Extraction of mangrove forests using a satellite image and a digital elevation model

被引：2
|
作者：
Tamura, Masayuki [1 ]
Kikushima, Kota [1 ]
机构：
[1] Kyoto Univ, Dept Urban & Environm Engn, Nishikyo Ku, Kyoto 6158540, Japan
来源：
REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY X | 2008年 / 7104卷
关键词：
mangrove; Landsat; short-wave-infrared band; topographic condition; intertidal zone;
D O I：
10.1117/12.799341
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
A method has been developed for mapping mangrove forests using two unique features of mangroves. (1) Reflected radiance of mangrove forests in short-wave-infrared bands is lower than that of ordinary vegetation. (2) Mangroves can form forests only in the intertidal zones between the mean and the highest sea levels. A Landsat/ETM+ image and a digital elevation model were used to extract mangrove forests in Iriomote Island, Okinawa, Japan. The extracted results agreed well with ground truth data.
引用
收藏
页数：9
相关论文
共 50 条
  • [21] AVALANCHE HAZARD MAPPING WITH SATELLITE DATA AND A DIGITAL ELEVATION MODEL
    GRUBER, U
    HAEFNER, H
    APPLIED GEOGRAPHY, 1995, 15 (02) : 99 - 113
  • [22] Landform classification from a digital elevation model and satellite imagery
    Saadat, Hossein
    Bonnell, Robert
    Sharifi, Forood
    Mehuys, Guy
    Namdar, Mohammad
    Ale-Ebrahim, Sasan
    GEOMORPHOLOGY, 2008, 100 (3-4) : 453 - 464
  • [23] AVALANCHE HAZARD MAPPING WITH SATELLITE DATA AND A DIGITAL ELEVATION MODEL
    GRUBER, U
    HAEFNER, H
    DEFENCE SCIENCE JOURNAL, 1995, 45 (02) : 131 - 140
  • [24] A review of uses of satellite imagery in monitoring mangrove forests
    Purnamasayangsukasih, Rhyma P.
    Norizah, K.
    Adnan, Ismail
    Shamsudin, I
    8TH IGRSM INTERNATIONAL CONFERENCE AND EXHIBITION ON GEOSPATIAL & REMOTE SENSING (IGRSM 2016), 2016, 37
  • [25] Conceptualizing ecosystem degradation using mangrove forests as a model system
    Yando, Erik S.
    Sloey, Taylor M.
    Dahdouh-Guebas, Farid
    Rogers, Kerrylee
    Abuchahla, Guilherme M. O.
    Cannicci, Stefano
    Canty, Steven W. J.
    Jennerjahn, Tim C.
    Ogurcak, Danielle E.
    Adams, Janine B.
    Connolly, Rod M.
    Diele, Karen
    Lee, Shing Yip
    Rowntree, Jennifer K.
    Sharma, Sahadev
    Cavanaugh, Kyle C.
    Cormier, Nicole
    Feller, Ilka C.
    Fratini, Sara
    Ouyang, Xiaoguang
    Wee, Alison K. S.
    Friess, Daniel A.
    BIOLOGICAL CONSERVATION, 2021, 263
  • [26] Digital elevation model based on aerial UAV image
    Institute of GIS, RS and GPS, Beijing Forestry University, Beijing 100083, China
    不详
    Beijing Linye Daxue Xuebao, 2007, SUPPL. 2 (152-155):
  • [27] Creation of digital city model using single high resolution satellite image
    Paul, R
    Subramanian, I
    Bharadwaj, S
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2006, 72 (04): : 341 - 342
  • [28] AN IMPROVED METHOD FOR MAPPING DEBRIS-COVERED GLACIERS WITH SATELLITE MULTISPECTRAL IMAGE DATA AND DIGITAL ELEVATION MODEL
    Zhang Xiaowen
    Zhang Shiqiang
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 1937 - +
  • [29] Estimation of aboveground biomass in mangrove forests using high-resolution satellite data
    Hirata, Yasumasa
    Tabuchi, Ryuichi
    Patanaponpaiboon, Pipat
    Poungparn, Sasitorn
    Yoneda, Reiji
    Fujioka, Yoshimi
    JOURNAL OF FOREST RESEARCH, 2014, 19 (01) : 34 - 41
  • [30] Digital elevation model combination using triangular image warping interpolation and maximum likelihood
    Ye, CS
    Jeon, BM
    Lee, KH
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (18) : 3683 - 3689
12345