Uso de sistema de informações geográficas para identificação da capacidade de susceptibilidade à movimentos de massa na bacia hidrográfica do Rio Caratinga, Minas Gerais

Este estudo teve como objetivo mapear a susceptibilidade a movimentos de massa na bacia hidrográfica do rio Caratinga. A metodologia adotada para a realização do estudo se baseou em uma análise multicritério, em ambiente de Sistemas de Informações Geográficas (SIG), de cinco fatores condicionantes para a ocorrência de movimentos de massa, sendo eles: declividade do terreno, uso e ocupação do solo, tipo de solo, intensidade de precipitação e escoamento superficial. Todos os procedimentos de geoprocessamento foram realizados no QGIS 2.14.9. A declividade foi obtida por meio dos modelos de declividade do Instituto Nacional de Pesquisas Espaciais (INPE). As imagens utilizadas para a classificação da cobertura do solo foram do satélite Landsat-8 OLI e classificadas no QGIS. A precipitação foi determinada por meio de interpolação pelo método Inverse Distance Weighted (IDW). A metodologia para modelagem do escoamento superficial foi a do Curve Number. Foram gerados mapas de susceptibilidade para cada critério separadamente e, posteriormente, aplicado o processo analítico hierárquico para determinar o resultado final. Do total analisado cerca de 33,1% apresentaram susceptibilidade Alta ou Muito Alta, com mais de 50% possuindo risco Moderado. O estudo demonstrou a funcionalidade da metodologia utilizada para o mapeamento de áreas de risco. Destaca-se a possibilidade da utilização deste procedimento em órgãos públicos, visando mitigar os impactos negativos causados pelos movimentos de massa, no ambiente rural e urbano. Palavras-chave: Geoprocessamento. Mapeamento. Movimentos de Massa. Multicritério. The use of geographic information system to identify the susceptibility capacity to mass movements in the Caratinga River casin, Minas Gerais Abstract This study aimed to map the susceptibility to mass movements in the Caratinga river basin. The adopted methodology was based on a multicriteria analysis, in GIS environment, of five conditioning factors for the occurrence of mass movements, being them: land slope, use and occupation of the land, soil type, precipitation intensity and surface runoff. All geoprocessing procedures were performed in QGIS 2.41.9. The slope was obtained through INPE slope models. The images used to classify the land covering were from the Landsat-8 OLI satellite and classified in the QGIS. Precipitation was determined through interpolation, using the IDW method. The methodology for surface flow modeling was that of the Curve Number. Susceptibility maps were generated separately for each criteria and, subsequently, the hierarchical analytical process was applied to determine the final result. From the analyzed total, about 33.1% showed high or very high susceptibility, with more than 50% having moderate risk. The study demonstrated the functionality of the used methodology for the risk areas mapping. We highlight the possibility of using this procedure in public agencies, in order to mitigate the negative impacts caused by mass movements, in the rural and urban environments. Keywords: Geoprocessing. Mapping. Mass Movements. Multicriteria.

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MANEJO, QUALIDADE E DINÂMICA DA DEGRADAÇÃO DE PASTAGENS NA MATA ATLÂNTICA DE MINAS GERAIS - BRASIL

Nativa ◽

10.31413/nativa.v6i4.5542 ◽

2018 ◽

Vol 6 (4) ◽

pp. 370 ◽

Cited By ~ 1

Author(s):

Luís Flávio Pereira ◽

Cecilia Fátima Carlos Ferreira ◽

Ricardo Morato Fiúza Guimarães

Keyword(s):

