scholarly journals Uzaktan Algılama Yöntemleri Uygulanarak Namak Gölü'nün Su Yüzeyindeki Değişimin Su İndeksleri (AWEI, MNDWI, NDWI VE WRI) Aracılığıyla Belirlenmesi

2021 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Hande ÖZVAN
Keyword(s):  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 7 ◽  
Landsat 5 Tm

Namak Gölü, İran’da bulunan Urmiye Gölü, Hazar Denizi ve diğer su kütlelerini oluşturan Paratetis denizinin bir kalıntısıdır. Göl, küçük bir tuz gölü olmanın yanı sıra deniz seviyesinden 790 metre yükseklikte yer almakta ve Kum (Qom) nehri tarafından beslenmektedir. Bununla birlikte, son yıllarda kuraklığın etkisiyle, azalan yüzey suyu ve artan tuzluluk oranı gölün kurumaya yüz tutmasına neden olmuştur. Bu çalışmada, 2001-2021 yılları arasında -belirlenen onar yıllık üç dönemde- Namak Gölü'nün mekânsal-zamansal değişimleri; Landsat 5-TM, Landsat 7-ETM+ ve Landsat 8-OLI görüntüleri kullanılarak hesaplanmıştır. Çalışmada, yüzey suyunun belirlenmesini sağlayan Normalleştirilmiş Fark Su İndeksi (NDWI), Modifiye Edilmiş Fark Su İndeksi (MNDWI), Su Oranı İndeksi (WRI) ve Landsat verilerinden yüzey suyunun çıkarılmasına imkân veren Otomatik Su Çıkarma İndeksi (AWEI) incelenmiştir. Sonuç olarak, 20 yıllık dönemde meydana gelen su yüzeyindeki değişiklikler alansal olarak (km²) karşılaştırılmış ve doğruluk oranı görece yüksek olan NDWI indeksinin, diğer indekslere göre yüzey suyunun belirlenmesinde daha faydalı bir yöntem olarak kullanılabileceği belirlenmiştir.

scholarly journals IMPACT OF COAL MINING IN FOREST AREA TO CARBON EMISSION IN KUTAI KARTANEGARA, EAST KALIMANTAN

2019 ◽  
pp. 1066-1074
Keyword(s):  
Coal Mining ◽  
Carbon Emissions ◽  
Landsat 8 ◽  
Mining Activities ◽  
Gas Release ◽  
Landsat 8 Oli ◽  
Mining Areas ◽  
East Kalimantan ◽  
Landsat 7 ◽  
Landsat 5 Tm

Coal mining is an activity that contribute to greenhouse gas emissions, both from methane gas release of coal trap and the loss of lan cover plants. This study was conducted to estimate carbon emissions in coal mining areas inside forest areas by analyzing changes in landcover. The area of this study is Kutai Kartanegara Regency, East Kalimantan, where coal mining activities are quite massive. To obtain the extent of changes in land cover and the amount of carbon emissions in the area, analysis of Landsat 5 TM and Landsat 7 ETM+ imagery in 2010 and also the 2016 Landsat 8 OLI / TIRS imagery was used. The results showed that in the area of study there was a change in landcover of 12,663.28 Ha in the forest areas used for coal mining activities. Carbon emissions generated from this activity amounted to 0.60 Mton CO2-Eq

scholarly journals PERUBAHAN LUAS LAHAN MANGROVE DAN PENGIKISAN PESISIR JEPARA MENGGUNAKAN ANALISIS KOMPONEN UTAMA SPEKTRAL PENGINDERAAN JAUH

2019 ◽  
Vol 5 (2) ◽  
pp. 45-53
Author(s):  
Tiara Agustin ◽  
Yudha Kristanto ◽  
Ogy Dwi Aulia
Keyword(s):  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 7 ◽  
Landsat 5 Tm

Konversi mangrove menjadi wilayah terbangun di sepanjang pesisir Kecamatan Kedung, Jepara menyebabkan kerentanan wilayah pesisir tersebut terhadap abrasi Laut Jawa. Abrasi telah mengikis wilayah daratan dan menggeser garis pantai. Perubahan luas lahan mangrove dan pergeseran garis pantai dideteksi dengan mengunakan kombinasi kanal merah, NIR, dan SWIR serta rasio kanal merah/SWIR dan SWIR/NIR dari citra Landsat 5 TM, Landsat 7 ETM+, dan Landsat 8 OLI multitemporal 1995-2017. Analisis komponen utama dari semua kanal dan rasio kanal tersebut yang dikombinasikan dengan teknik klasifikasi terbimbing dipilih untuk mengklasifikasikan tutupan lahan, termasuk membedakan vegetasi mangrove dengan vegetasi non mangrove serta membedakan wilayah daratan dengan wilayah lautan. Hasil analisis menunjukkan bahwa perubahan tutupan lahan mangrove menurun sebesar 668,95 ha atau sebesar 55% selama 1995-2017. Penurunan ini diikuti dengan meningkatnya luasan badan air atau laut akibat abrasi dan kawasan tambak. Laju penurunan tutupan lahan mangrove sebesar 30,7 ha/tahun, sedangkan laju peningkatan kawasan tambak sebesar  31,98 ha/tahun dan laju perubahan tutupan lahan pemukiman berkurang sebesar 15,6 ha/tahun. Akibat abrasi, garis pantai di sepanjang pesisir Kecamatan Kedung bergeser dengan laju 12,6 meter per tahun ke arah darat.

