scholarly journals ANALISA LUASAN TERUMBU KARANG DI PERAIRAN PULAU TEGAL LAMPUNG DENGAN TEKNOLOGI PENGINDERAAN JAUH

2020 ◽  
Vol 5 (2) ◽  
pp. 55-67
Author(s):  
Faris Muhtar ◽  
Armijon Armijon ◽  
Fauzan Murdapa ◽  
Romi Fadly
Keyword(s):  
Coral Reef ◽  
Coral Reefs ◽  
Landsat Imagery ◽  
Confusion Matrix ◽  
Image Interpretation ◽  
The Other ◽  
Image Correction ◽  
Field Validation ◽  
Remote Sensing Technology ◽  
Sensing Technology

Damage to coral reefs on Tegal Island has an impact on reducing coral reef habitats, so monitoring needs to be done. Monitoring is done by analyzing the extent and changes by utilizing remote sensing technology to map the existing conditions. The data used are Landsat imagery in 1998, 2008, 2015 and 2018. Digital image processing is done starting from image correction, lyzenga algorithm calculation, image interpretation and field validation, and accuracy testing of coral reef habitats using a confusion matrix. The results showed that there was a change in the area of coral reefs from 1998 to 2018. The coral reef class experienced a reduction of 11.22 ha. Coral classes that changed into sand classes were 9.13 ha (29.49%) and seagrasses were 4.38 ha (14.15%). The class of sand that turned into coral reefs was 2.08 ha (13.52%) and seagrass classes that turned into coral reefs were 0.21 ha (0.25%). The biggest change is the change in the coral reef to sand covering an area of 9.13 ha (29.49%), while the smallest change is the change in seagrass into a coral reef covering an area of 0.21 ha (0.25%). In the other classes, the biggest change in area was seagrass change into sand covering an area of 5.76 ha (6.96%), while the smallest change was the change in the sand to seagrass covering an area of 2.67 ha (17.35%).

scholarly journals Analysis of Cold-Developed vs. Cold-Acclimated Leaves Reveals Various Strategies of Cold Acclimation of Field Pea Cultivars

2019 ◽  
Vol 11 (24) ◽  
pp. 2964 ◽  
Author(s):  
Alexandra Husičková ◽  
Jan F. Humplík ◽  
Miroslav Hýbl ◽  
Lukáš Spíchal ◽  
Dušan Lazár
Keyword(s):  
Cold Acclimation ◽  
Shoot Growth ◽  
Photosynthetic Performance ◽  
The Other ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Quenching Analysis ◽  
Shoot Growth Rate ◽  
Whole Plants

Peas (Pisum sativum L.) belong among the world’s oldest domesticated crops, serving as a source of proteins, complex carbohydrates, vitamins and minerals. Autumn sowing allows a higher biomass production as well as the avoidance of the drought and heat stresses of late spring. However, the character of European continental winters limits plant growth and development through cold stress. This work sought parameters that reflect the cold tolerance of pea plants and consequently to suggest an afila-type pea cultivar with resilience to European continental winters. For this purpose, we employed indoor remote sensing technology and compared the 22-day-long acclimation to 5 °C of four pea cultivars: Arkta, with normal leaves and the known highest cold resistance to European continental winters, and Enduro, Terno and CDC Le Roy, all of the afila type. Besides evaluation of shoot growth rate and quenching analysis of chlorophyll fluorescence (ChlF) by imaging methods, we measured the chlorophyll content and ChlF induction with a nonimaging fluorometer. Here we show that the acclimation to cold of the Arkta exhibits a different pattern than the other cultivars. Arkta showed the fastest retardation of photosynthesis and shoot growth, which might be part of its winter survival strategy. Terno, on the other hand, showed sustained photosynthetic performance and growth, which might be an advantageous strategy for spring. Surprisingly, Enduro showed sustained photosynthesis in the stipules, which transferred and acclimated to 5 °C (cold-acclimated). However, of all the cultivars, Enduro had the strongest inhibition of photosynthesis in new stipules that developed after the transition to cold (cold-developed). We conclude that the parameters of ChlF spatial imaging calculated as averages from whole plants are suboptimal for the characterization of various cold acclimation strategies. The most marked changes were obtained when the new cold-developed leaves were analyzed separately from the rest of the plant.

scholarly journals Mapping the Recovery Process of Vegetation Growth in the Copper Basin, Tennessee Using Remote Sensing Technology

GeoHazards ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 31-43
Author(s):  
Richard Blanton ◽  
A.K.M. Azad Hossain
Keyword(s):  
Remote Sensing ◽  
Landsat Imagery ◽  
Recovery Process ◽  
Mining District ◽  
Vegetation Growth ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Soil Destruction ◽  
Ducktown Mining District ◽  
Mining And Smelting

