scholarly journals Mangrove Mapping and Above-Ground Biomass Change Detection using Satellite Images in Coastal Areas of Thai Binh Province, Vietnam

2019 ◽  
Vol 3 (2) ◽  
pp. 248 ◽  
Author(s):  
Long Duc Nguyen ◽  
Cuong Trong Nguyen ◽  
Hoa Sy Le ◽  
Bao Quang Tran

Mangroves are recognized as a highly valuable resource due to their provision of multiple ecosystem services. Therefore, mangrove ecosystems mapping and monitoring is a crucial objective, especially for tropical regions. Thai Binh province is one of the most important mangrove ecosystems in Vietnam. The mangrove ecosystem in this province has faced threats of deforestation from urban development, land reclamation, tourism activities, and natural disasters. Recently, to maintain the fundamental functions of the ecosystems, a large mangrove area was planted in Thai Binh. The aim of this research is to detect the change in the mangrove areas and to create an aboveground biomass map for mangrove forests in Thai Binh province. Landsat and Sentinel-2 satellite images from 1998 to 2018 were analysed using the supervised classification method to detect mangrove area change. Mangrove Above-ground Biomass (AGB) was estimated using linear regression between vegetation indices and field AGB survey. The accuracy assessment for the classified images of 1998, 2003 and 2007, 2013 and 2018 are 93%, 86%, 96%, 94% and 91% respectively with kappa of 0.8881, 0.7953, 0.9357, 0.9114 and 0.8761. The mangrove cover in the study area was estimated at 5874.93 ha in 1998. This figure decreased significantly to 4433.85 ha in 2007, before recovery began to take place in the study area, which was estimated at 6587.88 ha in 2018. In 1998, the average AGB in this study area was 22.57 ton/ha, and in 2018 it was 37.74 ton/ha with a standard error of 12.41 ton/ha and the root mean square error (RMSE) was ±12.08 ton/ha.

2016 ◽  
Vol 64 (2) ◽  
pp. 897 ◽  
Author(s):  
Adriana Yepes

<p><strong>Abstract: Tree above-ground biomass allometries for carbon stocks estimation in the Caribbean mangroves in Colombia</strong></p><p>In this study, we analyzed the above ground biomass of the species <em>Rhizophora mangle</em> and <em>Avicennia germinans</em> in the mangrove ecosystem located at Marine Protected Area called in Spanish Distrito de Manejo Integrado (DMI) Cispatá-Tinajones-La Balsa, Caribbean Colombian coast. We harvest 30 individuals of each species in field and built allometric models in order to estimates of aboveground biomass with low levels of uncertainty. Our results indicate that the above ground biomass of mangrove forests in the DMI Colombian Caribbean is the 129.69±20.24Mg/ha, the equivalent to 64.85±10.12MgC/ha. The DMI has an area of 8 570.9ha in mangrove forests, and we estimated the total carbon potential stored is about 555 795.93Mg. Although there are pantropical and national above ground biomass allometric models, most of them do not discriminate mangrove forests, despite being particular ecosystems. The equations generated in this study can be considered as an alternative for the assessment of carbon stocks in above ground biomass of mangrove forests in Colombia, and can be used for analysis at a more detailed scale and they are useful for determinate the potential for carbon storage in mangrove forests like an option for the country in forest conservation and emission reduction by deforestation.</p>


Author(s):  
IGA Indah Mahasani ◽  
Takahiro Osawa ◽  
I Wayan Sandi Adnyana

Mangrove forests are distributed in limited areas around along costlines, but they play important role in carbon fixation and carbon storafe in the tropic areas. Mangrove forests are a transitional ecosystem between land-based oceans, most of which are well-known along the tropic and subtropical coastlines. Mangrove ecosystems have an ecological function as an absorber and storage of carbon in the form of biomass. Remote sensing technology can include data spatially and temporally. This makes it easy to predict the overall extent and carbon stock. So that in the context of sustainable management of mangrove ecosystems it can be utilized to monitor mangrove carbon balance and become the basis for policy development. The objective of this study was to determine the potential above ground biomass model from ALOS-2 PALSAR-2 data in mangrove forests of Benoa Bay, Bali. In this research, the filter used is frost filtering. AGB model was constructesd by using dual-polarization L-band SAR of ALOS-2 PALSAR-2 data and field inventory plots. 40 plots were collected in the field and the allometric equation. The prediction model for aboveground biomass potential based on the ALOS-2 PALSAR-2 image on HV polarization in the mangrove Benoa Bay area, the correlation value (r) of 0.82, the coefficient of determination (R2) of 0.68. Validation model aboveground biomass-based, correlation value (r) of 0.90, the coefficient of determination (R2) of 0.82, and RMSE of ± 39.85. The potential of aboveground biomass and carbon stock in the mangrove Benoa Bay area is 364,241.87 Mg and 171,193.67 Mg C with the ability to absorb carbon dioxide (CO2) of 628,280.81 Mg CO2 Sequestration same with 3 bottles in 2020.Keywords: Mangrove; Aboveground biomass (AGB); HV Polarization; ALOS-2 PALSAR-2.


