Tropical forest cover dynamics for Latin America using Earth observation data: a review covering the continental, regional, and local scale

被引:29
作者
Da Ponte, E. [1 ]
Fleckenstein, M. [2 ]
Leinenkugel, P. [3 ]
Parker, A. [2 ]
Oppelt, N. [1 ]
Kuenzer, C. [3 ]
机构
[1] Univ Kiel, Dept Geog Remote Sensing & Environm Modelling, Olshaussenstr 40, D-24098 Kiel, Germany
[2] World Wildlife Fund WWF Deutschland, Agr & Land Use Change, D-10117 Berlin, Germany
[3] German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, D-82234 Wessling, Germany
关键词
GLOBAL LAND-COVER; LINEAR MIXTURE MODEL; RESOLUTION SATELLITE DATA; TIME-SERIES; TREE-COVER; CONTINUOUS FIELDS; DEFORESTATION DYNAMICS; MULTITEMPORAL ANALYSIS; ACCURACY ASSESSMENT; FRACTIONAL COVER;
D O I
10.1080/01431161.2015.1058539
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The tropical forest cover has varied greatly over the last few decades. The rapid advance of agricultural crops and illegal clearings in natural areas has resulted in the conversion of the majority of the world's forest into desolated patches. Although rates of deforestation have decreased compared to previous years, forest loss still remains a crucial concern. Latest studies conducted on a global scale identified the Latin American continent as one of the regions exhibiting the highest rates of deforestation in the world. The dynamics of forests over the past 40 years has attracted numerous remote-sensing-based studies to monitor forest loss, analyse patterns, and understand the drivers of land conversion. This review article provides a comprehensive overview of the remote-sensing-based studies of tropical forest dynamics in Latin America. Following an introduction with respect to global forest mapping products, a general outline of tropical forest ecoregions and drivers of deforestation in Latin America is provided. Subsequently, a review and categorization of the existing studies is presented, where focus is laid on selected sensors and data analysis methodologies apply. Furthermore, a case study for the whole of Paraguay is presented; Paraguay is a region which contains highly diverse ecosystems that have been ravaged as a result of deforestation over the past 40 years. The main results, challenges, and future needs are discussed.
引用
收藏
页码:3196 / 3242
页数:47
相关论文
共 211 条
[1]   Pan-tropical monitoring of deforestation [J].
Achard, F. ;
DeFries, R. ;
Eva, H. ;
Hansen, M. ;
Mayaux, P. ;
Stibig, H-J .
ENVIRONMENTAL RESEARCH LETTERS, 2007, 2 (04)
[2]  
Achard F, 2001, INT J REMOTE SENS, V22, P2741, DOI 10.1080/01431160010014251
[3]   Determination of deforestation rates of the world's humid tropical forests [J].
Achard, F ;
Eva, HD ;
Stibig, HJ ;
Mayaux, P ;
Gallego, J ;
Richards, T ;
Malingreau, JP .
SCIENCE, 2002, 297 (5583) :999-1002
[4]  
Achard F., 2012, GLOBAL FOREST MONITO, P39
[5]   Estimating tropical deforestation from Earth observation data [J].
Achard, Frederic ;
Stibig, Hans-Juergen ;
Eva, Hugh D. ;
Lindquist, Erik J. ;
Bouvet, Alexandre ;
Arino, Olivier ;
Mayaux, Philippe .
CARBON MANAGEMENT, 2010, 1 (02) :271-287
[6]   CLASSIFICATION OF MULTISPECTRAL IMAGES BASED ON FRACTIONS OF ENDMEMBERS - APPLICATION TO LAND-COVER CHANGE IN THE BRAZILIAN AMAZON [J].
ADAMS, JB ;
SABOL, DE ;
KAPOS, V ;
ALMEIDA, R ;
ROBERTS, DA ;
SMITH, MO ;
GILLESPIE, AR .
REMOTE SENSING OF ENVIRONMENT, 1995, 52 (02) :137-154
[7]   Deforestation and Reforestation of Latin America and the Caribbean (2001-2010) [J].
Aide, T. Mitchell ;
Clark, Matthew L. ;
Ricardo Grau, H. ;
Lopez-Carr, David ;
Levy, Marc A. ;
Redo, Daniel ;
Bonilla-Moheno, Martha ;
Riner, George ;
Andrade-Nunez, Maria J. ;
Muniz, Maria .
BIOTROPICA, 2013, 45 (02) :262-271
[8]  
ALMEIDA F.R., 2005, S BRASILEIRO SENSORI, P4371
[9]   Digital processing of a Landsat-TM time series for mapping and monitoring degraded areas caused by independent gold miners, Roraima State, Brazilian Amazon [J].
Almeida, R ;
Shimabukuro, YE .
REMOTE SENSING OF ENVIRONMENT, 2002, 79 (01) :42-50
[10]  
Alves DS, 2009, GEOPHYS MONOGR SER, V186, P11, DOI 10.1029/2008GM000722