scholarly journals Caracterização detalhada das unidades de relevo do município de Jaguari (RS), Brasil / Detailed characterization of units relief in city of Jaguari (RS), Brazil

2016 ◽  
Vol 26 (46) ◽  
pp. 404
Author(s):  
Bruno Zucuni Prina ◽  
Romario Trentin
Keyword(s):  
System Modeling ◽  
Spatial Location ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Erosion Processes ◽  
Topographic Attributes ◽  
Methodological Procedures ◽  
The City ◽  
Methodological Paper

<p class="Resumo">Nesse trabalho realizou-se um mapeamento das unidades de relevo no município de Jaguari/RS, com base na análise de atributos topográficos, entre eles, com destaque a hipsometria, a declividade, o plano de curvatura e o perfil de curvatura. O objetivo geral do trabalho é o de realizar o mapeamento das unidades de relevo na área de estudo e, posteriormente, identificar as características particulares e a localização espacial dessas unidades. Todos os procedimentos metodológicos foram realizados com a utilização do aplicativo ArcGIS®, junto a utilização de uma cena da imagem SRTM, bem como com uma imagem do Landsat 8 OLI e TIRS, ambas obtidas por meio do sítio do USGS. As rotinas metodológicas do trabalho podem ser sintetizadas com a análise da relação entre a distribuição das unidades de relevo com os distintos usos da terra (classificação digital realizada junto a imagem Landsat 8 OLI e TIRS). Ainda, verificou-se a tendência da área quanto a prováveis processos erosivos, assim sendo, cerca de 64% da área ficou englobada dentro de uma classificação de "alta tendência" a ocorrência de processos erosivos. Com a análise acerca da correlação entre uso da terra com as unidades de relevo, verificou-se que as áreas consideradas como de "alta tendência" a processos erosivos, estão dispostas, principalmente nos locais da superfície caracterizados como "solo exposto", maximizando o alerta à área no que se refere a prováveis futuros problemas quanto a perda de solo.</p><p class="Resumo"><strong>Palavras-chaves</strong>: Sistema de Informações Geográficas, Modelagem, Geomorfologia, Jaguari/RS.</p><p class="Resumo"><strong>Abstract</strong></p><p class="Resumo">In the present paper was performed a mapping of relief units in the city of Jaguari/Brazil, based on the analysis topographic attributes, for example: the altimetry, slope, curvature plan and curvature profile. The general aim this paper is to perform the mapping of relief units in the study area and, thereafter, identify the characteristics and the spatial location these units. All the methodological procedures were performed using the ArcGIS®, and with a scene SRTM image, and with one image of Landsat 8 OLI and TIRS, both obtained through USGS site. The methodological paper routines can be synthesized with analysis of the interaction between distributions of relief units together with different land uses (digital classification conducted using image Landsat 8 OLI and TIRS). It should be noted that was further analyzed the tendency of the study area as the likely occurrence of erosion processes, therefore, was found 64% of the area is characterized with labeling of "high trend" the occurrence of erosion. Analyzing the data refers to correlation between land use with relief units, was observed that the areas considered as "high trend" the occurrence of erosion, are located, mainly the local surface classified as "exposed soil" increasing the concern in these area as regards probable future problems with the loss of soil (erosion).</p><p class="Resumo"><strong>Keywords</strong>: Geographic Information System, Modeling, Geomorphology, Jaguari/RS</p>

scholarly journals Thermal Remote Sensing: A tool to Determine Temporal Land Surface Temperature in Hawassa City, Ethiopia

2020 ◽  
Author(s):  
Mikias Biazen Molla
Keyword(s):  
Remote Sensing ◽  
Standard Deviation ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Urban Expansion ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Thermal Remote Sensing ◽  
The City

