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Mangrove Forests Mapping in the Southern Part of Japan Using Landsat ETM+ with DEM
2013
Journal of Geographic Information System
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A regional map of mangrove forests was produced for six islands located in the southern part of Japan by integrating the spectral analyses of Landsat Enhanced Thematic Mapper plus (ETM+) images with a ...
The integration of spectral analyses with topographic data has clearly separated the mangrove forests from other vegetation. ...
Despite the fact that most of the land areas were less than 1 km 2 ( Table 3 ) with the exception of Iriomote Island, the spectral analysis of Landsat images together with the DEM data were able to detect ...
doi:10.4236/jgis.2013.54035
fatcat:flojnpoqunglvjndwajbwofdp4
A Review of Remote Sensing Approaches for Monitoring Blue Carbon Ecosystems: Mangroves, Seagrassesand Salt Marshes during 2010–2018
2019
Sensors
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Our review showed that optical imagery, such as multispectral and hyper-spectral data, is the most common for mapping BC ecosystems, while the Landsat time-series are the most widely-used data for monitoring ...
We investigate the limitations of current studies and suggest several key aspects for future applications of remote sensing combined with state-of-the-art machine learning techniques for mapping coastal ...
MLC
Landsat TM and ETM+
Southern Peninsular Malaysia
[66]
1989-2014
2015
OBIA
Landsat TM and ETM+
Matang Mangrove Forest Reserve,
Malaysia
[67]
1988-2013
2015
CART
Landsat TM, ETM+, and ...
doi:10.3390/s19081933
fatcat:t53hoaydurannhsmoxqnqjsnea
A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform
2017
ISPRS journal of photogrammetry and remote sensing (Print)
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The resultant mangrove forest maps are likely to be useful for the sustainable management and ecological assessments of mangrove forests in China. Ó ...
The resultant mangrove forest map of China at 30 m spatial resolution has an overall/users/producer's accuracy greater than 95% when validated with ground reference data. ...
We thank the U.S Geological Survey (USGS) EROS Data Center, European Space Agency (ESA), Global Change Research Data publishing & Repository, Ocean Data Viewer for their data sources, and Google for their ...
doi:10.1016/j.isprsjprs.2017.07.011
fatcat:6ahiab552jgbpk7cgfuf3rbmqi
Evaluating the Effectiveness of Conservation on Mangroves: A Remote Sensing-Based Comparison for Two Adjacent Protected Areas in Shenzhen and Hong Kong, China
2016
Remote Sensing
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Although the coarse spatial resolution of the Landsat data is actually not well suited for species-level mapping, these data were adaptive for applying dynamics studies [21] . ...
Traditional mapping methods consisting of visual-interpretation analyses and on-screen digitizing were used extensively to map mangrove forests. ...
For
Data Preparation In this study, multispectral Landsat images with a moderate resolution of 30 m/60 m were chosen to monitor long-term changes in the MPMNR and FMNNR mangrove forests. ...
doi:10.3390/rs8080627
fatcat:6ltiqd3dabeohjrdb3nmpl3ucy
A Review of Wetland Remote Sensing
2017
Sensors
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This study also discusses the advantage of each sensor for wetland research. ...
Wetland research themes reviewed in this paper include wetland classification, habitat or biodiversity, biomass estimation, plant leaf chemistry, water quality, mangrove forest, and sea level rise. ...
Forest Height LiDAR data have been successfully used in mapping the elevation of forest ecosystems using the advantage of obtaining an accurate DEM. ...
doi:10.3390/s17040777
pmid:28379174
pmcid:PMC5422050
fatcat:ddyxyf44o5ejjnnjwyjp7kjyqy
GEOSPATIAL INFORMATION ON LAND USE/LAND COVER OF THE COASTLINE ENVIRONMENT IN AKWA IBOM STATE BETWEEN 1986 AND 2018
2020
International Journal of Advanced Academic Research
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Landsat TM of 1986, Enhance Thematic Mapper plus (ETM+) of 2003, and the Operational Land Imager (OLI) of 2018 data were used for this study. ...
The scenario was different with regards to Forested Area, as increase was observed between 1986 and 2003 and decrease between 2003 and 2018, which may be attributed to inconsistent environmental policies ...
Data used for this included Landsat TM images of 1986 and Landsat ETM+ of 2003 both covering the Niger Delta area of Nigeria. ...
doi:10.46654/ij.24889849.e6122
fatcat:j3feawtnlnh5nk7lkmqaqmukxm
Remote Sensing of Mangrove Ecosystems: A Review
2011
Remote Sensing
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The aim of this review paper is to provide a comprehensive overview and sound summary of all of the work undertaken, addressing the variety of remotely sensed data applied for mangrove ecosystem mapping ...
, as well as the numerous methods and techniques used for data analyses, and to further discuss their potential and limitations. ...
