scholarly journals MAPPING AND INDEX VEGETATION ANALYSES OF MANGROVE IN SAPARUA ISLAND, CENTRAL MOLUCCAS

2010 ◽  
Vol 2 (1) ◽  
Author(s):  
Harold J. D. Waas ◽  
Bisman Nababan
Keyword(s):  
Satellite Data ◽  
Coastal Areas ◽  
High Density ◽  
Island Area ◽  
The North ◽  
Vegetation Indexes ◽  
Mangrove Vegetation ◽  
Landsat 7 ◽  
Landsat Satellite ◽  
Very High

2TMapping and index vegetation analyses of mangrove in coastal areas of Saparua Island, Central Moluccas was conducted using Landsat 7/ETM+ satellite data acquired in April to May 2007. The results showed that the distributions of mangrove vegetation were concentrated in the north, south, and west of the region with the area of 218.88 ha (38.26%), 105.12 ha (18.38%), and 248.04 ha (43.36%), respectively. Total area of mangrove vegetation in this island was about 572.04 ha (5.72 kmP2P), or 3.49% of the island area. Vegetation indexes (NDVI) in the north, south, and west of the region were dominated by values of >0.7 (very high density).Keyword: Mangrove, NDVI, Landsat Satellite, Saparua, Central Maluku

scholarly journals MAPPING AND INDEX VEGETATION ANALYSES OF MANGROVE IN SAPARUA ISLAND, CENTRAL MOLUCCAS

2010 ◽  
Vol 2 (1) ◽  
Author(s):  
Harold J. D. Waas ◽  
Bisman Nababan
Keyword(s):  
Satellite Data ◽  
Coastal Areas ◽  
High Density ◽  
Island Area ◽  
The North ◽  
Vegetation Indexes ◽  
Mangrove Vegetation ◽  
Landsat 7 ◽  
Landsat Satellite ◽  
Very High

<p>2TMapping and index vegetation analyses of mangrove in coastal areas of Saparua Island, Central Moluccas was conducted using Landsat 7/ETM+ satellite data acquired in April to May 2007. The results showed that the distributions of mangrove vegetation were concentrated in the north, south, and west of the region with the area of 218.88 ha (38.26%), 105.12 ha (18.38%), and 248.04 ha (43.36%), respectively. Total area of mangrove vegetation in this island was about 572.04 ha (5.72 kmP2P), or 3.49% of the island area. Vegetation indexes (NDVI) in the north, south, and west of the region were dominated by values of &gt;0.7 (very high density).</p><p>Keyword: Mangrove, NDVI, Landsat Satellite, Saparua, Central Maluku</p>

Quantifying water storage within the north of Lake Naivasha using sonar remote sensing and Landsat satellite data

2021 ◽  
Author(s):  
D. Walker ◽  
J.D. Shutler ◽  
E.H.J. Morrison ◽  
D.M. Harper ◽  
J.C.B. Hoedjes ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Data ◽  
Water Storage ◽  
Lake Naivasha ◽  
The North ◽  
Landsat Satellite

scholarly journals Perubahan Luasan Vegetasi Mangrove di Desa Bedono Kecamatan Sayung Kabupaten Demak Tahun 2009 dan 2019 Menggunakan Citra Satelit Landsat

2020 ◽  
Vol 9 (2) ◽  
pp. 131-136
Author(s):  
Wisnu Adjie Pramudito ◽  
Jusup Suprijanto ◽  
Nirwani Soenardjo
Keyword(s):  
Sampling Methods ◽  
Avicennia Marina ◽  
North Coast ◽  
Mangrove Species ◽  
The North ◽  
Mangrove Vegetation ◽  
Avicennia Alba ◽  
Landsat Satellite ◽  
The Village ◽  
Descriptive Method

