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Journal articles on the topic 'TM Landsat 8 OLI'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Szabó, Loránd, Márton Deák, and Szilárd Szabó. "Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary." Landscape & Environment 10, no. 2 (2016): 53–62. http://dx.doi.org/10.21120/le/10/2/1.

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Satellite images are important information sources of land cover analysis or land cover change monitoring. We used the sensors of four different spacecraft: TM, ETM+, OLI and ALI. We classified the study area using the Maximum Likelihood algorithm and used segmentation techniques for training area selection. We validated the results of all sensors to reveal which one produced the most accurate data. According to our study Landsat 8’s OLI performed the best (96.9%) followed by TM on Landsat 5 (96.2%) and ALI on EO-1 (94.8%) while Landsat 7’s ETM+ had the worst accuracy (86.3%).

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Dong, Ruolin, and Xiaodong Na. "Quantitative Retrieval of Soil Salinity Using Landsat 8 OLI Imagery." Applied Sciences 11, no. 23 (2021): 11145. http://dx.doi.org/10.3390/app112311145.

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Soil salinization is the main reason for declining soil quality and a reduction in agricultural productivity. We derive the spatial distribution of soil moisture from the temperature vegetation dryness index (TVDI) of Landsat TM-8 OLI images to analyze the effect of spatial heterogeneity of soil moisture on the retrieval accuracy of soil salinity. We establish five soil salinity inversion models for different soil moisture levels (drought levels) based on the canopy response salinity index (CRSI), normalized difference vegetation index (NDVI), and automatic water extraction index (AWEI) derive

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Tirani, N. R., S. Supriatna, and A. Wibowo. "Impact of the climate on fishing locations of fish Larvae in Palabuhanratu bay." IOP Conference Series: Earth and Environmental Science 1089, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1755-1315/1089/1/012004.

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Abstract The phenomenon of climate change influences primary production, food chain interactions, and distribution of fisheries species. Sukabumi Regency, especially Palabuhanratu Bay, is a fishing ground for fish larvae. Fish larvae are an essential phase in supporting the existence of fish resources. The study aims to determine the spatial distribution of fish larvae locations in Palabuhanratu Bay and analyze the relationship between the phenomenon of climate change and fish larvae locations. The variables are rainfall, salinity, sea surface temperature, currents, and tides. The phenomenon o

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Anitawati, M. Golok Jaya Laode, Saleh Fitra, and Hidayat Ahmad. "Prediksi Perubahan Penggunaan Lahan Menggunakan Citra Landsat Multiwaktu Dengan Metode Land Change Modeler." JAGAT (Jurnal Geografi Aplikasi Dan Teknologi) 3, no. 2 (2019): 42–48. https://doi.org/10.5281/zenodo.3607242.

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<strong>Abstrak͟͟ :</strong> Kota Kendari merupakan ibukota Provinsi Sulawesi Tenggara yang terletak di selatan garis khatulistiwa. Penggunaan lahan di Kota Kendari dapat dipetakan dengan menggunakan software ENVI 4.5 Penelitian ini bertujuan untuk mengetahui penggunaan lahan di Kota Kendari dengan berdasarkan citra Landsat multiwaktu dari tahun 1997 hingga  2007 dan 2017 dan mengetahui prediksi perubahan penggunaan lahan dalam kurun waktu 10 tahun mendatang. Proses dilakukan dengan mengolah data citra Landsat TM, dan Landsat 8 OLI/TIRS pada software ENVI 4.5. Metode yang digunakan dalam

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Nguyen, Thanh Tien. "Fractional Vegetation Cover Change Detection In Megacities Using Landsat Time-Series Images: A Case Study Of Hanoi City (Vietnam) During 1986-2019." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 12, no. 4 (2019): 175–87. http://dx.doi.org/10.24057/2071-9388-2019-112.

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The objective of the study is to assess changes of fractional vegetation cover (FVC) in Hanoi megacity in period of 33 years from 1986 to 2016 based on a two endmember spectral mixture analysis (SMA) model using multi-spectral and multi-temporal Landsat-5 TM and -8 OLI images. Landsat TM/OLI images were first radiometrically corrected. FVC was then estimated by means of a combination of Normalized Difference Vegetation Index (NDVI) and classification method. The estimated FVC results were validated using the field survey data. The assessment of FVC changes was finally carried out using spatial

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Taani, Aymen, and Yusra Al-Husban. "Detection of the Land Surface Temperature Changes in Ma’an Governorate using Remote Sensing Data during the Period (1990-2018)." Dirasat: Human and Social Sciences 49, no. 6 (2022): 358–66. http://dx.doi.org/10.35516/hum.v49i6:.4034.

