TELEDETECCIÓN APLICADA AL RECONOCIMIENTO DE PRADERAS DE PASTOS MARINOS EN AMBIENTES DE BAJA VISIBILIDAD: LA GUAJIRA, COLOMBIA

Seagrass meadows are important ecosystems due to their high productivity and ecological value among tropical ecosystems, because of their high species diversity. In Colombia seagrasses are located around some islands, oceanic coral banks and along the Caribbean shelf, mainly in La Guajira Department, where more than 80% of the seagrass meadows of the country are present. In the world, the delimitation of this ecosystem has been successfully mapped during years, with assistance of remote sensing, using satellite image of different spatial scales. Nevertheless, the specific environmental conditions in La Guajira, such as high water turbidity and reduced light penetration restrict the use of traditional satellite images employed for those seascapes. With the aim of delimiting and establishing the extension of seagrass meadows in La Guajira, based on analyses between July 2013 and February 2014, a methodology of massive image interpretation that included fieldwork fast verification was applied, generating as a result one layer of seagrass habitats in Cabo de La Vela – Dibulla area at 1:100000 scale. Methodology included geometric correction, image fusion, fieldwork information, definition of thematic classes, determining of criteria for spatial delimitation, visual interpretation of images, thematic uncertainty qualification, and final cartography production. The process of cartographic production showed that Landsat 8 OLI satellite sensor images made easier the identification of seagrass meadows in deep areas (>10m). In total, 53621 ha of seagrass meadows were identified, and the largest meadows of Colombia were delimitated, which reach dimensions of up to 6018 ha.

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Assessment of mangrove forest change in Ca Mau province using satellite images in the period of 1988 - 2018

Journal of Science Natural Science ◽

10.18173/2354-1059.2021-0021 ◽

2021 ◽

Vol 66 (1) ◽

pp. 175-187

Author(s):

Duong Phung Thai ◽

Son Ton

Keyword(s):

Satellite Images ◽

Satellite Image ◽

Image Interpretation ◽

Image Data ◽

Vegetation Coverage ◽

Landsat 8 ◽

Mangrove Forests ◽

Forest Change ◽

Shrimp Ponds ◽

Area Classification

On the basis of using practical methods, satellite image processing methods, the vegetation coverage classification system of the study area, interpretation key for the study area, classification and post-classification pro cessing, this research introduces how to exploit and process multi-temporal satellite images in evaluating the changes of forest area. Landsat 4, 5 TM and Landsat 8 OLI remote sensing image data were used to evaluate the changes in the area of mangrove forests (RNM) in Ca Mau province in the periods of 1988 - 1998, 1998 - 2013, 2013 - 2018, and 1988 - 2018. The results of the image interpretation in 1988, 1998, 2013, 2018 and the overlapping of the above maps show: In the 30-year period from 1988 to 2018, the total area of mangroves in Ca Mau province was decreased by 28% compared to the beginning, from 71,093.3 ha in 1988 reduced to 51,363.5 ha in 2018, decreasing by 19,729.8 ha. The recovery speed of mangroves is 2 times lower than their disappearance speed. Specifically, from 1988 to 2018, mangroves disappeared on an area of 42,534.9 hectares and appeared on the new area of 22,805 hectares, only 12,154.5 hectares of mangroves remained unchanged. The fluctuation of mangrove area in Ca Mau province is related to the process of deforestation to dig shrimp ponds, coastal erosion, the formation of mangroves on new coastal alluvial lands and soil dunes in estuaries, as well as planting new mangroves in inefficient shrimp ponds.

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Estimation of salt pond area in Madura based on satellite imagery

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/924/1/012064 ◽

2021 ◽

Vol 924 (1) ◽

pp. 012064

Author(s):

M F F Mu’tamar ◽

R A Firmansyah ◽

M Ulya

Keyword(s):

Satellite Imagery ◽

Satellite Remote Sensing ◽

Satellite Image ◽

Image Interpretation ◽

Landsat 8 ◽

Field Observations ◽

Salt Ponds ◽

Classification Methods ◽

Salt Pond ◽

Multispectral Data

Abstract Salt is one of the essential commodities in Madura. Still, this commodity is often a problem related to the volume of production that cannot be determined with certainty. Sometimes, the estimation and actual production in the field is much different. The satellite image is a picture of an area photographed by satellite remote sensing of an area according to conditions in the field. Satellite imagery can be used to estimate the area of production of a commodity at a specific location. This study aimed to estimate the total area of salt pond in the Madura Island, specifically Sampang district, using a Landsat 8 satellite image. The method used spectral analysis that extracts multispectral data Landsat 8 to result from different areas. Field observations were conducted to validate the area. The results show that the accuracy of satellite image interpretation of salt ponds and non-salt ponds was 67.5%. Based on the result, it is possible to estimate salt pond area production in the Sampang district using Landsat 8. However, classification results must be improved by using other classification methods.

