scholarly journals CLASSIFICATION OF LAND CAPABILITY IN MANOKWARI AREA USING GEOGRAPHIC INFORMATION SYSTEM (GIS)

2020 ◽  
Vol 6 (2) ◽  
pp. 129-139
Author(s):  
Brenda Fonataba ◽  
Prima Jiwa Osly ◽  
Irfan Ihsani
Keyword(s):  
Land Use ◽  
Information System ◽  
Natural Disasters ◽  
Regional Development ◽  
Geographical Information ◽  
Land Resources ◽  
Land Capability ◽  
Land Quality ◽  
Analysis Process

The Land is a natural resource that has limitations to accommodate human activities in land use. Utilization of land for residential land, regional development or, other land uses sometimes creates many environmental problems such as degradation of land quality and disturbance of natural balance. The increasing need for and competition in land use for regional development in Manokwari Regency requires careful thought in making decisions about the most beneficial use of limited land resources. Land Capability Classification is directed to determine the potential of land for broad land use based on suitable methods of use. The research variables used are nine Land Capability Units (LCU), namely LCU Morphology, LCU Slope Stability, LCU for Foundation Stability, LCU Water Availability, LCU Ease of Doing, LCU Against Erosion, LCU for Waste Disposal, LCU for Drainage and LCU for Natural Disasters. All LCU are analyzed using input in the form of factors limiting land capability consisting of maps of elevation, slope, soil type, rainfall, watershed, geology, natural disasters, and land use. The analysis produces an output in the form of a land capability classification map from the results of the digital spatial analysis process using a Geographical Information System (GIS).

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 Prediksi Erosi dan Arahan Penggunaan Lahan Daerah Aliran Sungai Yeh Leh Provinsi Bali

2018 ◽  
Vol 12 (1) ◽  
pp. 77
Author(s):  
Ni Made Ayu Ratna Sari ◽  
I Wayan Sandi Adnyana ◽  
I Nyoman Merit
Keyword(s):  
Land Use ◽  
Water Conservation ◽  
Limiting Factors ◽  
Class Iii ◽  
Scoring Method ◽  
Land Capability ◽  
Watershed Area ◽  
Erosion Level ◽  
Soil And Water

Erosion in the watershed generally occurs due to land use that ignores the rules of soil and water conservation. There is much activity carried out by people living on land in the Yeh Leh watershed area, which makes the level of dependence is very enormous.The erosion forecast is using the USLE (Universal Soil Loss Equation) to estimate the erosion swift occurs and to obtain illustration in determining the precise soil and water measures in a region. The determination of land capability classification is using Arsyad’s method (1989) in which to classify the land ability by classifying the land ability class based on the value of land limiting factors, which then adjusted to the criteria of classification of land capability. The land use directional determination is applying the scoring method where combining field slope factor, soil sensitivity to erosion and daily rainfall intensity. The erosion level of the YehLeh watershed area is categorized as mild to very severe. A very light erosion level as large as 515 ha (21.01%), with the land use in the form of irrigated rice field and forest. The severe erosion level as large as 990.02 ha (40.40%) with land use in the form of plantations. The very heavy erosion level as large as 945.82 ha (38.59%) with land use in the form of plantations. The classification of land capability in the YehLeh watershed area consists of 5 classes of land abilities: class II of 115, 22 ha (4.70%), class III of 533.95 ha (21.79%), class IV of 423.61 (17.28%), Class VI of 1,102.03 ha (44.97%), and Class VII of 276.03 ha (11.26%), with some limiting factors for instance, soil texture, erosion and drainage. Proposed land use in the YehLeh watershed area use for forest areas is as protected forest of 456.49 ha (18.63%). Proposed land use outside of the forest area consist of 58.51 ha (2.39%) of seasonal crops, annual cultivation area of 990.02 ha (40.40%) and buffer area of 945.82 (38.59%). Keywords: watershed, erosion, land capability classification, proposed land use.

scholarly journals THE EFFECT OF LAND USE CHANGE ON LAND SURFACE TEMPERATURE IN THE NETHERLANDS

2015 ◽  
Vol XL-1-W5 ◽  
pp. 745-748 ◽  
Author(s):  
S. Youneszadeh ◽  
N. Amiri ◽  
P. Pilesjo
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Use Change ◽  
The Netherlands ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Land Use Changes ◽  
Geographical Information

The Netherlands is a small country with a relatively large population which experienced a rapid rate of land use changes from 2000 to 2008 years due to the industrialization and population increase. Land use change is especially related to the urban expansion and open agriculture reduction due to the enhanced economic growth. This research reports an investigation into the application of remote sensing and geographical information system (GIS) in combination with statistical methods to provide a quantitative information on the effect of land use change on the land surface temperature. In this study, remote sensing techniques were used to retrieve the land surface temperature (LST) by using the MODIS Terra (MOD11A2) Satellite imagery product. As land use change alters the thermal environment, the land surface temperature (LST) could be a proper change indicator to show the thermal changes in relation with land use changes. The Geographical information system was further applied to extract the mean yearly land surface temperature (LST) for each land use type and each province in the 2003, 2006 and 2008 years, by using the zonal statistic techniques. The results show that, the inland water and offshore area has the highest night land surface temperature (LST). Furthermore, the Zued (South)-Holland province has the highest night LST value in the 2003, 2006 and 2008 years. The result of this research will be helpful tool for urban planners and environmental scientists by providing the critical information about the land surface temperature.

scholarly journals Land use and Land cover Mapping Based on Normalized Difference Vegetation Index using Remote Sensing and Geographical Information System in Banjar River Watershed of Narmada Basin

