Canopy texture analysis for large-scale assessments of tropical forest stand structure and biomass

Treetops at Risk: Challenges of Global Canopy Ecology and Conservation

Volumn , Issue , 2013, Pages 237-245

  Ploton, Pierre ^a,b   Pélissier, Raphaël ^a,c   Barbier, N ^c   Proisy, Christophe ^c   Ramesh, B R ^a   Couteron, P ^c  

^a FRENCH INSTITUTE OF PONDICHERRY   (India)

^b Institut de Recherche pour le Developpement Cameroon   (Cameroon)

^c UMR AMAP   (France)

Author keywords

Above ground biomass; Canopy texture; Forest structure; Fourier spectra; High resolution images

Indexed keywords

EID: 84920066511     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-7161-5_24     Document Type: Chapter

References (12)

1. Asner GP, Powell GVN, Mascaro J, Knapp DE, Clark JK, Jacobson J, Kennedy-Bowdoin T, Balaji A, Paez-Acosta G, Victoria E (2010) High-resolution forest carbon stocks and emissions in the Amazon. Proc Natl Acad Sci 107: 16738
2. Barbier N, Couteron P, Proisy C, Malhi Y, Gastellu Etchegorry J-P (2010) The variation of apparent crown size and canopy heterogeneity across lowland Amazonian forests. Glob Ecol Biogeogr 19: 72-84
3. Barbier N, Proisy C, Vega C, Sabatier D, Couteron P (2011) Bidirectional texture function of high resolution optical images of tropical forest: an approach using LiDAR hillshade simulations. Remote Sens Environ 115: 167-179
4. Barbier N, Couteron P, Gastelly-Etchegorry JP, Proisy C (2012) Linking canopy images to forest structural parameters: potential of a modeling framework. Ann For Sci 69(2): 305-311
5. Couteron P (2002) Quantifying change in patterned semi-arid vegetation by Fourier analysis of digitized aerial photographs. Int J Remote Sens 23(17): 3407-3425
6. Couteron P, Pélissier R, Nicolini E, Paget D (2005) Predicting tropical forest stand structure parameters from Fourier transform of very high-resolution remotely sensed canopy images. J Appl Ecol 42: 1121-1128
7. Enquist BJ, West GB, Brown JH (2009) Extensions and evaluations of a general quantitative theory of forest structure and dynamics. Proc Natl Acad Sci 106: 7046
8. Gibbs HK, Brown S, Niles JO, Foley JA (2007) Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environ Res Lett 2: 1-13
9. Maniatis D, Mollicone D (2010) Options for sampling and stratification for national forest inventories to implement REDD+ under the UNFCCC. Carbon Balance Manag 5: 1-14
10. Ploton P (2010) Analyzing canopy heterogeneity of the tropical forests by texture analysis of very-high resolution images-a case study in the Western Ghats of India. Pondy Pap Ecol 10: 1-71
11. Ploton P, Pélissier R, Proisy C, Flavenot T, Barbier N, Rai SN, Couteron P (2012) Assessing aboveground tropical forest biomass using Google Earth canopy images. Ecol Appl 22(3): 993-1003
12. Proisy C, Couteron P, Fromard F (2007) Predicting and mapping mangrove biomass from canopy grain analysis using Fourier-based textural ordination of IKONOS images. Remote Sens Environ 109: 379-392