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PERUBAHAN TUTUPAN LAHAN HUTAN LINDUNG GUNUNG GUNTUR TAHUN 2014 SAMPAI DENGAN TAHUN 2017

Wanamukti: Jurnal Penelitian Kehutanan ◽

10.35138/wanamukti.v21i1.153 ◽

2020 ◽

Vol 21 (1) ◽

pp. 30

Author(s):

Prasetyo Widodo ◽

Abdul Japar Sidik

Keyword(s):

Land Use ◽

Land Cover ◽

Satellite Image ◽

Image Interpretation ◽

Landsat 8 ◽

Land Protection ◽

Community Activities ◽

Protected Forests ◽

Open Land

High pressure by community activities on the existence of forests, especially protected forests that affect the quality of the environment that can cause a disaster, such as the occurrence of flash floods that occurred in 2016 in Garut regency, cannot be separated from damage to the upstream cover of cimanuk-citanduy. This prompted investigators to analyze the three year change of land protection prevailing in Mt. Guntur RPH Simpang BKPH Bayongbong. The objective of research is to calculate how large changes land cover area in Mt. Guntur Protected Area (MGPA), RPH Simpang BKPH Bayongbong KPH Garut in three years. The data collected on July to August 2017 by geographic information system (GIS) and satellite image. The results of land cover interpretation by landsat 8 OLI image 2014 and 2017 describe the condition of land use and land cover change in MGPA. Land cover of MGPA dominated by shrub (B) is 287.58 Ha (57.52%) at 2014 and 202.89 Ha (40.58%) at 2017, so deforestation as three years is 31.24 Ha or 32.13%. The results of ground check there is a land use change to open land and farming dryland. According to data of image interpretation at 2017, the open land is 20.03 Ha but after ground checking is 20.51 Ha. The reduction of it based on data of image interpretation at 2017 is 200.33 Ha to 201.85 Ha after ground checking.

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Assessment of Five-Year Vegetation Cover Changes to Support Green Open Spaces Monitoring in Surakarta, Central Java, Indonesia

Journal of Sylva Indonesiana ◽

10.32734/jsi.v4i02.6496 ◽

2021 ◽

Vol 4 (02) ◽

pp. 87-95

Author(s):

Moehar Harahap ◽

Erny Poedjirahajoe ◽

Sigit Heru Murti Budi Santosa ◽

Mariah Ulfa

Keyword(s):

Vegetation Cover ◽

Local Governments ◽

Green Space ◽

Satellite Image ◽

Urban Green Space ◽

Landsat 8 ◽

Visual Interpretation ◽

Open Spaces ◽

Urban Green ◽

Central Java

Surakarta City's population is growing every year, putting pressure on the land and vegetation. Surakarta City has a population of 500,173 people in 2010. The population of this city is growing every year, driving an increase in the demand for land and living facilities. This study aims to analyze the availability of vegetated land as urban green space, and calculate the 5-year (2010–2015) vegetation cover changes. The methods used visual interpretation and on-screen digitization of the image Landsat 7 ETM+ satellite in 2010 and Landsat 8 OLI satellite image in 2015. The results show that the availability of vegetated land as urban green space in Surakarta City is lower than that mandated in Law Number 26 of 2007 concerning Spatial Planning. Vegetation cover decreased from 2010 to 2015 in Surakarta City, covering an area of 117.7 ha (2.6% of the city area) or an average of 23.5 ha (0.5%) per year. Research on the availability of green open spaces on a regular basis is expected to be part of the process of monitoring and evaluating urban development and as input for local governments in the decision-making process.