scholarly journals ANALISA PERUBAHAN GARIS PANTAI MENGGUNAKAN TEKNOLOGI PENGINDERAAN JAUH DI WILAYAH PESISIR KECAMATAN LAKUDO KABUPATEN BUTON TENGAH

2019 ◽  
Vol 4 (3) ◽  
pp. 143
Author(s):  
. Nurbiah ◽  
La Ode Muhammad Yasir Haya ◽  
A. Ginong Pratikino
Keyword(s):  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 7 ◽  
Landsat 5 Tm

Garis pantai adalah garis batas pertemuan antara daratan dan air laut, dimana posisinya tidak tetap dan dapat berpindah sesuai dengan pasang surut air laut dan erosi pantai. Penelitian ini bertujuan untuk mengestimasi perubahan garis pantai dan mengestimasi laju perubahan garis pantai menggunakan data Citra dari Tahun 1998-2018 di Wilayah Pesisir Kecamatan Lakudo, Kabupaten Buton Tengah.  Penelitian ini dilaksanakan pada bulan Januari-Mei Tahun 2019. Metode yang   digunakan  dalam penelitian ini adalah metode Overlay (tumpang susun) antara Citra Landsat 5 TM Tahun 1998, Citra Landsat 7 +ETM Tahun 2001 dan 2010 dan Citra Landsat 8 OLI  Tahun 2018. Hasil penelitian menunjukkan bahwa selama 20 tahun perubahan garis pantai yang terjadi di lokasi peneltian berupa abrasi dan akresi. Perubahan garis pantai berupa abrasi berkisar antara 11-156 m  terjadi di Desa Lolibu, Wajogu, Moko, Mone, Teluk Lasongko, Matawine, Wongko Lakudo, Lakudo, Gu Timur, Nepa Mekar, Boneoge, Waara dan One Waara. Sedangkan akresi berkisar antara 10-102 m terjadi di Desa Lolibu, Moko, Mone, Teluk Lasongko, Wongko Lakudo, Lakudo, Gu Timur, Nepa Mekar, Boneoge, Mandongka, Waara dan One Waara. Laju perubahan garis pantai berupa abrasi berkisar antara  0.55-7.80 m/thn sedangkan akresi berkisar antara 0.50-5.10 m/thn. Perubahan tersebut utamanya disebabkan oleh faktor  hidro-oseanografi yakni arus, pasut dan gelombang serta faktor antropogenik yakni pembangunan pemukiman, penambangan pasir dan degradasi hutan mangrove.Kata Kunci: Perubahan Garis Pantai, Citra Landsat, Kecamatan Lakudo 

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.

scholarly journals ALTERAÇÃO NA COBERTURA FLORESTAL DA REGIÃO NOROESTE DA AMAZÔNIA MATOGROSSENSE

Nativa ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 520
Author(s):  
Luani Rosa de Oliveira Piva ◽  
Rorai Pereira Martins Neto
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Forest Cover ◽  
Forest Conversion ◽  
Landsat 8 ◽  
Amazon Forest ◽  
Landsat 8 Oli ◽  
Mato Grosso ◽  
The Past ◽  
Landsat 5 Tm

