LANDSAT 9 IMAGERY BASED MANGROVE FOREST MAPPING USING MAXIMUM LIKELIHOOD CLASSIFIER AND SUPPORT VECTOR MACHINE ALGORITHM DOI Open Access
Andrie Ridzki Prasetyo, Niechi Valentino, Hasyyati Shabrina

et al.

AGROTEKSOS Agronomi Teknologi dan Sosial Ekonomi Pertanian, Journal Year: 2023, Volume and Issue: 33(3), P. 803 - 803

Published: Dec. 4, 2023

The successful launch of Landsat 9 in 2021 emphasizes the commitment to continuity mission provide global medium resolution satellite records. benefit availability dataset is extraction information related mangrove forest cover through mapping, especially Gili Lawang. main challenge mapping selecting a classification method that provides most accurate results. This article aims explore use Maximum Likelihood Classifier (MLC) and Support Vector Machine (SVM) algorithms context using imagery on two show differences detecting area mangrove, non-mangrove water bodies, respectively for SVM 371.89 ha, 58.11 3.73 ha; while MLC algorithm 328.88 98.41 6.45 ha. identifies objects at outer boundary Lawang, same as due influence training created low separability. has better accuracy with Kappa statistic 0.85 compared value 0.73. Keywords: 9, Mangrove, Machine,

Language: Английский

Biodiversidad de árboles de mangle en el manglar de Puerto Pizarro, Tumbes, Perú DOI Creative Commons
Marco Zapata-Cruz, Ramón García-Seminario, Auberto Hidalgo Mogollón

et al.

Manglar, Journal Year: 2024, Volume and Issue: 21(1), P. 77 - 85

Published: April 2, 2024

El objetivo de la investigación fue determinar diversidad alfa y beta los árboles mangle en el manglar Tumbes. área del se dividió tres zonas: A, B C, ellas tomaron 41 puntos muestreo (PM). Se contaron midieron determinaron índices alfa: Shannon-Wiener (H’), Simpson (DS) Pielou (J’), así como similitud PM. La determinó con índices: Jackard (IJ) cuantitativo Sorensen (S). que baja (H’=1,0260, DS=0,6158 J’=0,9339), siendo zona A menor (H’=0,3048, DS=0,8531 J’=0,2774), por su impacto antrópico dominio Rhizophora sobre las otras especies, observó PM fueron muy similares dentro cada zona, A. evaluada mediante IJ 1, indicando especies no cambia entre zonas, tanto índice S mostró hay un mayor cambio restantes zonas. Estos resultados pueden permitir a autoridades locales regionales tomar decisiones fin poder proteger dicho manglar. Por otro lado, también sería conveniente realizar para alteración biodiversidad mangles pueda tener organismos habitan este

Citations

0

Investigating the Impact of Climate and Land Use Changes on Mangrove Ecosystems: A Bibliometric Analysis from 2013 to 2023 DOI
Aulia Rahim, Tri Retnaningsih Soeprobowati, Thomas Triadi Putranto

et al.

Journal of Coastal Research, Journal Year: 2024, Volume and Issue: 40(4)

Published: July 1, 2024

Rahim, A.; Soeprobowati, T.R.; Putranto, T.T.; Hadiyanto, H., and Alfalah, M.H., 2024. Investigating the impact of climate land use changes on mangrove ecosystems: A bibliometric analysis from 2013 to 2023. Journal Coastal Research, 40(4), 768–778. Charlotte (North Carolina), ISSN 0749-0208. Mangroves are essential stability coastal regions, especially when facing threat change. However, deforestation, changes, rising sea levels destroy forests. Based analysis, this paper aims gain insight into mangroves. By searching Scopus, 534 pieces literature 2023 were found, they analyzed based information article metadata. Trends hotspots research explored using VOSviewer software. The results a network co-occurrence revealed that mangroves, change, blue carbon, wetlands represent most popular central areas study. show countries with greatest number publications mangroves United States, Australia, India, Indonesia, China. findings remote sensing geographic systems (GIS) recently used technologies enhance field ecosystem monitoring in research. Maintaining increasing carbon sinks through sustainable management ecosystems have been potential priority change development. This highlights trends over past 10 years. It identifies require further investment promote future collaboration.

Language: Английский

Citations

0

Isolation of Cellulolytic Bacillus sp. from the Viviparous Seedling Hypocotyls of Red Mangrove – Rhizophora mucronata Lam. DOI Creative Commons

K Nidhina,

R.M. Ayshommabi,

Tomson Mani

et al.

Journal of Pure and Applied Microbiology, Journal Year: 2024, Volume and Issue: 18(3), P. 1515 - 1523

Published: Aug. 23, 2024

Mangroves are one of the world’s most unique tropical coastal ecosystems. They a rich repository biological wealth, including specially adapted flora and fauna. The microbiome component this ecosystem is fascinating world that yet to be fully explored for its functional ecological inter-relationships with hosts. mangrove hidden treasure microbial diversity, without which biology incomplete. In present study, isolation cellulase-producing, endophytic Bacillus sp. from hypocotyl region viviparous seedlings described. This study urges us look into diversity propagules, by presenting glimpse member endospheric hypocotyls.

Language: Английский

Citations

0

Morpho-physiological and molecular responses of an ecologically important mangrove Kandelia candel (L.) Druce under salinity stress DOI
Malini Bhattacharyya, Suraj Prasannakumari Meera, Ashifa Nizam

et al.

Journal of Plant Biochemistry and Biotechnology, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 30, 2024

Language: Английский

Citations

0

Analysis of Mangrove Forest Cover in Bontang City of East Kalimantan Province Using Normalized Difference Vegetation Index DOI Open Access

Dyah Widyasasi,

Karyati,

Kiswanto Kiswanto

et al.