Abstract This investigation was conducted for the estimation of the temporal land surface temperature value using thermal remote sensing of Landsat-8 (OLI) Data in Hawassa City Administration, Ethiopia. Satellite datasets of Landsat-7 (ETM+) for 22nd March 2002 and Landsat-8 (OLI) of 22nd March 2019 were taken for this study. Different algorisms were used to estimate the Normalized Difference Vegetation Index threshold from the Red and Near-Infrared band and the ground earth's surface emissivity esteem is legitimately recovered from the thermal infrared by coordinating with the outcome got from MODIS information. The land use land cover map of the city was prepared with better accuracy using the on-screen classification technique. The spatial distribution of surface temperature of the city range from 6.62°C to 22.54°C with a mean of 14.58°C and a standard deviation of 11.25 in the year of march 22nd 2002. The LST result derived from Landsat 8 for March 22nd, 2019, ranges from 11.97°C to 35.5°C with a mean of 23.735 °C and a standard deviation of 16.64. In both years the higher LST values correspond to built-up/settlement and bare/open lands of the city; whereas, lower LST values were observed in vegetation (trees/woodlot, shrubs, and grass forested) area. Urban expansion (built-up area roads, and another impervious surface), decline in vegetation levels due to deforestation and increasing population density. Increasing an evergreen tree and green space coverage, design and develop city parks and rehabilitate the existing degraded natural environments are among the recommended strategy to reduce the rate of LST.

scholarly journals Análise multitemporal de uso, ocupação e cobertura da terra na zona Leste da cidade de Caxias/Maranhão/Brasil

2021 ◽  
Vol 14 (3) ◽  
pp. 1415
Author(s):  
Patricia Barbosa Pereira ◽  
Hikaro Kayo de Brito Nunes ◽  
Francisco De Assis da Silva Araújo
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Urban Area ◽  
Thematic Mapper ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Land Occupation ◽  
Multi Temporal ◽  
Landsat 5 Tm ◽  
The City

Com o avanço da quantidade de habitantes no espaço urbano surgem novas formas de modificações no ambiente, e, assim, há o favorecimento da intensificação do processo de antropização, como a supressão da cobertura vegetal, a descaracterização do relevo e danos aos cursos d’água. Frente a isso, o objetivo deste estudo é analisar e quantificar, em escala multitemporal, a dinâmica de uso, ocupação e cobertura da terra da cidade de Caxias/MA com foco na zona Leste por meio de ferramentas obtidas junto ao Sensoriamento Remoto. A metodologia utilizada foi pesquisa bibliográfica, documental e cartográfica. Os mapas temáticos foram confeccionados através da interpretação de imagens obtidas dos satélites Landsat 5 TM (Thematic Mapper) para o ano de 2000 e o Landsat 8 OLI (Operational Land Imager) para 2017, por meio do plugin SCP (Semi-Automatic Classification) do software QGIS 2.18.8. Com os resultados obtidos, constatou-se que, a vegetação secundária continuou representando a maior área, apesar da área urbana ter crescido (de 33% a 35%). Isso é caraterizado devido à grande área verde no bairro Pai Geraldo e no bairro Baixinha onde está localizada uma fazenda. Diante dos dados e com as etapas de sensoriamento remoto, de campo e de laboratório, este estudo representou uma análise de uso, ocupação e cobertura da terra ocorrida, onde, a partir dela constatou-se as mais diversas atividades desenvolvidas na área, relacionando, ainda, com distintos riscos e impactos socioambientais. Assim, reforça-se a necessidade de novos estudos e a contribuição do sensoriamento remoto para o alcance dos objetivos.  Analyze multi-temporal the dynamics of use, land occupation and coverage the on east Zone of the city of Caxias/MA/Maranhão/Brazil  A B S T R A C TWith the advancement of the amount of people in the urban area there are new forms of changes in environment, and thus there favoring intensifying anthropization process as suppression of vegetation, the relief adulteration and damage to water courses. Faced with this, the general objective of this study was to analyze in multi-temporal scale, the dynamics of use, land occupation and coverage of the city of Caxias/MA with a focus on east Zone East through tools obtained from the Remote Sensing. The methodology used was literature, documentary and cartographic. Thematic maps were made by interpreting images obtained from the Landsat 5 TM (Thematic Mapper) satellites for the year 2000 and the Landsat 8 OLI (Operational Land Imager) for 2017, using the SCP (Semi-Automatic Classification) plugin of the QGIS software 2.18.8. Through the results obtained, it was found that in the zona Leste secondary vegetation continued to represent the largest area, despite the urban area having grown (from 33% to 35%). It is characterized because of the large green area in the Pai Geraldo district and Baixinha where it is located a farm. In the face and the remote sensing steps, field and laboratory, this study represents an analysis of use, occupation and land cover occurred in two areas of the city of Caxias/MA where, from there it was found the most diverse activities in the area, also with different risks and environmental impacts. Thus, it reinforces the need for further studies and remote sensing to the achievement of goals.Keywords: land cover; remote sensing; East zone; Caxias/MA.