Acknowledgements We thank the International Bureau, IB, of the German Ministry of Education and Science, BMBF, for funding the RICEMAN project in Vietnam. ...
doi:10.3390/rs3050878
fatcat:y7ubgf54yreund2rykvvapjx2u
Madagascar's Mangroves: Quantifying Nation-Wide and Ecosystem Specific Dynamics, and Detailed Contemporary Mapping of Distinct Ecosystems
2016
Remote Sensing
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Given the limitations of national-level maps for certain localized applications (e.g., carbon stock inventories), building on two previous studies for AAB and MHJ, we employ Landsat data to produce detailed ...
and MHJ [25, 61] and employ Landsat data to produce detailed, contemporary, maps of TMD and BdA. ...
Landsat data to map forest cover, including mangroves, for 1973, 1990 and 2000. ...
doi:10.3390/rs8020106
fatcat:irn5gfhacvfq7dqekxuzdjak5u
Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges
2019
Remote Sensing
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We see several key future directions for the potential use of remote sensing techniques combined with machine learning techniques for mapping mangrove areas and species, and evaluating their biomass and ...
This review provides an overview of the techniques that are currently being used to map various attributes of mangroves, summarizes the studies that have been undertaken since 2010 on a variety of remote ...
The APC was funded by the RIKEN Center for Advanced Intelligent Project (AIP), Japan.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs11030230
fatcat:xgxftojh5vdfhgkpqcwehgbkwa
Remote Sensing-Based Research for Monitoring Progress towards SDG 15 in Bangladesh: A Review
2020
Remote Sensing
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We developed several search keywords and finally selected 53 articles for review. We discussed the topical and methodological trends of current remote-sensing works. ...
Some of the SDGs are expected to be achieved by 2020, while others by 2030. Among the 17 SDGs, SDG 15 is particularly dedicated to environmental resources (e.g., forest, wetland, land). ...
Spectral confusion due to coarse spatial resolution as well as use of training samples form paper-based maps seem to have impacted the classification accuracy of older images. 2000
Landsat ETM+
ERS-2 ...
doi:10.3390/rs12040691
fatcat:jicxonibbzhmpmfjeyog6jtojy
Assessing the Resilience of Coastal Wetlands to Extreme Hydrologic Events Using Vegetation Indices: A Review
2018
Remote Sensing
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We synthesize these concepts in the context of remote sensing as the primary assessment tool with focus on derived vegetation indices to monitor CWs at regional and global scales. ...
Coastal wetlands (CWs) offer numerous imperative functions that support a diverse array of life forms that are poorly adapted for other environments and provide an economic base for human communities. ...
Acknowledgments: A.S. acknowledges support from Tsinghua University and the Donors of the American Chemical Society Petroleum Research Fund. The data presented in this paper is publicly available. ...
doi:10.3390/rs10091390
fatcat:kkvoba4mcfhhzp2l4tea74dkdy
Quantifying Tropical Dry Forest Type and Succession: Substantial Improvement with LiDAR
2012
Biotropica
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The best result was obtained when combining LiDAR-derived metrics of canopy structure and topography, and adding Landsat spectral data did not improve the classification. ...
We compared the LiDARbased results with classifications made from commonly used remote sensing data, including Landsat satellite imagery and radar-based topographic data. ...
In addition, we detected no enhanced value for classifying forest types in Guánica after integrating Landsat with LiDAR data. ...
doi:10.1111/j.1744-7429.2012.00904.x
fatcat:4n2qthd2xvgqzb3qf2rufmgxfy
Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh
2020
Forests
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Overdependence on and exploitation of forest resources have significantly transformed the natural reserve forest of Sundarban, which shares the largest mangrove territory in the world, into a great degradation ...
Therefore, by observing the GFD, through spatial forest health quality and forest degradation mapping and assessment, the study suggests a few policies that require the immediate attention of forest policy-makers ...
Acknowledgments: The authors give sincere thanks to the USGS EarthExplorer committee for freely providing Landsat 5 TM, 7 ETM and 8 OLI images from their archive. ...
doi:10.3390/f11091016
fatcat:fk5bib6mfje33d2y6z73jxhceq
Assessment of Land Use/Land Cover Change and Morphometric Parameters in the Keta Lagoon Complex Ramsar Site, Ghana
2021
Water
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(ASTER) digital elevation model (DEM) data and the spatial analyst tools in GIS software. ...
The trend of the observed changes could invariably affect the ecological integrity of the landscape, hence suggesting the need for immediate preparation and implementation of marine and coastal spatial ...
The founding sponsors, however, had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript and in the decision to publish the results ...
doi:10.3390/w13182537
fatcat:5osgbwnw6zbnbhyfvspq6wt2ia
Developing Ecosystem Maps Using Eco-Geological Information for the Sustainable Management of Natural Resources
2016
Open Journal of Ecology
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Landsat ETM+ images, ASTER Digital Elevation Model (DEM) data, and digitized soil and geological data were integrated to develop a map of the types of ecosystem for 2005. ...
sandstone forest, upper dipterocarp quartz forest, and mangrove forest are representing approximately 6.4%, 4.6%, 3% and 2.6% of the total land area respectively. ...
Acknowledgements We acknowledge the Ministry of Science Technology and Innovation, Malaysia for funding this research through the Science Fund 04-01-02-SF0378. ...
doi:10.4236/oje.2016.66033
fatcat:yrq7y55vgrbrfopdjzpvxocbna
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