Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol

被引:131
作者
Patenaude, G
Milne, R
Dawson, TP
机构
[1] Ctr Ecol & Hydrol, Penicuik EH26 0QB, Midlothian, Scotland
[2] Univ Oxford, Environm Change Inst, Oxford OX1 3SZ, England
关键词
remote sensing; Kyoto Protocol; land use change and forestry (LUCF); carbon; biomass;
D O I
10.1016/j.envsci.2004.12.010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Kyoto Protocol requires that signatory countries reduce their human-induced emissions of CO2 by at least 5% below their emission levels of 1990 by 2008-2012. Parties ratifying the agreement are given the option to meet part of their reduction requirements through the conservation and enhancement of the carbon stored in forest ecosystems. To do this, they must estimate carbon stocks in 1990 and any changes since 1990 from all afforestation, reforestation and deforestation activities. In the UK, although some data are already available, the Protocol will require additional monitoring. To address this, we provide a quantitative assessment of remote sensing approaches for: (1) land cover discrimination to monitor deforestation; and (2) above-ground forest carbon stocks estimation. For land cover discrimination, both optical and radar remote sensing have been successful. For forest carbon stock monitoring, radar is most appropriate until LiDAR is made available from satellite platforms. While focusing on the requirements specific to the UK, our treatment is relevant for Parties having similar requirements. Finally, we stress the need for a synergetic use of approaches and for the launch of satellite missions designed especially for terrestrial carbon stock monitoring. We also highlight future requirements for improving the current forest inventory scheme. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:161 / 178
页数:18
相关论文
共 117 条
[1]   A QUANTITATIVE RELATIONSHIP BETWEEN FOREST GROWTH-RATES AND THEMATIC MAPPER REFLECTANCE MEASUREMENTS [J].
AHERN, FJ ;
ERDLE, T ;
MACLEAN, DA ;
KNEPPECK, ID .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1991, 12 (03) :387-400
[2]  
Anderson J. R, 1976, LAND USE LAND COVER, V964, DOI [DOI 10.3133/PP964, 10.3133/pp964]
[3]  
[Anonymous], OGY, DOI [DOI 10.1080/10106048909354217, DOI 10.1080/02691720903364134]
[4]  
[Anonymous], 2000, IPCC SPECIAL REPORT
[5]   Processing of laser scanner data - algorithms and applications [J].
Axelsson, PE .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 1999, 54 (2-3) :138-147
[6]   Forest mapping and monitoring with interferometric synthetic aperture radar (InSAR) [J].
Balzter, H .
PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 2001, 25 (02) :159-177
[7]   APPROACH TO FORESTRY INVENTORY AND MAPPING BY MEANS OF MULTISPECTRAL AIRBORNE DATA [J].
BAULIES, X ;
PONS, X .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1995, 16 (01) :61-80
[8]   TERRAIN INFLUENCES IN SAR BACKSCATTER AND ATTEMPTS TO THEIR CORRECTION [J].
BAYER, T ;
WINTER, R ;
SCHREIER, G .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1991, 29 (03) :451-462
[9]   Mapping National Park landscape from ground, air and space [J].
Bird, AC ;
Taylor, JC ;
Brewer, TR .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2000, 21 (13-14) :2719-2736
[10]   The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography [J].
Blair, JB ;
Rabine, DL ;
Hofton, MA .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 1999, 54 (2-3) :115-122