Assessment of tropical forest degradation with canopy fractional cover from landsat ETM plus and IKONOS imagery

被引:0
|
作者
Wang, Cuizhen
Qi, Jiaguo
Cochrane, Mark
机构
[1] Univ Missouri, Dept Geog, Columbia, MO 65211 USA
[2] Michigan State Univ, Dept Geog, E Lansing, MI 48824 USA
[3] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48824 USA
来源
EARTH INTERACTIONS | 2005年 / 9卷
关键词
forest degradation; remote sensing; selective logging;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Tropical forests are being subjected to a wide array of disturbances in addition to outright deforestation. Selective logging is one of the most common disturbances ongoing in the Amazon, which results in significant changes in forest structure and canopy integrity. Assessing forest canopy fractional cover (fc) is one way of measuring forest degradation caused by selective logging. In this study we applied a linear mixture model to a vegetation index domain to map canopy fractional cover in tropical forests in the Amazonian state of Mato Grosso, Brazil. The modified soil adjusted vegetation index (MSAVI) was selected as the optimal vegetation index in the model because it is most linearly related to green canopy abundance up to leaf area index = 4.0. In the canopy fc map derived from the Landsat Enhanced Thematic Mapper Plus (ETM+) image, the fc distribution ranged from 0 to 0.4 in clear-cut areas, higher than 0.8 in undisturbed forests, and a wider range of 0.3 - 1.0 in degraded forests. The fc map was validated with the 1-m panchromatic sharpened IKONOS image. In the logged forests the ETM+ estimated fc values were clustered along the 1: 1 line in the scatterplot with the IKONOS estimated fc and had a squared correlation coefficient (R-2) of 0.8.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] A strategy for analyzing urban forest using landsat ETM plus imagery
    Huang, Chudong
    Shao, Yun
    Chen, Jinsong
    Liu, Jinghui
    Chen, Jieqiong
    Li, Jing
    [J]. IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 1990 - +
  • [2] Secondary forest detection in a neotropical dry forest landscape using Landsat 7 ETM+ and IKONOS imagery
    Arroyo-Mora, JP
    Sánchez-Azofeifa, GA
    Kalacska, MER
    Rivard, B
    Calvo-Alvarado, JC
    Janzen, DH
    [J]. BIOTROPICA, 2005, 37 (04) : 497 - 507
  • [3] Assessment of tropical forest degradation by selective logging and fire using Landsat imagery
    Matricardi, Eraldo A. T.
    Skole, David L.
    Pedlowski, Marcos A.
    Chomentowski, Walter
    Fernandes, Luis Claudio
    [J]. REMOTE SENSING OF ENVIRONMENT, 2010, 114 (05) : 1117 - 1129
  • [4] Integration of lidar and Landsat ETM plus data for estimating and mapping forest canopy height
    Hudak, AT
    Lefsky, MA
    Cohen, WB
    Berterretche, M
    [J]. REMOTE SENSING OF ENVIRONMENT, 2002, 82 (2-3) : 397 - 416
  • [5] Historical tropical successional forest cover mapped with Landsat MSS imagery
    Sloan, Sean
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (24) : 7902 - 7935
  • [6] Comparison of data gap-filling methods for Landsat ETM plus SLC-off imagery for monitoring forest degradation in a semi-deciduous tropical forest in Mexico
    Romero-Sanchez, Martin Enrique
    Ponce-Hernandez, Raul
    Franklin, Steven E.
    Arturo Aguirre-Salado, Carlos
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (11) : 2786 - 2799
  • [7] Evaluation of land cover classification based on multispectral versus pansharpened landsat ETM plus imagery
    Lwin, Ko Ko
    Murayama, Yuji
    [J]. GISCIENCE & REMOTE SENSING, 2013, 50 (04) : 458 - 472
  • [8] Combining Landsat TM/ETM plus and ALOS AVNIR-2 Satellite Data for Tropical Forest Cover Change Detection
    Vollmar, Michael
    Rasi, Rastislav
    Beuchle, Rene
    Simonetti, Dario
    Stibig, Hans-Juergen
    Achard, Frederic
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2013, 6 (01) : 102 - 109
  • [9] Suspended sediment monitoring and assessment for Yellow River estuary from Landsat TM and ETM plus imagery
    Zhang, Minwei
    Dong, Qing
    Cui, Tingwei
    Xue, Cunjin
    Zhang, Songli
    [J]. REMOTE SENSING OF ENVIRONMENT, 2014, 146 : 136 - 147
  • [10] Classification of Amazonian primary rain forest vegetation using Landsat ETM plus satellite imagery
    Salovaara, KJ
    Thessler, S
    Malik, RN
    Tuomisto, H
    [J]. REMOTE SENSING OF ENVIRONMENT, 2005, 97 (01) : 39 - 51