COMPARISON OF SENTINEL-2 AND MULTITEMPORAL SENTINEL-1 SAR IMAGERY FOR MAPPING AQUACULTURE POND DISTRIBUTION IN THE COASTAL REGION OF BREBES REGENCY, CENTRAL JAVA, INDONESIA

<p>Identification of flood water extent from satellite images has historically relied on either synthetic aperture radar (SAR) or multi-spectral (MS) imagery. But MS sensors may not penetrate cloud cover, whereas SAR is plagued by operational errors such as noise-like speckle challenging their viability to global flood mapping applications. An attractive alternative is to effectively combine MS data and SAR, i.e., two aspects that can be considered complementary with respect to flood mapping tasks. Therefore, in this study, we explore the diverse bands of Sentinel 2 (S2) derived water indices and Sentinel 1 (S1) derived SAR imagery along with their combinations to access their capability in generating accurate flood inundation maps. For this purpose, a fully connected deep convolutional neural network known as U-Net is applied to combinations of S1 and S2 bands to 446 (training: 313, validating: 44, testing: 89) hand labeled flood inundation extents derived from Sen1Floods11 dataset spanning across 11 flood events. The trained U-net was able to achieve a median F1 score of 0.74 when using DEM and S1 bands as input in comparison to 0.63 when using only S1 bands highlighting the active positive role of DEM in mapping floods. Among the, S2 bands, HSV (Hue, Saturation, Value) transformation of Sentinel 2 data has achieved a median F1 score of 0.94 outperforming the commonly used water spectral indices owing to HSV&#8217;s transformation&#8217;s superior contrast distinguishing abilities. Also, when combined with Sentinel 1 SAR imagery too, HSV achieves a median F1 score 0.95 outperforming all the well-established water indices in detecting floods in majority of test images.</p>

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Resilience Concept in Indonesian Small Town Development and Planning: a Case of Lasem, Central Java

E3S Web of Conferences ◽

10.1051/e3sconf/20186801027 ◽

2018 ◽

Vol 68 ◽

pp. 01027 ◽

Cited By ~ 1

Author(s):

Jawoto Sih Setyono ◽

Wiwandari Handayani ◽

Iwan Rudiarto ◽

Landung Esariti

Keyword(s):

Urban Areas ◽

Coastal Region ◽

Secondary Data ◽

Policy Framework ◽

Urban Resilience ◽

Small Cities ◽

Rapid Urbanization ◽

Metropolitan Regions ◽

Central Java ◽

Spatial Policy

Rapid urbanization in developing countries has brought some unprecedented consequences in economic, social, and most notably environmental aspects. Many cities have to be dealing with the challenges of vulnerability as the risk of disasters increases. In responding to the challenges, the concept of urban resilience has been applied as an important part of the current development policies in many countries. In Indonesia, the current spatial policy framework has underlined the importance of integrating vulnerability and environmental carrying capacity into spatial planning document. However, attention has been mostly given to metropolitan or large urban areas. This policy imbalance has put aside the problems faced by smaller urban areas or small cities, although the growing importance of small urban areas or cities is widely understood. In fact, the problems faced by small cities are not less important compared to that of large cities or metropolitan regions, especially those which are in coastal regions. This research aims at analysing how the development and planning of small cities in coastal areas considers the resilience concept. This research applied qualitative methods based on content analysis of planning documents and secondary data. This study selected Lasem, a small urban area in eastern coastal region of Central Java with some 50,000 population, as a case. This research found that the current spatial policy framework is lacking in integrating vulnerability and resilience dimension in the policy and development processes. The research recommended some key important factors to be integrated in the future urban development model.

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A Regional Perspective on Urbanization and Climate-Related Disasters in the Northern Coastal Region of Central Java, Indonesia

Land ◽

10.3390/land7010034 ◽

2018 ◽

Vol 7 (1) ◽

pp. 34 ◽

Cited By ~ 5

Author(s):

◽

Keyword(s):

Coastal Region ◽

Central Java ◽

Regional Perspective

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Vegetation Stratification in Semarang Coastal Area

Biosaintifika Journal of Biology & Biology Education ◽

10.15294/biosaintifika.v11i1.18621 ◽

2019 ◽

Vol 11 (1) ◽

pp. 139-147

Author(s):

Nana Kariada Tri Martuti ◽

Yustinus Ulung Anggraito ◽

Septiana Anggraini

Keyword(s):

