Investigation and forecasting of land use changes in Shahrekord city Using LCM and GIS

Subject Areas : Journal of Radar and Optical Remote Sensing and GIS

Jafar Rahimi ¹ , Seyed Ali Almodaresi ²

1 - Remote Sensing and Geography Information System, Yazd Branch, Islamic Azad University, Yazd, Iran
2 - Professor, Geomorphology, Yazd Branch, Islamic Azad University, Yazd, Iran

Received: 2020-09-26 Accepted : 2020-12-18 Published : 2020-12-30

Keywords: Classification, land use, NDVI, LCM, satellite imagery,

Abstract :

The study was conducted to investigate land use changes in Shahrekord city in the period of 1990, 2000 and 2020. In order to analyze the changes in the region, the images of Landsat 5 SensorTM satellite for 1990 and 2000 and Landsat 8 Sensor OLI, 2020 were used. The model used in this study, modeler of LCM land changes, in this study, first in the vegetation index area were classified into several classes without cover, low cover, medium cover, high cover and very high cover, also according to the location and topography of the area for Classifications of urban uses, agriculture, water area, wasteland and roads were considered. Comparison of the 2020 forecast map with the 2020 land use classification map showed that the forecasts were acceptable for urban use. Also in the discussion of roads was high accuracy. In the discussion of vegetation and agriculture, there was no forecast of water reduction (reduction of reserves) and it was found that in the forecast map, vegetation, especially in the east, has increased much. The 2030 forecast indicates further development of urban land use and vegetation and agriculture

References:

Akbarian, M., Dortaj, D., & Abedifard, D. (2013). Assessing the trend of land use change using RS and
GIS data (Case study: Ardabil urban area). Geography and Environmental Sustainability, 3(2), 19-27.
Abdu, H. A. (2019). Classification accuracy and trend assessments of land cover-land use changes
from principal components of land satellite images. International Journal of Remote Sensing, 40(4), 1275-1300.
Bayati Ashkaftaki, J., Keshavarz, S. R., & Al-Modarresi, S. A. (2018). Investigation and prediction of land use changes using LCM and GIS (Case study: Alvand city - Qazvin province). The third national conference on the use of advanced analysis models Spatial (Remote Sensing and (GIS) in Land Management, Yazd.
Fatemi, S. B., & Rezaei, Y. (2017). Fundamentals of Remote Sensing. Azadeh Publications.
Fahad, S., Li, W., Lashari, A. H., Islam, A., Khattak, L. H., & Rasool, U. (2021). Evaluation of land
use and land cover Spatio-temporal change during rapid Urban sprawl from Lahore, Pakistan. Urban Climate, 39, 100931.
Goran, N. (2019). Investigation and Prediction of Land Use Changes Using LCM Model Case Study: Cradle Area of Kermanshah Province (Faculty of Resources and Environment, Malayer University, Malayer, Iran).
Heidari, M., & Saleh, J. (2021). Modeling the growth and development of Isfahan using remote sensing  data in the LCM model. Journal of Geomatics Science and Technology, 10(4), 179-190.
Keshavarz, S. R., Bayati Ashkaftaki, J., & Jamali, A. A. (2018). Investigation and Prediction of Land Use Changes Using LCM and Geographic Information System (Case Study: Zarjeh Bostan Region-Qazvin Province). Third National Conference on Application of Models Advanced SpatialAnalysis (Remote Sensing and GIS) in Land Management, Yazd.
Keshavarz, S. R. (2018). Comparison of optics and radar images to obtain vegetation in the Zagros forests, (study area: Yasuj). Master Thesis, Islamic Azad University, Yazd Branch, Yazd, Iran.
Karimi Dehkari, Gh. A., Manshizadeh, R., & Rahmani, B. (2019). Analysis of the consequences of urban creep in suburban settlements) Case study: Settlements around Shahrekord. Journal of Applied Research in Geographical Sciences, 20(56), 349-364.
Khonamani, A., Fathizad, H., & Hakimzadeh, M. A. (2019). Evaluating the trend of land use change and land cover using remote sensing technique and object-oriented classification algorithm (Case study: Bartash Plain, Dehloran, Ilam Province). Iranian Range and Desert Research, 25(4), 723-734.
Leta, M. K., Demissie, T. A., & Tränckner, J. (2021). Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia. Sustainability, 13(7), 3740.
Mousavi, S. H., Ranjbar, A., & Hasili, M. (2016). Monitoring and tracking land use changes in Abarkooh basin using satellite images (1976-1976).
Omidvar, K., Narangi Fard, M., & Abbasi, H. (2015). Detection of land use and vegetation changes in Yasuj city using remote sensing. Regional Geography and Urban Planning, 5(16).
Oliveira, A. (2022). Projection of land use to 2030 and its impacts on water availability in a brazilian sub-basin: A LCM and SWAT approach. Geofísica Internacional, 61(1), 66-87.
Rezaei, R., Qudussi, J., Hassani, A. H., Arjmandi, R., & Vafainejad, A. (2021). Classification and evaluation of land use changes using Landsat satellite images (Case study: Qazvin plain aquifer). Geographical Space, 20(72), 185-204.
Salamatnia, A., Jozi, S. A., Malmasi, S., Nazakati, R., & Zaeimdar, M. (2020). Investigating the power and evaluation of spatial-temporal changes in Yasuj city in the direction of urban development. Journal of Environmental Science and Technology, 22(9), 153-165.
Sokhango, F. (2017). Predicting land use change using land change modeling (LCM) in Dena city, Kohgiluyeh and Boyer-Ahmad province. Master thesis, Faculty of Natural Resources and Environment, Malayer University, Malayer, Iran.
Raihan, F., Ondrasek, G., Islam, M. S., Maina, J. M., & Beaumont, L. J. (2021). Combined Impacts of Climate and Land Use Changes on Long-Term Streamflow in the Upper Halda Basin, Bangladesh. Sustainability, 13(21), 12067.
Valizadeh Kamran, Kh., Sadeghi, M., & Hejazi, S. A. (2021). Modeling of forest land use changes  using LCM in Fandooqloo forest area. Journal of Civil and Environmental Engineering, University of Tabriz.