Remote Sensing ◽

Atlantic Forest ◽

Quality Index ◽

Minas Gerais ◽

Google Earth ◽

Landsat 8 ◽

Landsat 8 Oli ◽

Mata Atlântica ◽

Mata Atlantica ◽

Forest Biome

Pastagens sob práticas de manejo ineficientes tornam-se degradadas, provocando sérios problemas socioambientais e econômicos. Assim, entender a dinâmica dos sistemas pastoris e suas interações com o meio físico torna-se essencial na busca de alternativas sustentáveis para a agropecuária. Estudou-se manejo, dinâmica anual e interações socioambientais em pastagens de uma bacia hidrográfica no bioma Mata Atlântica em Minas Gerais, Brasil, durante o ano hidrológico 2016/2017. Utilizou-se dados de campo, relatos de agricultores e sensoriamento remoto via imagens LANDSAT 8 OLI e Google Earth Pro®. Foi proposto um índice de qualidade para pastagens da região. As pastagens apresentaram, em média, qualidade moderada. Níveis de degradação foram altos, oscilando de forma quadrática (níveis 2, 4, 5 e IDP) e potencial (nível 1) com a precipitação (p < 0,01), o que sugere que a irrigação possa ser prática eficiente no controle da degradação. Durante o ano, pelo menos 51,27% das pastagens apresentaram algum sinal de degradação, atingindo-se a marca de 91,32%, no período seco. Os resultados sugerem pior qualidade e maiores níveis de degradação de pastagens em terras elevadas e declivosas. Devido às condições socioambientais locais, indica-se o uso de sistemas silvipastoris agroecológicos no manejo das pastagens.Palavras-chave: uso da terra, sensoriamento remoto, relação solo paisagem, Zona da Mata, índice de qualidade. MANAGEMENT, QUALITY AND DEGRADATION DYNAMICS OF PASTURES IN ATLANTIC FOREST BIOME, MINAS GERAIS – BRASIL ABSTRACT:Pastures under inefficient management practices get degraded, leading to serious socioeconomic and environmental issues. That being said, understanding the dynamics of such systems and their interaction with the environment is essential when it comes to looking towards sustainable alternatives for livestock activities. The management, annual dynamics and socio-environmental interactions in pastures in an hydrographic basin located in Atlantic Forest biome, Minas Gerais, Brasil, were studied during the hydrological year of 2016/2017. Field data and farmers reports were utilized, such as remote sensing via images from LANDSAT 8 OLI and Google Earth Pro®. A quality index was proposed for the pastures, which usually presented medium quality. Degradation levels were high, oscillating in a quadratic basis (levels 2, 4, 5 and IDP) and potential (level 1) with precipitation (p < 0,01), which suggests that irrigation might be an efficient practice when it comes to degradation control. During the year, at least 51,27% of pastures have presented signs of degradation, achieving 91,32% in dry periods. The results suggest less quality and bigger degradation levels in pastures located in high and steep areas. Considering the local environmental conditions, agroecological silvopasture systems are recommended regarding the pastures management.Keywords: land use, remote sensing, soil/landscape relationships, Zona da Mata, quality index.

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Automated Subpixel Surface Water Mapping from Heterogeneous Urban Environments Using Landsat 8 OLI Imagery

Remote Sensing ◽

10.3390/rs8070584 ◽

2016 ◽

Vol 8 (7) ◽

pp. 584 ◽

Cited By ~ 35

Author(s):

Huan Xie ◽

Xin Luo ◽

Xiong Xu ◽

Haiyan Pan ◽

Xiaohua Tong

Keyword(s):

Surface Water ◽

Urban Environments ◽

Landsat 8 ◽

Landsat 8 Oli ◽

Water Mapping

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Hidrodinâmica em zona de perturbação de barragem tropical

Terr Plural ◽

10.5212/terraplural.v.14.2015782.057 ◽

2020 ◽

Vol 14 ◽

pp. 1-29

Author(s):

Alesson Pires Maciel Guirra ◽

Jaíza Santos Motta ◽

Ariadne Barbosa Gonçalves ◽

Antonio Conceição Paranhos Filho

Keyword(s):

Satellite Image ◽

Landsat 8 ◽

Mass Movements ◽

Multispectral Images ◽

Landsat 8 Oli ◽

Remotely Piloted Aircraft ◽

Hydrodynamic Processes ◽

Landsat 5 Tm ◽

True Color ◽

Sentinel 2

The region of water level fluctuation in reservoirs represents a disturbance zone that experiences exposure to cyclical flooding, due to its operations, inducing marginal mass movements that mix with the constant transport of sediments from adjacent hydrographic basins. The objective of this study is to determine the best source of multispectral images of medium spatial resolution to diagnose hydrodynamic processes, proposing a classification key based on the composition of satellite image bands. Besides, understand what the main types of mass movements occur and how natural and anthropic factors influence these events. For this, we qualitatively compare images from the Landsat-5 TM, Landsat 8 OLI, and Sentinel-2 MSI satellites, in combinations of simple bands and based on equation with detailed images obtained by remotely piloted aircraft. We found that the association between the simple composition true color 432 together with the composition VRE-VIS, adapted in this study, provides enhancements for transporting active sediments on exposed soil at the reservoir margins and the combination VNIR-VRE2, also adapted, presents better clarity concerning to the depth of the water depth.

