Improving tropical forest mapping using multi-date Landsat TM data and pre-classification image smoothing

International Journal of Remote Sensing ◽

10.1080/01431160310001598926 ◽

2004 ◽

Vol 25 (4) ◽

pp. 717-730 ◽

Author(s):

C. Tottrup

Keyword(s):

Tropical Forest ◽

Image Smoothing ◽

Forest Mapping ◽

Classification Image

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Comparison of texture-based and fuzzy classification approaches for regenerating tropical forest mapping using LANDSAT TM

10.1117/12.182862 ◽

1994 ◽

Author(s):

Gintautas Palubinskas

Keyword(s):

Tropical Forest ◽

Fuzzy Classification ◽

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Image segmentation for humid tropical forest classification in Landsat TM data

International Journal of Remote Sensing ◽

10.1080/014311699213082 ◽

1999 ◽

Vol 20 (5) ◽

pp. 1039-1044 ◽

Author(s):

R. A. Hill

Keyword(s):

Image Segmentation ◽

Tropical Forest ◽

Forest Classification ◽

Humid Tropical Forest

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Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2012.03.011 ◽

2012 ◽

Vol 70 ◽

pp. 66-77 ◽

Author(s):

M.E.J. Cutler ◽

D.S. Boyd ◽

G.M. Foody ◽

A. Vetrivel

Keyword(s):

Tropical Forest ◽

Forest Biomass ◽

Image Texture ◽

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An evaluation of fuzzy and texture-based classification approaches for mapping regenerating tropical forest classes from Landsat-TM data

International Journal of Remote Sensing ◽

10.1080/01431169508954437 ◽

1995 ◽

Vol 16 (4) ◽

pp. 747-759 ◽

Author(s):

G. PALUBINSKAS ◽

R. M. LUCAS ◽

G. M. FOODY ◽

P. J. CURRAN

Keyword(s):

Tropical Forest ◽

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Tropical forest mapping using a combination of optical and microwave data of ALOS

International Journal of Remote Sensing ◽

10.1080/01431161.2012.709329 ◽

2012 ◽

Vol 34 (1) ◽

pp. 139-153 ◽

Author(s):

Nguyen Thanh Hoan ◽

Ryutaro Tateishi ◽

Bayan Alsaaideh ◽

Thomas Ngigi ◽

Ilham Alimuddin ◽

...

Keyword(s):

Tropical Forest ◽

Forest Mapping ◽

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High-resolution tropical forest mapping of the Amazon basin: a novel classification approach for the GRFM radar mosaic

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) ◽

10.1109/igarss.2001.976843 ◽

2002 ◽

Author(s):

M. Sgrenzaroli ◽

A. Baraldi ◽

G.F. De Grandi ◽

F. Achard ◽

H. Eva

Keyword(s):

High Resolution ◽

Tropical Forest ◽

Amazon Basin ◽

Classification Approach ◽

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Identifying terrestrial carbon sinks: Classification of successional stages in regenerating tropical forest from Landsat TM data

Remote Sensing of Environment ◽

10.1016/s0034-4257(95)00196-4 ◽

1996 ◽

Vol 55 (3) ◽

pp. 205-216 ◽

Author(s):

Giles M. Foody ◽

Gintautas Palubinskas ◽

Richard M. Lucas ◽

Paul J. Curran ◽

Miroslav Honzak

Keyword(s):

Tropical Forest ◽

Carbon Sinks ◽

Terrestrial Carbon ◽

Successional Stages

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Estimation of tropical forest biomass using Landsat TM imagery and permanent plot data in Xishuangbanna, China

International Journal of Remote Sensing ◽

10.1080/01431161.2010.507677 ◽

2011 ◽

Vol 32 (20) ◽

pp. 5741-5756 ◽

Author(s):

Cunjian Yang ◽

He Huang ◽

Siyuan Wang

Keyword(s):

Tropical Forest ◽

Forest Biomass ◽

Permanent Plot ◽

Landsat Tm Imagery

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BOREAS TE-18 LANDSAT TM MAXIMUM LIKELIHOOD CLASSIFICATION IMAGE OF THE SSA

ORNL Distributed Active Archive Center Datasets ◽

10.3334/ornldaac/430 ◽

1999 ◽

Author(s):

F. G. HALL

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Classification ◽

Classification Image

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Analysis of the tropical forest vegetation change in Xishuangbanna of P.R. China by using LANDSAT TM

10.1117/12.750226 ◽

2007 ◽

Author(s):

Cunjian Yang ◽

Rong He ◽

Shanxi Luo ◽

Binbin He

Keyword(s):

Tropical Forest ◽

Vegetation Change ◽

Forest Vegetation ◽

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