Coastal Area ◽

Qualitative Data ◽

Positive Impact ◽

Coastal Region ◽

Morphological Characteristics ◽

Conservation Strategy ◽

Plant Identification ◽

Central Java ◽

Different Types ◽

Index Of Diversity

The coastal region is a dynamic area as a transition between the land and the sea. The ecological function of the coastal area is affected mainly by the structure and composition of vegetation factors. This study aims to analyze the vegetation stratification of terrestrial to marine ecosystems in the coastal area of Semarang City, Central Java Indonesia as an effort to manage a sustainable ecosystem. A striped path combined with nested plots were applied in this research. The plots were placed by systematic purposive sampling based on the homogeneity of vegetation found along with the topographic conditions of the research location. Analysis of qualitative data used by way of inventorying plants and identifying plants based on morphological characteristics that can be observed. Data analysis was performed based on the results of an inventory of the structure and composition of vegetation obtained including the index of diversity, evenness, and species richness. The results of plant identification found in the three locations recorded 51 plant species consisting of 29 families. The different types of vegetation in Taman Lele, Tapak, and Tirang Beach affect the diversity, richness, and evenness index of vegetation in all three locations. Therefore, it can be concluded that different environmental factors contribute to the vegetation stratification from the land to the sea. This is the first report on the Semarang coastal area vegetation stratification. The results can have a positive impact on the coastal area conservation strategy for sustainable management, as well as to be a media for environmental education purpose.

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NUMERICAL MODELING OF LONG SHORE TRANSPORT RATE IN COASTAL STRUCTURE PLANNING

Jurnal Kelautan Indonesian Journal of Marine Science and Technology ◽

10.21107/jk.v12i2.5309 ◽

2020 ◽

Vol 12 (2) ◽

pp. 131-140

Author(s):

Koko Ondara ◽

Hadhrat Khalil

Keyword(s):

Numerical Modeling ◽

Wind Wave ◽

Coastal Region ◽

Primary Data ◽

Coastal Protection ◽

Coastal Dynamics ◽

Tidal Analysis ◽

Alternative Structures ◽

Central Java ◽

The Impact

Demak Regency is one of the regencies in the coastal region north of Central Java, which has a abrasion. The coastal area of Surodadi, Sayung Subdistrict, Demak Regency is one of the areas that experienced severe abrasion. The purpose of this study is to analyze the coastal dynamics that occur and design appropriate conservation and rehabilitation systems to reduce the impact of abrasion and coastal protection. This study uses primary data carried out at 2016. The analyzes carried out were wind, wave, tidal analysis, shoreline changes and analysis of recommendation structures. The protection scenorio plan uses two alternative structures namely breakwater and seawall. Analysis using a breakwater indicates that the results of sedimentation due to the structure are unsatisfactory. After 10 years, the breakwater produces ± 100 m sedimentation from the initial coastline. The modeling results show that the seawall can prevent further abrasion in the study site even if it does not cause sedimentation (except on the coastline that juts into the mainland).

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KOMODITAS PERIKANAN UNGGULAN KABUPATEN PATI DALAM SKALA PROVINSI JAWA TENGAH

Jurnal Litbang Media Informasi Penelitian Pengembangan dan IPTEK ◽

10.33658/jl.v10i1.74 ◽

2018 ◽

Vol 10 (1) ◽

pp. 24-34

Author(s):

Herna Octivia Damayanti

Keyword(s):

