scholarly journals Using of historical cartography, remote sensing data and GIS for studying of land division system of Taurian Chersonesos

2020 ◽  
Vol 26 (4) ◽  
pp. 177-187
Author(s):  
Tatyana Smekalova ◽  
Edgar Terekhin ◽  
Alexei Pasumanskiy ◽  
Fedor Lisetskii
Keyword(s):  
Satellite Image ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Aerial Photographs ◽  
Mutual Arrangement ◽  
Basic Principles ◽  
Land Surveying ◽  
Historical Cartography ◽  
Land Holdings ◽  
Division System

The article presents the results of work on the use of historical cartography data, German captured aerial photographs of Luftwaffe 1941–1944, a satellite image of 1966 and geographic information systems (GIS) for a detailed reconstruction and identification of the basic principles of the ancient land division system of the ancient chora (rural area) of Tauric Chersonesos in Crimea. Based on the integrated GIS, it was possible to reconstruct an ancient grid of 4- and 6-hecatogygos blocks linked to the terrain, separated by roads. The creation of plans for intra-unit land surveying was carried out on the basis of the analysis of multi-temporal aerial and satellite imagery in the ArcGIS geographic information environment. It was carried out by creating and further processing a group of vector layers, the main of which included a grid of roads, the rest — dividing blocks into plots and single hector modules. The analysis in the GIS of the mutual arrangement of the elements of this grid made it possible to determine the sequence of development and delimitation of the territory of the Heraclean Peninsula in the 4th century BC. The study of the internal surveying of blocks by mosaic of aerial photographs of 1941–1944, integrated into the GIS, made it possible to trace the dynamics of changes in the 3rd century BC of internal division of blocs from individual civil plots (hectators) to large land holdings, sometimes reaching and even exceeding the size of the whole block. As a result of a comprehensive study using historical cartography, archival aerial photographs of the 1940s and a satellite image of 1966, collected in a single geographic information system, it was possible to determine the basic principles and identify the modules of the Taurian Chersonesos land surveying: a single civil plots (hecatogygos) and a unit of measurement of areas (aroura).

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.

Introducing Flood Susceptibility Index Using Remote-Sensing Data and Geographic Information Systems

2017 ◽  
pp. 381-400
Author(s):  
Nikolaos Stathopoulos ◽  
Kleomenis Kalogeropoulos ◽  
Christos Polykretis ◽  
Panagiotis Skrimizeas ◽  
Panagiota Louka ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Sensing Data ◽  
Susceptibility Index ◽  
Flood Susceptibility

scholarly journals SIG como herramienta de estudio y planificación del uso del suelo en zonas agrícolas [Using GIS for land use planning for rural landscapes]

2014 ◽  
Author(s):  
Mario Andrés GIRALDO FADUL
Keyword(s):  
Land Use ◽  
Sustainable Agriculture ◽  
Land Use Planning ◽  
Rural Areas ◽  
Satellite Image ◽  
Aerial Photographs ◽  
Gis Analysis ◽  
Rural Landscapes ◽  
Palabras Clave ◽  
Toma De Decisiones

Resumen Este artículo presenta los pasos metodológicos para el análisis histórico del uso del suelo usando sistemas geográficos de información, SIG, y sensores remotos, SR. Así mismo, muestra la aplicación de estas técnicas a un estudio de caso para la producción de herramientas digitales que puedan servir para planear y administrar zonas agrícolas de una forma eficiente y sostenible. En el estudio se describe como fotos aéreas de 1973 a 2001, y una imagen de satélite, fueron usadas para generar mapas básicos, mapas de cambio de uso del suelo, así como de unidades administrativas agrícolas. En este estudio se muestra como los mapas y tablas además de otros análisis generados con los sistemas SIG-SR se convierten en una importante estructura analítica para la toma de decisiones en el sector rural. Palabras clave: Uso del suelo, planificación rural, SIG, sostenibilidad   Abstract This paper discusses the use of geographic information systems, GIS, supported by remote sensing, RS, data as an important tool in the day to day decision making process on agriculture areas. The study is used to demonstrate how historical aerial photographs and a satellite image from 1973 to 2001 were used to produce land use, and land use change maps as well as maps of agriculture units for the study area that are later used for planning purposes of agriculture activities. The paper summarizes the methodological steps followed in the GIS analysis and the way that GIS-RS systems can be used in rural areas to plan and to manage day to day activities in agriculture areas under the philosophy of sustainable agriculture. Keywords: Sustainable agriculture, GIS, rural planning

scholarly journals Hybrid Invariant Local Features for Multiple Satellite Image Matching and Registration