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This paper investigates multi-temporal land surface temperature (LST) for large ungauged areas of Ma’an Governorate, Jordan, based on changes in normalized difference vegetation index (NDVI) using remotely sensed data. Five mosaic images were taken for both the 1990 and 2018 years by Landsat 5 (TM) and Landsat 8 (OLI) (path/row, 174/36- 174/37). These were used as the basic data source, where most of Ma’an Governorate has no meteorological stations. The five-mosaic images for both Landsat 5 and Landsat 8-OLI were taken in September. LST and NDVI maps have been generated to determine the change

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Wouthuyzen, Sam, and Fasmi Ahmad. "Pemetaan Mangrove Kepulauan Lease, Provinsi Maluku Menggunakan Data Multi-Temporal Dan Multi-Sensor Citra Satelit Landsat." Oseanologi dan Limnologi di Indonesia 3, no. 1 (2018): 19. http://dx.doi.org/10.14203/oldi.2018.v3i1.134.

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<strong>Mangrove Mapping of The Lease Islands, Maluku Province Using Multi-Temporal And Multi-Sensor Of Landsat Satellite Images.</strong> Mangrove mapping in the Lease Islands, Maluku Province has been done, but using only a single date satellite image. Therefore, it is difficult to know the dynamics of their changes. The aim of this study is to map mangroves every 5 year (1985-2015) using multi-sensors (MSS, TM, ETM+ and OLI) of Landsat and field data. Supervised classification using maximum likelihood was used for classifying mangrove and other habitats, and counting their areas

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8

Orhan, O., and M. Yakar. "Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 285–89. http://dx.doi.org/10.5194/isprs-archives-xli-b8-285-2016.

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The main purpose of this paper is to investigate multi-temporal land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) changes of Konya in Turkey using remotely sensed data. Konya is located in the semi-arid central Anatolian region of Turkey and hosts many important wetland sites including Salt Lake. Six images taken by Landsat-5 TM and Landsat 8- OLI satellites were used as the basic data source. These raw images were taken in 1984, 2011 and 2014 intended as long-term and short-term. Firstly, those raw images was corrected radiometric and geometrically within the sc

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Orhan, O., and M. Yakar. "Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 285–89. http://dx.doi.org/10.5194/isprsarchives-xli-b8-285-2016.

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The main purpose of this paper is to investigate multi-temporal land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) changes of Konya in Turkey using remotely sensed data. Konya is located in the semi-arid central Anatolian region of Turkey and hosts many important wetland sites including Salt Lake. Six images taken by Landsat-5 TM and Landsat 8- OLI satellites were used as the basic data source. These raw images were taken in 1984, 2011 and 2014 intended as long-term and short-term. Firstly, those raw images was corrected radiometric and geometrically within the sc

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Ghodieh, Ahmed. "An Analysis on the Impact of Normalized Difference Vegetation Index (NDVI) Changes on the Land Surface Temperature (LST) using Satellite Imagery in the West Bank, Palestine." Journal of Arts and Social Sciences [JASS] 15, no. 1 (2024): 23–38. http://dx.doi.org/10.53542/jass.v15i1.6488.

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Abstract This study investigated the impact of the Normalized Difference Vegetation Index (NDVI) on the Land Surface Temperature (LST) in the West Bank, Palestine, using multitemporal satellite imagery. Landsat 5 TM and Landsat 8 OLI data were used in the study. The Landsat 5 TM data was acquired on March 29, 2001, while the Landsat 8 OLI data was acquired on April 05, 2021. The NDVI and the LST for the two images were then calculated from the two images using ArcGIS 10.8 software. Results of the study showed that the NDVI of the 2021 image was much higher than that of the 2001 image. Th

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Almonacid Caballer, J. "Obtención de línea de costa con precisión sub-píxel a partir de imágenes Landsat (TM, ETM+ y OLI)." Revista de Teledetección, no. 43 (June 26, 2015): 97. http://dx.doi.org/10.4995/raet.2015.3916.

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<div data-canvas-width="237.1424220225932">En esta tesis se presenta y evalúa una metodología para la obtención automática de líneas de costa con precisión sub-píxel a partir de imágenes adquiridas por los sensores TM, ETM+ y OLI de los satélites Landsat 5, 7 y 8, respectivamente</div>

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Deidda, M., A. Pala, and G. Sanna. "A NEW IDL IMPLEMENTATION OF THE JUPP METHOD FOR BATHYMETRY EXTRACTION IN SHALLOW WATERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 467–74. http://dx.doi.org/10.5194/isprs-archives-xli-b7-467-2016.

