scholarly journals Using XVIII–XIX Cent. Maps and Modern Remote Sensing Data for Detecting the Changes in the Land Use at Bulgarian Fortified Settlements in the Volga Region

Earth ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 51-65
Author(s):  
Maxim Ivanov ◽  
Halim Abdullin ◽  
Iskander Gainullin ◽  
Artur Gafurov ◽  
Bulat Usmanov ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Remote Sensing Data ◽  
Volga Region ◽  
Anthropogenic Factors ◽  
Landsat 8 ◽  
13Th Century ◽  
Heritage Sites ◽  
Arable Farming ◽  
Map Data

This study uses modern and historic spatial data to analyze land use around 13th Century AD Bulgarian fortified settlements to examine the current state of these features and how changes in land use over the past two centuries have affected these features. Historic maps from the late 18th to the early 19th centuries AD were used alongside Landsat 8 images from 2015–2018 as a source of information about land use. Based on the results of archival map analysis and the classification of satellite imagery, the interpretation of land use around Bulgarian fortified settlements was possible. This method generated new data about land use dynamics near cultural heritage sites in the Volga Region. The diachronic study of sequential map data allowed researchers to further understand how anthropogenic factors have impacted the survivability of Bulgarian sites in the region. Among these, arable farming, hydro-electric power generation, and urban growth have had the greatest impact on these features.

scholarly journals Landuse Changes Refer to Spatial Planning Regulations at Kelara Watershed Area: An Analysis Using Geospatial Information Technology

2015 ◽  
Vol 29 (1) ◽  
Author(s):  
Andi Ramlan ◽  
Risma Neswati ◽  
Sumbangan Baja ◽  
Muhammad Nathan
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Spatial Data ◽  
Spatial Planning ◽  
Land Use Changes ◽  
Remote Sensing Data ◽  
Landsat 8 ◽  
Geospatial Information ◽  
Survey Techniques ◽  
Information System Technology

The purpose of this study is to analyze land use changes in the Kelara watershed and to assess the suitability of current land use changes with the spatial planning regulation of Jeneponto within Kelara basin. This study integrates various survey techniques, remote sensing, and geographic information system technology analysis. Geospatial information used in this study consists of Landsat ETM 7+ satellite imagery (2009) and Landsat 8 (2014) as well as a number of spatial data based on vector data which is compiled by the Jeneponto Government. Remote sensing data using two time series (2009 and 2014) are analyzed by means of supervised classification and visual classification.  The analysis indicated that land use type for the paddy fields and forests (including mangroves) converted become a current land use which is inconsistent with the spatial planning regulation of Jeneponto.The use of land for settlement tends to increase through conversion of wetlands (rice fields). These conditions provide an insight that this condition will occur in the future, so that providing the direction of land use change can be better prepared and anticipated earlier.

scholarly journals Monitoring of specially protected natural territories of forest-steppe landscapes of the Stavropol upland by means of remote sensing data

2021 ◽  
Vol 27 (1) ◽  
pp. 364-376
Author(s):  
Tigran Shahbazyan
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Satellite Images ◽  
Remote Sensing Data ◽  
Anthropogenic Factors ◽  
Forest Steppe ◽  
Landsat 8 ◽  
Sensing Data ◽  
Ndvi Index ◽  
The Impact

The article considers the methodology of monitoring specially protected natural areas using remote sensing data. The research materials are satellite images of the Landsat 5 and Landsat 8 satellites, obtained from the resource of the US Geological Survey. The key areas of the study were 3 specially protected areas located within the boundaries of the forest-steppe landscapes of the Stavropol upland, the reserves «Alexandrovskiy», «Russkiy Les», «Strizhament». The space survey materials were selected for the period 1991–2020, and the data from the summer seasons were used. The NDVI index is chosen as the method of processing the spectral channels of satellite imagery. To integrate long-term satellite imagery into a single raster image, the method of variance of the variation series for the NDVI index was used. The article describes an algorithm for processing satellite images, which allows us to identify the features of the dynamics of the vegetation state of the studied territory for the period 1991–2020. The bitmap image constructed by means of the variance of the NDVI index was classified by the quantile method, to translate numerical values into classes with qualitative characteristics. There were 4 classes of the territory according to the degree of dynamism of the vegetation state: “stable”, “slightly variable”, “moderately variable”, “highly variable”. The paper highlights the factors of landscape transformation, including natural and anthropogenic ones. In the course of the study, the determining influence of anthropogenic factors of transformation was noted. The greatest impact is on the reserve «Alexandrovskiy», the least on the reserve «Russkiy Les», in the reserve «Strizhament» the impact is expressed locally. The paper identifies the leading anthropogenic factors of vegetation transformation, based on their influence on vegetation.