The Copper Basin (CB) of southeastern Tennessee, known as the Ducktown Mining District, is a classic example of forest and soil destruction due to extensive mining and smelting operations from the mid-1800s until 1987. The smelting operation released a sulfur dioxide by-product that formed sulfuric acid precipitation which, in combination with heavy logging, led to the complete denudation of all vegetation covering 130 km2 in CB. The area has since been successfully revegetated. This study used remote sensing technology to map the different episodes of this vegetation recovery process. A time series of Landsat imagery acquired from 1977 through 2017 at 10-year intervals was used to map and analyze the changes in vegetation cover in CB. These maps were used to generate a single thematic map indicating in which 10-year period each parcel of land was revegetated. Analysis shows that the extent of non-vegetated areas continuously decreased from about 38.5 to 2.5 km2 between 1977 and 2017. The greatest increase in vegetation regrowth occurred between 1987 and 1997, which was the period when all mining and smelting activities ceased. This research could be very useful to better understand the recovery process of areas affected by mining and smelting processes.

scholarly journals ANALISIS HABITAT DAN PERUBAHAN LUASAN TERUMBU KARANG DI PULAU MENJANGAN BESAR, KEPULAUAN KARIMUNJAWA MENGGUNAKAN CITRA SATELIT

2016 ◽  
Vol 5 (4) ◽  
pp. 302-310
Author(s):  
Rio Januardi ◽  
Agus Hartoko ◽  
Pujiono Wahyu Purnomo
Keyword(s):  
Remote Sensing ◽  
Coral Reef ◽  
Coral Reefs ◽  
Good Condition ◽  
Landsat 8 ◽  
Geometric Center ◽  
Sensing Technology ◽  
Coral Reef Area ◽  
Short Time ◽  
Line Intercept

ABSTRAK Perairan Indonesia menyimpan keanekaragaman hayati laut karang tertinggi, diperkirakan luas ekosistem terumbu karang Indonesia mencapai 50.000 km2 yaitu 25 persen dari luas terumbu karang dunia. Penggunaan teknologi penginderaan jauh merupakan salah satu alternatif yang tepat untuk mendeteksi terumbu karang bagi negara yang mempunyai wilayah yang sangat luas dan memerlukan waktu yang relatif singkat serta biaya murah. Penelitian ini bertujuan untuk mengetahui jenis, kondisi, perubahan luasan dan tingkat akurasi monitoring terumbu karang di Pulau Menjangan Besar menggunakan citra satelit Landsat 8. Penelitian dilaksanakan pada November 2015-Januari 2016 di Pulau Menjangan Besar dan di Laboratorium Marine Geometric Center, Jurusan Perikanan UNDIP. Metode penelitian yang digunakan yaitu metode eksploratif untuk mengetahui jenis dan kondisi terumbu karang menggunakan metode Line Intersept Transect dan metode koreksi kolom air atau Lyzenga. Hasil penelitian  menemukan kondisi terumbu karang di Pulau Menjangan Besar masih dalam kondisi baik dengan persentase penutupan karang sebesar 51,6 persen. Jenis terumbu karang yang terdapat di Pulau Menjangan Besar yaitu Acropora sp, Stylopora sp, Porites sp, Favia sp, Heliopora sp, Euphylia sp, Pocilopora sp, Goniopora sp dan Favites sp dengan nilai keaneragaman sebesar 1.28 tergolong sedang/moderat dan nilai dominasi sebesar 0.58. Terumbu karang mengalami penurunan luasan sebesar 7,92 Ha dari tahun 2013-2015. Tingkat akurasi penggunaan citra satelit Landsat 8 yaitu 81,25 persen. Kata kunci :Persentase penutupan karang; Luasan habitat; Menjangan Besar; Penginderaan jauh ABSTRACTThe ocean of Indonesia has the highest biodiversity of Coral Reef, the extent of Indonesian’s coral reefs widely predicted 50.000 km2 which is about 25% of the world’s. The use of remote sensing technology is one the alternatives that is appropriate for the detection of coral reefs for a country that has a very wide area and requires a relatively short time and reasonable cost. This study aimed to determine the type; condition; changes in the area; and the level of monitoring coral reefs accuracy in Menjangan Besar Island used Landsat 8 satellite. The study was conducted on November 2015 until January 2016 in Menjangan Besar Island and the Marine Geometric Center, Fisheries Department at Diponegoro University. This research uses an explorative method to determine the type and condition of coral reefs using line intercept transect method and correction on water column method or Lyzenga. The result of this research is the condition of coral reefs in Menjangan Besar in the good condition with the cover percentage of coral at 51.6%. The species of Coral reefs in Menjangan Besar are identified as Acropora sp, Stylopora sp, Porites sp, Favia sp, Heliopora sp, Euphylia sp, Pocilopora sp, Goniopora sp and Favites sp with the value of diversity about 1.28 classified as moderate and the value of dominance of 0.58. The coral reef area decreased by 7.92 ha of the year 2013 to 2015. The accuracy level used Landsat 8 imagery satellite is 81.25%. This level of accuracy using Landsat 8 satellite imagery is 81.25%. Keywords :Percentages of coral reef cover; Extents habitat; Menjangan Besar; Remote sensing.