scholarly journals PEMANFAATAN CITRA LANDSAT 8 OLI UNTUK MENGKAJI KEBUTUHAN RUANG TERBUKA HIJAU BERDASARKAN KEBUTUHAN OKSIGEN DI KOTA SEMARANG

2019 ◽  
Author(s):  
ANIFA WIDIYANTARI
Keyword(s):  
Open Space ◽  
Green Space ◽  
Oxygen Demand ◽  
Remote Sensing Data ◽  
The Other ◽  
Motor Vehicles ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Central Java ◽  
The City

Semarang city is one of the big cities in Indonesia and is the capital of Central Java. Semarang City is divided into 16 districts with an area of 373.7 km2. The population in 2010 is 1,527,433 people and increased to 1,595,187 people by 2015 with population growth rate in Semarang City in 2015 of 0,59%. The increased population will be accompanied by an increase in the needs green open space. The purpose of this research is to estimate the needs rth based on the need for oxygen demand in 2017, 2020 and 2030, using Remote Sensing Data of OLI Landsat 8 Year 2015; Assessing the availability of Green Open Scace of Semarang City to oxygen demand in 2017, 2020 and 2030; And review the direction of RTH development in Semarang City. The need for green space based on the approach of oxygen demand in Semarang City is known from the comparison of the overall Green Open Scace area conditions obtained using the maximum likelihood classification method of Landsat 8 OLI Year 2015 to obtain the Existing Green Open Space and its oxygen needs using Gerrarchic method. The need for oxygen in the city of Semarang is increasing, but on the other hand the suppliers of Green Open Scace oxygen overall are decreasing. Accuracy of land cover Green Open Space Existing obtained gives good results, which is approximately &gt; 85.%. The calculation of the area of green open space with Gerrarkis method based on the population oxygen requirement, motor vehicles and industry, it is known that the total area of RTH of Semarang City in 2017 is 48,173.16 Ha, while the existing Green Open Scace area in Semarang city is 10,724.03 Ha. To get the ideal Green Open Scace area of Semarang City following Gerrarkis method, Semarang City must add Green Open Scace area of 37,449.13 % or equal.The Result of Estimation of RTH requirement in Semarang City for the year 2020 is equal to 51,585,38 Ha and in year 2030 increase become 74.334,18 Ha. The direction of RTH development in Semarang City is classified into two classes that are prioritized to increase the RTH and prioritized not to increase the RTH. Existing green space in Gunungpati sub-district of 2,040.91 Ha is still covered by RTH, with the requirement of RTH 1,949.30 Ha where RTH development directed priority does not increase RTH. Similarly with Banyumanik District which has an existing RTH of 3,691.95 Ha with the needs of RTH of 3.207.93 Ha of RTH development direction is also prioritized not to increase RTH. While the other 14 sub-districts in Semarang City lack of green open space, so it requires the addition of green open space.

