메뉴 건너뛰기




Volumn 5, Issue 13, 2010, Pages 1647-1654

Monte carlo simulation and remote sensing applied to agricultural survey sampling strategy in Taita hills, Kenya

Author keywords

Agricultural survey; Monte carlo simulation; Remote sensing; Taita hills

Indexed keywords


EID: 77955001649     PISSN: None     EISSN: 1991637X     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (23)
  • 1
    • 0035892377 scopus 로고    scopus 로고
    • Cloud cover in Landsat observations of the Brazilian Amazon
    • Asner GP (2001). Cloud cover in Landsat observations of the Brazilian Amazon. Int. J. Remote Sensing, 22(18): 3855-3862.
    • (2001) Int. J. Remote Sensing , vol.22 , Issue.18 , pp. 3855-3862
    • Asner, G.P.1
  • 3
    • 44849101814 scopus 로고    scopus 로고
    • The impact of climatic change on agricultural production: Is it different for Africa?
    • Barrios S, Salvador, Ouattara B, Strobl E (2008). The impact of climatic change on agricultural production: Is it different for Africa? Food Policy, 33: 287 - 298.
    • (2008) Food Policy , vol.33 , pp. 287-298
    • Barrios, S.1    Salvador, O.B.2    Strobl, E.3
  • 4
    • 58149191371 scopus 로고    scopus 로고
    • Geographical model for precise agriculture monitoring with real-time remote sensing
    • Beeria O, Peled A (2009). Geographical model for precise agriculture monitoring with real-time remote sensing. ISPRS J. Photogr. Remote Sensing, 64(1): 47-54.
    • (2009) ISPRS J. Photogr. Remote Sensing , vol.64 , Issue.1 , pp. 47-54
    • Beeria, O.1    Peled, A.2
  • 5
    • 0142003038 scopus 로고    scopus 로고
    • A multi-scale segmentation/object relationship modelling methodology for landscape analysis
    • Burnett C, Blaschke T (2003). A multi-scale segmentation/object relationship modelling methodology for landscape analysis. Ecol. Modelling, 168: 233-249.
    • (2003) Ecol. Modelling , vol.168 , pp. 233-249
    • Burnett, C.1    Blaschke, T.2
  • 6
    • 29344434306 scopus 로고    scopus 로고
    • Using remote sensing for agricultural statistics
    • Carfagna E, Gallego FJ (2005). Using remote sensing for agricultural statistics. Int. Stat. Rev., 73 (3): 389-404.
    • (2005) Int. Stat. Rev , vol.73 , Issue.3 , pp. 389-404
    • Carfagna, E.1    Gallego, F.J.2
  • 8
    • 84879720050 scopus 로고    scopus 로고
    • The development of a land use change detection methodology for mapping the Taita Hills, South-East Kenya
    • 20-24 June 2005. St. Petersburg, Russia. CD-Rom publication
    • Clark BJF, Pellikka PKE (2005) The development of a land use change detection methodology for mapping the Taita Hills, South-East Kenya. Proceedings of the 31st International Symposium of Remote Sensing of the Environment, 20-24 June 2005, St. Petersburg, Russia. CD-Rom publication.
    • (2005) Proceedings of the 31st International Symposium of Remote Sensing of the Environment
    • Clark, B.J.F.1    Pellikka, P.K.E.2
  • 10
    • 0003636591 scopus 로고    scopus 로고
    • Land Cover Classification System (LCCS), version 2: Classification Concepts and User Manual
    • Di Gregorio A (2005). Land Cover Classification System (LCCS), version 2: Classification Concepts and User Manual. FAO Environmental and Natural Resources Series 8 FAO Rome, p. 208.
    • (2005) FAO Environmental and Natural Resources Series 8 FAO Rome , pp. 208
    • Di Gregorio, A.1
  • 11
    • 0347028058 scopus 로고    scopus 로고
    • Crop area estimates using simple sampling scheme on satellite images
    • Epiphanio JCN, Luiz AJB, Formaggio AR (2002). Crop area estimates using simple sampling scheme on satellite images. Bragantia, 61: 187-197.
    • (2002) Bragantia , vol.61 , pp. 187-197
    • Epiphanio, J.C.N.1    Luiz, A.J.B.2    Formaggio, A.R.3
  • 12
  • 13
    • 67650045431 scopus 로고    scopus 로고
    • Remote sensing for irrigation water management in the semi-arid Northeast of Brazil
    • Folhes MT, Rennó CD, Soares JV (2009). Remote sensing for irrigation water management in the semi-arid Northeast of Brazil. Agric. Water Manage., 96 (10): 1398-1408.
