scholarly journals Classification of Urban Land Use Based on Graph Theory and Geographic Information System

2019 ◽  
Vol 24 (6) ◽  
pp. 633-639 ◽  
Author(s):  
Sufen Zhang
Keyword(s):  
Land Use ◽  
Information System ◽  
Graph Theory ◽  
Geographic Information System ◽  
Urban Land ◽  
Geographic Information ◽  
Urban Land Use

scholarly journals Automated Classification of Agricultural Lands Using GIS and NES

2018 ◽  
Vol 7 (4.38) ◽  
pp. 1146
Author(s):  
V. K. Kalichkin ◽  
A. I. Pavlova ◽  
A. F. Petrov ◽  
V. A. Smolyakov
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Interpolation Method ◽  
Ground Surface ◽  
Geographic Information ◽  
Automated Classification ◽  
Stream Power ◽  
Stream Power Index

The article proposes the methodology for the automated classification of uplands using Geographic Information System (GIS) and Neural Expert System (NES). Quantitative indicators of topography are used as the basis of the proposed classification. A database consisting of topographic, soil, and land use maps was created using ArcGIS 10 geographic information system. A topologically correct digital elevation model (DEM) was created by the ANUDEM interpolation method. The DEM contains the following maps: hypsometric, steepness and slopes exposure, plan, profile, common curvature of the ground surface, and cumulative runoff maps. The boundaries of elementary surfaces (ES), which are homogeneous morphological formations, are established. Parameters characterizing the Stream Power Index (SPI) are taken into account. The essence of the proposed classification consists in attributing of ES to a certain group of lands based on aggregate of features. To do this, partial scales were created, containing indicators of topography, soil cover, land drainage conditions, as well as the degree of erosion development. The authors formed knowledge base for traning the NES using GIS database and partial scales of estimates. Teaching of neural network was carried out. The classification and topology of land was carried out by means of the NES. The uplands are distributed in flat and slightly convex areas. They are characterized by the following indicators: the curvature of the ground surface: plan curvature (0 – 0.03), profile curvature (0 – 0.15), common curvature (0 – 0.22); slope angles (less than 1.5о); horizontal dissection in elevation (less than 0.5 km/km2), vertical dissection (less than 5 m); and SPI (from -13.80 to -6.47). Electronic map of uplands of LLC «Salair» land-use area was created in the ArcGIS 10 environment.  

scholarly journals Use of Remote Sensing and Geographic Information System for the Classification of Agricultural Land Uses and Land Cover in the Al-Sad Al-Adhim sub District – Iraq

2018 ◽  
Vol 225 (2) ◽  
pp. 245-273
Author(s):  
Assist. Prof. Dr. Saleem Y. Jamal
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Land Cover ◽  
Agricultural Land ◽  
Geographic Information ◽  
Land Uses ◽  
Barren Land

     Land use refers to the human activity associated with a particular area of land. The land cover refers to the pattern of appearances located on the surface of the earth. Survey, inventory, monitoring and classification of land use and land cover are a fundamental step in the land use planning process, in evaluating and comparing alternatives and in choosing the best and sustainable use of land for development, accomplishment economic and social well-being. Remote sensing and Geographic Information System provided advantages that conventional methods could not provide for surveys and monitoring of natural and human resources, and classification of agricultural land uses and land cover in the area of the Al-Sad Al-Adhim sub District – Iraq. Depending on the Anderson system and others to classify land uses and land cover, through the integration of digital interpretation with the use of Digital Image Processing (ERDAS IMAGINE) software, and visual interpretation using ArcGIS software. Classification of agricultural land use and land cover up to the third level, with over all accuracy of the map 90%. the percentage distribution of the areas shows that the agricultural lands ranked first and occupy 52%, then grassland occupies 19%, barren land is occupied 17%, urban areas and built up occupy 9% water is ranked last occupy 3% of the total area of the study area.

PERHITUNGAN RUANG TERBUKA HIJAU PERKOTAAN JENIS PUBLIK (STUDI KASUS : KOTA SURAKARTA)

2018 ◽  
Vol 1 (1) ◽  
pp. 106-115
Author(s):  
Hapsari Wahyuningsih,
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Research Methods ◽  
Open Space ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Utilization ◽  
Research Framework ◽  
City Area

Abstract: This research was conducted on 4 aspects, namely: (1) Aspect of Urban Green Open Space, (2) Aspect of Urban Land Use, (3) Aspect of Urban Land Utilization, and (4) Aspect of Public Green Open Space. Research methods are using Geographic Information System (GIS), research framework adopt from Peraturan Menteri PU no 12 / PRT / M / 2009 (Pedoman Penyediaan dan Pemanfaatan Ruang Terbuka Non Hijau Di Wilayah Kota/Kawasan Perkotaan ) and Peraturan Menteri PU no 05/PRT/M/2008 ( Pedoman Penyediaan dan Pemanfaatan Ruang Terbuka Hijau di Wilayah Kota/Kawasan Perkotaan). Result of research that (1) understanding of public green open space, (2)The occurrence of change of public green open space and (3) the existing area of Public green open space of Surakarta City to the total city area as a whole.

scholarly journals The Use of Remote Sensing and Geographic Information System Techniques to Determine Relationships between Land Use and Landform

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Tülay TUNÇAY ◽  
İlhami BAYRAMİN ◽  
Hasan Sabri ÖZTÜRK ◽  
Mümtaz KİBAR ◽  
Oğuz BAŞKAN
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information

Expert system classification of urban land use/cover for Delhi, India

2008 ◽  
Vol 29 (15) ◽  
pp. 4405-4427 ◽  
Author(s):  
Elizabeth A. Wentz ◽  
David Nelson ◽  
Atiqur Rahman ◽  
William L. Stefanov ◽  
Shoursaseni Sen Roy
Keyword(s):  
Land Use ◽  
Expert System ◽  
Urban Land ◽  
Urban Land Use

Calculation of Land Consolidation Potential Based on GIS

2014 ◽  
Vol 580-583 ◽  
pp. 2769-2773
Author(s):  
Yan Hua Liu ◽  
Wei Qing Chen
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Land Consolidation ◽  
Cultivated Land ◽  
Thematic Maps ◽  
Residential Land ◽  
Rural Residential Land ◽  
In Virtue Of

Through the analysis of land use actuality, this paper summarizes the characteristics of land use, in virtue of geographic information system (GIS) platform, the database of land consolidation is constructed, combining with different calculation models of cultivated land and rural residential land consolidation potential, the consolidation potentials of cultivated land and rural residential land are calculated, and the thematic maps about land consolidation potential of each village and town in study area are mapped out. The results show that the land consolidation areas are mainly concentrated in the middle of study area.

Sign in / Sign up

Export Citation Format

Share Document