ABSTRAK: Hutan Mangrove merupakan salah satu ekosistem vegetasi yang berada di wilayah pasang surut di pesisir, pantai dan pulau-pulau kecil. Pantai utara Jawa merupakan salah satu wilayah yang memiliki ekosistem mangrove yang mengalami perubahan cukup signifikan. Pertambahan luasan vegetasi mangrove di desa Bedono dapat diamati dengan menggunakan citra dari satelit landsat. Tujuan dari penelitian ini adalah untuk mengetahui perubahan luas lahan mangrove yang terjadi di kawasan pesisir Desa Bedono, Kecamatan Sayung, kabupaten Demak Tahun 2009 dan 2019. Metode yang diaplikasikan dalam penelitian  dengan menggunakan metode deskriptif eksploratif, metode yang memiliki tujuan yaitu melakukan pemecahan masalah yang digali secara luas tentang sebab-sebab atau hal-hal yang mempengaruhi terjadinya sesuatu berdasarkan fakta-fakta yang terjadi di lapangan. Untuk kegiatan groundcheck menggunakan metode sampling kuadrat yaitu membuat plot berukuran 10x10 m untuk kategori pohon yang di dalamnya terdapat subplot 5x5 m untuk kategori sapling dan 1x1 m untuk kategori seedling. Hasil penelitian menunjukkan pertambahan luas lahan mangrove di Desa Bedono selama rentang waktu tahun 2009 – 2019, pada tahun 2009 sebesar 122.58 ha dan pada tahun 2019 sebesar 197.19 ha . luas vegetasi dalam kurun waktu tersebut mengalami pertambahan luas sebesar 74.76 ha. kerapatan di titik stasiun 1 memiliki kerapatan sebesar 3633 ind/ha, sementara di titik stasiun 2 dan 3 masing masing sebesar 3700 ind/ha dan 3500 ind/ha. Tiga spesies mangrove yang dapat ditemukan di kawasan mangrove desa Bedono adalah Avicennia marina, Avicennia alba, dan Rhizopora mucronata. ABSTRACT: Mangrove forest is one of the vegetation ecosystems in the tidal areas on the coast, beaches and small islands. The north coast of Java is one of the regions that has a significant change in mangrove ecosystems. Changes in the extent of mangrove vegetation in the village of Bedono can be observed using imagery from the Landsat satellite. The purpose of this study was to assess changes occurred mangrove vegetation in coastal areas Bedono Village, District Sayung, Demak district in 2009 and 2019. The method applied in research using exploratory descriptive method, a method which has the goal of solving the problem are explored extensively on the causes or matters affecting the occurrence of something based on facts on the ground. For groundcheck activity using sampling methods squares that make plots measuring 10x10 m for the category tree in which there are subplots 5x5 m for category sampling and 1x1 m for category seedling. The results showed an increase in the area of mangrove land in the village of Bedono during the span of years 2009-2019, in 2009 amounted to 122.58 ha and in 2019 amounted to 197.19 ha the area of vegetation in this period experienced an increase in area of 74.76 ha. density at station 1 has a density of 3633 ind/ha, while at station 2 and 3 points respectively 3700 ind/ha and 3500 ind/ha. Mangrove species that can be found in the mangrove area of Bedono village are Avicennia marina, Avicennia alba, and Rhizopora mucronata.

scholarly journals Visual interpretation of ASTER satellite data, Part II: Land use mapping in Mpumalanga,South Africa

2007 ◽  
Vol 26 (4) ◽  
pp. 247-264
Author(s):  
Elna Van Niekerk
Keyword(s):  
South Africa ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Data ◽  
Satellite Images ◽  
Research Projects ◽  
Visual Interpretation ◽  
Landsat 7 ◽  
Landsat 5 Tm ◽  
Landsat Satellite