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There is an ongoing effort in using imagery from remote sensing platforms to obtain information about the sea depth; this allows to monitor the dynamics of coastal erosion without the need for costly and repeated local surveys. We worked on a new implementation of the Jupp method to extract depth information from satellite images. Our software is based on previous implementations of the algorithm in the IDL language, but we made our current implementation more modular in order to make possible experimentations with different approaches. We used this implementation on a series of six images (th

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Deidda, M., A. Pala, and G. Sanna. "A NEW IDL IMPLEMENTATION OF THE JUPP METHOD FOR BATHYMETRY EXTRACTION IN SHALLOW WATERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 467–74. http://dx.doi.org/10.5194/isprsarchives-xli-b7-467-2016.

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There is an ongoing effort in using imagery from remote sensing platforms to obtain information about the sea depth; this allows to monitor the dynamics of coastal erosion without the need for costly and repeated local surveys. We worked on a new implementation of the Jupp method to extract depth information from satellite images. Our software is based on previous implementations of the algorithm in the IDL language, but we made our current implementation more modular in order to make possible experimentations with different approaches. We used this implementation on a series of six images (th

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14

Dhillon, Maninder Singh, Thorsten Dahms, Carina Kübert-Flock, et al. "Impact of STARFM on Crop Yield Predictions: Fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany." Remote Sensing 15, no. 6 (2023): 1651. http://dx.doi.org/10.3390/rs15061651.

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Rapid and accurate yield estimates at both field and regional levels remain the goal of sustainable agriculture and food security. Hereby, the identification of consistent and reliable methodologies providing accurate yield predictions is one of the hot topics in agricultural research. This study investigated the relationship of spatiotemporal fusion modelling using STRAFM on crop yield prediction for winter wheat (WW) and oil-seed rape (OSR) using a semi-empirical light use efficiency (LUE) model for the Free State of Bavaria (70,550 km2), Germany, from 2001 to 2019. A synthetic normalised di

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15

Huang, Xiaodong, Wenkai Liu, Yuping Han, Chunying Wang, Han Wang, and Sai Hu. "Performance Evaluation and Comparison of Modified Spectral Mixture Analysis Method for Different Images of Landsat Series Satellites." Sustainability 11, no. 22 (2019): 6227. http://dx.doi.org/10.3390/su11226227.

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Urban impervious surface is considered one of main factors affecting urban heat island and urban waterlogging. It is commonly extracted utilizing the original linear spectral mixture analysis (LSMA) model. However, due to the deficiencies of this method, many improvements and modifications have been proposed. In this paper, a modified dynamic endmember linear spectral mixture analysis (DELSMA) model was introduced and tested in Zhengzhou, China, using different images of Landsat series satellites. The accuracy and performance of DELSMA model was evaluated in terms of R M S E , r and R 2 . Resu

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Cunha, Cassandra de Sousa. "Evolução da mancha urbana de Piripiri-PI: uso de imagens de satélites para análise espacial urbana." Somma: Revista Cientifica do Instituto Federal de Educação, Ciência e Tecnologia do Piauí 3, no. 2 (2017): 23–30. http://dx.doi.org/10.51361/somma.v3i2.101.

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This work presents a reflection on the result of the urban profile in which the city of Piripiri-PI has been configured in recent years through visual analysis of satellite images LANDSAT 5-TM and LANDSAT 8-OLI. The methodological procedures involved bibliographical, documentary and field research. As a result, it is observed that the city has as inducers of its urban expansion, housing complexes and popular subdivisions as a reflection of the national housing policies that have been in force in the last seven years, playing an important role in the socio-spatial configuration of the city.

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17

Clemente, Carlos Magno Santos, and Pablo Santana Santos. "GEOTECNOLOGIAS COMO SUPORTE PARA ANÁLISE DA VEGETAÇÃO NATURAL NA SUB-BACIA HIDROGRÁFICA DO RIO GAVIÃO (1988 A 2015)." Revista Cerrados 15, no. 01 (2020): 98–113. http://dx.doi.org/10.22238/rc24482692v15n12017p98a113.

