نوع مقاله : مقاله پژوهشی
نویسندگان
1 مربی پژوهشکده حفاظت خاک و آبخیزداری، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران
2 دانشیار پژوهشکده حفاظت خاک و آبخیزداری، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران
3 استادیار پژوهشکده حفاظت خاک و آبخیزداری، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران
چکیده
پوشش سطح زمین و تغییرات آن از مهمترین عوامل تاثیرگذار بر تغییرات زیستمحیطی به حساب میآید. از اینرو، درک و پیشبینی علل، فرایندها و نتایج تغییرات پوشش زمین به یک چالش عمده بر روی سطح کره زمین تبدیل شده است. امروزه سنجش از دور و دادههای ماهوارهای بهطور مؤثر برای شناسایی و تعیین مقدار تغییرات پوشش زمین و اثرات آن بر محیط زیست استفاده میشوند. در این تحقیق، با استفاده از محصول اطلاعاتی MCD12Q1 تغییرات زمانی-مکانی پوشش سطح زمین در سطح کشور با دقت مکانی 500 متر در بازههای زمانی پنج ساله از سال 2001 تا 2015 میلادی مورد مطالعه و ارزیابی قرار گرفت. این بررسی نشان داد، در دوره زمانی مورد مطالعه، اراضی بدون پوشش و خاک لخت بالغ بر 60 درصد از سطح کشور را در بر دارند. سطح اراضی جنگلی، زراعی و پوشش علفی بهترتیب از 0.8، 4.8 و 421.4 درصد در سال 2001 به 0.6، 4.5 و 20.9 درصد در سال 2015 تقلیل یافته است. همچنین، ماتریس ارزیابی تغییرات نشان داد که در بازههای زمانی 2005-2001، 2010-2005 و 2015-2010 پوشش سطح زمین با روندی صعودی بهترتیب در 2.13، 3.25 و 3.30 درصد از سطح کل کشور تغییر یافته است و در مجموع از سال 2001 تا 2015 میلادی مجموع اراضی تغییر یافته معادل 6.08 درصد از سطح کشور برآورد شده است.
کلیدواژهها
عنوان مقاله [English]
Assessment of land cover changes of Iran in the period of 2001 to 2015 using MODIS land products (MCD12Q1)
نویسندگان [English]
- Afshin Partovi 1
- Hamidreza Peyrowan 2
- Samad Shadfar 2
- Fazel Iranmanesh 3
1 SCWMRI
2 Associate Professor, Soil conservation and watershed management research institute, Agricultural Research and Education Organization, Tehran, Iran
3 Assistant professor, Soil conservation and watershed management research institute, Agricultural Research and Education Organization, Tehran, Iran
چکیده [English]
Land cover change is one of the most effective factors of environmental change. So, understanding and predicting the causes, processes and consequences of land cover has become a major challenge. The remote sensing and satellite data technologies can be used effectively to detect and quantify land cover changes and its effects on the environment. This research used the MODIS MCD12Q1 yearly data at 500 m resolution to evaluate the spatio-temporal changes in the national land cover of Iran from 2001 to 2015 in five years periods. Land cover maps of Iran were generated based on 12 classes for years of 2001, 2005, 2010 and 2015 and then evaluated using “Landcover Change Matrix”. Areal distribution analysis showed that the most parts of Iran covered by barren areas (more than 60%). The area of forests, croplands and grasslands were reduced from 0.8, 4.8 and 21.4 percent respectively in the year of 2001 to 0.6, 4.5 and 20.9 percent of Iran’s area in 2015. Furthermore, to evaluate land cover changes in five years’ period, the land cover map of the first and last years of each period were compared using “Landcover Change Matrix”. Results showed that in the five years periods of 2001-2005, 2005-2010 and 2010-2015 land cover of Iran changed increasingly as 2.13, 3.25 and 3.30 percent respectively of Iran’s area. And the overall changes of land cover in Iran from 2001 to 2015 is 6.08 percent of Iran’s area.
کلیدواژهها [English]
- Classification
- IGBP
- Land cover changes
- MCD12Q1
- MODIS Land products
- Amiraslani, F. and D. Dragovich. 2011. Combating desertification in Iran over the last 50 years: an overview of changing approaches. Journal of Environmental Management, 92: 1-13.
- Arekhi, S., P. Geraei and M. Arekhi. 2008. Trend monitoring of the land use changes in protected area of Kabir Kouh using RS and GIS, case study: Ilam Province. The First National Conference on Planning and Environmental Protection, Islamic Azad University of Hamadan, February 21, 2013, Hamadan, Iran (in Persian).
- Badabate, D. 2017. Land cover changes in Tunisia using Moderate Resolution Imaging pectroradiometer (MODIS) MCD12Q1 yearly products. Technical Report, Available online at: https://hdl.handle.net/10568/99765.
- Bartholomé, A.S. and E. Belward. 2007. GLC2000: a new approach to global land cover mapping from earth observation data. International Journal of Remote Sensensing, 26: 1959-1977.