Since the initiation in 1960 of the era of satellite remote sensing to detect the different characteristics of the earth, a powerful tool was created to aid researchers. Many land-use studies were undertaken using Landsat MSS, Landsat TM and ETM, as well as SPOT satellite data. The application of these data to the mapping of land use and land cover at smaller scales was constrained by the limited spectral and/or spatial resolution of the data provided by these satellite sensors. In view of the relatively high cost of SPOT data, and uncertainty regarding the future continuation of the Landsat series, alternative data sources need to be investigated. In the absence of published previous research on this issue in South Africa, the purpose of this article is to investigate the value of visual interpretation of ASTER satellite images for the identification and mapping of land-use in an area in South Africa. The study area is situated in Mpumalanga, in the area of Witbank, around the Witbank and Doorndraai dams. This area is characterised by a variety of urban, rural and industrial land uses. Digital image processing of one Landsat 5 TM, one Landsat 7 ETM and one ASTER satellite image was undertaken, including atmospheric correction and georeferencing, natural colour composites, photo infrared colour composites (or false colour satellite images), band ratios, Normalised Difference Indices, as well as the Brightness, Greenness and Wetness Indices. The efficacy with which land use could be identified through the visual interpretation of the processed Landsat 5 TM, Landsat 7 TM and ASTER satellite images was compared. The published 1:50 000 topographical maps of the area were used for the purpose of initial verification. Findings of the visual interpretation process were verified by field visits to the study area. The study found that the ASTER satellite data produced clearer results and therefore have a higher mapping ability and capacity than the Landsat satellite data. Hence, it is anticipated that the use of the full range of the spectral resolution of the ASTER satellite data – which were not available for this study – in statistical pattern recognition and classification methods will enhance the value of the process. Statistical methods are often used to produce visual information which could be applied to prepare land-use change inventories. This should be addressed in future research projects. Should the Landsat programme be terminated, ASTER satellite data might provide the best alternative for a variety of research projects, but if the Landsat project is continued, the ASTER satellite data could be used very effectively in conjunction with the Landsat satellite data. Since it is foreseen that the ASTER satellite data will be available for at least the next 12 to 15 years, it will continue to provide exciting possibilities for the development of programmes to monitor land-use and land-use change. This could then be used by all three levels of government to reach their goals in terms of agricultural planning, town and regional planning and environmental management. These requirements are described in the Integrated Development Programmes (IDP) of the different local governments.

scholarly journals Yield variability prediction by remote sensing sensors with different spatial resolution

2017 ◽  
Vol 31 (2) ◽  
pp. 195-202 ◽  
Author(s):  
Jitka Kumhálová ◽  
Štěpánka Matějková
Keyword(s):  
Remote Sensing ◽  
Spatial Resolution ◽  
Satellite Data ◽  
Satellite Images ◽  
Satellite Image ◽  
Image Data ◽  
Data Availability ◽  
Satellite Image Data ◽  
Landsat Satellite ◽  
Very High

Abstract Currently, remote sensing sensors are very popular for crop monitoring and yield prediction. This paper describes how satellite images with moderate (Landsat satellite data) and very high (QuickBird and WorldView-2 satellite data) spatial resolution, together with GreenSeeker hand held crop sensor, can be used to estimate yield and crop growth variability. Winter barley (2007 and 2015) and winter wheat (2009 and 2011) were chosen because of cloud-free data availability in the same time period for experimental field from Landsat satellite images and QuickBird or WorldView-2 images. Very high spatial resolution images were resampled to worse spatial resolution. Normalised difference vegetation index was derived from each satellite image data sets and it was also measured with GreenSeeker handheld crop sensor for the year 2015 only. Results showed that each satellite image data set can be used for yield and plant variability estimation. Nevertheless, better results, in comparison with crop yield, were obtained for images acquired in later phenological phases, e.g. in 2007 - BBCH 59 - average correlation coefficient 0.856, and in 2011 - BBCH 59-0.784. GreenSeeker handheld crop sensor was not suitable for yield estimation due to different measuring method.

Characterization and evolution of spearfishing in Madeira archipelago, Eastern Atlantic

2020 ◽  
Vol 33 ◽  
pp. 15
Author(s):  
Roi Martínez-Escauriaza ◽  
Claudio Vieira ◽  
Lídia Gouveia ◽  
Nuno Gouveia ◽  
Margarida Hermida
Keyword(s):  
Fish Species ◽  
Young Men ◽  
Coastal Areas ◽  
Teleost Fishes ◽  
The North ◽  
Southeast Coast ◽  
Madeira Archipelago ◽  
First Time

Data obtained from licenses of spearfishers and surveys conducted in 2004 and 2017 allowed for the analysis, for the first time, of the practice of spearfishing in the Madeira archipelago. Only a small percentage of the population practices spearfishing, mostly local young men. Most of them practice the activity with a partner throughout most of the year and along most of the island's coastal areas, although preferentially along the North and Southeast coast. Results show how, in recent years, despite the population of spearfishers decreasing, the abundance in the annual catch potentially increased, probably due to the higher investment of time in this activity. It has been observed that many fishers complement their catches with manual collecting of invertebrates. Overall, 40 teleost fishes and also 4 crustaceans and 8 molluscs were identified. The most frequently captured fish species were parrotfish and white seabream, while limpets were the most collected invertebrates in both selected periods.