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PERUBAHAN TUTUPAN TERUMBU KARANG DITINJAU DARI BANYAKNYA WISATAWAN DI TANJUNG GELAM KEPULAUAN KARIMUNJAWA MENGGUNAKAN CITRA SATELIT LANDSAT 8 OLI

Management of Aquatic Resources Journal (MAQUARES) ◽

10.14710/marj.v7i1.22521 ◽

2018 ◽

Vol 7 (1) ◽

pp. 18-27

Author(s):

Moch Farid ◽

Pujiono Wahyu Purnomo ◽

Supriharyono Supriharyono

Keyword(s):

Coral Reef ◽

Coral Reefs ◽

Coral Cover ◽

Satellite Image ◽

Landsat 8 ◽

Living Coral ◽

Ecosystem Sensitivity ◽

High Productivity ◽

The People ◽

And Behavior

Terumbu karang merupakan salah satu sumberdaya pesisir dan lautan yang mempunyai produktifitas dan keanekaragaman hayati yang tinggi. Keberadaan terumbu karang banyak memberikan pengaruh pada masyarakat Karimunjawa, sebagai panorama alam yang menarik untuk kegiatan wisata. Penelitian ini bertujuan untuk mengetahui tingkat perkembangan wisata, tingkat sensitifitas dan kondisi terumbu karang serta perubahan luasanya di kawasan Tanjung Gelam. Penelitian dilaksanakan pada bulan Agustus 2017 bertempat di kawasan pemanfaatan bahari Tanjung Gelam, Kepulauan Karimunjawa Jepara. Metode pengukuran sensitifitas mengacu pada pengukuran kerentanan ekosistem terumbu karang parameter pengamatan yang diambil yaitu kondisi tutupan karang hidup, kerapatan terumbu karang, kelimpahan ikan, tipe pertumbuhan terumbu karang, status perlindungan, spesies yang dilindungi, dan kelandaian. Kuesisoner digunakan untuk mengetahu respon dan prilaku wisatawan pada kawasan tanjung gelam dengan jumlah responden yang diambil yaitu 25 wisatawan, 10 pedagang dan 10 operator wisata. Pengolaan citra satelit menggunakan transformasi Lyzenga. Hasil penelitian menunjukkan perkembangan wisata di Kepulauan karimunjawa dari tahun 2014-2016 mencapai kenaikan sebanyak 39.178 orang, sedangkan tingkat sensitifitas ekosisitem terumbu karang di kawasan tanjung gelam berada pada kategori rendah dengan nilai 2,14, dengan kondisi tutpan karang hidup pada kriteria rusak buruk dengan nilai rata rata 10,28% dan perubahan luasan tutupan terumbukarang di Tanjung Gelam didapatkan perubahan luasan habitat terumbu karang yang berkurang sebesar 4,22 Ha dari tahun 2015-2017. Coral reefs are one of the coastal and ocean resources that have high productivity and biodiversity. The existence of coral reefs give much influence to the people of Karimunjawa, as an interesting natural panorama for tourism activities. This research aims to determine the level of tourism development, the level of sensitivity and condition of coral reefs and changes in the area of Tanjung Gelam. The research was conducted in August 2017 located in Tanjung Gelam marine utilization area, Karimunjawa island of Jepara. Methods of measurement of sensitivity include the measurement of living coral cover conditions, coral reef density, fish abundance, coral growth type, protection status, protected species, and cleverness. Questionnaires are used to find out the responses and behavior of tourists in the region of Tanjung Pinam with the number of respondents taken are 25 tourists, 10 merchants and 10 tour operators. Satellite image managers use the Lyzenga transformation. The results showed that the development of tourism in Karimunjawa Islands from 2014-2016 reached as much as 39,178 people, while the level of coral reef ecosystem sensitivity in the region of Tanjung Pinang was in the low category with a value of 2.14, with the living coral study on badly damaged criteria with value the average of 10.28 and the change of cover area in Tanjung Gelam found a change in coral reef habitat area which decreased by 4.22 Ha from 2015-2017 year.

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Random Forest (RF) and Artificial Neural Network (ANN) Algorithms for LULC Mapping

Engineering and Technology Journal ◽

10.30684/etj.v38i4a.399 ◽

2020 ◽

Vol 38 (4A) ◽

pp. 510-514

Author(s):

Tay H. Shihab ◽

Amjed N. Al-Hameedawi ◽

Ammar M. Hamza

Keyword(s):