Nos últimos anos, a intensificação das atividades antrópicas modificadoras da cobertura vegetal do solo em território brasileiro vem ocorrendo em larga escala. Para fins de monitoramento das alterações da cobertura florestal, as técnicas de Sensoriamento Remoto da vegetação são ferramentas imprescindíveis, principalmente em áreas extensas e de difícil acesso, como é o caso da Amazônia brasileira. Neste sentido, objetivou-se com este trabalho identificar as mudanças no uso e cobertura do solo no período de 20 anos nos municípios de Aripuanã e Rondolândia, Noroeste do Mato Grosso, visando quantificar as áreas efetivas que sofreram alterações. Para tal, foram utilizadas técnicas de classificação digital de imagens Landsat 5 TM e Landsat 8 OLI em três diferentes datas (1995, 2005 e 2015) e, posteriormente, realizada a detecção de mudanças para o uso e cobertura do solo. A classificação digital apresentou resultados excelentes, com índice Kappa acima de 0,80 para os mapas gerados, indicando ser uma ferramenta potencial para o uso e cobertura do solo. Os resultados denotaram uma conversão de áreas florestais principalmente para atividades antrópicas agrícolas, na ordem de 472 km², o que representa uma perda de 1,3% de superfície de floresta amazônica na região de estudo.Palavras-chave: conversão de áreas florestais; uso e cobertura do solo; classificação digital; análise multitemporal. CHANGE IN FOREST COVER OF THE NORTHWEST REGION OF AMAZON IN MATO GROSSO STATE ABSTRACT: In the past few years, the intensification of anthropic activities that modify the soil-vegetation cover in Brazil’s land has been occurring on a large scale. To monitor the forest cover changes, the techniques of Remote Sensing of vegetation are essential tools, especially in large areas and with difficult access, as is the case of the Brazilian Amazon. The aim of this work was to identify the changes in land use and land cover, over the past 20 years, in the municipalities of Aripuanã and Rondolândia, Northwest of Mato Grosso State, in order to quantify the effective altered areas. Landsat 5 TM and Landsat 8 OLI digital classification images techniques were used in three different dates (1995, 2005 and 2015) and, later, the detection to the land use and land cover changes. The digital classification showed excellent results, with kappa index above 0.80 for the generated maps, indicating the digital classification as a potential tool for land use and land cover. Results reflect the conversion of forest areas mainly for agricultural activities, in the order of 472 km², representing a loss of 1.3% of Amazon forest surface in the study region.Keywords: forest conversion; land use and land cover; digital classification; multitemporal analysis.

scholarly journals NDVI e SAVI como ferramentas de monitoramento das modificações no uso e ocupação do solo no sudoeste paraense

2022 ◽  
Vol 11 (1) ◽  
pp. e47611122583
Author(s):  
Hellem Cristina Teixeira Rodrigues ◽  
Rayssa Soares da Silva ◽  
Francimary da Silva Carneiro ◽  
Charles Benedito Gemaque Souza ◽  
Tamires Borges de Oliveira ◽  
...  
Keyword(s):  
United States ◽  
De Novo ◽  
Geological Survey ◽  
United States Geological Survey ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 5 Tm

Sensoriamento Remoto é um uma tecnologia que permite aquisição de informações sobre áreas ou objetos sem manter contato físico. Esse trabalho objetivou utilizar imagens de satélites passivos, por meio dos índices de cobertura vegetal, como o Índice de Vegetação por Diferença Normalizada (NVDI) e Índice de Vegetação Ajustado para o Solo (SAVI), nos anos de 2008 e 2018, para identificar as modificações sofridas em 10 anos da comunidade Comunidade Linha Gaúcha localizada no município de Novo progresso no estado do Pará. Para este trabalho, foram utilizados dados provenientes do IBAMA, como a localização espacial da Comunidade e imagens da plataforma United States Geological Survey (USGS), para os anos de 2008(Landsat 5 – TM) e 2018 (Landsat 8 – OLI). Por meio do método de NDVI e SAVI foi possível analisar a expansão urbana em torno da comunidade num raio de 50 km, assim como observar a intensa modificação no uso e ocupação do solo, estando este fato intimamente ligado à presença da rodovia Transamazônica, importante agente de crescimento na Amazônia.

scholarly journals Estimation of PM10 Distribution using Landsat5 and Landsat8 Remote Sensing

Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1430
Author(s):  
V. M. Fernández-Pacheco ◽  
C. A. López-Sánchez ◽  
E. Álvarez-Álvarez ◽  
M. J. Suárez López ◽  
L. García-Expósito ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Air Pollutants ◽  
Satellite Images ◽  
Satellite Image ◽  
Remote Sensing Image ◽  
Regional Studies ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 5 Tm ◽  
Source Of Information

Air pollution is one of the major environmental problems, especially in industrial and highly populated areas. Remote sensing image is a rich source of information with many uses. This paper is focused on estimation of air pollutants using Landsat-5 TM and Landsat-8 OLI satellite images. Particulate Matter with particle size less than 10 microns (PM10) is estimated for the study area of Principado de Asturias (Spain). When a satellite records the radiance of the surface received at sensor, does not represent the true radiance of the surface. A noise caused by Aerosol and Particulate Matters attenuate that radiance. In many applications of remote sensing, that noise called path radiance is removed during pre-processing. Instead, path radiance was used to estimate the PM10 concentration in the air. A relationship between the path radiance and PM10 measurements from ground stations has been established using Random Forest (RF) algorithm and a PM10 map was generated for the study area. The results show that PM10 estimation through satellite image is an efficient technique and it is suitable for local and regional studies.

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