scholarly journals STUDY ON THE VARIATION OF SURFACE WATER BASED ON LANDSAT IMAGERY IN GUILIN

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 889-894
Author(s):  
X. J. Lu ◽  
C. L. Wu ◽  
H. B. Yan ◽  
Y. H. Huang ◽  
L. Luo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
River Basin ◽  
Water Distribution ◽  
Landsat Imagery ◽  
Distribution Area ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Lijiang River ◽  
Landsat Satellite

Abstract. Using remote sensing technology to study the distribution and change of surface water is an important application of remote sensing technology. It is also an important means of water resources protection. This paper takes the Lijiang River Basin in Guilin, Guangxi as the research object. Landsat satellite images were used as the data source. After classifying the images, the surface water distribution area of Lijiang River Basin in Guilin City was extracted, and the area change and its spatial distribution are compared. On this basis, combined with the actual situation in Guilin, the paper analyzes the causes of surface water distribution change in Lijiang river basin from two aspects of natural factors and human factors.

scholarly journals Coral Reef Zone Analysis in Development of Segmentation Ecotourism in Karimunjawa National Park

2019 ◽  
pp. 1-15
Author(s):  
Aramita Livia Ardis ◽  
Mega Laksmini Syamsudin ◽  
Herman Hamdani ◽  
Lantun Paradhita Dewanti
Keyword(s):  
Remote Sensing ◽  
Coral Reef ◽  
Carrying Capacity ◽  
National Park ◽  
Coral Cover ◽  
Sea Surface ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Coral Reef Ecosystems

Karimunjawa is one of the main destinations that present underwater beauty that is quite popular. But due to increased tourism activities provide economic benefits but also have a negative impact on coral reef ecosystems so that prudent and sustainable management is needed, these characteristics are felt capable of being helped by remote sensing technology. The purpose of this research is to analyze the coral reef zoning for the development of ecotourism segmentation and the carrying capacity of coral reef ecosystems and to map the condition of coral reef ecosystems in the Karimunjawa National Park area through remote sensing technology. The method used in data collection uses a survey method which is divided into 2 types in-situ conducted on 19th April 2019 to 2nd May 2019 and ex-situ taken for 4 years for coral cover and 1 year for sea surface temperature. By using quantitative descriptive analysis, land suitability results are obtained based on the land suitability index approach and the percentage of coral cover in determining the mapping of ecotourism segmentation areas. The results of this research show that through in-situ approach, data collection in three stations on Sintok and Menjangan Kecil Islands has good coral cover while Cemara Besar is damaged. The appropriate Tourism Conformity Index value is on Menjangan Kecil Island while the other two stations are not so that the carrying capacity calculation is only done on the appropriate and very appropriate island. Inversely proportional through the analysis of the Scenic Beauty Estimation value, Cemara Besar Island which shows a high value while on the Menjangan Kecil Island the lowest. Spatial analysis shows that the fluctuation in sea surface temperature during one year is not too significant and is still limited to the optimum temperature range for coral growth so that it does not affect the conditions causing damage to coral reefs, called bleaching. Looking at the distribution of coral reefs via satellite, over the past 4 years shows an increase in dead coral cover leaving 6,752,802 m2 in 2019.

scholarly journals Condition of Coral Fish in Tapanuli Tengah Waters

2018 ◽  
Vol 3 (2) ◽  
pp. 105
Author(s):  
Sasanti Retno Suharti ◽  
Isa Nagib Edrus
Keyword(s):  
Community Structure ◽  
Coral Reef ◽  
Coral Reefs ◽  
Reef Fish ◽  
Reef Fishes ◽  
The Other ◽  
Human Being ◽  
The World ◽  
Coral Fish ◽  
Complex Architecture

