scholarly journals The influence of altitude and management on carbon stock quantities in rungwe forest, southern highland of Tanzania

2012 ◽  
Vol 02 (04) ◽  
pp. 214-221 ◽  
Author(s):  
B. Mwakisunga ◽  
A. E. Majule
Keyword(s):  
Carbon Stock ◽  
Southern Highland

Estimation of Carbon Stock and Uptake for Larix kaempferi Lamb.

2016 ◽  
Vol 7 (4) ◽  
pp. 499 ◽  
Author(s):  
Jin-Taek Kang ◽  
Yeong-Mo Son ◽  
Jong-Su Yim ◽  
Ju-Hyeon Jeon
Keyword(s):  
Carbon Stock ◽  
Larix Kaempferi

Assessment of Carbon Stock and Uptake by Estimation of Stem Taper Equation for Pinus densiflora in Korea

2017 ◽  
Vol 8 (4) ◽  
pp. 415-424 ◽  
Author(s):  
Jin-Taek Kang ◽  
Yeong-Mo Son ◽  
Ju-Hyeon Jeon ◽  
Sun-Jeoung Lee
Keyword(s):  
Carbon Stock ◽  
Pinus Densiflora ◽  
Stem Taper ◽  
Taper Equation

Comparative Study of Sequestered Carbon Stock of Different Species at Sindh Madressatul Islam University Karachi, Sindh, Pakistan

2019 ◽  
Vol 51 (01) ◽  
pp. 91-96
Author(s):  
M. A. QURESHI ◽  
A. M. PIRZADA ◽  
M. M. QURESHI ◽  
N. A. SAMOON ◽  
M. H. ZUBERI ◽  
...  
Keyword(s):  
Comparative Study ◽  
Carbon Stock

Die weltweite Bedeutung von permanenten Stichproben im Wandel der Informationsbedürfnisse: das Beispiel der Kohlenstoffinventuren | The global meaning of permanent sampling in keeping with the need for information: the example of carbon stock inventories

2003 ◽  
Vol 154 (3-4) ◽  
pp. 122-125 ◽  
Author(s):  
Michael Köhl
Keyword(s):  
Carbon Stock ◽  
Information Needs ◽  
Permanent Plots ◽  
Timber Production ◽  
Theoretical Concepts ◽  
Multiple Functions ◽  
Goods And Services ◽  
Global Meaning ◽  
Ideal Tool ◽  
Flexible Instruments

Permanent sampling designs utilize permanent plots and observations on successive occasions and proven to be an ideal tool for providing information on the sustainability of timber production. Are permanent sampling designs an adequate instrument to satisfy information needs concerning the sustainability of the multiple functions of forests? The example of carbon stock inventories is selected to demonstrate that permanent sampling designs are flexible instruments for inventorying and monitoring forests. The theoretical concepts of permanent samples can easily be adapted to new attributes and allow for providing a wide scope of information on wood and non-wood goods and services of forests.

Soil carbon stock estimations: methods and a case study of the Maranhão State, Brazil

2021 ◽  
Author(s):  
Telmo José Mendes ◽  
Diego Silva Siqueira ◽  
Eduardo Barretto de Figueiredo ◽  
Ricardo de Oliveira Bordonal ◽  
Mara Regina Moitinho ◽  
...  
Keyword(s):  
Soil Carbon ◽  
Carbon Stock ◽  
Soil Carbon Stock

scholarly journals Comparison of Capability of SAR and Optical Data in Mapping Forest above Ground Biomass Based on Machine Learning

2020 ◽  
Vol 5 (1) ◽  
pp. 13
Author(s):  
Negar Tavasoli ◽  
Hossein Arefi
Keyword(s):  
Machine Learning ◽  
Carbon Stock ◽  
Vegetation Indices ◽  
Forest Biomass ◽  
Principal Component ◽  
Optical Data ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Texture Characteristics ◽  
Sentinel 2

Assessment of forest above ground biomass (AGB) is critical for managing forest and understanding the role of forest as source of carbon fluxes. Recently, satellite remote sensing products offer the chance to map forest biomass and carbon stock. The present study focuses on comparing the potential use of combination of ALOSPALSAR and Sentinel-1 SAR data, with Sentinel-2 optical data to estimate above ground biomass and carbon stock using Genetic-Random forest machine learning (GA-RF) algorithm. Polarimetric decompositions, texture characteristics and backscatter coefficients of ALOSPALSAR and Sentinel-1, and vegetation indices, tasseled cap, texture parameters and principal component analysis (PCA) of Sentinel-2 based on measured AGB samples were used to estimate biomass. The overall coefficient (R2) of AGB modelling using combination of ALOSPALSAR and Sentinel-1 data, and Sentinel-2 data were respectively 0.70 and 0.62. The result showed that Combining ALOSPALSAR and Sentinel-1 data to predict AGB by using GA-RF model performed better than Sentinel-2 data.

scholarly journals Carbon Stock of European Beech Forest; A Case at M. Pizzalto, Italy

2012 ◽  
Vol 1 ◽  
pp. 159-168 ◽  
Author(s):  
Aida Taghavi Bayat ◽  
Hein van Gils ◽  
Michael Weir
Keyword(s):  
Carbon Stock ◽  
European Beech ◽  
Beech Forest
Sign in / Sign up

Export Citation Format

Share Document