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The Utility of Sentinel-2 Spectral Data in Quantifying Above-Ground Carbon Stock in an Urban Reforested Landscape

Mthembeni Mngadi, John Odindi, Onisimo Mutanga
2021 Remote Sensing  
These findings demonstrate the value and prospects of Sentinel-2 spectral data for predicting carbon stock in reforested urban landscapes.  ...  Hence, this study sought to examine the prospect of Sentinel-2 spectral data in quantifying carbon stock in a reforested urban landscape using the random forest ensemble.  ...  Acknowledgments: The authors would like to acknowledge the DST-NRF SARChI Chair in Land Use Planning and Management at UKZN (Grant No. 84157) for their financial support.  ... 
doi:10.3390/rs13214281 fatcat:uqvt4es2src5dj2y46epuj3pni

Spatial dynamics of aboveground carbon stock in urban green space: a case study of Xi'an, China

ZhengYang Yao, JianJun Liu, XiaoWen Zhao, DongFeng Long, Li Wang
2014 Journal of Arid Land  
Spatial dynamics of aboveground carbon stock in urban green space: a case study  ...  The carbon densities in 2004 and 2010 were 1.62 and 2.77 t/hm 2 , respectively. Precipitation was not an important factor to influence the changes of AGC stock in the urban green space of Xi'an.  ...  We thank Min ZHANG, QiSheng HAN, YanZheng YANG and all the people who helped with the fieldwork and data analysis.  ... 
doi:10.1007/s40333-014-0082-9 fatcat:b7nkgprbf5cp3a3j45lnttwsa4

Mapping Aboveground Biomass and Carbon in Shanghai's Urban Forest Using Landsat ETM+ and Inventory Data

Guangrong Shen, Zijun Wang, Chunjiang Liu, Yunjie Han
2020 Urban Forestry & Urban Greening  
The total carbon stocks in the estimated forest biomass across Shanghai were about 1.5 Tg in 2005 and 2008, and 1.7 Tg in 2011 and 2015, while the associated average FBC density remained at about 17.5  ...  Quantifying the spatiotemporal distribution of forest biomass carbon (FBC) is vital for the management of urban forests in accordance with the rapid urbanization.  ...  Acknowledgment This research was supported by the National Key R&D Program of China (2017YFD0800204) and "Science and Technology Innovation Action Plan of Shanghai, China" enterprise international science  ... 
doi:10.1016/j.ufug.2020.126655 fatcat:6aj6j7p7zvedvo2eq7ugwqh4aa

Estimating Aboveground Biomass and Carbon Stocks in Periurban Andean Secondary Forests Using Very High Resolution Imagery

Nicola Clerici, Kristian Rubiano, Amr Abd-Elrahman, Juan Posada Hoestettler, Francisco Escobedo
2016 Forests  
Overall, the coupling of linear models and the Ratio Vegetation Index produced the most satisfactory results.  ...  Atmospheric and topographic correction proved to be key in improving model fit, especially in high aerosol and rugged terrain such as the Andes.  ...  Acknowledgments: This research work was funded by Grant DGV188 of the Research Fund of the Universidad  ... 
doi:10.3390/f7070138 fatcat:mtuqqpddcfforl3xfngn3bgy6m

Remote Sensing-Based Biomass Estimation [chapter]

José Mauricio Galeana Pizaña, Juan Manuel Núñez Hernández, Nirani Corona Romero
2016 Environmental Applications of Remote Sensing  
In order to identify satellite-derived indices that have correlation with forest structural parameters that are related with carbon storage inventories and forest monitoring, topics that are useful as  ...  We present a case study that explores the capability of canopy fraction cover and digital canopy height model (DCHM) for modeling the spatial distribution of the aboveground biomass of two forests, dominated  ...  Methods Models of aboveground biomass carbon used three sources of data: Forest inventory data from in situ measurements Since aboveground carbon is the amount of carbon stored in aboveground biomass  ... 
doi:10.5772/61813 fatcat:olp4nwuqu5dy7dxlmtpzyt4xde

