scholarly journals Investigation of land use changes on soil erosion process using geographical information system

2009 ◽  
Vol 6 (3) ◽  
pp. 415-424 ◽  
Author(s):  
K. Solaimani ◽  
S. Modallaldoust ◽  
S. Lotfi
Keyword(s):  
Land Use ◽  
Information System ◽  
Soil Erosion ◽  
Geographical Information System ◽  
Land Use Changes ◽  
Geographical Information ◽  
Erosion Process

scholarly journals Monitoring land use changes and soil degradation using spot and temporal aerial photograph data - the case of Vathy basin (Kalymnos island - Dodecanese Greece)

2018 ◽  
Vol 40 (3) ◽  
pp. 1476
Author(s):  
T. Mimides ◽  
E. Psomiadis ◽  
I. Trikili
Keyword(s):  
Land Use ◽  
Information System ◽  
Soil Erosion ◽  
Satellite Data ◽  
Soil Degradation ◽  
Aerial Photograph ◽  
Land Use Changes ◽  
Geographical Information ◽  
Aerial Photographs ◽  
Environmental Deterioration

The present paper focuses on the usefulness of aerial photographs and satellite data in the multitemporal detection of land use changes, soil degradation and erosion. The study was carried out in the watershed of Vathy in the Kalymnos Island, and the study period spanned from 1960 to 1999. Aerial photographs of two different periods of time and satellite SPOT data were used for this purpose. The synergistic use of a Geographical Information System for the manipulation of the data was the key for the Natural monitoring of the soil erosion and degradation. The results revealed many changes in the cultivations and in the land use of the watershed the last decades. These changes supplemented by village expansion and spatial reduction of natural vegetation led to the acceleration of soil erosion, to the degradation of water supplies and generally to an environmental deterioration of the wider area.

scholarly journals Impacts of land use changes on soil erosion in Pa Deng sub-district, adjacent area of Kaeng Krachan National Park, Thailand

2012 ◽  
Vol 7 (No. 1) ◽  
pp. 10-17 ◽  
Author(s):  
S. Wijitkosum
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover ◽  
National Park ◽  
Land Use Changes ◽  
Influential Factors ◽  
Geographical Information ◽  
Adjacent Area ◽  
Erosion Risk ◽  
Study Results

Soil erosion has been considered as the primary cause of soil degradation since soil erosion leads to the loss of topsoil and soil organic matters which are essential for the growing of plants. Land use, which relates to land cover, is one of the influential factors that affect soil erosion. In this study, impacts of land use changes on soil erosion in Pa Deng sub-district, adjacent area of Kaeng Krachan National Park, Thailand, were investigated by applying remote sensing technique, geographical information system (GIS) and the Universal Soil Loss Equation (USLE). The study results revealed that land use changes in terms of area size and pattern influenced the soil erosion risk in Pa Deng in the 1990–2010 period. The area with smaller land cover obviously showed the high risk of soil erosion than the larger land cover did.

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 Prediction of Soil Erosion in Pansoon Sub-basin, Malaysia using RUSLE Integrated in Geographical Information System

2019 ◽  
Vol 48 (11) ◽  
pp. 2565-2574
Author(s):  
Noor Fadzilah Yusof ◽  
Tukimat Lihan ◽  
Wan Mohd Razi Idris ◽  
Zulfahmi Ali Rahman ◽  
Muzzneena Ahmad Mustapha ◽  
...  
Keyword(s):  
Information System ◽  
Soil Erosion ◽  
Geographical Information System ◽  
Geographical Information

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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