Role of Remote Sensing Data and Geographic Information Systems to Support in Landuse Planning Activity at Urban Area

Land order in an urban area that is not based on complete and reasonable spatial information an cause an unintegrated development program. Therefore, spatial information that can analyze the information to make a decision of land order is greatly needed. To present the most reasonable physical data of the urban can use the data of remote sensing as a main source, because the data an present not only a high temporal resolution, but also a complete object. Along with the advance of computer-based GIS, the data of remote sensing can be integrated with GIS. In addition, the data sharing can be used in various sectors. Thus, both updating and mutual exchanging of data can be done easly.

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Role of an Altitudinal Zonal Basis and Remote Sensing Data in the Sustainable Management of Mountain Forests

Contemporary Problems of Ecology ◽

10.1134/s1995425520070070 ◽

2020 ◽

Vol 13 (7) ◽

pp. 742-753

Author(s):

D. I. Nazimova ◽

E. I. Ponomarev ◽

M. E. Konovalova

Keyword(s):

Remote Sensing ◽

Sustainable Management ◽

Remote Sensing Data ◽

Mountain Forests ◽

Sensing Data

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Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data

Forests ◽

10.3390/f12060692 ◽

2021 ◽

Vol 12 (6) ◽

pp. 692

Author(s):

MD Abdul Mueed Choudhury ◽

Ernesto Marcheggiani ◽

Andrea Galli ◽

Giuseppe Modica ◽

Ben Somers

Keyword(s):

Remote Sensing ◽

Urban Area ◽

Tree Species ◽

Carbon Stock ◽

Dominant Species ◽

Remote Sensing Data ◽

Data Sources ◽

Lidar Data ◽

Urban Tree ◽

Sensing Data

Currently, the worsening impacts of urbanizations have been impelled to the importance of monitoring and management of existing urban trees, securing sustainable use of the available green spaces. Urban tree species identification and evaluation of their roles in atmospheric Carbon Stock (CS) are still among the prime concerns for city planners regarding initiating a convenient and easily adaptive urban green planning and management system. A detailed methodology on the urban tree carbon stock calibration and mapping was conducted in the urban area of Brussels, Belgium. A comparative analysis of the mapping outcomes was assessed to define the convenience and efficiency of two different remote sensing data sources, Light Detection and Ranging (LiDAR) and WorldView-3 (WV-3), in a unique urban area. The mapping results were validated against field estimated carbon stocks. At the initial stage, dominant tree species were identified and classified using the high-resolution WorldView3 image, leading to the final carbon stock mapping based on the dominant species. An object-based image analysis approach was employed to attain an overall accuracy (OA) of 71% during the classification of the dominant species. The field estimations of carbon stock for each plot were done utilizing an allometric model based on the field tree dendrometric data. Later based on the correlation among the field data and the variables (i.e., Normalized Difference Vegetation Index, NDVI and Crown Height Model, CHM) extracted from the available remote sensing data, the carbon stock mapping and validation had been done in a GIS environment. The calibrated NDVI and CHM had been used to compute possible carbon stock in either case of the WV-3 image and LiDAR data, respectively. A comparative discussion has been introduced to bring out the issues, especially for the developing countries, where WV-3 data could be a better solution over the hardly available LiDAR data. This study could assist city planners in understanding and deciding the applicability of remote sensing data sources based on their availability and the level of expediency, ensuring a sustainable urban green management system.

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Study of Ancient Land Boundaries at Tauric Chersonesos Using Satellite Images

Ancient Civilizations from Scythia to Siberia ◽

10.1163/15700577-12341342 ◽

2019 ◽

Vol 25 (1) ◽

pp. 44-58 ◽

Cited By ~ 1

Author(s):

Edgar A. Terekhin ◽

Tatiana N. Smekalova

Keyword(s):

Remote Sensing ◽

Information Systems ◽

Geographic Information Systems ◽

Satellite Images ◽

Agricultural Land ◽

Remote Sensing Data ◽

Field Surveys ◽

The 1960S ◽

Better Than ◽

Made In

Abstract The near chora (agricultural land) of Tauric Chersonesos was investigated using multiyear remote sensing data and field surveys. The boundaries of the land plots were studied with GIS (Geographic Information Systems) technology and an analysis of satellite images. Reliable reconstruction of the borders has been done for 231 plots (from a total of about 380), which is approximately 53% of the Chersonesean chora. During the last 50 years, most of the ancient land plots have been destroyed by modern buildings, roads, or forests. However, in the 1960s, a significant part of the chora was still preserved. Changes in preservation with time were studied with the aid of satellite images that were made in 1966 and 2015. During that period, it was found that the number of plots with almost-complete preservation decreased from 47 to 0. Those land plots whose preservation was better than 50% dropped from 104 to 4. A temporal map shows this decline in preservation. It was found that the areas of land plots could be determined accurately with satellite images; compared to field surveys, this accuracy was about 99%.

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