Using multi-temporal satellite data to evaluate selective logging in Para, Brazil

被引:81
|
作者
Stone, TA [1 ]
Lefebvre, P [1 ]
机构
[1] Woods Hole Res Ctr, Woods Hole, MA 02543 USA
基金
美国国家航空航天局;
关键词
D O I
10.1080/014311698214604
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Clear cutting in tropical forests is common. A newer phenomenon, selective logging, is evident in Amazonia when examined with high-resolution satellite data. We have quantified selective logging by digitizing satellite imagery and have found that it is much more difficult to detect than clear cutting. Selective logging is likely under-reported in satellite imagery-based estimates of change in Amazonia as the visible signal of selective logging may be evident for only a limited time. We have found that the areas affected by selective logging have increased over time and have become more widely distributed. Little land selectively logged, perhaps 10%, was converted to pasture. Selective logging altered 12% of the total forested area of one study region, yet was undetectable in satellite imagery three years later. It is unclear how long the visual clues of selective logging will remain apparent in satellite imagery in subsequent years.
引用
收藏
页码:2517 / 2526
页数:10
相关论文
共 50 条
  • [21] Monitoring shoreline change on Djerba Island using GIS and multi-temporal satellite data
    Majed Bouchahma
    Wanglin Yan
    Arabian Journal of Geosciences, 2014, 7 : 3705 - 3713
  • [22] A highly automated algorithm for wetland detection using multi-temporal optical satellite data
    Ludwig, Christina
    Walli, Andreas
    Schleicher, Christian
    Weichselbaum, Juergen
    Riffler, Michael
    REMOTE SENSING OF ENVIRONMENT, 2019, 224 : 333 - 351
  • [23] Assessment of automatic extraction of surface water dynamism using multi-temporal satellite data
    Bhunia, Gouri Sankar
    EARTH SCIENCE INFORMATICS, 2021, 14 (03) : 1433 - 1446
  • [24] Estimating annual cuttings using multi-temporal satellite data and field data from the Swedish NFI
    Nilsson, M.
    Holm, S.
    Wallerman, J.
    Reese, H.
    Olsson, H.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30 (19) : 5109 - 5116
  • [25] Multi-temporal Satellite Image Analysis Using Unsupervised Techniques
    Arvind, C. S.
    Vanjare, Ashoka
    Omkar, S. N.
    Senthilnath, J.
    Mani, V.
    Diwakar, P. G.
    ADVANCES IN COMPUTING AND INFORMATION TECHNOLOGY, VOL 2, 2013, 177 : 757 - +
  • [26] Satellite Derived Bathymetry Using Machine Learning and Multi-Temporal Satellite Images
    Sagawa, Tatsuyuki
    Yamashita, Yuta
    Okumura, Toshio
    Yamanokuchi, Tsutomu
    REMOTE SENSING, 2019, 11 (10)
  • [27] Flood Assessment using Multi-Temporal Modis Satellite Images
    Arvind, C. S.
    Vanjare, Ashoka
    Omkar, S. N.
    Senthilnath, J.
    Mani, V.
    Diwakar, P. G.
    TWELFTH INTERNATIONAL CONFERENCE ON COMMUNICATION NETWORKS, ICCN 2016 / TWELFTH INTERNATIONAL CONFERENCE ON DATA MINING AND WAREHOUSING, ICDMW 2016 / TWELFTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING, ICISP 2016, 2016, 89 : 575 - 586
  • [28] Environmental Monitoring of Bombetoka Bay and the Betsiboka Estuary, Madagascar, Using Multi-temporal Satellite Data
    Raharimahefa, Tsilavo
    Kusky, Timothy M.
    JOURNAL OF EARTH SCIENCE, 2010, 21 (02) : 210 - 226
  • [29] The improvement of an object-oriented classification using multi-temporal MODIS EVI satellite data
    Gao, Y.
    Mas, J. -F.
    Navarrete, A.
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2009, 2 (03) : 219 - 236
  • [30] Environmental Monitoring of Bombetoka Bay and the Betsiboka Estuary,Madagascar,Using Multi-temporal Satellite Data
    Tsilavo Raharimahefa
    Timothy M Kusky
    Journal of Earth Science, 2010, 21 (02) : 210 - 226