scholarly journals Mapping Archaeological Site of Keraton Pleret Using Aerial Photograph

2020 ◽  
Vol 4 (1) ◽  
pp. 320-326
Author(s):  
Warsini Handayani ◽  
Bagus Arif Setiawan ◽  
Bayu Argadyanto Prabawa ◽  
Taufik Hery Purwanto ◽  
Fredi Satya Candra Rosaji ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Remote Sensing Data ◽  
Archaeological Site ◽  
Data Interpretation ◽  
Primary Data ◽  
Archaeological Sites ◽  
Topographic Map ◽  
Community Activities ◽  
Digital Orthophoto

As a cultural heritage, Site of Keraton (Palace) Pleret becomes an essential relic in Javanese history and culture to preserve and deliver ancient information for the next generation sustainably. On the other hand, this preservation is dealing with quite rapid built-up area development. Mapping can be a significant effort as primary data in cultural preservation management. This study aims to make a detailed site map of the Keraton Pleret and identify the existing land use in each site component. Through remote sensing data interpretation and analysis, identification and mapping of archaeological sites done by matching previous archaeological documents, field conditions, digital orthophoto from aerial photography, and digital topographic data (digital surface models, DSM). Site components were identified firstly by matching the existence of the street network and river from a topographic map with orthophoto to obtain site orientation based on artificial infrastructure and existing natural features. It was followed by matching between Keraton Pleret blueprint document, previous archaeological information, and orthophoto to identify and locate each site component. Existing land use information obtained by orthophoto interpretation. Data analysis shows the compatibility between spatial data used in this research and previous documents to identify components and result in Keraton Pleret site map. At present, most of the Keraton Pleret site area has been converted to buildings and paddy fields, strengthen the need for archaeological sites management which alongside community activities.

scholarly journals Analysis of Land Use Land Cover Changes with Land Surface Temperature Using Spatial-Temporal Data for Nagpur City, India

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Farhan Khan ◽  
Bhumika Das ◽  
R. K. Mishra ◽  
Brijesh Patel
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Spatial Data ◽  
Land Surface ◽  
Water Bodies ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
Barren Land

Abstract Remote sensing and Geographic Information System (GIS) are the most efficient tools for spatial data processing. This Spatial technique helps in generating data on natural resources such as land, forests, water, and their management with planning. The study focuses on assessing land change and surface temperature for Nagpur city, Maharashtra, for two decades. Land surface temperature and land use land cover (LULC) are determined using Landsat 8 and Landsat 7 imageries for the years 2000 and 2020. The supervised classification technique is used with a maximum likelihood algorithm for performing land classification. Four significant classes are determined for classification, i.e., barren land, built-up, vegetation and water bodies. Thermal bands are used for the calculation of land surface temperature. The land use land cover map reveals that the built-up and water bodies are increasing with a decrease in vegetation and barren land. Likewise, the land surface temperature map showed increased temperature for all classes from 2000 to 2020. The overall accuracy of classification is 98 %, and the kappa coefficients are 0.98 and 0.9 for the years 2000 and 2020, respectively. Due to urban sprawl and changes in land use patterns, the increase in land surface temperature is documented, which is a global issue that needs to be addressed.

scholarly journals THE EFFECT OF ENVIRONMENTAL CONDITION CHANGES ON DISTRIBUTION OF URBAN HEAT ISLAND IN JAKARTA BASED ON REMOTE SENSING DATA

2017 ◽  
Vol 12 (1) ◽  
pp. 27
Author(s):  
Indah Prasasti ◽  
. Suwarsono ◽  
Nurwita Mustika Sari
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Heat Island ◽  
Environmental Conditions ◽  
Remote Sensing Data ◽  
Parameter Extraction ◽  
Landsat 8 ◽  
Heat Island ◽  
Sensing Data ◽  
Urban Heat