Analisis Pengaruh Kerapatan Vegetasi Terhadap Suhu Permukaan dan Keterkaitannya Dengan Fenomena UHI

2020 ◽  
Vol 21 (1) ◽  
pp. 99
Author(s):  
Dewi Miska Indrawati ◽  
Suharyadi Suharyadi ◽  
Prima Widayani
Keyword(s):  
Urban Heat Island ◽  
Landsat 8 ◽  
Heat Island ◽  
Landsat 8 Oli ◽  
Urban Heat ◽  
Split Window Algorithm

Kota Mataram adalahpusat dan ibukota dari provinsi Nusa Tenggara Barat yang tentunya menjadi pusat semua aktivitas masyarakat disekitar daerah tersebut sehingga menyebabkan peningkatan urbanisasi. Semakin meningkatnya peningkatan urbanisasi yan terjadi di perkotaan akan menyebabkan perubahan penutup lahan, dari awalnya daerah bervegetasi berubah menjadi lahan terbangun. Oleh karena itu, akan memicu peningkatan suhu dan menyebabkan adanya fenomena UHI dikota Mataram.Tujuan dari penelitian ini untuk mengetahui hubungan kerapatan vegetasi dengan kondisi suhu permukaan yang ada diwilayah penelitian dan memetakan fenomena UHI di Kota Mataram. Citra Landsat 8 OLI tahun 2018 yang digunakan terlebih dahulu dikoreksi radiometrik dan geometrik. Metode untuk memperoleh data kerapatan vegetasi menggunakan transformasi NDVI, LST menggunakan metode Split Window Algorithm (SWA) dan identifikasi fenomena urban heat island. Hasil penelitian yang diperoleh menunjukkan kerapatan vegetasi mempunyai korelasi dengan nilai LST. Hasil korelasi dari analisis pearson yang didapatkan antara kerapatan vegetasi terhadap suhu permukaan menghasilkan nilai -0,744. Fenomena UHIterjadi di pusat Kota Mataram dapat dilihat dengan adanya nilai UHI yaitu 0-100C. Semakin besar nilai UHI, semakin tinggi perbedaan LSTnya.

PEMANFAATAN DATA PENGINDERAAN JAUH DAN TEKNOLOGI SIG UNTUK MENGIDENTIFIKASI BUILT UP AREA DAN KAITANNYA DENGAN RTRW DI KABUPATEN KENDAL

2019 ◽  
Vol 3 ◽  
pp. 521
Author(s):  
Mailendra Mailendra
Keyword(s):  
Supervised Classification ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 5 Tm

Integrasi data penginderaan jauh dengan sistem informasi geografis telah banyak dikembangkan, dan salah satunya dalam melihat perkembangan lahan terbangun. Tujuan penelitian ini adalah untuk melihat perkembangan lahan terbangun dan kesesuaiannya dengan Rencana Pola Ruang Kabupaten Kendal. Kemudian metode yang digunakan yaitu metode supervised classification dengan memanfaatkan data citra landsat 5 TM dan landsat 8 OLI yang selanjutnya dihitung luas dari masing lahan terbangun berdasarkan data temporal tahun 1990, tahun 2015 dan tahun 2017. Setelah diketahui luas lahan terbangun selanjutnya dioverlay dengan peta rencana pola ruang Kabupaten Kendal untuk melihat sesuai atau tidaknya penempatan lahan terbangun tersebut. Adapun hasil penelitiannya yaitu setiap tahunnya lahan terbangun terus meningkat di Kabupaten Kendal, terjadi peningkatan yang cukup signifikan dalam dua tahun terakhir yaitu tahun 2015 hingga tahun 2017. Selanjutnya diperkirakan 88 % lahan terbangun tersebut telah sesuai dengan RTRW karena sudah berada pada kawasan budidaya.

APLIKASI CITRA LANDSAT 8 OLI UNTUK IDENTIFIKASI STATUS TROFIK WADUK GAJAH MUNGKUR WONOGIRI, JAWA TENGAH

2017 ◽  
Vol 19 (2) ◽  
pp. 113
Author(s):  
Kusuma Wardani Laksitaningrum ◽  
Wirastuti Widyatmanti
Keyword(s):  
Chlorophyll A ◽  
Total Phosphorus ◽  
Trophic State ◽  
Water Clarity ◽  
Coefficient Of Determination ◽  
Physical Factors ◽  
Landsat 8 ◽  
Trophic State Index ◽  
Landsat 8 Oli ◽  
State Index