Carbon stock in forest aboveground biomass – comparison based on Landsat data

Vilém Pechanec, Filip Stržínek, Jan Purkyt, Lenka Štěrbová, Pavel Cudlín
2017 Central European Forestry Journal  
The objective of this study was to verify a possibility of the assessment of carbon stock above all in forest aboveground biomass in the area of Czech Republic based on Landsat data and terrestrial mapping  ...  The results of aboveground carbon stock based on the Landsat 7 ETM+ data did not differ distinctly from the assessment of carbon stock for individual classes of land cover for both vegetation cover of  ...  The method consists in an assessment of aboveground biomass on the base of spectral vegetation index ND45. Assessed biomass is then recounted to carbon stock (kg C per hectar).  ... 
doi:10.1515/forj-2017-0014 fatcat:gib5attnqrbyhmyhv7o3jsuuyu

Land use change modelling using a Markov model and remote sensing

Sathees Kumar, Nisha Radhakrishnan, Samson Mathew
2013 Geomatics, Natural Hazards & Risk  
Afterwards, the carbon stock map was calculated. Landsat series data were acquired to document the spatiotemporal dynamics of green spaces in the study area.  ...  By using a supervised classification algorithm, multi-temporal land use/cover data were extracted from a set of satellite images and the carbon stock time series simulated by using carbon stock maps and  ...  Carbon stock of urban forest in 2018 3.3 Simulate of the carbon stock in time series At the end part, the carbon stock map on 2000, 2005, 2010 and 2015 are simulated by the carbon stock of green space  ... 
doi:10.1080/19475705.2013.795502 fatcat:aspaimseezdchbsrh3qhlzj3py

Estimation of aboveground and belowground carbon stocks in urban freshwater wetlands of Sri Lanka

Deekirikewage Dona Thamali Lushanya Dayathilake, Erandathie Lokupitiya, Vithana Pathirannehelage Indika Sandamali Wijeratne
2020 Carbon Balance and Management  
The current study was undertaken to quantify carbon stocks of two carbon pools: aboveground biomass (AGB) and belowground biomass (BGB).  ...  A combination of field measurements and allometric tree biomass regression models was used in the study.  ...  In addition we thank the participants of this project for their contributions towards data collection in the field.  ... 
doi:10.1186/s13021-020-00152-5 pmid:32876789 pmcid:PMC7469107 fatcat:nnguxx3lobb4tlswx5llsdjbaa

Biomass Estimation Using Satellite-Based Data [chapter]

Patrícia Lourenço
2021 Forest Biomass - From Trees to Energy  
Comprehensive measurements of global forest aboveground biomass (AGB) are crucial information to promote the sustainable management of forests to mitigate climate change and preserve the multiple ecosystem  ...  The integration of multi-sources sensor data with field measurements, using appropriated algorithms to identify the relationship between remote sensing predictors and reference measurements, is important  ...  Acknowledgements This work is funded by the National Funds through FCT -Foundation for Science and Technology under the Project UIDB/05183/2020 and by Programa Operativo de Cooperação Transfronteiriço  ... 
doi:10.5772/intechopen.93603 fatcat:xdij2dyqwjcyzdfzywikogb3fm

High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR [article]

Nico Lang, Konrad Schindler, Jan Dirk Wegner
2021 arXiv   pre-print
the High Carbon Stock (HCS) approach.  ...  We show that these wall-to-wall maps of canopy top height are predictive for classifying HCS forests and degraded areas with an overall accuracy of 86 % and produce a first high carbon stock map for Indonesia  ...  Acknowledgements The project received funding from Barry Callebaut Sourcing AG, as part of a Research Project Agreement. We thank Grant Rosoman for his inputs and comments.  ... 
arXiv:2107.07431v1 fatcat:kdhkboqrlrdpllhn3yo4xnkhri

Remote Estimation of Mangrove Aboveground Carbon Stock at the Species Level Using a Low-Cost Unmanned Aerial Vehicle System