2019 ◽  
Vol 9 (2) ◽  
pp. 309-314
Keyword(s):  
Image Matching ◽  
Feature Matching ◽  
Satellite Image ◽  
Remote Sensing Data ◽  
Local Features ◽  
Feature Descriptor ◽  
Matching Method ◽  
Multiple Images ◽  
Feature Sets ◽  
Precise Relationship

Automatic image registration (IR) is very challenging and very important in the field of hyperspectral remote sensing data. Efficient autonomous IR method is needed with high precision, fast, and robust. A key operation of IR is to align the multiple images in single co-ordinate system for extracting and identifying variation between images considered. In this paper, presented a feature descriptor by combining features from both Feature from Accelerated Segment Test (FAST) and Binary Robust Invariant Scalable Key point (BRISK). The proposed hybrid invariant local features (HILF) descriptor extract useful and similar feature sets from reference and source images. The feature matching method allows finding precise relationship or matching among two feature sets. An experimental analysis described the outcome BRISK, FASK and proposed HILF in terms of inliers ratio and repeatability evaluation metrics.

scholarly journals Atmospheric correction of multispectral satellite imagery

2020 ◽  
pp. 4-11
Author(s):  
Leonid Katkovsky
Keyword(s):  
Land Surface ◽  
Satellite Image ◽  
Atmospheric Correction ◽  
Remote Sensing Data ◽  
Sensor Data ◽  
Physical Parameters ◽  
Landsat 8 ◽  
Optical Parameters ◽  
Outgoing Radiation ◽  
Correction Technique

Atmospheric correction is a necessary step in the processing of remote sensing data acquired in the visible and NIR spectral bands.The paper describes the developed atmospheric correction technique for multispectral satellite data with a small number of relatively broad spectral bands (not hyperspectral). The technique is based on the proposed analytical formulae that expressed the spectrum of outgoing radiation at the top of a cloudless atmosphere with rather high accuracy. The technique uses a model of the atmosphere and its optical and physical parameters that are significant from the point of view of radiation transfer, the atmosphere is considered homogeneous within a satellite image. To solve the system of equations containing the measured radiance of the outgoing radiation in the bands of the satellite sensor, the number of which is less than the number of unknowns of the model, it is proposed to use various additional relations, including regression relations between the optical parameters of the atmosphere. For a particular image pixel selected in a special way, unknown atmospheric parameters are found, which are then used to calculate the reflectance for all other pixels.Testing the proposed technique on OLI sensor data of Landsat 8 satellite showed higher accuracy in comparison with the FLAASH and QUAC methods implemented in the well-known ENVI image processing software. The technique is fast and there is using no additional information about the atmosphere or land surface except images under correction.

scholarly journals Critical Land Detection using Remote Sensing Device and Geographic Information (Case Study of Critical Land Basic of Catchments Area, Alang, Wonogiri)

2017 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Beny Harjadi
Keyword(s):  
Remote Sensing ◽  
Field Survey ◽  
Critical Level ◽  
Satellite Image ◽  
Geographic Information ◽  
Level Data ◽  
The Difference