<p align="center"><strong>ABSTRAK</strong></p><p class="abstrak">Waduk Gajah Mungkur (WGM) adalah bendungan buatan yang memiliki luas genangan maksimum 8800 ha, terletak di Desa Pokoh Kidul, Kecamatan Wonogiri, Kabupaten Wonogiri. Kondisi perairan WGM dipengaruhi oleh faktor klimatologis, fisik, dan aktivitas manusia yang dapat menyumbang nutrisi sehingga mempengaruhi status trofiknya. Tujuan dari penelitian ini adalah mengkaji kemampuan citra Landsat 8 OLI untuk memperoleh parameter-parameter yang digunakan untuk menilai status trofik, menentukan dan memetakan status trofik yang diperoleh dari citra Landsat 8 OLI, dan mengevaluasi hasil pemetaan dan manfaat citra penginderaan jauh untuk identifikasi status trofik WGM. Identifikasi status trofik dilakukan berdasarkan metode <em>Trophic State Index</em> (TSI) Carlson (1997) menggunakan tiga parameter yaitu kejernihan air, total fosfor, dan klorofil-a. Model yang diperoleh berdasar pada rumus empiris dari hasil uji regresi antara pengukuran di lapangan dan nilai piksel di citra Landsat 8 OLI. Model dipilih berdasarkan nilai koefisien determinasi (R<sup>2</sup>) tertinggi. Hasil penelitian merepresentasikan bahwa nilai R<sup>2</sup> kejernihan air sebesar 0,813, total fosfor sebesar 0,268, dan klorofil-a sebesar 0,584. Apabila nilai R<sup>2 </sup>mendekati 1, maka semakin baik model regresi dapat menjelaskan suatu parameter status trofik. Berdasarkan hasil kalkulasi diperoleh distribusi yang terdiri dari kelas eutrofik ringan, eutrofik sedang, dan eutrofik berat yaitu pada rentang nilai indeks 50,051 – 80,180. Distribusi terbesar adalah eutrofik sedang. Hal tersebut menunjukkan tingkat kesuburan perairan yang tinggi dan dapat membahayakan makhluk hidup lain.</p><p><strong>Kata kunci: </strong>Waduk Gajah Mungkur, citra Landsat 8 OLI, regresi, TSI, status trofik</p><p class="judulABS"><strong>ABSTRACT</strong></p><p class="Abstrakeng">Gajah Mungkur Reservoir is an artificial dam that has a maximum inundated areas of 8800 ha, located in Pokoh Kidul Village, Wonogiri Regency. The reservoir’s water conditions are affected by climatological and physical factors, as well as human activities that can contribute to nutrients that affect its trophic state. This study aimed to assess the Landsat 8 OLI capabilities to obtain parameters that are used to determine its trophic state, identifying and mapping the trophic state based on parameters derived from Landsat 8 OLI, and evaluating the results of the mapping and the benefits of remote sensing imagery for identification of its trophic state. Identification of trophic state is based on Trophic State Index (TSI) Carlson (1997), which uses three parameters there are water clarity, total phosphorus, and chlorophyll-a. The model is based on an empirical formula of regression between measurements in the field and the pixel values in Landsat 8 OLI. Model is selected on the highest value towards coefficient of determination (R<sup>2</sup>). The results represented that R<sup>2</sup> of water clarity is 0.813, total phosphorus is 0.268, and chlorophyll-a is 0.584. If R<sup>2</sup> close to 1, regression model will describe the parameters of the trophic state better. Based on the calculation the distribution consists of mild eutrophic, moderate eutrophic, and heavy eutrophic that has index values from 50.051 to 80.18. The most distribution is moderate eutrophication, and it showed the high level of trophic state and may harm other living beings.</p><p><strong><em>Keywords: </em></strong><em>Gajah Mungkur Reservoir, </em><em>L</em><em>andsat 8 OLI satellite imagery, regression, TSI, trophic state</em></p>

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