Lithologic mapping of a forested montane terrain from Landsat 5 TM image

2018 ◽  
Vol 34 (7) ◽  
pp. 750-768 ◽  
Author(s):  
Taufique H. Mahmood ◽  
Khaled Hasan ◽  
Syed Humayun Akhter
2015 ◽  
Vol 8 (1) ◽  
pp. 056
Author(s):  
Mariana Madruga De Brito

Movimentos de massa são fenômenos naturais caracterizados pelo deslocamento de solo e rocha vertente abaixo. Quando esses processos ocorrem em áreas urbanizadas, podem causar perdas econômicas, impactos sociais e, em casos extremos, perda de vidas humanas. Na tentativa de mitigar tais desastres, torna-se necessário mapear os locais já afetados pelos mesmos, uma vez que escorregamentos recentes podem sugerir futuros padrões de instabilidade. Nesse sentido, este trabalho teve por objetivo mapear as cicatrizes de movimentos de massa em um segmento da Borda Oriental da Bacia do Paraná, por meio do processamento de uma imagem Landsat 5-TM, órbita/ponto 220/80, data de passagem 28/08/2009. Para facilitar a discriminação destas feições, elaboraram-se composições coloridas RGB e processamentos tais como Ampliação Linear de Contraste (ALC), razão entre bandas e Análise por Componentes Principais (PCA). A fim de validar o inventário elaborado, utilizaram-se imagens de alta resolução disponíveis no software Google Earth®. Ao total, foram identificadas 63 cicatrizes com a imagem Landsat 5-TM e 121 cicatrizes com as imagens do Google Earth®. Os principais tipos de movimentos de massa mapeados são escorregamentos translacionais rasos e corrida de detritos. A identificação das cicatrizes foi possível devido às diferenças de tonalidade, cor, matiz e textura nas imagens orbitais após a ocorrência desses processos. Os resultados obtidos representam um passo inicial para a análise da suscetibilidade da área.     A B S T R A C T Mass movements are natural phenomena characterized by the downslope movement of soil and rock. When these processes occur in urban areas they can cause economic losses, social impacts and, in extreme cases, loss of human lives. In an attempt to mitigate such disasters, it is necessary to map sites affected by them, since recent landslides may suggest future patterns of instability. In this sense, this study aimed to map the mass movement scars in a segment of the Eastern Edge of the Paraná Basin, through the processing of a Landsat 5-TM image, 220/80 orbit-point and date of passage 08/28/2009. To facilitate the recognition of these features, RGB color compositions and image processing techniques such as contrast stretching, ratio between bands and Principal Component Analysis (PCA) were applied. In order to validate the inventory, high-resolution images available at Google Earth® software were used. Totally, 63 scars were identified with the Landsat 5-TM image and 121 with Google Earth® images. The main types of mass movements mapped are translational landslides and debris flows. The identification of the scars was possible due to differences in tone, color, hue and texture at the orbital images after the occurrence of such processes. Results obtained represent an initial step towards the susceptibility analysis of the area. Keywords: Landslide inventory; Digital image processing; Satellite images; Geoprocessing.  


2009 ◽  
pp. 11-24 ◽  
Author(s):  
Alessandro Fornaciai ◽  
Marina Bisson ◽  
Francesco Mazzarini ◽  
Paola Del Carlo ◽  
Giorgio Pasquarè

FLORESTA ◽  
2002 ◽  
Vol 32 (1) ◽  
Author(s):  
Fábio Minoru Yamaji ◽  
Christel Lingnau ◽  
Carlos Roberto Sanquetta

Esta pesquisa utilizou a geometria fractal para analisar o padrão da paisagem de uma Floresta Ombrófila Mista alterada. A partir da imagem classificada do Landsat-5 TM, onde foram definidas 8 classes, determinou-se os índices da dimensão fractal "D" e do parâmetro de Pareto "a" para cada tipologia. Com a análise fractal foi possível associar o padrão de cobertura com os índices calculados. Os resultados mostraram que os fragmentos de araucária são os maiores (apresentando um parâmetro de Pareto "a"@16,5) e têm as bordas mais sinuosas (onde o índice da dimensão fractal "D"@1,42). Os menores fragmentos são de capoeira ("a"@13,3) e os fragmentos com as bordas mais simples são da classe água ("D"@1,25). Este estudo mostrou que a análise fractal fornece índices que diminuem o grau de subjetividade na avaliação da fragmentação da paisagem. Use of Fractals in Fragmentation Analysis of Mixed Araucária Forest by Satellite Images Abstract This research aimed the use of fractals to analyze the landscape pattern of a Mixed Araucaria Forest. From the classified Landsat-5 TM image 8 classes were defined and then the fractal dimension "D" and the Pareto parameter "a", for each class, were determined. By using the fractal analysis it was possible to relate land cover pattern and estimated indices. The results showed that araucaria has the largest fragments (with Pareto parameter "a"@16,5) and more complicated perimeters (where fractal dimension "D"@1,42). The smaller fragments ("a"@13,3) are brush, and water has smoother perimeter ("D"@1,25). This study demonstrated that fractal analysis provide indices to reduce the subjectivity level in the evaluation of the landscape fragmentation.


2016 ◽  
Vol 13 (3) ◽  
pp. 5551
Author(s):  
Ayse Atalay Dutucu ◽  
Cercis İkiel

The aim of this study is to analyze the change of land cover of Çarşamba Plain and its surroundings by remote sensing and geographic information systems. For this purpose, Landsat 5 TM image at a resolution of 30 km for the year 1985, and the RapidEye satellite image at 6.5 m. resolution,for the year 2013 is used. These images were analyzed by geographic information systems via on-screen digitization method. According to the results obtained, significant changes in the land cover of the survey area between 1985-2013 have been determined. These findings were compared with the Land Surveillance System, the National Land Cover Database, which was created by the T.C Forest and Water Affairs Ministry and similar results were obtained. It has ben determined that there ise a change in decreasing direction in the forest and pasture areas in the examined period. Also beach areas is getting smaller because of coastal eroision. However, settlement areas expanded due to population increase in the same period. ÖzetBu çalışmanın amacı Çarşamba Ovası ve yakın çevresinde arazi örtüsü değişimini uzaktan algılama ve coğrafi bilgi sistemleri kullanılarak analiz etmektir. Bu amaç doğrultusunda 1985 yılı için 30 km çözünürlüğünde Landsat 5 TM, 2013 yılı için 6.5 m. çözünürlüğünde RapidEye uydu görüntüsü kullanılmıştır. Bu görüntüler coğrafi bilgi sistemleri ile ekran üzerinden sayısallaştırma yöntemiyle analiz edilmiştir. Elde edilen sonuçlara göre, 1985-2013 yılları arasında araştırma alanının arazi örtüsünde önemli değişiklikler tespit edilmiştir. Bu bulgular, T.C Orman ve Su İşleri Bakanlığı tarafından oluşturulan Arazi İzleme Sistemi, Ulusal Arazi Örtüsü veri tabanı ile karşılaştırılmıştır.


2019 ◽  
Vol 3 ◽  
pp. 521
Author(s):  
Mailendra Mailendra

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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