Anthropogenic activities of urban growth and development in the area of Jakarta has caused increasingly uncomfortable climatic conditions and tended to be warmer and potentially cause the urban heat island (UHI). This phenomenon can be monitored by observing the air temperature measured by climatological station, but the scope is relatively limited. Therefore, the utilization of remote sensing data is very important in monitoring the UHI with wider coverage and effective. In addition, the remote sensing data can also be used to map the pattern of changes in environmental conditions (microclimate). This study aimed to analyze the effect of changes in environmental conditions (land use/cover, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Build-up Index (NDBI)) toward the spread of the urban heat island (UHI). In this case, the UHI was identified from pattern changes of Land Surface Temperature (LST) in Jakarta based on data from remote sensing. The data used was Landsat 7 in 2007 and Landsat 8 in 2013 for parameter extraction environmental conditions, namely: land use cover, NDVI, NDBI, and LST. The analysis showed that during the period 2007 to 2013, there has been a change in the condition of the land use/cover, impairment NDVI, and expansion NDBI that trigger an increase in LST and the formation of heat islands in Jakarta, especially in the area of business centers, main street and surrounding area, as well as in residential areas.

scholarly journals Development of Land-Use/Land-Cover Maps Using Landsat-8 and MODIS Data, and Their Integration for Hydro-Ecological Applications

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4891 ◽  
Author(s):  
Sadia Afrin ◽  
Anil Gupta ◽  
Babak Farjad ◽  
M. Ahmed ◽  
Gopal Achari ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Coniferous Forest ◽  
Mixed Forest ◽  
Anthropogenic Factors ◽  
Landsat 8 ◽  
Athabasca River ◽  
River Watershed ◽  
Landscape Characteristics ◽  
Ecological Applications

The Athabasca River watershed plays a dominant role in both the economy and the environment in Alberta, Canada. Natural and anthropogenic factors rapidly changed the landscape of the watershed in recent decades. The dynamic of such changes in the landscape characteristics of the watershed calls for a comprehensive and up-to-date land-use and land-cover (LULC) map, which could serve different user-groups and purposes. The aim of the study herein was to delineate a 2016 LULC map of the Athabasca River watershed using Landsat-8 Operational Land Imager (OLI) images, Moderate Resolution Imaging Spectroradiometer (MODIS)-derived enhanced vegetation index (EVI) images, and other ancillary data. In order to achieve this, firstly, a preliminary LULC map was developed through applying the iterative self-organizing data analysis (ISODATA) clustering technique on 24 scenes of Landsat-8 OLI. Secondly, a Terra MODIS-derived 250-m 16-day composite of 30 EVI images over the growing season was employed to enhance the vegetation classes. Thirdly, several geospatial ancillary datasets were used in the post-classification improvement processes to generate a final 2016 LULC map of the study area, exhibiting 14 LULC classes. Fourthly, an accuracy assessment was carried out to ensure the reliability of the generated final LULC classes. The results, with an overall accuracy and Cohen’s kappa of 74.95% and 68.34%, respectively, showed that coniferous forest (47.30%), deciduous forest (16.76%), mixed forest (6.65%), agriculture (6.37%), water (6.10%), and developed land (3.78%) were the major LULC classes of the watershed. Fifthly, to support the data needs of scientists across various disciplines, data fusion techniques into the LULC map were performed using the Alberta merged wetland inventory 2017 data. The results generated two useful maps applicable for hydro-ecological applications. Such maps depicted two specific categories including different types of burned (approximately 6%) and wetland (approximately 30%) classes. In fact, these maps could serve as important decision support tools for policy-makers and local regulatory authorities in the sustainable management of the Athabasca River watershed.

scholarly journals Geographic Information System in Mapping Land Use in South Aceh District

2018 ◽  
Vol 3 (2) ◽  
pp. 70
Author(s):  
Oktalia Triananda Lovita ◽  
Resky Rusnanda
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Data ◽  
Geographic Information ◽  
Landsat 8 ◽  
Gis Technology ◽  
Large Bulk ◽  
Housing Complex ◽  
Gis Software

The dawn of the age of computerization has opened up a new horizon and paradigm in the decision making process and dissemination of information. In the past difficulties arise when a large bulk of data representing of modeling a certain phenomenon was to be compiled because these data were often detached from each other. With Geographic Information System (GIS), the storing, administration, processing, manipulation, analysis and exhibition of important data in a system of information can be done with ease and speed. This study attempts to represent and model the available data of Sourt Aceh Selatan concerning its administrative boundaries, land, geology, land use and slope, Using ArcGIS 10.3, a GIS software that is capable to represent spatial data as well as attributes of the study areas. the results of rms error on landsat 8 oil images obtained mean 0.51, GIS technology in civil engineering work is normally used in the planning and preparation of a new land for the development of a housing complex.

scholarly journals A diachronic study of Ourika watershed land in the High Atlas of Morocco

