Terrestrial LiDAR and 3D tree reconstruction modeling for quantification of biomass loss and characterization of impacts of selective logging in tropical forest of Peruvian Amazon. Multi-sensor assessment, combining near and remote sensing

J. Gonzalez De Tanago Meñaca; Shijo Joseph; M. Herold; R.M. Goodman; H.M. Bartholomeus; V. Avitabile; P. Raumonen; K. Calders; A.I. Lau Sarmiento; J. Janovec

Terrestrial LiDAR and 3D tree reconstruction modeling for quantification of biomass loss and characterization of impacts of selective logging in tropical forest of Peruvian Amazon. Multi-sensor assessment, combining near and remote sensing

J. Gonzalez De Tanago Meñaca, Shijo Joseph, M. Herold, R.M. Goodman, H.M. Bartholomeus, V. Avitabile, P. Raumonen, K. Calders, A.I. Lau Sarmiento, J. Janovec

Research output: Contribution to conference › Abstract

Original language	English
Publication status	Published - 7 Nov 2014
Event	ForestSat 2014, Riva del Garda, Italy - Duration: 4 Nov 2014 → 7 Nov 2014

Conference

Conference	ForestSat 2014, Riva del Garda, Italy
Period	4/11/14 → 7/11/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Gonzalez De Tanago Meñaca, J., Joseph, S., Herold, M., Goodman, R. M., Bartholomeus, H. M., Avitabile, V., Raumonen, P., Calders, K., Lau Sarmiento, A. I., & Janovec, J. (2014). Terrestrial LiDAR and 3D tree reconstruction modeling for quantification of biomass loss and characterization of impacts of selective logging in tropical forest of Peruvian Amazon. Multi-sensor assessment, combining near and remote sensing. Abstract from ForestSat 2014, Riva del Garda, Italy.

@conference{b54d064a044e4acfb10ab8fa2e4c7025,

title = "Terrestrial LiDAR and 3D tree reconstruction modeling for quantification of biomass loss and characterization of impacts of selective logging in tropical forest of Peruvian Amazon. Multi-sensor assessment, combining near and remote sensing",

author = "{Gonzalez De Tanago Me{\~n}aca}, J. and Shijo Joseph and M. Herold and R.M. Goodman and H.M. Bartholomeus and V. Avitabile and P. Raumonen and K. Calders and {Lau Sarmiento}, A.I. and J. Janovec",

year = "2014",

month = nov,

day = "7",

language = "English",

note = "ForestSat 2014, Riva del Garda, Italy ; Conference date: 04-11-2014 Through 07-11-2014",

}

Gonzalez De Tanago Meñaca, J, Joseph, S, Herold, M, Goodman, RM, Bartholomeus, HM, Avitabile, V, Raumonen, P, Calders, K, Lau Sarmiento, AI & Janovec, J 2014, 'Terrestrial LiDAR and 3D tree reconstruction modeling for quantification of biomass loss and characterization of impacts of selective logging in tropical forest of Peruvian Amazon. Multi-sensor assessment, combining near and remote sensing', ForestSat 2014, Riva del Garda, Italy, 4/11/14 - 7/11/14.

Terrestrial LiDAR and 3D tree reconstruction modeling for quantification of biomass loss and characterization of impacts of selective logging in tropical forest of Peruvian Amazon. Multi-sensor assessment, combining near and remote sensing. / Gonzalez De Tanago Meñaca, J.; Joseph, Shijo; Herold, M. et al.

2014. Abstract from ForestSat 2014, Riva del Garda, Italy.

Research output: Contribution to conference › Abstract

TY - CONF

T1 - Terrestrial LiDAR and 3D tree reconstruction modeling for quantification of biomass loss and characterization of impacts of selective logging in tropical forest of Peruvian Amazon. Multi-sensor assessment, combining near and remote sensing

AU - Gonzalez De Tanago Meñaca, J.

AU - Joseph, Shijo

AU - Herold, M.

AU - Goodman, R.M.

AU - Bartholomeus, H.M.

AU - Avitabile, V.

AU - Raumonen, P.

AU - Calders, K.

AU - Lau Sarmiento, A.I.

AU - Janovec, J.

PY - 2014/11/7

Y1 - 2014/11/7

M3 - Abstract

T2 - ForestSat 2014, Riva del Garda, Italy

Y2 - 4 November 2014 through 7 November 2014

ER -

Gonzalez De Tanago Meñaca J, Joseph S, Herold M, Goodman RM, Bartholomeus HM, Avitabile V et al.. Terrestrial LiDAR and 3D tree reconstruction modeling for quantification of biomass loss and characterization of impacts of selective logging in tropical forest of Peruvian Amazon. Multi-sensor assessment, combining near and remote sensing. 2014. Abstract from ForestSat 2014, Riva del Garda, Italy.