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O histórico de ocupação da sub-bacia do rio Gavião passou por transformações socioeconômicas expressivas nos últimos 30 anos. Desse modo,preocupações com preservação ou recuperação da cobertura vegetal influência, positivamente, na manutenção do ciclo hidrológico da sub-bacia. A presente pesquisa teve como objetivo analisar a modificação da vegetal natural entre os anos de 1988a 2015 na sub-bacia hidrográfico do rio Gavião (semiárido brasileiro). Foram utilizados as técnicas sensoriamento remoto e Processamento Digital de Imagens - PDI para aquisição e processamento dos produtos orbitais (saté

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Santos, Maria Paloma Alves dos, José Hugo Simplicio de Sousa, Abdalan Andrade do Nascimento, George do Nascimento Ribeiro, Leonardo Souza do Prado Júnior, and Jose Nunes de Oliveira Neto. "Volume hídrico por processamento digital de imagens de açude público em Sumé, Paraíba." Revista Verde de Agroecologia e Desenvolvimento Sustentável 17, no. 3 (2022): 215–20. http://dx.doi.org/10.18378/rvads.v17i3.9622.

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A referente pesquisa ressalta a importância da água, enfatizando o conhecimento da quantidade do volume em armazenamento, como uma propositura indispensável, principalmente em regiões onde há irregularidades na quantidade de chuvas e na distribuição ao longo do tempo. O sensoriamento remoto vem ganhando muito espaço no manejo de bacias, pois ajuda a identificar e a monitorar possíveis mudanças nos recursos naturais. O açude público de Sumé se encontra localizado na bacia hidrográfica do Alto Rio Paraíba, região do Cariri paraibano, tendo capacidade máxima de armazenamento de 44,8 milhões de m3

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Macarof, Paul, Stefan Groza, and Florian Statescu. "Investiganting Correlation LST and Vegetation Indices Using Landsat Images for the Warmest Month: A Case Study of Iasi County." Annals of Valahia University of Targoviste, Geographical Series 18, no. 1 (2018): 33–40. http://dx.doi.org/10.2478/avutgs-2018-0004.

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Abstract In this paper is investigating correlation between land surface temperature and vegetation indices (Normalized Difference Vegetation Index - NDVI, Enhanced Vegetation Index 2 - EVI2 and Modified Soil Adjusted Vegetation Index - MSAVI) using Landsat images for august, the warmest month, for study area. Iaşi county is considered as study area in this research. Study Area is geographically situated on latitude 46°48'N to 47°35'N and longitude 26°29'E to 28°07'E. Land surface temperature (LST) can be used to define the temperature distribution at local, regional and global scale. First us

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Fernández-Pacheco, V. M., C. A. López-Sánchez, E. Álvarez-Álvarez, et al. "Estimation of PM10 Distribution using Landsat5 and Landsat8 Remote Sensing." Proceedings 2, no. 23 (2018): 1430. http://dx.doi.org/10.3390/proceedings2231430.

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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 at

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Borges Machado, Adilson Matheus. "COMPARAÇÃO DE IMAGENS OLI/LANDSAT-8 E MSI/SENTINEL-2 NO MAPEAMENTO DE USO E COBERTURA DA TERRA NA ILHA DO MARANHÃO." REVISTA EQUADOR 9, no. 3 (2020): 209–32. http://dx.doi.org/10.26694/equador.v9i3.10451.

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Sensores de satélites ópticos com boa resolução espacial, como Landsat Thematic Mapper (TM) e MSI/Sentinel-2, são importantes fontes de informações para investigações científicas do ambiente, agricultura, silvicultura e desenvolvimento urbano. O presente estudo tem o objetivo de identificação e delimitação das diferentes classes uso e cobertura da terra do da Ilha do Maranhão, buscando comparar a resposta das imagens provenientes dos sensores orbitais OLI/Landsat-8 e MSI/Sentinel-2. A metodologia partiu da obtenção de imagens orbitais da área, passando por etapas de pré-processamento, geração

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Tiesse, Cyrille Bi, Eboua Narcisse Wandan, and Hyppolite Dibi N’da. "Apport De La Teledetection Pour Le Suivi SpatioTemporel De L’occupation Du Sol Dans La Region Montagneuse Du Tonkpi (Cote D’ivoire)." European Scientific Journal, ESJ 13, no. 15 (2017): 310. http://dx.doi.org/10.19044/esj.2017.v13n15p310.

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Objective: This study aims to characterize and to map vegetation cover in the mountainous region of Tonkpi in order to evaluate forest dynamics by remote sensing. Methodology and Results: This work relied on four satellite images of the scene 198-55 Landsat 4 TM 1990 from Landsat 7 ETM+ in 2000, Landsat 5 TM 2011 and Landsat 8 OLI-SHOTS 2015. Based on field data, classification was conducted using the maximum likelihood method in satellite images (OLI-SHOTS, ETM + and TM) in order to map vegetation from 1990 to 2015. These maps were superimposed to the Digital elevation model produced from an

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Tabark Y. Gehad, Nejat Q. Omer, and Nada S. Abdulmajeed. "Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate." Journal of Techniques 6, no. 2 (2024): 71–82. http://dx.doi.org/10.51173/jt.v6i2.1915.