Preliminary results of the study on the reasons of the Hai Hau erosion phenomenon

2007 ◽  
Vol 29 (3) ◽  
pp. 415-426
Author(s):  
Pham Van Ninh ◽  
Phan Ngoc Vinh ◽  
Nguyen Manh Hung ◽  
Dinh Van Manh
Keyword(s):  
Mathematical Modeling ◽  
Historical Data ◽  
Middle Part ◽  
Red River ◽  
Erosion Process ◽  
Red River Delta ◽  
The North ◽  
Severe Erosion ◽  
North And South ◽  
Very High

Overall the evolution process of the Red River Delta based on the maps and historical data resulted in a fact that before the 20th century all the Nam Dinh coastline was attributed to accumulation. Then started the erosion process at Xuan Thuydistrict and from the period of 1935 - 1965 the most severe erosion was contributed in the stretch from Ha Lan to Hai Trieu, 1965 - 1990 in Hai Chinh - Hai Hoa, 1990 - 2005 in the middle part of Hai Chinh - Hai Thinh (Hai Hau district). The adjoining stretches were suffered from not severe erosion. At the same time, the Ba Lat mouth is advanced to the sea and to the North and South direction by the time with a very high rate.The first task of the mathematical modeling of coastal line evolution of Hai Hau is to evaluate this important historical marked periods e. g. to model the coastal line at the periods before 1900, 1935 - 1965; 1965 - 1990; 1990 - 2005. The tasks is very complicated and time and working labors consuming.In the paper, the primarily results of the above mentioned simulations (as waves, currents, sediments transports and bottom - coastal lines evolution) has been shown. Based on the obtained results, there is a strong correlation between the protrusion magnitude and the southward moving of the erosion areas.

New insights on the north-eastern part of the Ketilidian orogen in South-East Greenland

1999 ◽  
pp. 23-33 ◽  
Author(s):  
Adam A. Garde ◽  
John Grocott ◽  
Ken J.W. McCaffrey
Keyword(s):  
Sea Ice ◽  
Coastal Areas ◽  
East Greenland ◽  
Original Series ◽  
The North ◽  
North Eastern ◽  
North Eastern Part ◽  
Geological Research

NOTE: This article was published in a former series of GEUS Bulletin. Please use the original series name when citing this article, for example: Garde, A. A., Grocott, J., & McCaffrey, K. J. (1999). New insights on the north-eastern part of the Ketilidian orogen in South-East Greenland. Geology of Greenland Survey Bulletin, 183, 23-33. https://doi.org/10.34194/ggub.v183.5201 _______________ During a five week period in August–September 1998 the poorly known north-eastern part of the Palaeoproterozoic (c. 1800 Ma) Ketilidian orogen between Kangerluluk and Mogens Heinesen Fjord in South-East Greenland (Fig. 1) was investigated in continuation of recent geological research in other parts of the orogen. The north-eastern part of the orogen is remote from inhabited areas. It is mountainous and comprises a wide nunatak zone which can only be reached easily by helicopter. Furthermore, access to coastal areas by boat is difficult because many parts of the coast are prone to be ice-bound even during the summer months, due to wind- and current-driven movements of the sea ice.

SATELLITE DATA FOR INVESTIGATION OF RECENT STATE AND PROCESSES IN THE SIVASH BAY

2017 ◽  
Author(s):  
Ekaterina Shchurova ◽  
Ekaterina Shchurova ◽  
Rimma Stanichnaya ◽  
Rimma Stanichnaya ◽  
Sergey Stanichny ◽  
...  
Keyword(s):  
Satellite Data ◽  
Water Exchange ◽  
High Salinity ◽  
Meteorological Data ◽  
Sea Surface ◽  
Azov Sea ◽  
Seasonal Wind ◽  
Ice Regime ◽  
Very High

Sivash bay is the shallow-water lagoon of the Azov Sea. Restricted water exchange and high evaporation form Sivash as the basin with very high salinity. This factor leads to different from the Azov Sea thermal and ice regimes of Sivash. Maine aim of the study presented to investigate recent state and changes of the characteristics and processes in the basin using satellite data. Landsat scanners TM, ETM+, OLI, TIRS together with MODIS and AVHRR were used. Additionally NOMADS NOAA and MERRA meteorological data were analyzed. The next topics are discussed in the work: 1. Changes of the sea surface temperature, ice regime and relation with salinity. 2. Coastal line transformation – long term and seasonal, wind impact. 3. Manifestation of the Azov waters intrusions through the Arabat spit, preferable wind conditions.

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