SCOPUS 정보 검색 플랫폼

Volumn 74, Issue 3, 2018, Pages 123-127

Investigation of the potential of drone observations for detection of forest disturbance caused by heavy snow damage in a Japanese cedar (Cryptomeria japonica) forest

(5) Nagai, Shin a Saitoh, Taku M b Kajiwara, Koji c Yoshitake, Shinpei b Honda, Yoshiaki c

a JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY (Japan)

b GIFU UNIVERSITY (Japan)

c CHIBA UNIVERSITY (Japan)

Author keywords

Drone; Forest disturbance; Japanese cedar; Photogrammetry; Snow damage

Indexed keywords

EID: 85049932229 PISSN: 00218588 EISSN: 18810136 Source Type: Journal
DOI: 10.2480/agrmet.D-17-00038 Document Type: Note

Times cited : (10)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.