2017 ◽  
Vol 12 (3) ◽  
pp. 678-684
Author(s):  
Jagriti Tiwari ◽  
S.K. Sharma ◽  
R.J. Patil
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Cover ◽  
Geographical Information System ◽  
Water Body ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Geographical Information ◽  
River Watershed

The spatial analysis of land use and land cover (LULC) dynamics is necessary for sustainable utilization and management of the land resources of an area. Remote sensing along with Geographical Information System emerged as an effective technique for mapping the LU/LC categories of an area in an efficient and cost-effective manner. The present study was conducted in Banjar river watershed located in Balaghat and Mandla district of Madhya Pradesh, India. The Normalized Difference Vegetation Index (NDVI) approach was adopted for LU/LC classification of study area. The Landsat-8 satellite data of year 2013 was selected for the classification purpose. The NDVI values were generated in ERDAS Imagine 2011 software and LU/LC map was prepared in ARC GIS environment. On the basis of NDVI values five LU/LC classes were recognized in the study area namely river & water body, waste land & habitation, forest, agriculture/other vegetation, open land/fallow land/barren land. The forest cover was found to be highly distributed in the study area with an extent of 115811 ha and least area was found to be covered under river and water body (4057.28 ha). This research work will be helpful for the policy makers for proper formulation and implementation of watershed developmental plans.

scholarly journals DETERMINAÇÃO DA CAPACIDADE DE USO DAS TERRAS DO MUNICÍPIO DE SÃO MANUEL - SP

Irriga ◽  
2003 ◽  
Vol 8 (2) ◽  
pp. 142-149
Author(s):  
Osmar Delmanto Júnior ◽  
Sergio Campos ◽  
Lincoln Gehring Cardoso ◽  
Zacarias Xavier de Barros
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographical Information System ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Digital Storage ◽  
Territorial Organization ◽  
E Mail ◽  
Excellent Tool

DETERMINAÇÃO DA CAPACIDADE DE USO DAS TERRAS DO MUNICÍPIO DE SÃO MANUEL - SP   Osmar Delmanto JuniorSérgio CamposLincoln Gehring CardosoZacarias Xavier  de BarrosDepartamento de Engenharia Rural, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, Botucatu, SP. CP 237, CEP 18603-970. E-mail: [email protected]  1 RESUMO  Esse trabalho objetivou a elaboração da carta de capacidade de uso das terras do Município de São Manuel - SP, visando o planejamento adequado da ocupação do solo, utilizado-se de Sistema de Informação Geográfica (SIG).  A bacia situa-se entre as coordenadas geográficas  22º 28’ 20” e 22º 53’ 10” de latitudes S e os meridianos 48º 21’ 52” e 48º 48’ 00” de longitudes W Gr., apresentando uma área de 60.988ha.   O mapa de capacidade de uso da terra do município foi elaborado a partir dos mapas de classes de declive e de solo, tomando-se por base as características de cada um e utilizando-se da tabela de julgamento de classes de capacidade de uso.  As áreas da classe e subclasses de capacidade de uso das terras determinadas pelo SIG –IDRISI foram:  IIe,s (22,64%); IIIe (8,62%); IIIe,s (15,83%); IIIs (29,97%); IVe (10,82%); VIe (3,95%) e VIIe (0,96%).  Os resultados permitiram inferir que as subclasses mais significativas foram a IIIs e IIe,s.  As classes de declive de 0 a 20% ocorrem em mais de ¾ do Município, sendo as áreas planas, as mais representativas, pois ocorrem em quase 1/3 da área total.  O SIG mostrou-se uma excelente ferramenta para determinação da capacidade de uso da terra, demonstrando que a utilização do geoprocessamento facilita e agiliza o cruzamento dos dados digitais, permitindo seu armazenamento, que poderão ser utilizados para outras análises em futuros planejamentos geoambientais.  UNITERMOS: Sistema de Informações Geográficas, unidades de solo, classes  de declive, capacidade de uso da terra   DELMANTO JUNIOR, O.; CAMPOS S.; CARDOSO, L.G.; BARROS, Z.X. LAND USE CAPABILITY DETERMINATION OF SÃO MANUEL MUNICIPALITY-SP   2 ABSTRACT  The present work purposed a land use capability chart development from São Manuel Municipality-SP using a Geographical Information System - Idrisi aiming to contribute for a better territorial organization and soil occupation planning. The basin is located in the 22º 28’ 20” geographical co-ordinates at 22º 53’ 10” S latitude, 48º 21’ 52” and 48º 48’ 00” meridian of W Gr. longitude, presenting an area of 9180,12ha.  The chart of the basin land use capability was elaborated from the soil and sloping class charts based on each one characteristics and using the class table of use capability. The class and subclass areas determined through the Geographical Information System IDRISI presented the following values: IIe,s (22,64%), IIIe (8,62%), IIIe,s (15,83%), IIIs (29,97%), IVe (10,82%), VIe (3,95%) and VIIe (0,96%).  The results allowed to infer that the most significant sub classes were IIIs and IIe,s. The 0 to 20% sloping classes have occurred in more than ¾ of the district. Plane areas were the most significant since they occur in nearly 1/3 of the whole area. The Geographical Information System IDRISI has been an excellent tool to determine land use capability, specially related with geo-processing use. The later also facilitates the input, analysis and display of spatial environmental information as well as data digital storage which could be used for other analyses in further geo-environmental design.  KEYWORDS: Geoprocessing, land-use capability, Geographical Information Systems.

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