MULTISPECTRAL SENSING OF FOREST TREE SPECIES

被引：0
|
作者：
ROHDE, WG [1 ]
OLSON, CE [1 ]
机构：
[1] UNIV MICHIGAN,ANN ARBOR,MI 48104
来源：
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING | 1972年 / 38卷 / 12期
关键词：
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
引用
收藏
页码：1209 / 1215
页数：7
相关论文
共 50 条
  • [31] Hygroscopicity of the bark of selected forest tree species
    Ilek, Anna
    Kucza, Jaroslaw
    Morkisz, Karolina
    IFOREST-BIOGEOSCIENCES AND FORESTRY, 2017, 10 : 220 - 226
  • [32] Application of Native Tree Species to Urban Forest
    ZHOU Zaohong1* GUO Meifeng WUGuoxun2 Collegeof Resource and Environment Management Jiangxi Finance and EconomicsUniversity
    ChineseForestryScienceandTechnology, 2004, (03) : 73 - 77
  • [33] REPRODUCTIVE PHENOLOGY OF TREE SPECIES IN A NEOTROPICAL FOREST
    Cortes-Flores, Jorge
    Cornejo-Tenorio, Guadalupe
    Ibarra-Manriquez, Guillermo
    INTERCIENCIA, 2011, 36 (08) : 608 - 613
  • [34] STRUCTURE OF TREE SPECIES BIOMASS IN FOREST STANDS
    OSZLANYI, J
    EKOLOGIA CSFR, 1983, 2 (04): : 431 - 447
  • [35] Urban Tree Species Classification Combining Spaceborne LiDAR and Multispectral Imagery
    Wang S.
    Liu C.
    Wu H.
    Li W.
    Tongji Daxue Xuebao/Journal of Tongji University, 2024, 52 (06): : 970 - 981
  • [36] Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition
    Kukkonen, Mikko
    Maltamo, Matti
    Korhonen, Lauri
    Packalen, Petteri
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (06): : 3462 - 3471
  • [37] Tree health mapping with multispectral remote sensing data at UC Davis, California
    Xiao Q.
    McPherson E.G.
    Urban Ecosystems, 2005, 8 (3-4) : 349 - 361
  • [38] Complementary resource use by tree species in a rain forest tree plantation
    Richards, Anna E.
    Schmidt, Susanne
    ECOLOGICAL APPLICATIONS, 2010, 20 (05) : 1237 - 1254
  • [39] Integrating volunteered smartphone data with multispectral remote sensing to estimate forest fuels
    Ferster, Colin J.
    Coops, Nicholas C.
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2016, 9 (02) : 171 - 196
  • [40] Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data
    Naik, Parth
    Dalponte, Michele
    Bruzzone, Lorenzo
    REMOTE SENSING, 2021, 13 (07)
12345