Coral reefs is a center for biodiversity in the world with a complex architecture and has an aesthetics value. It also offers beneficial for human being in many aspects such as economics, social and culture. Research was conducted in July 2016 and aim to understand community structure and biomass of coral reef fishes in Tapanuli Tengah waters. Result from all stations in Tapanuli Tengah waters showed that 49 species from seven families of economically reef fish i.e.  Acanthuridae, Serranidae, Haemulidae, Lutjanidae, Lehtrinidae, Siganidae and Scaridae were found. Density average of those seven families was 163 individual/350 m<sup>2</sup> or 4668 individual/ha with biomass average of 1.564 ton/ha. Moreover, biomass from other target fishes from nine families was accounted as 0.56 ton/ha. On the other hand, over all coralifore fish represented by Chaetodontidae was eight species from two genus, namely <em>Chaetodon</em> and <em>Heniochus </em>with four species. The density from family Chaetodotidae varies among station between 3-28 individual/350 m<sup>2</sup>

scholarly journals Coral reef baselines: how much macroalgae is natural?

2013 ◽  
Author(s):  
John F Bruno ◽  
William F Precht ◽  
Peter S Vroom ◽  
Richard B. Aronson
Keyword(s):  
Coral Reef ◽  
Coral Reefs ◽  
Human Activities ◽  
Marine Ecosystems ◽  
The Other ◽  
Baseline Condition ◽  
Natural State ◽  
Resource Managers ◽  
Macroalgal Biomass ◽  
Effective Conservation

Identifying the baseline or natural state of an ecosystem is a critical step in effective conservation and restoration. Like most marine ecosystems, coral reefs are being degraded by human activities: corals and fish have declined in abundance and seaweeds, or macroalgae, have become more prevalent. The challenge for resource managers is to reverse these trends, but by how much? Based on surveys of Caribbean reefs in the 1970s, most reef scientists believe that the average cover of seaweed was very low in the natural state. On the other hand, evidence from remote Pacific reefs, ecological theory, and impacts of over-harvesting in other systems all suggest that, historically, macroalgal biomass may have been higher than assumed. Uncertainties about the natural state of coral reefs illustrate the difficulty of determining the baseline condition of even well-studied systems.

scholarly journals Remote Sensing Imagery Sensors and Image Interpretation

2021 ◽  
Vol 9 (9) ◽  
pp. 606-607
Author(s):  
Smriti Khare
Keyword(s):  
Remote Sensing ◽  
Image Interpretation ◽  
Remote Sensing Data ◽  
Basic Feature ◽  
Geographical Information ◽  
Earth Remote Sensing ◽  
Sensing Data ◽  
Remote Sensing Technology ◽  
The Earth ◽  
Sensing Technology

Abstract: Remote sensing a universal term that represents the activity of gaining data of an object with a sensor that is genuinely away from the item from an aircraft or satellite. Special cameras are used to gather remotely sensed picture which help the analyst to sense the things about the earth. Remote sensing makes it probable to assemble data of risky or unapproachable zones. Remote sensing data allows researchers to examine the biosphere's biotic and abiotic segments. Remote sensing is used in various fields to acquire the data which is widely used in Geographical Information System. Image interpretation is most basic feature of remote sensing technology. Image interpretation is a process of recognizing the images and collect information for multiple uses. The photographs are usually taken by satellite or aircrafts. Keywords: Image interpretation, image interpretation devices, sensor, remote sensing, data analysis.

Spectral Discrimination of Coral Reef Benthic Substance and Implications for Environmental Protection

2012 ◽  
Vol 610-613 ◽  
pp. 3646-3650
Author(s):  
Bing Xu ◽  
Ying Zhang
Keyword(s):  
Remote Sensing ◽  
Coral Reef ◽  
Environmental Protection ◽  
Spectral Reflectance ◽  
Spectral Response ◽  
Great Influence ◽  
Fundamental Parameter ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Coral Sand

Spectral reflectance of benthic substance is a fundamental parameter to coral reef environmental protection by remote sensing technology. It collected in situ a total of 44 spectral reflectance of healthy coral, fine sand, dead coral, sand mixed with coral rubble, and sea grass in Leizhou peninsula, China. Analyses of spectral reflectance revealed that there exist three distinct spectral zones, the high reflectance zone (400-580nm), the attenuation zone (580-720nm) and low reflectance zone (720-850nm). The reflectance between 400 to 580nm band range can be used to discriminate coral reefs and other substances efficiently. Meanwhile, water depth and quality has great influence on coral reef spectrum. By using spectral response function, analyses of simulated reflectance spectra for several remote sensors (ETM+, SPOT5, IKONOS, Quick bird) indicate that narrowband multispectral sensors have the ability to discriminate different benthic substances. The research demonstrates that basic reef benthic classes are spectrally identifiable and differentiable; it establishes the basis of utilizing remote sensing technology for environmental protection of coral reef ecosystem.

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