CARBON STOCK ESTIMATION OF MANGROVE VEGETATION USING REMOTE SENSING IN PERANCAK ESTUARY, JEMBRANA DISTRICT, BALI

Mangrove vegetation is one of the forest ecosystems that offers a potential of substantial greenhouse gases (GHG) emission mitigation, due to its ability to sink the amount of CO2 in the atmosphere through the photosynthesis process. Mangroves have been providing multiple benefits either as the source of food, the habitat of wildlife, the coastline protectors as well as the CO2 absorber, higher than other forest types. To explore the role of mangrove vegetation in sequestering the carbon stock, the study on the use of remotely sensed data in estimating carbon stock was applied. This paper describes an examination of the use of remote sensing data particularly Landsat-data with the main objective to estimate carbon stock of mangrove vegetation in Perancak Estuary, Jembrana, Bali. The carbon stock was estimated by analyzing the relationship between NDVI, Above Ground Biomass (AGB) and Below Ground Biomass (BGB). The total carbon stock was obtained by multiplying the total biomass with the carbon organic value of 0.47. The study results show that the total accumulated biomass obtained from remote sensing data in Perancak Estuary in 2015 is about 47.20±25.03 ton ha-1 with total carbon stock of about 22.18±11.76 tonC ha-1and CO2 sequestration 81.41±43.18 tonC ha-1.

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Carbon stock estimation and mapping of mangrove forest using ALOS-2 PALSAR-2 in Benoa Bay Bali, Indonesia

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/944/1/012044 ◽

2021 ◽

Vol 944 (1) ◽

pp. 012044

Author(s):

I G A I Mahasani ◽

T Osawa ◽

I W S Adnyana ◽

A A M A P Suardana ◽

Chonnaniyah

Keyword(s):

Carbon Dioxide ◽

Carbon Stock ◽

Carbon Fixation ◽

Remote Sensing Data ◽

Primary Objective ◽

Total Carbon ◽

Total Biomass ◽

Mangrove Forests ◽

Ground Biomass ◽

Carbon Dioxide Co2

Abstract Mangrove forests in tropics coastlines area play an essential role in carbon fixation and carbon storage. Mangrove forests in coastal areas are very effective and efficient in reducing the concentration of carbon dioxide (CO2) in the atmosphere because mangroves can absorb CO2 through photosynthesis by diffusion through stomata and then store carbon in the form of biomass. With the lack of efforts to manage mangrove forests, it needs to be developed so that forest functions can be utilized sustainably. This paper describes examining the use of remote sensing data, particularly dual-polarization ALOS-2 PALSAR-2 data, with the primary objective to estimate the carbon stock of mangrove forests in Benoa Bay, Bali. The carbon stock was estimated by analyzing HV Polarization, Above Ground Biomass (AGB), and ground biomass (BGB). The total carbon stock was obtained by multiplying the total biomass with the organic carbon value of 0.47. The potential carbon stock in the mangrove Benoa Bay area is 209,027.28 ton C to absorb carbon dioxide (CO2) of 767,130.11 ton CO2 Sequestration same with 3.87 X 1011 bottles in 2015 and 204.422,59 ton C to absorb carbon dioxide (CO2) of 750.230,93 ton CO2 Sequestration same with 3.79 x 1011 bottles in 2020.

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Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data

Forests ◽

10.3390/f12060692 ◽

2021 ◽

Vol 12 (6) ◽

pp. 692

Author(s):

MD Abdul Mueed Choudhury ◽

Ernesto Marcheggiani ◽

Andrea Galli ◽

Giuseppe Modica ◽

Ben Somers

Keyword(s):

