ارزیابی عملکرد نقشه‌های پوشش اراضی جهانی در استخراج محدوده اراضی کشاورزی (مطالعه موردی: حوضه آبریز دریاچه ارومیه)

Alizade Govarchin Ghale, Y., Altunkaynak, A., & Unal, A. (2018). Investigation Anthropogenic Impacts and Climate Factors on Drying up of Urmia Lake using Water Budget and Drought Analysis. In Water Resources Management (Vol. 32, Issue 1, pp. 325–337). https://doi.org/10.1007/s11269-017-1812-5

Alizade Govarchin Ghale, Y., Baykara, M., & Unal, A. (2019). Investigating the interaction between agricultural lands and Urmia Lake ecosystem using remote sensing techniques and hydro-climatic data analysis. Agricultural Water Management, 221, 566–579. https://doi.org/10.1016/j.agwat.2019.05.028

Almeida, C. A. de, Coutinho, A. C., Esquerdo, J. C. dalla M., Adami, M., Venturieri, A., Diniz, C. G., Dessay, N., Durieux, L., & Gomes, A. R. (2016). High spatial resolution land use and land cover mapping of the Brazilian legal Amazon in 2008 using Landsat-5/TM and MODIS data. Acta Amazonica, 46(3), 291–302. https://doi.org/10.1590/1809-4392201505504

Ban, Y., Gong, P., & Giri, C. (2015). Global land cover mapping using Earth observation satellite data: Recent progresses and challenges. ISPRS Journal of Photogrammetry and Remote Sensing, 103, 1–6. https://doi.org/10.1016/j.isprsjprs.2015.01.001

Belward, A. S., & Bartholomé, E. (2007). International Journal of Remote Sensing GLC2000: a new approach to global land cover mapping from Earth observation data GLC2000: a new approach to global land cover mapping from Earth observation data. Taylor & Francis, 26(9), 1959–1977. https://doi.org/10.1080/01431160412331291297

Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., He, C., Han, G., Peng, S., Lu, M., Zhang, W., Tong, X., & Mills, J. (2015). Global land cover mapping at 30 m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 103, 7–27. https://doi.org/10.1016/j.isprsjprs.2014.09.002

Defourny, P., & Kirches, G. (2012). Land cover CCI. Gofcgold.Wur.Nl. http:/www.gofcgold.wur.nl/documents/wageningen13/18-04/Session 8/FSeifert&OArino.pdf

FAO. (2014). Food and Agricultural Organization of the United Nations (FAO). 2014. “The State of the world’s land and water resources for food and agriculture.” Available at http://www.fao.org/docrep/ 017/i1688e/i1688e.pdf.

Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., & Huang, X. (2010). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment, 114(1), 168–182. https://doi.org/10.1016/j.rse.2009.08.016

Giri, C., Zhu, Z., & Reed, B. (2005). A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets. Remote Sensing of Environment, 94(1), 123–132. https://doi.org/10.1016/j.rse.2004.09.005

Gong, P., Wang, J., Yu, L., Zhao, Y., Zhao, Y., Liang, L., Niu, Z., Huang, X., Fu, H., Liu, S., Li, C., Li, X., Fu, W., Liu, C., Xu, Y., Wang, X., Cheng, Q., Hu, L., Yao, W., … Chen, J. (2013). International Journal of Remote Sensing Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data) Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 34(7), 2607–2654. https://doi.org/10.1080/01431161.2012.748992

Hoyos, A. P., García-Haro, J., Pérez-Hoyos, A., García-Haro, F. J., & San-Miguel-Ayanz, J. (2012). A methodology to generate a synergetic land-cover map by fusion of different: Land-cover products A methodology to generate a synergetic land-cover map by fusion of different land-cover products. Article in International Journal of Applied Earth Observation and Geoinformation, 19, 72–87. https://doi.org/10.1016/j.jag.2012.04.011

Hua, T., Zhao, W., Liu, Y., Wang, S., & Yang, S. (2018). Spatial consistency assessments for global land-cover datasets: A comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO. Remote Sensing, 10(11). https://doi.org/10.3390/rs10111846

JICA. (2020). Data collection survey on improvement of the hydrological cycle model in Urmia Lake Basin in the Islamic Republic of Iran.Tehran.

Kang, J., Wang, Z., Sui, L., Yang, X., Ma, Y., & Wang, J. (2020). Consistency analysis of remote sensing land cover products in the tropical rainforest climate region: A case study of Indonesia. Remote Sensing, 12(9), 1410. https://doi.org/10.3390/RS12091410

Liang, L., Liu, Q., Liu, G., Li, H., & Huang, C. (2019). Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region. Remote Sensing, 11(12), 1396. https://doi.org/10.3390/rs11121396

Liang, Zuo, Y., Huang, L., Zhao, J., Teng, L., Yang, F., Stefanakis, E., Liu, Y., Kyriakidis, P., & Kainz, W. (2015). Geo-Information 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 Int. J. Geo-Inf, 4, 2519–2541. https://doi.org/10.3390/ijgi4042519

Liu, X., Yu, L., & Zhong, L. (2018). Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data Special Issue in the journal MDPI Remote Sensing: Remote Sensing of Environmental Changes in Cold Regions View project Oil palm mapping View project. Article in International Journal of Remote Sensing, 39(20), 6631–6645. https://doi.org/10.1080/01431161.2018.1465613

Maghrebi, M., Noori, R., Bhattarai, R., Mundher Yaseen, Z., Tang, Q., Al-Ansari, N., Danandeh Mehr, A., Karbassi, A., Omidvar, J., Farnoush, H., Torabi Haghighi, A., Kløve, B., & Madani, K. (2020). Iran’s Agriculture in the Anthropocene. Earth’s Future, 8(9). https://doi.org/10.1029/2020EF001547

Pérez-Hoyos, A., Rembold, F., Kerdiles, H., & Gallego, J. (2017). Comparison of global land cover datasets for cropland monitoring. Remote Sensing, 9(11). https://doi.org/10.3390/rs9111118

Smets, B., Buchhorn, M., Bertels, L., Lesiv, M., Tsendbazar, N.-E., Linlin, L., & Masiliunas, D. (2019). Product User Manual. Moderate Dynamic Land Cover Change. Collection 100m. Africa. Version 2.1 (Release Candidate 1) (pp. 1–47). https://land.copernicus.eu/global/products/lai

Song, H., & Zhang, X. (2012). Precision analysis and validation of multi-sources landcover products derived from remote sensing in China. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 28(22), 207–214. https://doi.org/10.3969/j.issn.1002-6819.2012.22.029

Song, H., Zhang, X., Wang, Y., & Wang, M. (2012). Comparison of relative uniformity between GLOBCOVER and MODIS land cover data sets. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 28(15), 118–124. https://doi.org/10.3969/j.issn.1002-6819.2012.15.019

Stehman, S. V. (1997). Selecting and interpreting measures of thematic classification accuracy. Remote Sensing of Environment, 62(1), 77–89. https://doi.org/10.1016/S0034-4257(97)00083-7

Thibaut, A., Tchuenté, K., Roujean, J.-L., & De Jong, S. M. (2010). 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. https://doi.org/10.1016/j.jag.2010.11.005

WERI. (2018). Collaborative land cover mapping of the Lake Urmia Basin_Final Report. Water Engineering Research Institute of Tarbiat Modares University.

Zhang, X., Liu, L., Chen, X., Xie, S., & Gao, Y. (2019). Fine land-cover mapping in China using Landsat datacube and an operational SPECLib-based approach. Remote Sensing, 11(9). https://doi.org/10.3390/rs11091056