scholarly journals Land use classification and land use change analysis using satellite images in Lombok Island, Indonesia

2016 ◽  
Vol 12 (4) ◽  
pp. 183-191 ◽  
Author(s):  
Cheolmin Kim
Pedosphere ◽  
2009 ◽  
Vol 19 (1) ◽  
pp. 96-103 ◽  
Author(s):  
Jin-Song DENG ◽  
Ke WANG ◽  
Jun LI ◽  
Yan-Hua DENG

2009 ◽  
Vol 30 (6) ◽  
pp. 845-849
Author(s):  
E.O. Santos ◽  
C. Silva ◽  
M.A. Santos ◽  
B. Matvienko ◽  
C.H.E.D.A. Rocha ◽  
...  

2019 ◽  
Vol 12 ◽  
pp. 41-56
Author(s):  
Chhabi Lal Chidi ◽  
Wolfgang Sulzer ◽  
Pushkar Kumar Pradhan

 Depopulation and increasing greenery due to agriculture land abandonment is general scenario in many highlands of Nepal in recent decades. High resolution remote sensing image is used in land use change analysis. Recently, object based image analysis technique has helped to improve the land use classification accuracies using object based image analysis. Thus, this study was carried out with high resolution image data sources and innovative technique of land use classification in the northeast part of Andhikhola watershed, in the Middle Hill of Nepal. Increasing greenery due to agriculture land abandonment in the hill slope is the major land use change. Secondly, increasing built-up area in lowland along the highway is another. Decreasing hill farmers is the major drivers of converting cultivated land into vegetated area and increasing built-up area is due to urbanization and shift of rural people from hill slope to lowland and accessible area. Converting cultivated land into forest, shrubs and grassland is at marginal land and remote areas which is mostly controlled by altitude, slope gradient and slope aspect. Additionally, land suitability and accessibility are also other important controlling factors.


Urban Science ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 108 ◽  
Author(s):  
Nimi Dan-Jumbo ◽  
Marc Metzger ◽  
Andrew Clark

Cities in developing countries are urbanising at a rapid rate, resulting in substantial pressures on environmental systems. Among the main factors that lead to flooding, controlling land-use change offers the greatest scope for the management of risk. However, traditional analysis of a “from–to” change matrix is not adequate to provide information of all the land-use changes that occur in a watershed. In this study, an in-depth analysis of land-use change enabled us to quantify the bulk of the changes accumulating from swap changes in a tropical watershed. This study assessed the historical and future land-use/land-cover (LULC) dynamics in the River State region of the Niger Delta. Land-use classification and change detection analysis was conducted using multi-source (Landsat TM, ETM, polygon map, and hard copy) data of the study area for 1986, 1995, and 2003, and projected conditions in 2060. The key findings indicate that historical urbanisation was rapid; urban expansion could increase by 80% in 2060 due to planned urban development; and 95% of the conversions to urban land occurred chiefly at the expense of agricultural land. Urban land was dominated by net changes rather than swap changes, which in the future could amplify flood risk and have other severe implications for the watershed.


2018 ◽  
Vol 8 (5) ◽  
Author(s):  
Chaitanya B. Pande ◽  
Kanak N. Moharir ◽  
S. F. R. Khadri ◽  
Sanjay Patil

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