Work criteria and indicator of Catchments Area need to be determined because the success and the failure of cultivating Catchments Area can be monitored and evaluated through the determined criteria. Criteria Indicators in utilizing land, one of them is determined based on the erosion index and the ability of utilizing land, for analyzing the land critical level. However, the determination of identification and classification of land critical level has not been determined; as a result the measurement of how wide the real critical land is always changed all the year. In this study, it will be tried a formula to determine the land critical/eve/ with various criteria such as: Class KPL (Ability of Utilizing Land) and the difference of the erosion tolerance value with the great of the erosion compared with land critical level analysis using remote sensing devices. The aim of studying land critical level detection using remote sensing tool and Geographic Information System (SIG) are:1. The backwards and the advantages of critical and analysis method2. Remote Sensing Method for critical and classification3. Critical/and surveyed method in the field (SIG) Collecting and analyzing data can be found from the field survey and interpretation of satellite image visually and using computer. The collected data are analyzed as:a. Comparing the efficiency level and affectivity of collecting biophysical data through field survey, sky photo interpretation, and satellite image analysis.b. Comparing the efficiency level and affectivity of land critical level data that are found from the result of KPL with the result of the measurement of the erosion difference and erosion tolerance.

scholarly journals REMOTE SENSING AND GIS FOR LAND COVER CLASSIFICATION AND CHANGE DETECTION IN GAZIPUR SADAR, BANGLADESH DURING 1973-2017

2018 ◽  
Vol 5 (2) ◽  
pp. 215
Author(s):  
Md Arafat Hassan ◽  
Rakibul Islam ◽  
Rehnuma Mahjabin
Keyword(s):  
Remote Sensing ◽  
Supervised Classification ◽  
Agricultural Land ◽  
Satellite Image ◽  
Remote Sensing Data ◽  
Remote Sensing And Gis ◽  
Vegetation Coverage ◽  
Accurate Information ◽  
Sal Forest ◽  
Shed Light

This paper has been developed to capture the land coverage change in Gazipur Sadar Upazila with the help of remote sensing data of 44 years from 1973 to 2017. After acquiring the study area image of 1973, 1991, 2006 and 2017 supervised classification method has been used to get the accurate information from the satellite image and the whole outcome has been transformed into measurable unit (sq km) and graphs. The accuracy of land coverage was ranged from 85% to 89%. The outcome says that the acceleration of economic growth and pressure of huge population took a heavy toll on the vegetation coverage which decreased -199.7%. People are destroying vegetation coverage for building up settlements and infrastructure. In the year 2017, the map shows that the built-up area increased 312.9% for industry, settlement and agricultural purpose. Moreover agricultural land also drops down from 42% to 32%.  The rapid rate of decreasing vegetation coverage and small amount of existing vegetation coverage only 57 sq km (in 2017) is a red alert for the region. The Sal forest and other special flora species of that region is valuable resource for environment. This paper shed light on the fact that it is urgent to protect vegetation coverage so it will help the authority to make good policies and use other techniques to save vegetation coverage.

scholarly journals Sentinel-1 and -2 Based near Real Time Inland Excess Water Mapping for Optimized Water Management

2020 ◽  
Vol 12 (7) ◽  
pp. 2854 ◽  
Author(s):  
Boudewijn van Leeuwen ◽  
Zalán Tobak ◽  
Ferenc Kovács
Keyword(s):  
Water Management ◽  
Remote Sensing ◽  
Remote Sensing Data ◽  
Weather Conditions ◽  
Human Interaction ◽  
Aerial Photographs ◽  
Sensing Data ◽  
Weather Patterns ◽  
Excess Water ◽  
Frequent Monitoring

Changing climate is expected to cause more extreme weather patterns in many parts of the world. In the Carpathian Basin, it is expected that the frequency of intensive precipitation will increase causing inland excess water (IEW) in parts of the plains more frequently, while currently the phenomenon already causes great damage. This research presents and validates a new methodology to determine the extent of these floods using a combination of passive and active remote sensing data. The method can be used to monitor IEW over large areas in a fully automated way based on freely available Sentinel-1 and Sentinel-2 remote sensing imagery. The method is validated for two IEW periods in 2016 and 2018 using high-resolution optical satellite data and aerial photographs. Compared to earlier remote sensing data-based methods, our method can be applied under unfavorite weather conditions, does not need human interaction and gives accurate results for inundations larger than 1000 m2. The overall accuracy of the classification exceeds 99%; however, smaller IEW patches are underestimated due to the spatial resolution of the input data. Knowledge on the location and duration of the inundations helps to take operational measures against the water but is also required to determine the possibilities for storage of water for dry periods. The frequent monitoring of the floods supports sustainable water management in the area better than the methods currently employed.

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