Neural Network ◽

Remote Sensing ◽

Artificial Neural Network ◽

Random Forest ◽

Satellite Image ◽

Landsat 8 ◽

Optical Remote Sensing ◽

Data Set ◽

Artificial Neural ◽

Artificial Neural Network Ann

In this paper to make use of complementary potential in the mapping of LULC spatial data is acquired from LandSat 8 OLI sensor images are taken in 2019. They have been rectified, enhanced and then classified according to Random forest (RF) and artificial neural network (ANN) methods. Optical remote sensing images have been used to get information on the status of LULC classification, and extraction details. The classification of both satellite image types is used to extract features and to analyse LULC of the study area. The results of the classification showed that the artificial neural network method outperforms the random forest method. The required image processing has been made for Optical Remote Sensing Data to be used in LULC mapping, include the geometric correction, Image Enhancements, The overall accuracy when using the ANN methods 0.91 and the kappa accuracy was found 0.89 for the training data set. While the overall accuracy and the kappa accuracy of the test dataset were found 0.89 and 0.87 respectively.

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GIS mapping to solve environment education tasks: interactive map of vegetation “Along the Doppelmair’s trail”

Geodesy and Cartography ◽

10.22389/0016-7126-2020-955-1-7-18 ◽

2020 ◽

Vol 955 (1) ◽

pp. 7-18

Author(s):

A.V. Myadzelets ◽

N.M. Luzhkova

Keyword(s):

Protected Areas ◽

Scientific Information ◽

Satellite Image ◽

Image Interpretation ◽

Field Research ◽

Gis Mapping ◽

Environment Protection ◽

Gis Technologies ◽

Interactive Map ◽

Unique Species

Environmental education is an important function of Protected Areas among them nature reserves. It includes development of visible and available materials on tours and routes, on geographical and environmental features of a territory, and on unique species of flora and fauna. Interactive map of vegetation “Along Doppelmair’s trail” is an example of scientific information visualization. It was made for a distant and restricted core area in Barguzinsky Nature Reserve. We applied traditional geographical approaches and methods (field research, geobotanical descriptions) and modern GIS technologies (creation of unit database on landscape foundation, satellite image interpretation, infogram visualization) to create the map. As a result a GIS product is created with ArcMAP and located on the ArcGIS Online platform. This map shows characteristic vegetation types, succession stages of pyrogenic dynamics of forest geosystems formed during a century period. Infograms demonstrate information on sites with wild animal encounters, vegetation distribution, landscape features, and photographical materials. This interactive map is a way for environment protection popularization and solving some educational tasks for Protected Areas. It gives an opportunity to study changes in vegetation from Lake Baikal shoreline to mountain peaks of Bаrguzinskii Range, learn typical flora and fauna species, including endangered ones, find interesting historical facts about the reserve, and, thus, get an idea of uniqueness and fragility of nature and the importance of protection attempts.

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Worldview-2 and Landsat 8 Satellite Data for Seaweed Mapping along Karachi Coast

Pakistan Journal of Engineering Technology & Science ◽

10.22555/pjets.v5i2.920 ◽

2016 ◽

Vol 5 (2) ◽

Cited By ~ 1

Author(s):

Muhammad Danish Siddiqui ◽

Arjumand Z Zaidi

Keyword(s):

Satellite Data ◽

Spatial Scales ◽

Economic Value ◽

Vegetation Indices ◽

Cost Effective ◽

Geographical Information ◽

Landsat 8 ◽

Coverage Area ◽

Breeding Sites ◽

Marine Plant

Seaweed is a marine plant or algae which has economic value in many parts of the world. The purpose of this study is to evaluate different satellite sensors such as high-resolution WorldView-2 (WV2) satellite data and Landsat 8 30-meter resolution satellite data for mapping seaweed resources along the coastal waters of Karachi. The continuous monitoring and mapping of this precious marine plant and their breeding sites may not be very efficient and cost effective using traditional survey techniques. Remote Sensing (RS) and Geographical Information System (GIS) can provide economical and more efficient solutions for mapping and monitoring coastal resources quantitatively as well as qualitatively at both temporal and spatial scales. Normalized Difference Vegetation Indices (NDVI) along with the image enhancement techniques were used to delineate seaweed patches in the study area. The coverage area of seaweed estimated with WV-2 and Landsat 8 are presented as GIS maps. A more precise area estimation wasachieved with WV-2 data that shows 15.5Ha (0.155 Km2)of seaweed cover along Karachi coast that is more representative of the field observed data. A much larger area wasestimated with Landsat 8 image (71.28Ha or 0.7128 Km2) that was mainly due to the mixing of seaweed pixels with water pixels. The WV-2 data, due to its better spatial resolution than Landsat 8, have proven to be more useful than Landsat 8 in mapping seaweed patches

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