IOP Conference Series Earth and Environmental Science, Journal Year: 2024, Volume and Issue: 1430(1), P. 012020 - 012020

Published: Dec. 1, 2024

Abstract Mangrove ecosystems, commonly found in tropical states like Indonesia, are famous for their robust root systems that facilitate survival tidal habitats. Notwithstanding the importance and variety of mangroves, some 637,000 hectares, or 10-33 percent Indonesia’s total mangrove area, have seen degradation alteration recent decades. The development effective forest management strategies requires backing precise data information. This research uses geographic information remote sensing technologies to delineate cover according stand density. site was chosen Bontang City, East Kalimantan Province, analysis Sentinel 2 satellite images via Normalized Difference Vegetation Index method. findings indicated three NDVI classifications representing vegetation density: low density including 72,039 hectares (3%), medium covering 209,044 (9%), high spanning 2,119,287 (88%). study assists policymakers when creating sustainable restoration forests based on

Language: Английский

Citations

0

Air Temperature and Relative Humidity Analysis in a Mangrove Ecosystem Area in the Bahía De Panamá (Panama Bay) Wetland DOI Open Access

Carlos Eduardo Guerra Sosa,

Reinhardt Pinzón

Published: Aug. 22, 2023

Panama possesses multiple wetlands designated as protected areas and zones of internationally recognized importance, one amongst them, the Bahía de Panamá wetland Ramsar site, which represents approximately 21% national mangrove surface coverage. Due to major ecological economic relevance ecosystems their vulnerability effects a changing climate it is considered necessary perform in situ studies that evaluate changes sensitive meteorological parameters. This research was carried out with objective measuring air temperature relative humidity values section Bay for 2017-2018 period. section, neighboring urban development projects, houses since year 2015 first tower determining eddy covariance micrometeorological parameters forests Panama. We determined monthly yearly mean studied variables correlation between them use Pearson’s coefficient. Results show both still remain at tolerable levels this type ecosystems, years having very similar annual temperatures (27.47 ± 0.32°C 2017 27.48 0.67°C 2018) 2018, being 85.35%.

Language: Английский

Citations

1

Text Mining of Wood Science Research Published in Korean and Japanese Journals DOI Creative Commons
Eun‐Suk Jang

Journal of the Korean Wood Science and Technology, Journal Year: 2023, Volume and Issue: 51(6), P. 458 - 469

Published: Nov. 1, 2023

Text mining techniques provide valuable insights into research information across various fields. In this study, text was used to identify trends in wood science from 2012 2022, with a focus on representative journals published Korea and Japan. Abstracts Journal of the Korean Wood Science Technology (JKWST, 785 articles) (JWS, 812 obtained SCOPUS database were analyzed terms word frequency (specifically, term frequency-inverse document frequency) co-occurrence network analysis. Both showed significant occurrence words related physical mechanical properties wood. Furthermore, species native each country their respective timber industries frequently appeared both journals. CLT common keyword engineering materials addition, keywords “MDF,” “MUF,” “GFRP” ranked top 50 Korea. Research anatomy inferred be more active Japan than Co-occurrence analysis that structural characteristics organically materials.

Language: Английский

Citations

1

Analisis Indeks Vegetasi dan Perancangan Sistem Monitoring Kawasan Ekowisata Mangrove Berbasis Hyper Spectral of Remote Sensing dan Design Thinking Framework DOI Creative Commons
Yerik Afrianto Singgalen

Journal of Information System Research (JOSH), Journal Year: 2023, Volume and Issue: 5(1), P. 1 - 13

Published: Oct. 22, 2023

One of the challenges in decision-making for determining direction mangrove ecotourism development policies and programs on Tagalaya Island is availability databases at each observation station remote sensing models used to identify forest density. This research offers idea combining hyperspectral method with information system design thinking framework. Meanwhile, location this area Island, North Halmahera Regency, Maluku Province, Indonesia. The findings study demonstrate need use locate evaluate spatial data, particularly index values based NDVI station. first second stations are shown be included unusual group by computation results 2023 raster data Island. third also medium category. monitoring region a solution database challenge deciding activities (SIMOKE Tagalaya). Thus, problems solutions encountered enhancing program areas become relevant contextual when applying using

Language: Английский

Citations

1

LANDSAT 9 IMAGERY BASED MANGROVE FOREST MAPPING USING MAXIMUM LIKELIHOOD CLASSIFIER AND SUPPORT VECTOR MACHINE ALGORITHM DOI Open Access
Andrie Ridzki Prasetyo, Niechi Valentino, Hasyyati Shabrina

et al.

AGROTEKSOS Agronomi Teknologi dan Sosial Ekonomi Pertanian, Journal Year: 2023, Volume and Issue: 33(3), P. 803 - 803

Published: Dec. 4, 2023

The successful launch of Landsat 9 in 2021 emphasizes the commitment to continuity mission provide global medium resolution satellite records. benefit availability dataset is extraction information related mangrove forest cover through mapping, especially Gili Lawang. main challenge mapping selecting a classification method that provides most accurate results. This article aims explore use Maximum Likelihood Classifier (MLC) and Support Vector Machine (SVM) algorithms context using imagery on two show differences detecting area mangrove, non-mangrove water bodies, respectively for SVM 371.89 ha, 58.11 3.73 ha; while MLC algorithm 328.88 98.41 6.45 ha. identifies objects at outer boundary Lawang, same as due influence training created low separability. has better accuracy with Kappa statistic 0.85 compared value 0.73. Keywords: 9, Mangrove, Machine,

Language: Английский

Citations

1