data in this study have been analyzed using the ArcMap, Envi, and SNAP software. The results from the current investigation highlight the rapid changes in the land use/land cover in the last century in which many ancient sites were lost due to agriculture and urban development. Three potential settlement areas have been identified with the Sentinel1 Radar data, and have been integrated with the early maps. These discoveries will help develop excavation strategies aimed at elucidating the ancient settlement dynamics and history of the region during the next phase of research.

scholarly journals A Meta-Methodology for Improving Land Cover and Land Use Classification with SAR Imagery

2020 ◽  
Vol 12 (6) ◽  
pp. 961 ◽  
Author(s):  
Marinalva Dias Soares ◽  
Luciano Vieira Dutra ◽  
Gilson Alexandre Ostwald Pedro da Costa ◽  
Raul Queiroz Feitosa ◽  
Rogério Galante Negri ◽  
...  
Keyword(s):  
Remote Sensing Data ◽  
Data Classification ◽  
Test Site ◽  
Radar Data ◽  
Input Image ◽  
Optical Data ◽  
Land Use Classification ◽  
Object Based ◽  
Sar Imagery ◽  
Small Change

Per-point classification is a traditional method for remote sensing data classification, and for radar data in particular. Compared with optical data, the discriminative power of radar data is quite limited, for most applications. A way of trying to overcome these difficulties is to use Region-Based Classification (RBC), also referred to as Geographical Object-Based Image Analysis (GEOBIA). RBC methods first aggregate pixels into homogeneous objects, or regions, using a segmentation procedure. Moreover, segmentation is known to be an ill-conditioned problem because it admits multiple solutions, and a small change in the input image, or segmentation parameters, may lead to significant changes in the image partitioning. In this context, this paper proposes and evaluates novel approaches for SAR data classification, which rely on specialized segmentations, and on the combination of partial maps produced by classification ensembles. Such approaches comprise a meta-methodology, in the sense that they are independent from segmentation and classification algorithms, and optimization procedures. Results are shown that improve the classification accuracy from Kappa = 0.4 (baseline method) to a Kappa = 0.77 with the presented method. Another test site presented an improvement from Kappa = 0.36 to a maximum of 0.66 also with radar data.

scholarly journals POSSIBILITIES OF THE JOINT USE OF OPTICAL AND RADAR DATA IN FLOOD SPACE MONITORING

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 67-73
Author(s):  
O. P. Arkhipkin ◽  
G. N. Sagatdinova
Keyword(s):  
Spatial Resolution ◽  
Complex Analysis ◽  
Remote Sensing Data ◽  
Weather Conditions ◽  
High Water ◽  
Radar Data ◽  
Time Of Day ◽  
Optical Data ◽  
Additional Information ◽  
Good Spatial Resolution

<p><strong>Abstract.</strong> The article gives a brief description of the system of space monitoring of high water and floods. Its main tasks are the operational dynamics of snow and ice cover melting and the passage of flood waters. The solution of these tasks is carried out in three levels corresponding to the low, medium and high resolution of remote sensing data. An important role in monitoring is given to radar data. This is due to the features of the radar survey: independence from weather conditions and time of day, regularity, good spatial resolution, the possibility of using polarimetric properties (including phase information). The use of radar data also provides additional information, including the allocation of wet soils, flooded vegetation and infrastructure. The presence of large time periods of repeated survey, interference (cloudiness, haze, noise, etc.), different spatial resolution necessitates a complex analysis of optical and radar data in flood space monitoring. Such analysis makes it possible to better observe the flood dynamics, more precisely identify of flooding zones and determine their structure. Features of radar survey (transparency of dry snow and change of reflected signal during snowmelt) allow using them to determine the beginning of snow melt and determine the degree of water content in it. Optical data are also used to determine the area and structure of the snow cover. Method of detecting the beginning of the snowmelt period consists in the comparison of the current radar image with a base image created as an average image from the winter images with dry snow.</p>

scholarly journals Improving the Accuracy of Multiple Algorithms for Crop Classification by Integrating Sentinel-1 Observations with Sentinel-2 Data

2021 ◽  
Vol 13 (2) ◽  
pp. 243
Author(s):  
Amal Chakhar ◽  
David Hernández-López ◽  
Rocío Ballesteros ◽  
Miguel A. Moreno
Keyword(s):  
Remote Sensing ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Temporal Dynamics ◽  
Remote Sensing Data ◽  
Radar Data ◽  
Optical Data ◽  
Support Vector ◽  
Sensing Data ◽  
Crop Classification

The availability of an unprecedented amount of open remote sensing data, such as Sentinel-1 and -2 data within the Copernicus program, has boosted the idea of combining the use of optical and radar data to improve the accuracy of agricultural applications such as crop classification. Sentinel-1’s Synthetic Aperture Radar (SAR) provides co- and cross-polarized backscatter, which offers the opportunity to monitor agricultural crops using radar at high spatial and temporal resolution. In this study, we assessed the potential of integrating Sentinel-1 information (VV and VH backscatter and their ratio VH/VV with Sentinel-2A data (NDVI) to perform crop classification and to define which are the most important input data that provide the most accurate classification results. Further, we examined the temporal dynamics of remote sensing data for cereal, horticultural, and industrial crops, perennials, deciduous trees, and legumes. To select the best SAR input feature, we tried two approaches, one based on classification with only SAR features and one based on integrating SAR with optical data. In total, nine scenarios were tested. Furthermore, we evaluated the performance of 22 nonparametric classifiers on which most of these algorithms had not been tested before with SAR data. The results revealed that the best performing scenario was the one integrating VH and VV with normalized difference vegetation index (NDVI) and cubic support vector machine (SVM) (the kernel function of the classifier is cubic) as the classifier with the highest accuracy among all those tested.