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

Media Komunikasi Geografi ◽

10.23887/mkg.v21i1.24429 ◽

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.

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Application of Classification Techniques for Identification of Water Region in Multiple Sources using Landsat-8 OLI Imagery

2019 URSI Asia-Pacific Radio Science Conference (AP-RASC) ◽

10.23919/ursiap-rasc.2019.8738343 ◽

2019 ◽

Cited By ~ 1

Author(s):

Vikash K. Mishra ◽

T. Pant

Keyword(s):

Landsat 8 ◽

Landsat 8 Oli ◽

Multiple Sources ◽

Classification Techniques ◽

Water Region

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

Seminar Nasional Geomatika ◽

10.24895/sng.2018.3-0.1004 ◽

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.

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

MAJALAH ILMIAH GLOBE ◽

10.24895/mig.2017.19-2.633 ◽

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

ABSTRAKWaduk 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 Trophic State Index (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 (R2) tertinggi. Hasil penelitian merepresentasikan bahwa nilai R2 kejernihan air sebesar 0,813, total fosfor sebesar 0,268, dan klorofil-a sebesar 0,584. Apabila nilai R2 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.Kata kunci: Waduk Gajah Mungkur, citra Landsat 8 OLI, regresi, TSI, status trofikABSTRACTGajah 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 (R2). The results represented that R2 of water clarity is 0.813, total phosphorus is 0.268, and chlorophyll-a is 0.584. If R2 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.Keywords: Gajah Mungkur Reservoir, Landsat 8 OLI satellite imagery, regression, TSI, trophic state

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ANALISIS POTENSI DAERAH RESAPAN AIR KOTA PADANG

Seminar Nasional Geomatika ◽

10.24895/sng.2018.3-0.1025 ◽

2019 ◽

Vol 3 ◽

pp. 671

Author(s):

Quinoza Guvil ◽

Dwi Marsiska Driptufany ◽

Syahri Ramadhan

Keyword(s):

Landsat 8 ◽

Landsat 8 Oli

Kota Padang adalah kota dengan kekerapan hujan dan curah hujan yang cukup tinggi. Pembangunan di Kota Padang berbanding terbalik dengan daerah resapan air sehingga air hujan tergenang dan terjadi banjir. Tujuan dari penelitian ini adalah untuk mengestimasi sebaran kawasan resapan air berbasis penggunaan lahan aktual di Kota Padang berdasarkan data parameter spasial seperti curah hujan, kemiringan lereng, peta jenis tanah, dan penggunaan lahan yang diperoleh dari data citra landsat 8 OLI dengan metode klasifikasi berbasis objek. Metode yang digunakan dalam penelitian ini adalah metode skoring dan tumpang susun atau overlay. Penelitian ini memetakan sebaran kondisi daerah resapan air berdasarkan kondisi saat ini, penentuan daerah yang ditetapkan sebagai zona resapan air Kota Padang menggunakan metode kombinasi skoring dan aritmatik dalam analisis spasial. Hasil analisis menghasilkan enam kelas kondisi potensi daerah resapan air, yang terdiri dari kondisi baik, normal alami, mulai kritis, agak kritits, kritis dan sangat kritis. Kondisi kawasan resapan air dengan luasan terbesar yaitu seluas 69,79% dari luas wilayah daerah penelitian terdapat pada kondisi resapan baik. Kawasan ini tersebar di wilayah timur Kota Padang yang merupakan wilayah pegunungan dengan ketinggian bervariasi dan sangat curam yaitu >1000 mdpl. Kawasan potensi resapan air Kota Padang masih berfungsi baik dengan luasan terbesar terdapat di Kecamatan Koto Tangah seluas 16870,288 ha. Semakin baik infiltrasi suatu parameter maka semakin baik pula resapan air suatu kawasan.

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