2020 ◽  
Vol 242 ◽  
pp. 111747 ◽  
Author(s):  
Alejandro Navarro ◽  
Mary Young ◽  
Blake Allan ◽  
Paul Carnell ◽  
Peter Macreadie ◽  
...  

2015 ◽  
Vol 5 (2) ◽  
pp. 77-84
Author(s):  
FARIDAH LESTARI ◽  
CECEP KUSMANA

Lestari F, Kusmana C. 2015. The effect of waste on chlorophyll content of leaves and regeneration of mangrove forest at Angke Kapuk Protection Forest, Jakarta. Bonorowo Wetlands 5: 77-84. Mangrove ecosystem is a transition ecosystem between land and sea. Currently the mangrove forests at Angke Kapuk Protection Forest, North Jakarta has been degraded by large amount waste. In connection with this situation, the forest research was carried out with the aim to consider the effect of waste existence on the chlorophyll content of tree’s leaf and the regeneration of mangrove forests in Angke Kapuk Protection Forest. The results showed that the existence of the waste has no effect on the chlorophyll content of leaves, but it has significant by impact on the regeneration of mangrove forest. This is shown with a density of mangrove seedlings in the less waste-occupied mangrove area is bigger than that of medium and high waste-occupied mangrove areas.


Author(s):  
J. J. Guerra-Santos ◽  
R. M. Cerón ◽  
J. G. Cerón ◽  
A. Alderete-Chávez ◽  
D. L. Damián-Hernández ◽  
...  

2021 ◽  
Vol 6 (2) ◽  
pp. 85
Author(s):  
Eka Yuliawati ◽  
Budi Afriyansyah ◽  
Nova Mujiono

<strong>Mangrove gastropod community in Perpat and Bunting Rivers, Belinyu District, Bangka Regency</strong>. Perpat and Bunting in Bangka Regency have an adequate and natural mangrove ecosystems. However, studies on the structure of the gastropod community in this ecosystem is lacking. This study aimed to discover the structure of the gastropod community in the mangrove ecosystem. This study was carried out from October to November 2019 in riverine mangrove area located in Perpat and Bunting Rivers, District Belinyu, Bangka Regency. Samples were taken from 10 x 10 m plot from six observed stations. A total of 578 individuals of gastropoda were collected, comprised of seven families and 14 species. Number of species ranged from 4 to 9, while number of individuals ranged from 35 to 214. <em>Cerithidea quoyii</em> was a dominant species with 270 individuals (47%) and found in all stations. Gastropods community was in labile condition and prone to environmental change. Species composition of gastropods were similar in both rivers with nine identical species. However, epifaunal species were found separately from arboreal species


2019 ◽  
Vol 3 (1) ◽  
pp. 7
Author(s):  
Zainul Hidayah

Abstract Rapid developments on the coastal regions have become a major thread to mangrove ecosystems. The conversion of mangrove forest into fish ponds, housing and industrial sites make the area of this unique tropical ecosystem decline significantly in the last decade. To prevent further destruction of mangrove ecosystems due to human activities, conservation programs are needed. Therefore, information on mangrove's area as well as their distribution is needed. The main objective of this research was to demonstrate the ability of remote sensing and geographic information technology to provide reliable and accurate data on mangrove forest in Surabaya and thSidoarjo regions. A Landsat TM-5 imagery (acquisition date June 4 , 2009) data was utilized to produce the map. The results showed that in the 2009 period the area of mangrove forest in Surabaya and Sidoarjo was 378.19 Ha and 1236.42 Ha respectively. However, over 73.5% area of mangrove in Surabaya and 43.25% in Surabaya were under critical conditions. Anthropogenic factors and human influence were some of the main factors that cause the condition. Activities such as illegal and uncontrolled logging, conversion of mangrove's area and the lack of people's awareness in the importance of mangrove ecosystems were also problems that lead to the massive damage of mangrove forests.


2021 ◽  
Vol 36 (3) ◽  
pp. 255-271
Author(s):  
Tito Aditya Perdana ◽  
Febrianur Ibnu Fitroh Sukono Putra ◽  
Risanda Alirastra Budiantoro

Introduction/Main Objectives: This study estimates how much economic value will be lost from contact activities within the coastal areas in the research location. Background Problems: The area of Semarang City has flood and tidal problems, the damage to the mangrove forests in Semarang City began with the boom in shrimp farming between 1980 and 1990. Hopefully, this valuation can provide an overview of the current health of the ecosystem and become the basis for a mangrove management strategy in the future. Novelty: The novelty of this study is that it uses a sharper satellite (Image Pleades Resolution 0.5 m) to calculate the mangrove area in the research location. Research Methods: This research uses a total economic valuation, an estimation of the mangrove’s carbon stock and heavy metals, the replacement cost to prevent tidal flooding, and the willingness to pay. Findings/Results: We find that the existing economic value in the study area is very large and should be preserved for conservation. Conclusion: The environment cannot produce something instantly, but it needs to be preserved as a balance to nature.


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