The International Civil Service: Historical Development and Potential for the 21st Century

2003 ◽  
Vol 32 (1) ◽  
pp. 99-124 ◽  
Author(s):  
Udoh Elijah Udom
Keyword(s):  
World War I ◽  
United Nations ◽  
Civil Service ◽  
International System ◽  
Primary Objective ◽  
League Of Nations ◽  
The World ◽  
History Of ◽  
The Creation ◽  
The United Nations

By-products of World War I and II were the creation of the League of Nations (1919) and subsequently the United Nations (1945). The primary objective of both these global organizations (past, present and future) has been to make the world a better place for humanity. Principally, this has meant working with member states to prevent wars and to carry out humanitarian activities wherever they are needed. Right from the time of the League of Nations, carrying out global mandate of this nature necessitated the creation of international civil service (ICS) to be composed of competent men and women, to assist the world public service to achieve it global mandate. This article argues that ICS is an indispensable instrument of the orderly government of mankind, and must be preserved. The importance of ICS has never been so crucial than today when the world socio-political landscape is more turbulent than in the 1940s when both the ICS and the United Nations were created. The article begins by tracing the history of the ICS from 1919 to the present. It examines the principles of ICS enunciated by the Council of the League of Nations In 1920 and enshrined in the U.N. Charter 25 years later. Here again, the sanctity of the ICS, argued in this article, depends upon upholding these principles by all players in the international system.

scholarly journals Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir

2019 ◽  
Vol 11 (7) ◽  
pp. 778 ◽  
Author(s):  
Aminov Javhar ◽  
Xi Chen ◽  
Anming Bao ◽  
Aminov Jamshed ◽  
Mamadjanov Yunus ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Accuracy Assessment ◽  
Remote Sensing Data ◽  
Radar Data ◽  
Optical Data ◽  
Landsat 8 ◽  
Geological Investigation ◽  
Lineament Extraction ◽  
Automatic Lineament Extraction ◽  
Sentinel 2A

Lineament mapping, which is an important part of any structural geological investigation, is made more efficient and easier by the availability of optical as well as radar remote sensing data, such as Landsat and Sentinel with medium and high spatial resolutions. However, the results from these multi-resolution data vary due to their difference in spatial resolution and sensitivity to soil occupation. The accuracy and quality of extracted lineaments depend strongly on the spatial resolution of the imagery. Therefore, the aim of this study was to compare the optical Landsat-8, Sentinel-2A, and radar Sentinel-1A satellite data for automatic lineament extraction. The framework of automatic approach includes defining the optimal parameters for automatic lineament extraction with a combination of edge detection and line-linking algorithms and determining suitable bands from optical data suited for lineament mapping in the study area. For the result validation, the extracted lineaments are compared against the manually obtained lineaments through the application of directional filtering and edge enhancement as well as to the lineaments digitized from the existing geological maps of the study area. In addition, a digital elevation model (DEM) has been utilized for an accuracy assessment followed by the field verification. The obtained results show that the best correlation between automatically extracted lineaments, manual interpretation, and the preexisting lineament map is achieved from the radar Sentinel-1A images. The tests indicate that the radar data used in this study, with 5872 and 5865 lineaments extracted from VH and VV polarizations respectively, is more efficient for structural lineament mapping than the Landsat-8 and Sentinel-2A optical imagery, from which 2338 and 4745 lineaments were extracted respectively.

scholarly journals Evaluation of the potential of Sentinel-1 and Sentinel-1 data for clay content mapping

2020 ◽  
Author(s):  
Safa Bousbih ◽  
Mehrez Zribi ◽  
Zohra Lili-Chabaane ◽  
Nicolas Baghdadi ◽  
Azza Gorrab ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Texture ◽  
Water Cycle ◽  
Remote Sensing Data ◽  
Clay Content ◽  
Radar Data ◽  
Training Data ◽  
Optical Data ◽  
Support Vector ◽  
Atmospheric Conditions

