scholarly journals Defining Boundaries and Dynamics of Urbanized Areas According to Remote Data Sensing

2020 ◽  
pp. 46-52
Author(s):  
Andrii Marushchynets
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
Urban Areas ◽  
Remote Sensing Data ◽  
Spatial Development ◽  
Earth Remote Sensing ◽  
Sensing Data ◽  
Wide Range ◽  
The Usa ◽  
Urbanized Areas

The article is devoted to the original approach of defining continuously built-up urban areas as well as the dynamics of this process by means of Earth remote sensing data analysis. Basing on this approach, the spreading borders of continuously built-up urban areas of Kyiv city and its suburbs during 1976-2018 have been defined. Earth remote sensing data, as a valuable source of information on land surface in general and built-up areas in particular, provides wide range of opportunities for researching the process of spatial development of urbanized areas. Analysis of built-up territories during significant period of time allows defining spatial development vectors of urbanized regions, modern continuously built-up areas and their borders. The review of similar researches has revealed that the most convenient sources of Earth remote sensing data for defining the area of built-up territories are represented by multispectral space footages of Landsat space program of the USA. The deciphering of space footages and defining of built-up areas has been conducted involving spectral indexes, which is the most precise method of deciphering the Earth remote sensing data. Thus, we managed to define built-up and non-built-up areas as well as water objects of Kyiv city and its suburbs for 1976, 1985, 2002 and 2008. A set of illustrating schematic maps has been created, depicting borders of built-up area. A continuously built-up urban area has amalgamated Kyiv city and a number of surrounding settlements into a highly-urbanized core. During 1976-2018, the area of continuously built-up urban territory of Kyiv expanded 1,5 times and mostly southwestwards.

scholarly journals Estimation of the temperature distribution in urban areas by using remote sensing data.

1994 ◽  
Vol 22 ◽  
pp. 267-273 ◽  
Author(s):  
Shinji KANEKO ◽  
Toshiie MAEDA ◽  
Takahito UENO ◽  
Hidefumi IMURA
Keyword(s):  
Remote Sensing ◽  
Temperature Distribution ◽  
Urban Areas ◽  
Remote Sensing Data ◽  
Sensing Data

scholarly journals Efficient land use based on remote sensing data

2021 ◽  
Vol 3 ◽  
pp. 180-185
Author(s):  
Y. M. Kenzhegaliyev ◽  
◽  
◽  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Remote Sensing Data ◽  
Crop Productivity ◽  
The State ◽  
Agricultural Crops ◽  
Earth Remote Sensing ◽  
Spectral Reflectivity ◽  
Sensing Data ◽  
Current Location

The goal -is to explore ways of using Earth remote sensing data for efficient land use. Methods - detailed information on current location of certain types of agricultural crops in the study areas has been summarized, which opens up opportunities for the effective use of cultivated areas. It was revealed that the basis of the principle of the method under consideration is the relationship between the state and structure of vegetation types with its reflective ability. It has been determined that information on the spectral reflective property of the vegetation cover in the future can help replace more laborious methods of laboratory analysis. For classification of farmland, satellite images of medium spatial resolution with a combination of channels in natural colors were selected. Results - a method for identifying agricultural plants by classification according to the maximum likelihood algorithm was considered. The commonly used complexes of geoinformation software products with modules for special image processing allow displaying indicators in the form of raster images. It is shown that the use of Earth remote sensing data is the most relevant solution in the field of crop recognition and makes it possible to simplify the implementation of such types of work as the analysis of the intensity of land use, the assessment of the degree of pollution with weeds and determination of crop productivity. Conclusions - the research results given in the article indicate that timely information on the current location of certain types of agricultural crops in the studied territories significantly simplifies the implementation of the tasks and increases the resource potential of agricultural lands. In turn, the timing of the survey and the state of environment affect the spectral reflectivity of vegetation.

scholarly journals Indicative landscape monitoring of the national nature park (case study the territory of Slobozhansky National Nature Park)

2018 ◽  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Terrestrial Ecosystems ◽  
Gis Technology ◽  
Landscape Indicators ◽  
Monitoring Method ◽  
Sensing Data ◽  
The Usa ◽  
Nature Park ◽  
Landscape Monitoring

Formulation of the problem. National Natural Parks (NNP) – protected areas where anthropogenic and natural landscapes are combined in the same territory. In addition, the main functions of such objects are significantly competitive, which requires monitoring of changes in existing landscapes. It is necessary to define the local objects which, being the most sensitive, at the same time have small plasticity, therefore, are capable to react quickly and adequately to any changes. That is what we call indicative. Analysis of recent research and publications. Many researchers of the USA, Great Britain, Germany, Australia conduct landscape monitoring using remote sensing data and GIS technologies. For example, D. Keith, S. Rodoreda, L. Holman, R. Noss, U. Walz, and others. The National Inventory of Landscapes in Sweden studies development of modern landscape monitoring in countries of Europe. Landscape Monitoring of Terrestrial Ecosystems, studied by researches R. Kennedy, J. Jons, K. Jones and others allow using data of satellite for selection of plant contours using Gis-technology. Landscape monitoring of the territory of NNP «Slobozhanskiy» has never been carried out. The aim of the study is to choose satellite images, taking into account the area of the study, the choice of optimal methods of their processing for the compilation of a database of landscape structure facies for landscape monitoring based on long-term observations on the ground, comparing their results with geodata. We have determined wetlands, as landscape indicators. Presentation of the main material of the study. Comprehensive analysis of remote sensing data carried out by the authors, allowed us to make sure that vegetation cover is the most indicative, except for the contours of wetlands, which are clearly identified and easily compared in multi-spectral images. It is reliably determined by the characteristic features combine with the corresponding spectral ranges and the image structure. In addition, changes in vegetation allows you to visually determine changes in landscape groupings and the speed of these changes. Summary. The indicative features of landscape monitoring are wetlands, and there are two direct indicators: the contours of wetlands and the change in the aspect of vegetation. The monitoring method is a multispectral analysis of images obtained by processing combinations of spectral channels, which showed the ability to determine the changes in the selection, taking into account reflectivity of the surface. Limitations of the method are the following: there is no established method of meticulous analysis of changes in the structure of vegetation, which is observed visually, but is not reflected instrumentally; inability to take into account random features of the territory conditions and space scanning at a certain point, which is interesting for the study. Finally, the types of monitoring objects, indicative signs of changes and ways to track them according to high-precision and generally available satellite information are determined.

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