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
  • [41] Spatial monitoring of grassland management using multi-temporal satellite imagery
    Stumpf, Felix
    Schneider, Manuel K.
    Keller, Armin
    Mayr, Andreas
    Rentschler, Tobias
    Meuli, Reto G.
    Schaepman, Michael
    Liebisch, Frank
    ECOLOGICAL INDICATORS, 2020, 113
  • [42] Wheat yield estimates using multi-temporal NDVI satellite imagery
    Labus, MP
    Nielsen, GA
    Lawrence, RL
    Engel, R
    Long, DS
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (20) : 4169 - 4180
  • [43] Forecasting of Cyclone Using Multi-temporal Change Detected Satellite Images
    David, D. Beulah
    DoraiRangaswamy, Dr.
    2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, : 148 - 153
  • [44] Use of multi-temporal and multispectral satellite data for urban change detection analysis
    Zoran, M.
    Weber, C.
    JOURNAL OF OPTOELECTRONICS AND ADVANCED MATERIALS, 2007, 9 (06): : 1926 - 1932
  • [45] Estimation of corn yield using multi-temporal optical and radar satellite data and artificial neural networks
    Fieuzal, R.
    Sicre, C. Marais
    Baup, F.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 57 : 14 - 23
  • [46] LAND COVER CHANGE ASSESSMENT OF VAAL HARTS IRRIGATION SCHEME USING MULTI-TEMPORAL SATELLITE DATA
    Otieno, Fredrick Ao
    Ojo, Olumuyiwa I.
    Ochieng, George M.
    ARCHIVES OF ENVIRONMENTAL PROTECTION, 2013, 39 (04) : 59 - 70
  • [47] Evaluation of Land Use and Land Cover Transformation and Urban Dynamics Using Multi-Temporal Satellite Data
    Singh, Perminder
    Singla, Sandeep
    Bansal, Aarti
    GEODETSKI LIST, 2021, 75 (03) : 257 - 279
  • [48] Assessing the Status of Glaciers in Upper Jhelum Basin of Kashmir Himalayas Using Multi-temporal Satellite Data
    Syed Towseef Ahmad
    Rayees Ahmed
    Gowhar Farooq Wani
    Parmanand Sharma
    Pervez Ahmed
    Riyaz Ahmad Mir
    Jobair B. Alam
    Earth Systems and Environment, 2022, 6 : 375 - 389
  • [49] Tropical land use land cover mapping in Para (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data
    Hagensieker, Ron
    Roscher, Ribana
    Rosentreter, Johannes
    Jakimow, Benjamin
    Waske, Bjorn
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 63 : 244 - 256
  • [50] Assessing the Status of Glaciers in Upper Jhelum Basin of Kashmir Himalayas Using Multi-temporal Satellite Data
    Ahmad, Syed Towseef
    Ahmed, Rayees
    Wani, Gowhar Farooq
    Sharma, Parmanand
    Ahmed, Pervez
    Mir, Riyaz Ahmad
    Alam, Jobair B.
    EARTH SYSTEMS AND ENVIRONMENT, 2022, 6 (02) : 375 - 389