&lt;p&gt;Soil texture is a key parameter in agricultural processes and an important measure for agricultural prediction, water cycle, filtering of pollutants and carbon storage. Besides, its estimation is essential for agronomists, hydrologists, geologists and environmentalists and for modeling in these application areas. Several studies have been based on understanding and modeling the biological, physical and chemical processes in the soil. Regarding the texture of the soil, few researches propose soil texture spatialization, and are generally based on ground measurements. Among other things, field observations or laboratory analyzes are very expensive and are not very representative. Indeed, the soil texture presents a strong heterogeneity even at the scale of a field. It is then necessary to use precise and spatialized information on soils.&lt;/p&gt;&lt;p&gt;These methods are generally based on remote sensing data and particularly optical data to restore soil component. However, these techniques are strongly affected by atmospheric conditions. This constraint is not valid for Radar sensors (Radio Detection And Ranging). Radar data are mainly sensitive to soil moisture and soil roughness, and has also been evaluated for its ability to perform texture measurements.&lt;/p&gt;&lt;p&gt;The aim of this study is evaluate the potential of these techniques based on optical and radar data for soil texture estimation. By its composition, its structure, its texture and its porosity, soil moisture is strongly influenced by the soil nature. With the arrival of Sentinel-1 (S-1) and Sentinel-2 (S-2) ESA spatial missions, data are acquired with high spatial and temporal resolution between July and early December 2017, on a semi-arid area in central Tunisia. This study is therefore conducted using S-2 SWIR (Short-Wave Infrared) bands (B11 and B12, most sensitive to clay) and soil moisture products derived from radar data. And algorithms based on the support vector machine (SVM) and random forest (RF) methods are proposed for the classification and mapping of clay content.&lt;/p&gt;&lt;p&gt;In order to evaluate the approach and determine the adequate data (between optical and radar data) allowing to precisely characterize the clay content, a cross-validation was used. The SWIR bands lead&amp;#160;to less satisfactory outcomes compared to soil moisture. With an overall accuracy of approximately 65%, soil moisture achieved the best performance for estimating soil texture. The results also showed that RF and SVM are robust classifiers for texture estimation despite the small number of training data. However, RF displays greater accuracy and speed of simulation compared to SVM.&lt;/p&gt;

Elite da Liberdade: a contribution to the history of black clubs in Brazil

2020 ◽  
Vol 9 (1) ◽  
pp. 396-411
Author(s):  
Petrônio José Domingues
Keyword(s):  
Social Inclusion ◽  
Black Identity ◽  
Sao Paulo ◽  
São Paulo ◽  
Educational Discourse ◽  
History Of ◽  
The Creation

This article investigates the trajectory of the Grêmio Dramático, Recreativo e Literário Elite da Liberdade (the Liberdade Elite Guild of Drama, Recreation, and Literature), a black club active in São Paulo, Brazil, from 1919 to 1927. The aim is to reconstruct aspects of the club’s history in light of its educational discourse on civility, which was used as a strategy to promote modern virtues in the black milieu. By appropriating the precepts of civility, Elite da Liberdade helped construct a positive black identity, enabled the creation of bonds of solidarity among its members, and made itself a place of resistance and struggle for social inclusion, recognition, and citizens’ rights.

The Russian Holy Synod and the Greeks

2020 ◽  
Vol 54 (1-3) ◽  
pp. 72-98
Author(s):  
Nikolaos Chrissidis
Keyword(s):  
Early Modern ◽  
Early Modern Period ◽  
Critical Assessment ◽  
Peter The Great ◽  
Modern Period ◽  
Greek History ◽  
History Of ◽  
The Creation

Abstract The article first surveys Greek interpretations of the creation of the Russian Holy Synod by Peter the Great. It provides a critical assessment of the historiographical paradigm offered by N.F. Kapterev for the analysis of Greek-Russian relations in the early modern period. Finally, it proposes that scholars should focus on a Greek history of Greek-Russian relations as a complement and possibly corrective to the Kapterev paradigm.

History of the creation and activities of the League of Nations

2019 ◽  
Vol 2019 (09) ◽  
pp. 108-113
Author(s):  
Alexander Begichev ◽  
Alexander Galushkin ◽  
Andrey Zvonaryev ◽  
Victor Shestak
Keyword(s):  
League Of Nations ◽  
History Of ◽  
The Creation

Russian Museum of Emperor Alexander III as a place of memory

2020 ◽  
Vol 2020 (11-1) ◽  
pp. 132-147
Author(s):  
Dmitry Rakovsky
Keyword(s):  
Comparative Analysis ◽  
Historical Consciousness ◽  
Russian Society ◽  
Museum Collection ◽  
Works Of Art ◽  
History Of ◽  
The Creation ◽  
Historical Representations

The main purpose of this article is to study the role of the Russian Museum in the formation of the historical consciousness of Russian society. In this context, the author examines the history of the creation of the Russian Museum of Emperor Alexander III and its pre-revolutionary collections that became the basis of this famous museum collection (in particular, the composition of the museum’s expositions for 1898 and 1915). Within the framework of the methodology proposed by the author, the works of art presented in the museum’s halls were selected and distributed according to the historical eras that they reflect, and a comparative analysis of changes in the composition of the expositions was also carried out. This approach made it possible to identify the most frequently encountered historical heroes, to consider the representation of their images in the museum’s expositions, and also to provide a systemic reconstruction of historical representations broadcast in its halls.

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