Remote Sensing ◽

Urban Area ◽

Tree Species ◽

Carbon Stock ◽

Dominant Species ◽

Remote Sensing Data ◽

Data Sources ◽

Lidar Data ◽

Urban Tree ◽

Sensing Data

Currently, the worsening impacts of urbanizations have been impelled to the importance of monitoring and management of existing urban trees, securing sustainable use of the available green spaces. Urban tree species identification and evaluation of their roles in atmospheric Carbon Stock (CS) are still among the prime concerns for city planners regarding initiating a convenient and easily adaptive urban green planning and management system. A detailed methodology on the urban tree carbon stock calibration and mapping was conducted in the urban area of Brussels, Belgium. A comparative analysis of the mapping outcomes was assessed to define the convenience and efficiency of two different remote sensing data sources, Light Detection and Ranging (LiDAR) and WorldView-3 (WV-3), in a unique urban area. The mapping results were validated against field estimated carbon stocks. At the initial stage, dominant tree species were identified and classified using the high-resolution WorldView3 image, leading to the final carbon stock mapping based on the dominant species. An object-based image analysis approach was employed to attain an overall accuracy (OA) of 71% during the classification of the dominant species. The field estimations of carbon stock for each plot were done utilizing an allometric model based on the field tree dendrometric data. Later based on the correlation among the field data and the variables (i.e., Normalized Difference Vegetation Index, NDVI and Crown Height Model, CHM) extracted from the available remote sensing data, the carbon stock mapping and validation had been done in a GIS environment. The calibrated NDVI and CHM had been used to compute possible carbon stock in either case of the WV-3 image and LiDAR data, respectively. A comparative discussion has been introduced to bring out the issues, especially for the developing countries, where WV-3 data could be a better solution over the hardly available LiDAR data. This study could assist city planners in understanding and deciding the applicability of remote sensing data sources based on their availability and the level of expediency, ensuring a sustainable urban green management system.

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Carbon storage along altitudes in agrisilviculture system- Case study of Devprayag Block, Tehri District, Uttarakhand, India

International Journal of Current Research in Biosciences and Plant Biology ◽

10.20546/ijcrbp.2020.709.004 ◽

2020 ◽

Vol 7 (9) ◽

pp. 29-38

Author(s):

K.K. Vikrant ◽

D.S. Chauhan ◽

R.H. Rizvi

Keyword(s):

Climate Change ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Storage ◽

Carbon Stock ◽

Total Carbon ◽

Total Biomass ◽

Biomass Carbon ◽

Total Carbon Stock ◽

Crop Biomass

Climate change is one of the impending problems that have affected the productivity of agroecosystems which calls for urgent action. Carbon sequestration through agroforestry along altitude in mountainous regions is one of the options to contribute to global climate change mitigation. Three altitudes viz. lower (286-1200m), middle (1200-2000m), and upper (2000-2800m) have been selected in Tehri district. Ten Quadrates (10m × 10 m) were randomly selected from each altitude in agrisilviculture system. At every sampling point, one composite soil sample was taken at 30 cm soil depth for soil organic carbon analysis. For the purpose of woody biomass, Non destructive method and for crop biomass assessment destructive method was employed. Finally, aboveground biomass (AGB), belowground biomass carbon (BGB), Total tree Biomass (TTB), Crop biomass (CB), Total Biomass (TB), Total biomass carbon (TBC), soil organic carbon (SOC), and total carbon stock (TC) status were estimated and variables were compared using one-way analysis of variance (ANOVA).The result indicated that AGB, BGB, TTB, CB , TB, TBC, SOC, and TC varied significantly (p < 0.05) across the altitudes. Results showed that total carbon stock followed the order upper altitude Ëƒ middle altitudes Ëƒ lower altitude. The upper altitude (2000-2800 m) AGB, BGB,TTB, TBC,SOC, and TC stock was estimated as 2.11 Mg ha-1 , 0.52 Mg ha-1, 2.63 Mg ha-1, 2.633 Mg ha-1, 1.18 Mg ha-1 , 26.53 Mg ha-1, 38.48 Mg ha-1 respectively, and significantly higher than the other altitudes. It was concluded that agrisilviculture system hold a high potential for carbon storage at temperate zones. Quercus lucotrichophora, Grewia oppositifolia and Melia azadirach contributed maximum carbon storage which may greatly contribute to the climate resilient green economy strategy and their conservation should be promoted.

