scholarly journals Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon

2016 ◽  
Vol 30 (11) ◽  
pp. 1639-1660 ◽  
Author(s):  
Marcos Longo ◽  
Michael Keller ◽  
Maiza N. dos-Santos ◽  
Veronika Leitold ◽  
Ekena R. Pinagé ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Brazilian Amazon ◽  
Biomass Variability

scholarly journals Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Graciela Tejada ◽  
Eric Bastos Görgens ◽  
Fernando Del Bon Espírito-Santo ◽  
Roberta Zecchini Cantinho ◽  
Jean Pierre Ometto
Keyword(s):  
Aboveground Biomass ◽  
Brazilian Amazon ◽  
Spatial Coverage

scholarly journals Polarimetric Alos/Palsar-2 Data for Retrieving Aboveground Biomass of Secondary Forest in the Brazilian Amazon

2019 ◽  
Author(s):  
Henrique Luis Godinho Cassol ◽  
Luiz E. de O. C. Aragao ◽  
Elisabete Caria Moraes ◽  
Joao Manuel de Brito Carreiras ◽  
Yosio Edemir Shimabukuro
Keyword(s):  
Aboveground Biomass ◽  
Secondary Forest ◽  
Brazilian Amazon ◽  
Alos Palsar

Multi-scale approach to estimating aboveground biomass in the Brazilian Amazon using Landsat and LiDAR data

2019 ◽  
Vol 40 (22) ◽  
pp. 8635-8645 ◽  
Author(s):  
Erone Ghizoni Dos Santos ◽  
Yosio Edemir Shimabukuro ◽  
Yhasmin Mendes De Moura ◽  
Fabio Guimarães Gonçalves ◽  
Anderson Jorge ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Brazilian Amazon ◽  
Lidar Data ◽  
Multi Scale

scholarly journals Exploring TM image texture and its relationships with biomass estimation in Rondônia, Brazilian Amazon

2005 ◽  
Vol 35 (2) ◽  
pp. 249-257 ◽  
Author(s):  
Dengsheng Lu ◽  
Mateus Batistella
Keyword(s):  
Aboveground Biomass ◽  
Forest Biomass ◽  
Brazilian Amazon ◽  
Image Texture ◽  
Biomass Estimation ◽  
Vegetation Biomass ◽  
Mature Forest ◽  
Tm Image ◽  
Occurrence Matrix ◽  
Successional Vegetation

Many texture measures have been developed and used for improving land-cover classification accuracy, but rarely has research examined the role of textures in improving the performance of aboveground biomass estimations. The relationship between texture and biomass is poorly understood. This paper used Landsat Thematic Mapper (TM) data to explore relationships between TM image textures and aboveground biomass in Rondônia, Brazilian Amazon. Eight grey level co-occurrence matrix (GLCM) based texture measures (i.e., mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment, and correlation), associated with seven different window sizes (5x5, 7x7, 9x9, 11x11, 15x15, 19x19, and 25x25), and five TM bands (TM 2, 3, 4, 5, and 7) were analyzed. Pearson's correlation coefficient was used to analyze texture and biomass relationships. This research indicates that most textures are weakly correlated with successional vegetation biomass, but some textures are significantly correlated with mature forest biomass. In contrast, TM spectral signatures are significantly correlated with successional vegetation biomass, but weakly correlated with mature forest biomass. Our findings imply that textures may be critical in improving mature forest biomass estimation, but relatively less important for successional vegetation biomass estimation.

Determining aboveground biomass of the forest successional chronosequence in a test-site of Brazilian Amazon through X- and L-band data analysis

2014 ◽  
Author(s):  
João R. Santos ◽  
Camila V. d. J. Silva ◽  
Lênio S. Galvão ◽  
Robert Treuhaft ◽  
José C. Mura ◽  
...  
Keyword(s):  
Data Analysis ◽  
Aboveground Biomass ◽  
Brazilian Amazon ◽  
Test Site ◽  
L Band

scholarly journals Leaf Traits and Aboveground Biomass Variability of Forest Understory Herbaceous Plant Species

Ecosystems ◽  
2019 ◽  
Vol 23 (3) ◽  
pp. 555-569 ◽  
Author(s):  
Sonia Paź-Dyderska ◽  
Marcin K. Dyderski ◽  
Piotr Szwaczka ◽  
Marta Brzezicha ◽  
Karolina Bigos ◽  
...  
Keyword(s):  
Plant Species ◽  
Aboveground Biomass ◽  
Leaf Traits ◽  
Forest Understory ◽  
Herbaceous Plant ◽  
Biomass Variability

Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms

2019 ◽  
Vol 232 ◽  
pp. 111323 ◽  
Author(s):  
Catherine Torres de Almeida ◽  
Lênio Soares Galvão ◽  
Luiz Eduardo de Oliveira Cruz e Aragão ◽  
Jean Pierre Henry Balbaud Ometto ◽  
Aline Daniele Jacon ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Brazilian Amazon ◽  
Hyperspectral Data ◽  
Regression Algorithms ◽  
Biomass Modeling
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