- Bicheron, P., P. Defourny, C. Brockmann, L.V. Schouten, C. Huc, M. Bontemps, S. Leroy, M. Achard, F. Herold, M. Ranera and F. Arino. 2008. Globcover products description and validation report. Medias-France, Toulouse, France, 47 pages.
- Chen, J., J. Chen, A. Liao, X. Cao, L. Chen, X. Chen, C. He, G. Han, S. Peng and M. Lu. 2015. Global land cover mapping at 30m resolution: a POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 103: 7-27.
- Dong, J., X. Xiao, S. Sheldon, C. Biradar, N.D. Duong and M. Hazarika. 2012. A comparison of forest cover maps in Mainland Southeast Asia from multiple sources: PALSAR, MERIS, MODIS and FRA. Remote Sensing of Environment Journal, 127: 60-73.
- Dong, L. and Z.H. Wenting. 2014. A comparison of comparison of Markov model-based methods for predicting the ecosystem service value of land use in Wuhan, central China. https://doi.org/10.1016/j.ecoser.2013.11.001.
- Ellis, C.E. 2011. Anthropogenic transformation of the terrestrial biosphere. Philosophical Transactions of Royal Socciety Journal, 369: 1010-1035.
- Feizizadeh, B., F. Jafari and H. Nazmfar. 2009. Application of remote sensing data in change detection of urban land uses, case study: green space of Tabriz City. Iranian Journal of Fine Arts, 34: 17-24 (in Persian).
- Fichera, C.R., G. Modica and M. Pollino. 2012. Land cover classification and change detection analysis using multi-temporal remote sensed imagery and landscape metrics. European Journal of Remote Sensing, 45: 1-18.
- Foley, J.A., R. DeFries, G.P. Asner, C. Barford, G. Bonan, S.R. Carpenter and S.F. Chapin. 2005. Global consequences of land use. Science, 309: 570-573.
- French, A.N., T.J. Schmugge, J.C. Ritchie, A. Hsu, F. Jacob and K. Ogawa. 2008. Detecting land cover change at the Jornada Experimental Range, New Mexico with ASTER emissivities. Journal of Remote Sensing of Environment, 112(4): 1730-1748.
- Friedl, M.A., D. Sulla-Menashe, B. Tan, A. Schneider, N. Ramankutty, A. Sibley and X. Huang. 2010. MODIS collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sensing of Environment Journal, 114: 168-182.
- Jianwen, M. and H. Bagan. 2005. Land-use classification using ASTER data and self-organized neutral networks. International Journal of Applied Earth Observation and Geoinformation, 7(3): 183-188.
- Kaptué Tchuenté, A.T., J. Roujean and S.M. De Jong. 2011. Comparison and relative quality assessment of the GLC2000, GLOBCOVER, MODIS and ECOCLIMAP land cover data sets at the African continental scale. International Journal of Applied Earth Observation and Geoinformation, 13: 207-219.
- Levin, N. and A. Heimowitz. 2012. Mapping spatial and temporal patterns of Mediterranean wildfires from MODIS. Remote Sensing of Environment, 126: 12-26.
- Liang, D., Y. Zuo, L. Huang, J. Zhao, L. Teng and F. Yang. 2015. Evaluation of the consistency of MODIS land cover product (MCD12Q1) based on chinese 30 m GlobeLand30 datasets: a case study in Anhui Province, China. ISPRS International Journal of Geo-Information, 4: 2519-2541.
- Lubis, J.P. and N. Nakagoshi. 2011. Land use and land cover change detection using remote sensing and geographic information system in Bodri Watershed, Central Java, Indonesia. Journal of International Development and Cooperation, 18(1): 139-151.
- Matkan, A.A., K. Saidi, A. Shakiba and A. Hosseiniasl. 2011. Assessment of land cover changes associated with Taleghan Dam using remote sensing techniques. Iranian Journal of Geographical Sciences and Applied Researches, 16(19): 45-64 (in Persian).
- Park, J.Y. and M.S. Suh. 2014. Characteristics of MODIS land-cover data sets over Northeast Asia for the recent 12 years (2001-2012). Korean Journal of Remote Sensing, 30: 514-524.
- Shalaby, A. and R. Tateishi. 2007. Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Applied Geography Journal, 27(1): 28-41.
- Upadhyay, T., P.L. Sankhayan and B. Solberg. 2006. Use of odelsmodels to analyseanalyses land-use changes, forest/soil degradation and carbon sequestration with special reference to Himalayan region: a review and analysis. Journal of Forest Policy and Economics, 4: 349-371.
- Wessels, K. 2004. Mapping regional land cover with MODIS data for biological conservation: Examples from the Greater Yellowstone Ecosystem. Remote Sensing of Environment Journal, 92: 67-83.
- Zhang, W.W., L. Yao, H. Li, D.F. Sun and L.D. Zhou. 2011. Research on land use change in Beijing Hanshiqiao Wetland nature reserve using remote sensing and GIS. Prpceeding of International Conference on Environmental Science and Information Application Technology, 10(Part A): 583-588.
- Zhao, X., P. Xu, T. Zhou, Q. Li and D. Wu. 2013. Distribution and variation of forests in China from 2001 to 2011: a study based on remotely sensed data. Forests Journal, 4: 632-649.