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Reprint of: Estimation of forest above-ground biomass using multi-parameter remote sensing data over a cold and arid area

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2012.03.007 ◽

2012 ◽

Vol 17 ◽

pp. 102-110 ◽

Cited By ~ 11

Author(s):

Xin Tian ◽

Zhongbo Su ◽

Erxue Chen ◽

Zengyuan Li ◽

Christiaan van der Tol ◽

...

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Arid Area ◽

Above Ground Biomass ◽

Sensing Data ◽

Ground Biomass

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Assessment and prediction of above-ground biomass in selectively logged forest concessions using field measurements and remote sensing data: Case study in South East Cameroon

Forest Ecology and Management ◽

10.1016/j.foreco.2014.06.018 ◽

2014 ◽

Vol 329 ◽

pp. 177-185 ◽

Cited By ~ 6

Author(s):

Shu Gideon Neba ◽

Markku Kanninen ◽

Richard Eba’a Atyi ◽

Denis Jean Sonwa

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Field Measurements ◽

Above Ground Biomass ◽

Sensing Data ◽

Ground Biomass ◽

Forest Concessions ◽

Logged Forest

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Forest above Ground Biomass Inversion by Fusing GLAS with Optical Remote Sensing Data

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi5040045 ◽

2016 ◽

Vol 5 (4) ◽

pp. 45 ◽

Cited By ~ 5

Author(s):

Xiaohuan Xi ◽

Tingting Han ◽

Cheng Wang ◽

Shezhou Luo ◽

Shaobo Xia ◽

...

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Optical Remote Sensing ◽

Above Ground Biomass ◽

Sensing Data ◽

Ground Biomass

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Carbon stock estimation of mangrove forest in Sulaman Lake Forest Reserve, Sabah, Malaysia

Biodiversitas Journal of Biological Diversity ◽

10.13057/biodiv/d211223 ◽

2020 ◽

Vol 21 (12) ◽

Author(s):

Normah Awang Besar ◽

NURUL SYAKILAH SUHAILI ◽

JIM LIEW JUN FEI ◽

FAUZAN WAJDI SHA’ARI ◽

MUHAMMAD IZZUDDIN IDRIS ◽

...

Keyword(s):

Soil Carbon ◽

Mangrove Forest ◽

Carbon Stock ◽

Total Carbon ◽

Climate Mitigation ◽

Total Biomass ◽

Forest Reserve ◽

Soil Carbon Stock ◽

Stock Estimation ◽

Total Carbon Stock

Abstract. Besar NA, Suhaili NS, Fei JLJ, Sha’ari FW, Idris MI, Hatta SH, Kodoh J. 2020. Carbon stock estimation of Sulaman Lake Forest Reserve in Sabah, Malaysia. Biodiversitas 21: 5657-5664. Mangrove forest has a significant role in sequestering carbon gases from the atmosphere but there are lesser literature has been made on it. This research was conducted to quantify the aboveground, belowground and soil carbon stock in Sulaman Lake Forest Reserve, Sabah, Malaysia. Nine transect lines with 125 m length were established and a circle with 7 m radius was set in every 25 m. Forest inventory was done to get the diameter breast height of standing trees and soil sampling with four different depths (0-15 cm, 15-30 cm, 30-50 cm and 50-100 cm) were taken for soil analysis and bulk density. Allometric equation was used to calculate aboveground and belowground biomass then its carbon stock was estimated as 50% from its total biomass. The result shows the total carbon stock in the study area was 441.72 Mg C ha-1, and soil has the highest value of carbon stock (351.98 ± 11.73 Mg C ha-1) followed by aboveground carbon (67.30 ± 20.55 Mg C ha-1) and belowground carbon (22.44 ± 0.17 Mg C ha-1). This study found that soil carbon stock made up almost 80% of the total carbon stock in the mangrove forest. This ecosystem also shows a higher value of carbon stock compared to other locations hence emphasized the importance of prioritizing a mangrove forest in any climate mitigation efforts.

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