scholarly journals The Development and Evaluation of a High-Resolution Above Ground Biomass Product for the Commonwealth of Puerto Rico (2000)

2017 ◽  
Vol 83 (4) ◽  
pp. 293-306
Author(s):  
JohnS. Iiames ◽  
JosephB. Riegel ◽  
KristinM. Foley ◽  
RossS. Lunetta
Keyword(s):  
Puerto Rico ◽  
High Resolution ◽  
Above Ground Biomass ◽  
Ground Biomass

scholarly journals Application of Convolutional Neural Network on Lei Bamboo Above-Ground-Biomass (AGB) Estimation Using Worldview-2

2020 ◽  
Vol 12 (6) ◽  
pp. 958 ◽  
Author(s):  
Luofan Dong ◽  
Huaqiang Du ◽  
Ning Han ◽  
Xuejian Li ◽  
Di’en Zhu ◽  
...  
Keyword(s):  
Neural Network ◽  
High Resolution ◽  
Spatial Data ◽  
Vegetation Indices ◽  
Spatial Data Analysis ◽  
Support Vector ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
State Of Art ◽  
Combined Data

Above-ground biomass (AGB) directly relates to the productivity of forests. Precisely, AGB mapping for regional forests based on very high resolution (VHR) imagery is widely needed for evaluation of productivity. However, the diversity of variables and algorithms and the difficulties inherent in high resolution optical imagery make it complex. In this paper, we explored the potentials of the state-of-art algorithm convolutional neural networks (CNNs), which are widely used for its high-level representation, but rarely applied for AGB estimation. Four experiments were carried out to compare the performance of CNNs and other state-of-art Machine Learning (ML) algorithms: (1) performance of CNN using bands, (2) performance of Random Forest (RF), support vector regression (SVR), artificial neural network (ANN) on bands, and vegetation indices (VIs). (3) Performance of RF, SVR, and ANN on gray-level co-occurrence matrices (GLCM), and exploratory spatial data analysis (ESDA), and (4) performance of RF, SVR, and ANN based on all combined data and ESDA+VIs. CNNs reached satisfactory results (with R2 = 0.943) even with limited input variables (i.e., only bands). In comparison, RF and SVR with elaborately designed data obtained slightly better accuracy than CNN. For examples, RF based on GLCM textures reached an R2 of 0.979 and RF based on all combined data reached a close R2 of 0.974. However, the results of ANN were much worse (with the best R2 of 0.885).

scholarly journals Canopy Height and Above-Ground Biomass Retrieval in Tropical Forests Using Multi-Pass X- and C-Band Pol-InSAR Data

2019 ◽  
Vol 11 (18) ◽  
pp. 2105 ◽  
Author(s):  
Berninger ◽  
Lohberger ◽  
Zhang ◽  
Siegert
Keyword(s):  
High Resolution ◽  
Tropical Forests ◽  
Forest Degradation ◽  
Canopy Height ◽  
Carbon Accounting ◽  
Lidar Data ◽  
Above Ground Biomass ◽  
High Resolution Data ◽  
Ground Biomass ◽  
Resolution Data

Globally available high-resolution information about canopy height and AGB is important for carbon accounting. The present study showed that Pol-InSAR data from TS-X and RS-2 could be used together with field inventories and high-resolution data such as drone or LiDAR data to support the carbon accounting in the context of REDD+ (Reducing Emissions from Deforestation and Forest Degradation) projects.

scholarly journals Estimation of Above-Ground Biomass of a Tropical Forest in Northern Borneo Using High-resolution Satellite Image

2014 ◽  
Vol 30 (2) ◽  
pp. 233-242 ◽  
Author(s):  
Mui-How Phua ◽  
Zia-Yiing Ling ◽  
Wilson Wong ◽  
Alexius Korom ◽  
Berhaman Ahmad ◽  
...  
Keyword(s):  
High Resolution ◽  
Tropical Forest ◽  
Satellite Image ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
High Resolution Satellite Image

ESTIMATION OF ABOVE GROUND BIOMASS OF THE THREE SITES (GRAZED SITE, PROTECTED SITE AND SEED SOWN SITE) FOR COMPARING THEIR PRODUCTIVITY IN KASHMIR VALLEY

2017 ◽  
Vol 23 (2) ◽  
Author(s):  
AFSHAN ANJUM BABA ◽  
SYED NASEEM UL-ZAFAR GEELANI ◽  
ISHRAT SALEEM ◽  
MOHIT HUSAIN ◽  
PERVEZ AHMAD KHAN ◽  
...  
Keyword(s):  
Protected Areas ◽  
Aboveground Biomass ◽  
Plant Biomass ◽  
Summer Season ◽  
Above Ground Biomass ◽  
Spring Season ◽  
Kashmir Valley ◽  
Ground Biomass ◽  
Maximum Value ◽  
Protected Site

The plant biomass for protected areas was maximum in summer (1221.56 g/m2) and minimum in winter (290.62 g/m2) as against grazed areas having maximum value 590.81 g/m2 in autumn and minimum 183.75 g/m2 in winter. Study revealed that at Protected site (Kanidajan) the above ground biomass ranged was from a minimum (1.11 t ha-1) in the spring season to a maximum (4.58 t ha-1) in the summer season while at Grazed site (Yousmarag), the aboveground biomass varied from a minimum (0.54 t ha-1) in the spring season to a maximum of 1.48 t ha-1 in summer seasonandat Seed sown site (Badipora), the lowest value of aboveground biomass obtained was 4.46 t ha-1 in spring while as the highest (7.98 t ha-1) was obtained in summer.

High-resolution sidescan-sonar imagery of the Manchas Interiores-Manchas Exteriores coral reef complex, Mayaguez, Puerto Rico

1992 ◽  
Author(s):  
William C. Schwab ◽  
R.M. Webb ◽  
W.W. Danforth ◽  
T.F. O'Brien ◽  
B.J. Irwin
Keyword(s):  
Puerto Rico ◽  
Coral Reef ◽  
High Resolution ◽  
Sidescan Sonar ◽  
Reef Complex
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