    • (2009) Agric. Water Manage , vol.96 , Issue.10 , pp. 1398-1408
    • Folhes, M.T.1    Rennó, C.D.2    Soares, J.V.3
  • 14
    • 3042729893 scopus 로고    scopus 로고
    • Remote sensing and land cover area estimation
    • Gallego FJ (2004). Remote sensing and land cover area estimation. Int. J. Remote Sensing, 25: 3019-3047.
    • (2004) Int. J. Remote Sensing , vol.25 , pp. 3019-3047
    • Gallego, F.J.1
  • 15
    • 0030837230 scopus 로고    scopus 로고
    • Remote sensing and agricultural statistics: Crop area estimation in northeastern Spain through diachronic Landsat TM and ground sample data
    • Gonzáles-Alonso F, Cuevas JM, Arbiol R, Baulies X (1997). Remote sensing and agricultural statistics: crop area estimation in northeastern Spain through diachronic Landsat TM and ground sample data. Int. J. Remote Sensing, 18(2): 467-470.
    • (1997) Int. J. Remote Sensing , vol.18 , Issue.2 , pp. 467-470
    • Gonzáles-Alonso, F.1    Cuevas, J.M.2    Arbiol, R.3    Baulies, X.4
  • 16
    • 62249184455 scopus 로고    scopus 로고
    • Using satellite remote sensing to assess irrigation performance in Water User Associations in the Lower Gediz Basin, Turkey
    • Karatas BS, Akkuzu E, Unal HB, Asik S, Avci M (2009). Using satellite remote sensing to assess irrigation performance in Water User Associations in the Lower Gediz Basin, Turkey. Agric. Water Manage., 96(6): 982-990.
    • (2009) Agric. Water Manage , vol.96 , Issue.6 , pp. 982-990
    • Karatas, B.S.1    Akkuzu, E.2    Unal, H.B.3    Asik, S.4    Avci, M.5
  • 17
    • 33745955275 scopus 로고
    • The Monte Carlo Method
    • Metropolis N, Ulam S (1949). The Monte Carlo Method. J. Am. Stat. Assoc., 44 (247): 335-341.
    • (1949) J. Am. Stat. Assoc , vol.44 , Issue.247 , pp. 335-341
    • Metropolis, N.1    Ulam, S.2
  • 18
    • 57649219764 scopus 로고    scopus 로고
    • Using QuickBird imagery and a production efficiency model to improve crop yield estimation in the semi-arid hilly Loess Plateau, China
    • Pan G, Sun GJ, Li FM (2009). Using QuickBird imagery and a production efficiency model to improve crop yield estimation in the semi-arid hilly Loess Plateau, China. Environmental Modelling and Software 24 (4): 510-516.
    • (2009) Environmental Modelling and Software , vol.24 , Issue.4 , pp. 510-516
    • Pan, G.1    Sun, G.J.2    Li, F.M.3
  • 19
    • 33646227929 scopus 로고    scopus 로고
    • Crop area estimation using GIS, remote sensing and area frame sampling
    • Pradhan S (2001). Crop area estimation using GIS, remote sensing and area frame sampling. Int. J. Appl. Earth Observation and Geoinformation 3 (1): 86-92.
    • (2001) Int. J. Appl. Earth Observation and Geoinformation , vol.3 , Issue.1 , pp. 86-92
    • Pradhan, S.1
  • 20
    • 0037086361 scopus 로고    scopus 로고
    • Soil Fertility and Hunger in Africa
    • Sanchez PA (2002). Soil Fertility and Hunger in Africa. Sci., 295: 2019-2020.
    • (2002) Sci , vol.295 , pp. 2019-2020
    • Sanchez, P.A.1
  • 21
    • 0442298832 scopus 로고    scopus 로고
    • Remote sensing applications for precision agriculture: A learning community approach
    • Seelan SK, Laguette S, Casady GM, Seielstad GA (2003). Remote sensing applications for precision agriculture: A learning community approach. Remote Sensing Environ., 88(1-2): 157-169.
    • (2003) Remote Sensing Environ , vol.88 , Issue.1-2 , pp. 157-169
    • Seelan, S.K.1    Laguette, S.2    Casady, G.M.3    Seielstad, G.A.4
  • 22
    • 77955010283 scopus 로고    scopus 로고
    • Livelihood capital, strategies and outcomes in the Taita hills of Kenya
    • ICRAF Working Paper no. 8. Nairobi, Kenya: World Agrofor. Centre
    • Soini E (2005). Livelihood capital, strategies and outcomes in the Taita hills of Kenya. ICRAF Working Paper no. 8. Nairobi, Kenya: World Agrofor. Centre, p. 48.
    • (2005) , pp. 48
    • Soini, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.