Zhen Li, Qijie Zan, Qiong Yang, Dehuang Zhu, Youjun Chen, Shixiao Yu
2019 Remote Sensing  
Previous research has demonstrated that the relationship between remote sensing derived parameters and aboveground carbon (AGC) stock varies for different species types.  ...  There is ongoing interest in developing remote sensing technology to map and monitor the spatial distribution and carbon stock of mangrove forests.  ...  Acknowledgments: We are grateful to many people who assist in the field survey. Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2019, 11, 1018  ... 
doi:10.3390/rs11091018 fatcat:ofomubsa2fh55ivhlltlj75psm

Near-real time aboveground carbon emissions in Peru

Ovidiu Csillik, Gregory P. Asner, Shijo Joseph
2020 PLoS ONE  
Monitoring aboveground carbon stocks and fluxes from tropical deforestation and forest degradation is important for mitigating climate change and improving forest management.  ...  This study presents the most detailed tracking of aboveground carbon over time, with yearly, quarterly and monthly estimations of emissions using the stock-difference approach and masked by the forest  ...  ACE: Aboveground carbon emissions From the quarterly and monthly deep learning estimates of ACD, we created estimates of ACE by subtracting Q3s of 2017 and 2018 (yearly emissions), each consecutive quarter  ... 
doi:10.1371/journal.pone.0241418 pmid:33137140 fatcat:wdcaoyrqoramrolwk3y2hx4piu

Monitoring tropical forest carbon stocks and emissions using Planet satellite data

Ovidiu Csillik, Pramukta Kumar, Joseph Mascaro, Tara O'Shea, Gregory P. Asner
2019 Scientific Reports  
We developed the first large-scale very high-resolution map of aboveground carbon stocks and emissions for the country of Peru by combining 6.7 million hectares of airborne LiDAR measurements of top-of-canopy  ...  Creating such a cost-effective and spatially explicit indicators of aboveground carbon stocks and emissions for tropical countries will serve as a transformative tool to quantify the climate change mitigation  ...  Acknowledgements This study was supported by a grant from the Erol Foundation. We thank J. Kington and D. Knapp for assistance with the Planet Dove mosaics and LiDAR data, respectively. The  ... 
doi:10.1038/s41598-019-54386-6 pmid:31780757 pmcid:PMC6882785 fatcat:5ealt7ibazhyvpo5lng6ebzcre

Responses of Above- and Belowground Carbon Stocks to Degraded and Recovering Wetlands in the Yellow River Delta

Pengshuai Shao, Hongyan Han, Hongjun Yang, Tian Li, Dongjie Zhang, Jinzhao Ma, Daixiang Duan, Jingkuan Sun
2022 Frontiers in Ecology and Evolution  
In this study, we performed the degraded and recovering wetlands to estimate aboveground C stocks and soil organic C (SOC) stocks at the depth of 1 m in the Yellow River Delta.  ...  The improved soil water, salinity, and nutrient enhance C reservoir, sequestering more C in aboveground vegetation and storing more SOC via photosynthetic C input of plant litter and root exudates in recovering  ...  L., Lokupitiya, E., and Wijeratne, V. P. I. S. (2020). Estimation of aboveground and belowground carbon stocks in urban freshwater wetlands of Sri Lanka.  ... 
doi:10.3389/fevo.2022.856479 fatcat:3brk2ajrjjafdpwhszqqi5pqme

Estimating Carbon Stocks and Sequestration With Their Valuation Under a Changing Land Use Scenario: A Multi-Temporal Research in Abha City, Saudi Arabia

Javed Mallick, Mohammed K. Almesfer, Majed Alsubih, Mohd Ahmed, Nabil Ben Kahla
2022 Frontiers in Ecology and Evolution  
This study intended to estimate the carbon storage and sequestration capabilities using the InVEST model under different land use land cover (LULC) classes in Abha, Saudi Arabia.  ...  Vegetation would get 17,363.7 Mg C/ha during the same period, whereas urban areas would receive 3924.1 Mg C/ha. Approximately 17,000 Mg C/ha would be lost from the vegetation area in future periods.  ...  We did not change any parameters of the structure of the model for simulating the LULC of 2040 without any undesirable consequences.  ... 
doi:10.3389/fevo.2022.905799 fatcat:ehwk2wiokjduledgod7ppo76hi
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