Secondary Data ◽

Production Data ◽

Positive Trend ◽

Aquaculture Pond ◽

Central Java ◽

Secondary Data Source ◽

Data Source ◽

Descriptive Method ◽

Central Java Province

ENGLISHThe leading of Fishery commodities in Pati Regency are aquaculture pond fishery and marine capture fishery. Objectives of the research are (1) to describe the development of Pati Regency leading commodities in 2008-2012; (2) to describe the contribution of Pati Regency leading commodities to Central Java Province; and (3) to describe Pati Regency leading commodities position in Central Java Province scale. The research used descriptive method and was held in December 2013. Secondary data source namely marine capture fishery and aquaculture pond fishery production data from Statistics of Central Java Province for 2008, 2009, 2010, 2011 and 2012. Data was analyzed descriptively. The results were: (1) Both capture fishery and aquaculture pond fishery during the last 5 years (2008-2012) showed positive trend, that increased constantly; (2) the percentage of aquaculture pond fishery contribution is above 20% (range 23-28%), meanwhile marine capture fishery below 20% (range 15-18%); (3) Pati Regency marine capture fishery in 2008 and 2009 was ranked third , but three years later namely 2010, 2011 and 2012 managed to rank second in the Central Java Province scale. While, Pati Regency aquaculture pond fishery was ranked second in the last 5 years. INDONESIAHasil perikanan yang menjadi komoditas unggulan di Kabupaten Pati adalah komoditas perikanan budidaya tambak dan perikanan laut tangkap. Tujuan penelitian adalah (1) menggambarkan perkembangan hasil komoditas perikanan unggulan Kabupaten Pati tahun 2008-2012; (2) menggambarkan besaran kontribusi komoditas perikanan unggulan Kabupaten Pati kepada Provinsi Jawa Tengah; dan (3) menggambarkan posisi komoditas perikanan unggulan Kabupaten Pati dalam skala Provinsi Jawa Tengah. Penelitian menggunakan metode deskriptif dan dilaksanakan bulan Desember 2013. Sumber data sekunder yaitu data produksi perikanan laut tangkap dan perikanan budidaya tambak dari Badan Pusat Statistik Provinsi Jawa Tengah untuk tahun 2008, 2009, 2010, 2011 dan 2012. Analisis data secara deskripsif. Hasil penelitian adalah (1) hasil perikanan laut tangkap dan perikanan budidaya tambak Kabupaten Pati selama kurun waktu 5 tahun terakhir (2008-2012) menunjukkan tren positif yaitu terus mengalami peningkatan; (2) nilai persentase kontribusi perikanan budidaya tambak diatas 20% (kisaran 23-28%), sedangkan perikanan laut tangkap berada dibawah 20% (kisaran 15-18%); (3) hasil perikanan laut tangkap Kabupaten Pati pada tahun 2008 dan 2009 menduduki peringkat ketiga, tetapi 3 tahun selanjutnya yaitu tahun 2010, 2011 dan 2012 berhasil menduduki peringkat kedua dalam skala Provinsi Jawa tengah. Sedangkan perikanan budidaya tambak, Kabupaten Pati menempati peringkat kedua dalam 5 tahun terakhir.

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Evaluation of Satellite Imagery for Monitoring Pacific Walruses at a Large Coastal Haulout

Remote Sensing ◽

10.3390/rs13214266 ◽

2021 ◽

Vol 13 (21) ◽

pp. 4266

Author(s):

Anthony S. Fischbach ◽

David C. Douglas

Keyword(s):

Satellite Imagery ◽

Chukchi Sea ◽

Late Summer ◽

Visual Interpretation ◽

Odobenus Rosmarus Divergens ◽

Radar Imagery ◽

Moderate Resolution ◽

Satellite Sensors ◽

Sar Imagery ◽

Sentinel 2

Pacific walruses (Odobenus rosmarus divergens) are using coastal haulouts in the Chukchi Sea more often and in larger numbers to rest between foraging bouts in late summer and autumn in recent years, because climate warming has reduced availability of sea ice that historically had provided resting platforms near their preferred benthic feeding grounds. With greater numbers of walruses hauling out in large aggregations, new opportunities are presented for monitoring the population. Here we evaluate different types of satellite imagery for detecting and delineating the peripheries of walrus aggregations at a commonly used haulout near Point Lay, Alaska, in 2018–2020. We evaluated optical and radar imagery ranging in pixel resolutions from 40 m to ~1 m: specifically, optical imagery from Landsat, Sentinel-2, Planet Labs, and DigitalGlobe, and synthetic aperture radar (SAR) imagery from Sentinel-1 and TerraSAR-X. Three observers independently examined satellite images to detect walrus aggregations and digitized their peripheries using visual interpretation. We compared interpretations between observers and to high-resolution (~2 cm) ortho-corrected imagery collected by a small unoccupied aerial system (UAS). Roughly two-thirds of the time, clouds precluded clear optical views of the study area from satellite. SAR was unaffected by clouds (and darkness) and provided unambiguous signatures of walrus aggregations at the Point Lay haulout. Among imagery types with 4–10 m resolution, observers unanimously agreed on all detections of walruses, and attained an average 65% overlap (sd 12.0, n 100) in their delineations of aggregation boundaries. For imagery with ~1 m resolution, overlap agreement was higher (mean 85%, sd 3.0, n 11). We found that optical satellite sensors with moderate resolution and high revisitation rates, such as PlanetScope and Sentinel-2, demonstrated robust and repeatable qualities for monitoring walrus haulouts, but temporal gaps between observations due to clouds were common. SAR imagery also demonstrated robust capabilities for monitoring the Point Lay haulout, but more research is needed to evaluate SAR at haulouts with more complex local terrain and beach substrates.

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