Detection and Monitoring of Temporal Changes and Distribution of Cultivable Lands in Shahr-e-Kord Plain; Using Landsat and Sentinel-2 Data

Document Type : Research Paper

Authors

1 Department of Geography and Rural Planning, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran.

2 Dept. of Geography and Rural Planning, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran

3 Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran

Abstract

The use of accurate and up
to date information is crucial for sustainable resource
management in agriculture. Satellite imagery provides the opportunity for the
comprehensive monitoring of resources, and enables precise planning not only
for rural developm ent and agricultural sectors but also for national development
programs and the implementation of food and water security policies in the
country. It also helps prevent land use changes and their degradation. In this
research, an attempt has been made to c alculate the cultivable land area in Shahr
e Kord Plain located in Chaharmahal va Bakhtiari Province. The imagery data of
Landsats 7 8 and Sentinel 2 satellites were obtained in the form of NDVI index
during the period from 2013 to 2022 , which processed an d validly classified using
unsupervised algorithms in GIS environment. All existing features was
differentiated based on digital number values and green area surfaces identified
for different time periods. The sound and secure areas of cultivation were
con sidered based on the frequencies of plantation during the 2013 2022 . Average
of the agricultural lands approximated 9,392 ha. Due to recurrent water shortages
in recent years, only about 2,603 ha of agricultural lands in the study region have
been under pe rmanent cultivation over the 8 year study period and the rest have
been abandoned over time or left for fallow and livestock grazing. Accordingly,
as a basis for the integrated land water crop system planning and recommending
policy for conservation of per manently cultivable land resources in the
agricultural system of the region, the map of their spatiotemporal distribution was
prepared and presented with a pixel specific precision, by different years of
cultivation.

Keywords

References

References
Akbari, M. M., M. H. Farpour, 2022. Time monitoring of agricultural and residential land use changes using remote sensing technique (case study of Lalezar region of Kerman), 2nd National Conference on Environmental Changes Using Remote Sensing and GIS Technology, Sari University of Agricultural Sciences and Natural Resources, Iran.
Congalton, R. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing Environmental, 37; 35–46.
Devkota, P., S. Dhakal, S. Shrestha, U. B. Shrestha, 2023. Land use land cover changes in the major cities of Nepal from 1990 to 2020. Environmental and Sustainability Indicators 17, 100227.
Dewan, A. M., Y. Yamaguchi, 2008. Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization. Applied Geography, 29 (3); 390-401.
Dziob, D., M. Krupinski, E. Wozniak, R. Gabryszewski, 2020. Interdisciplinary teaching using satellite images as a way to introduce Remote Sensing in secondary school. Remote Sensing, 12(18); 1-14.
Eskandari Damneh, H., H. Khosravi, M. Cheraghi, M. Adeli Sardooei, 2022. Assessment of land degradation using Landsat satellite data in the period 2011-2021 in Isfahan city. Journal of RS and GIS for Natural Resources, 14 (1); 86-100.
FAO, 2023. Enabling farmer-led ecosystem restoration Farmer field schools on forestry and agroforestry, Available from: https://www.fao.org/3/cc6315en/cc6315en.pdf
Friedl, M. A., 2018. Remote Sensing of croplands. Reference Module in Earth systems and Environmental Sciences, 6; 78-95.
Foley, J. A., R. D. Fries, G. P. Asner, C. Barford, G. Bonan, S. R. Carpenter, F. S. Chapin, 2011. Solutions for a cultivated planet. Nature, 478; 337–342.
Islamic Republic of Iran Meteorological Organization, Chaharmahal va Bakhtiari Province, 2021. Available from http://www.chbmet.ir/statistics.asp.
Javaheri, S., A. A. Tarahi, 2021. Detection of land use changes using satellite imagery during the period 1984-2019 in Kamyaran city. Application of GIS and RS in Planning, 12(1); 56-41.
Manteghi, M., Y. Rahmatabadi, 2021. Commercialization of RS in Agriculture. Iranian Journal of RS & GIS, 13; 67-88.
Massey, R., T. T. Sankey, K. Yadav, R. G. Congalton, J. C. Tilton, 2018. Integrating cloud-based workflows in continental-scale cropland extent classification. RS & Environment 219: 162–179.
Mehrabi, Z., R. Delzeit, A. Ignaciuk, Ch. Levers, G. Braich, K. Bajaj, A. Amo-Aidoo, W. Anderson, R. A. Balgah, T. G. Benton, M. M. Chari, E. C. Ellis, N. Z. Gahi, F. Gaupp, et al., 2022. Research priorities for global food security under extreme events. One Earth, 5; 756-766.
Mosleh Ghahfarokhi1, Z., M. Bagheri Bodaghabadi, 2023. Detection of vegetation changes in agricultural lands of Sistan plain using RS. Desert, 28(1); 49-63.
Mousavi, S.A., H. Samadi Borojni, S.A. Mousavi, M.R. Nouri Amazadai, 2013. Agricultural water supply challenges in Chaharmahal and Bakhtiari province. The 1th National Conference on the Challenges of Water Resources and Agriculture, Iran, Isfahan, pp. 1-8.
Oliphant, A., P. S. Thenkabail, P. Teluguntla, J. Xiong, M. K. Gumma, R. Congalton, K. Yadav, 2019. Mapping cropland extent of Southeast and Northeast Asia using multiyear time-series Landsat 30-m data using random forest classifier on Google Earth Engine. International Journal of Applied Earth pplied Earth Observation and GeoiObservation and Geoinformationnformation,, 8181;; 110110--124124.. Pajoohesh, M., M. Mohammad Pajoohesh, M., M. Mohammad YYousefi, A. ousefi, A. HHonarbakhsh, Honarbakhsh, H.. R. Ryahi Bakhtyari, R. Ryahi Bakhtyari, 20202020. Assess. Assessing the ing the ttrends of rends of sspatial patial lland and uuse se cchanges using Ghanges using GISIS and Landsat and Landsat iimages mages duduring the ring the 19911991--20162016 pperiod. eriod. Journal of Water and Soil ScienceJournal of Water and Soil Science,, 2424((11));; 197197--211211..
World Resources Institute,
World Resources Institute, 20192019. Creating a Sustainable Food Future. Available from: . Creating a Sustainable Food Future. Available from: https://research.wri.org/sites/default/files/https://research.wri.org/sites/default/files/20192019--0707/WRR_Food_Ful/WRR_Food_Full_Report_l_Report_00.pdf.pdf
Xiong, J., P.
Xiong, J., P. S. Thenkabail, J.S. Thenkabail, J. C. Tilton, M.C. Tilton, M. K. Gumma, P. Teluguntla, A.K. Gumma, P. Teluguntla, A. J. Oliphant, R.J. Oliphant, R. G. Congalton, G. Congalton, K. Yadav, N. Gorelick, K. Yadav, N. Gorelick, 20172017. Nominal . Nominal 3030--m m ccropland ropland eextent xtent mmap of Continental Africa by ap of Continental Africa by iintegrating ntegrating ppixelixel--bbased and ased and oobjectbject--bbased ased aalgorithms lgorithms uusing Sentinelsing Sentinel--22 and Landsatand Landsat--88 ddata on Google ata on Google Earth Engine. Remote SensingEarth Engine. Remote Sensing,, 99((1010));; 10651065--10821082..
Desert
Volume 28, Issue 2
December 2023
Pages 317-328

Files

Share

How to cite

Statistics