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Volumn 9535, Issue , 2015, Pages

An insight into space and remote sensing technologies concerning agriculture and landscape analysis

Author keywords

Agriculture; Landscape analysis; Remote Sensing; Satellite imagery; Sentinel missions

Indexed keywords

AGRICULTURE; SATELLITE IMAGERY; SATELLITES; SPACE OPTICS; SPACE RESEARCH; SUSTAINABLE DEVELOPMENT;

EID: 84938936698     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2192738     Document Type: Conference Paper
Times cited : (3)

References (17)
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    • Using Low Resolution Satellite Imagery for Yield Predictionand Yield Anomaly Detection
    • Rembold F., Atzberger C., Savin I. and Rojas O., 2013. Using Low Resolution Satellite Imagery for Yield Predictionand Yield Anomaly Detection. Remote Sens. 2013, 5, 1704-1733; DOI:10.3390/rs5041704
    • (2013) Remote Sens. 2013 , vol.5 , pp. 1704-1733
    • Rembold, F.1    Atzberger, C.2    Savin, I.3    Rojas, O.4
  • 9
    • 84887724460 scopus 로고    scopus 로고
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    • 15November 2013
    • Hansen M.C. et al. 2013. High-Resolution Global Maps of 21st-Century Forest Cover Change. Science 15November 2013: Vol. 342 no. 6160 pp. 850-853 .DOI: 10.1126/science.1244693
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    • Chapter I, Article 5 Florence
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    • Framework for Defining Spatially Explicit Earth Observation Requirements for a Global Agricultural Monitoring Initiative (GEOGLAM)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.