Multi-temporal monitoring of cotton growth through the vegetation profile classification for Tashkent province, Uzbekistan

Cochran G (1977) Sampling techniques, 3rd edition, 1977, 448Search in Google Scholar

Colditz RR, Schmidt M, Conrad C, Dech S (2011) Land cover classification with coarse spatial resolution data to derive continuous and discrete maps for complex regions. Remote Sensing of Environment 115, 3264–3275.10.1016/j.rse.2011.07.010Search in Google Scholar

Congalton R (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37: 35–46.10.1016/0034-4257(91)90048-BSearch in Google Scholar

Conrad C, Colditz R, Dech S, Klein D, Vlek P (2011) Improved irrigated crop classification in Central Asia using temporal segmentation and MODIS time series. International Journal of Remote Sensing 32 (23): 8763–8778.10.1080/01431161.2010.550647Search in Google Scholar

Culbert PD, Pidgeon AM, St−Louis V, Bash D, Radeloff VC (2009) The impact of phonological variation on texture measures of remotely sensed imagery. IEEE J. Sel. Topics Appl. Earth Obs. Remote Sensing 2: 299–309.10.1109/JSTARS.2009.2021959Search in Google Scholar

De Carvalho OA, Júnior, Meneses PR (2000) Spectral Correlation Mapper (SCM): An Improvement on the Spectral Angle Mapper (SAM).Search in Google Scholar

Dewit AJW, Clevers JGPW (2004) Efficiency and accuracy of perfield classification for operational crop mapping. International Journal of Remote Sensing 25(20): 4091–4112.10.1080/01431160310001619580Search in Google Scholar

Djanibekov N, Rudenko I, Lamers J, Bobojonov I (2010) Pros and cons of cotton production in Uzbekistan, Case study 7-9 of the program: “Food policy for developing countries: the role of government in the global food system”. Cornell University, Ithaca (NY).Search in Google Scholar

Edlinger J, Conrad C, Lamers J, Khasankhanova G, Koellner T (2012) Reconstructing the spatio-temporal development of irrigation Systems in Uzbekistan using Landsat time Series. Remote Sensing 4: 3972–3994.10.3390/rs4123972Search in Google Scholar

Furster S, Kaden K, Foerster M, Itzerott S (2012) Crop type mapping using spectral-temporal profiles and phenological information. Computers and Electronics in Agriculture 89: 30–40.10.1016/j.compag.2012.07.015Search in Google Scholar

GEOSS (2009) Best practices for crop area estimation with Remote Sensing. In: Gallego J, Craig M, Michaelsen J, Bossyns B, Fritz S (eds) Joint Research Centre Scientific and Technical Reports (Ispra, June 5–6, 2008), European Communities, Luxembourg.Search in Google Scholar

Glazirin GE, Chanishev SG, Chub VE (1999) Краткая характеристика климата Узбекистана (Brief outlines of climate in Uzbekistan).Search in Google Scholar

Hamidov A, Helming K, Balla D (2016) Impact of agricultural land use in Central Asia: a review. Agronomy for Sustainable Development 36: 6.10.1007/s13593-015-0337-7Search in Google Scholar

Heikkonen J, Varfis A (1998) Land cover/land use classificalton of urban areas: A remote sensing approach. International Journal of Pattern Recognition and Artificial Intelligence 12: 475–489.10.1142/S0218001498000300Search in Google Scholar

Jensen JR (2005) Introductory digital image processing. A remote sensing perspective. Upper Saddle River, New Jersey.Search in Google Scholar

Kahriz MP, Kahriz PP, Khawar KM (2019) Cotton Production in Central Asia. In: Jabran K, Singh Chauhan B (eds) Cotton Production. Wiley, New York, pp. 323–339.10.1002/9781119385523.ch15Search in Google Scholar

Lillesand T, Kiefer R, Chipman J (2015) Remote sensing and image interpretation (7th edition). Wiley, New York.Search in Google Scholar

Martinez-Casasnovas JA, Martin-Montero A, Casterad MA (2005) Mapping multi-year cropping patterns in small irrigation districts from time-series analysis of Landsat TM images. European Journal of Agronomy 23(2): 159–169.10.1016/j.eja.2004.11.004Search in Google Scholar

Muttitanon W, Tripathi NK (2005) Land use/land cover changes in the coastal zone of Ban Don Bay, Thailand using Landsat 5 TM data. International Journal of Remote Sensing 26(11): 2311−2323.10.1080/0143116051233132666Search in Google Scholar

Murthy CS, Raju PV, Badrinath KVS (2003) Classification of wheat crop with multi-temporal images: performance of maximum likelihood and artificial neural networks. International Journal of Remote Sensing 24: 4871–4890.10.1080/0143116031000070490Search in Google Scholar

Odenweller JB, Johnson KI (1984) Crop identification using Landsat temporal spectral profiles. Remote Sensing of Environment 14: 39–54.10.1016/0034-4257(84)90006-3Search in Google Scholar

Platonov A, Thenkabail P, Biradar Ch (2008) Water Productivity Mapping (WPM) using Landsat ETM+ data for the irrigated croplands of the Syrdarya River Basin in Central Asia. Sensors 8: 8156–8180.10.3390/s8128156379101227873981Search in Google Scholar

Richards JA, Jia X (2006) Remote sensing digital image analysis – an introduction. Springer, Berlin-Heidelberg.10.1007/3-540-29711-1Search in Google Scholar

Seto KC, Woodcock CE, Song C, Huang X, Lu J, Kaufmann RK (2002) Monitoring land use change in the Pearl River Delta using Landsat TM. International. Journal of Remote Sensing 23(10): 1985–2004.10.1080/01431160110075532Search in Google Scholar

Tian Y, Yin K, Lu D, Hua L, Zhao Q, Wen M (2014) Examining land use and land cover spatiotemporal change and driving forces in Beijing from 1978 to 2010. Remote Sensing 6: 10593-10611.10.3390/rs61110593Search in Google Scholar

Turher M, Arikan M (2005) Sequential masking classification of multi-temporal Landsat7 ETM+ images for field-based crop mapping in Karacabey, Turkey. International Journal of Remote Sensing 26: 3813–3830.10.1080/01431160500166391Search in Google Scholar

USGS (UNITED STATES GEOLOGICAL SURVEY). Thematic Mapper; 2015. Available at: <http://eros.usgs.gov//Find_Data/Products_and_Data_Available/TM>Search in Google Scholar

Waske B, Braun M (2009) Classifier ensembles for land cover mapping using multi-temporal SAR imagery. ISPRS Journal of Photogrammetry and Remote Sensing 64(5): 450–457.10.1016/j.isprsjprs.2009.01.003Search in Google Scholar

Yeshanev E, Wagner W, Exner-Kittridge M, Legesse D Blöschl G (2013) Identifying land use/cover dynamics in the Koga Catchment, Ethiopia, from multi-scale data, and implications for environmental change. ISPRS International Journal of Geo- Information 2: 302–323.10.3390/ijgi2020302Search in Google Scholar