2021 ◽  
Vol 234 ◽  
pp. 00080
Author(s):  
Meysara Elmalki ◽  
Fouad Mounir ◽  
Abdellah Ichen ◽  
Thami Khai ◽  
Mohammed Aarab
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Anthropogenic Factors ◽  
Support Vector ◽  
Landsat 8 ◽  
High Atlas ◽  
North West ◽  
The North ◽  
Ourika Watershed ◽  
Landsat Satellite

The Ourika watershed, located in the North-West of Moroccan High Atlas, has undergone several spatio-temporal changes and accelerated land use dynamics as a result of the interaction of climatic, topographic and anthropogenic factors. The objective of this study is to monitor the evolution of land use in the study area over the past 33 years. Landsat satellite imagery has been chosen for land cover mapping, providing a sufficient detail to identify land cover characteristics while providing more or less complete coverage of the area of action. Landsat 5 Thematic Mapper satellite images from 1987 and Landsat 8 Operational Land Imager from 2019 were used, with a spatial resolution of 30m. The images were treated and classified using Support Vector Machine algorithm (SVM) implemented on QGIS Geographic Information System software. The classification evaluation shows a Kappa coefficient of 85% and 84% and an overall accuracy of 95% and 94% for 1987 and 2019 respectively. Furthermore, the results showed a 10% decrease in the forest as well as a significant increase in the pasture, arboriculture, bare land and buildings with a respective percentage of 5.99%, 1.67%, 1.48% and 1.37% accordingly.

scholarly journals EVALUATION OF LAND USE WITH LAND CAPABILITY CLASSIFICATION USING SATELLITE DATA AND GIS IN BATUR UNESCO GLOBAL GEOPARK

2019 ◽  
Vol 13 (1) ◽  
pp. 61
Author(s):  
Putu Wira Utama ◽  
I Wayan Sandi Adnyana
Keyword(s):  
Land Use ◽  
Supervised Classification ◽  
Land Use Changes ◽  
Remote Sensing Data ◽  
Landsat 8 ◽  
Land Capability ◽  
Land Use Suitability ◽  
Pixel Value ◽  
Suitable Area ◽  
Land Use Maps

Development in ??Batur UNESCO Global Geopark has increased significantly in recent years. The land use changes in Bangli regency that the plantation, built-up/residential and tourism support facilities development increased quickly, especially in Kintamani district. To know the suitability of land use in Batur UNESCO Global Geopark area, it is necessary to evaluate land use with land capability classification. Landsat 8 remote sensing data on 27 September 2017 was used to create land use maps. Land use maps obtained through the process of image classification using supervised classification method and verified by ground check, this technique result 10 classes of land use. Land capability class map generated from improvisation overlay methods, reclassification of differentiator classes into the differentiator value of a raster data pixel (differentiator pixel value method). Furthermore, to evaluate of land use suitability was conducted by comparing land use with land capability class. In this process, there is an overlay between the land use maps with land capability class map using geographic information system (GIS). The results of evaluation land use in Batur UNESCO Global Geopark with land capability class overall has suitable area 15,764.78 ha (88.49%), not suitable area 1,767.48 ha (9.92%) and not detected/cloud interference 283.67 ha (1.59%).

scholarly journals Estimating the Volume of Sediments and Assessing the Water Balance of the Badra Basin, Eastern Iraq, Using Swat Model and Remote Sensing Data

2021 ◽  
Vol 54 (2C) ◽  
pp. 88-99
Author(s):  
Awad A. Sahar
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Water Balance ◽  
Assessment Tool ◽  
Remote Sensing Data ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
Sensing Data ◽  
Water Assessment

The primary objective of this study is to employ the remote sensing data and Soil & Water Assessment Tool model to estimate sediment volume and assess the water balance of the Badra Basin (2,615km2) in eastern Iraq. Remote sensing data was utilized as the main input with the Soil & Water Assessment Tool model. These data involved a land use-land cover map that was constructed by the classification of the Landsat-8 satellite imagery for the year 2020, STMR digital elevation model, soil map was acquired from the Food and Agriculture Organization and climatic data were sourced from the NASA-funded prediction of Worldwide Energy Resource The results discovered that about 40 % and 18% of the yearly rainfall are losing by evapotranspiration and filtration. The average amount of annual sediment transported was predicted at 120.47 tons /ha, 2018 recorded the highest value of transported sediment which is about 360 tons /ha. The volume of annual runoff was assessed at about 340.74 million m3. These results proved that the Soil & Water Assessment tool model has the ability to estimation the sediment and runoff volume. The climatic elements, especially rainfall, in addition to soil classes, topography, and land use-land cover had a significant impact on the amount of transported sediments and the volume of runoff.

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