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The growth of cities around the world creates difficulties for governments due to the strain it puts on resources and the negative impact on the environment and living conditions for residents. The Kirkuk Governorate has experienced significant urban growth in recent years, causing various environmental, economic, and social issues. the study aims to monitor the growth of Kirkuk Governorate from 1990-2020 using multi-spectral Landsat images to better understand urban development. Landsat-5 TM for 1990, Landsat-7 ETM+ for 2000, Landsat-5 TM for 2010, and Landsat-8 OLI for 2020 were used for thi

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Hamuna, Baigo, and Rosye H. R. Tanjung. "Deteksi Perubahan Luasan Mangrove Teluk Youtefa Kota Jayapura Menggunakan Citra Landsat Multitemporal." Majalah Geografi Indonesia 32, no. 2 (2018): 115. http://dx.doi.org/10.22146/mgi.33755.

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Kondisi mangrove di kawasan Teluk Youtefa, baik dari aspek kualitas maupun kuantitasnya terus mengalami penurunan dari tahun ke tahun. Penelitian ini dilakukan untuk mengetahui seberapa besar perubahan luasan mangrove yang terjadi di kawasan Teluk Youtefa, Kota Jayapura dari tahun 1994 sampai tahun 2017 dengan menggunakan citra satelit Landsat 5 TM dan Landsat 8 OLI. Pengamatan kondisi mangrove di lapangan dilakukan dengan menggunakan GPS dan pengolahan citra menggunakan algoritma NDVI dengan klasifikasi supervised. Tumpang susun peta hasil interpretasi citra satelit untuk mengetahui sebaran d

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Frazão, Ana Paula, Venerando Eustáquio Amaro, and Silvio Braz de Sousa. "ANÁLISE DA DINÂMICA DE USO E COBERTURA DA TERRA NA REGIÃO METROPOLITANA DE NATAL NO PERÍODO DE 1984 A 2018." Sociedade e Território 33, no. 1 (2021): 31–53. http://dx.doi.org/10.21680/2177-8396.2021v33n1id24090.

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Mapas de cobertura e uso da terra são importantes ferramentas de ordenamento territorial. Este estudo buscou compreender e quantificar o uso e a cobertura da terra na Região Metropolitana de Natal nos anos de 1984 e 2018, a partir de um processo de classificação supervisionada (algoritmo de Bhattacharya) de um compositie anual de imagens LANDSAT 5-TM e LANDSAT 8-OLI. Os resultados apontam que entre 1984 e 2018 (34 anos) ocorreu intensa e rápida conversão das áreas de vegetação (redução de ~1.402 km²) e sua apropriação para atividades antrópicas, predominantemente agropecuária. Também se consta

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Zhao, Cong, Zihua Wu, Qiming Qin, and Xin Ye. "A Framework of Generating Land Surface Reflectance of China Early Landsat MSS Images by Visibility Data and Its Evaluation." Remote Sensing 14, no. 8 (2022): 1802. http://dx.doi.org/10.3390/rs14081802.

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The Landsat time-series dataset is one of the most widely used datasets for land surface research due to its long time-series and Land Surface Reflectance (LSR) product. Though the United States Geological Survey (USGS) provides Landsat LSR products for later Landsat 4–5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8 Operational Land Imager (OLI), no early Landsat 1–5 Multispectral Scanner System (MSS) LSR product is generated currently, limiting the research traced back to the 1970s. Atmospheric correction is one of the necessary preprocesses for generatin

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Adıgüzel, Nihal, Muhammed Furkan İnce, and Arzu Ozkaya. "Seyhan Barajı rezervuar alanı değişimlerinin zamansal analizi: Uzaktan algılama teknikleriyle 30 yıllık bir çalışma." DÜMF Mühendislik Dergisi 16, no. 1 (2025): 235–42. https://doi.org/10.24012/dumf.1586135.

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Bu çalışmada, Adana ilinde bulunan Seyhan Barajı'nın 1990-2021 yılları arasındaki rezervuar alan değişimi, uzaktan algılama teknikleriyle detaylı bir şekilde incelenmiştir. Düzensiz yağış rejimi, tarıma dayalı göç, insan faaliyetlerindeki artış ve küresel ısınmanın buharlaşma oranlarını artırması, barajdaki su seviyelerinin düzenli olarak izlenmesini ve değerlendirilmesini zorunlu kılmaktadır. Bu çalışma kapsamında kullanılan yöntem, su yüzey alanlarının gerçeğe yakın bir biçimde tespit edilmesini sağlamıştır. Verilerin doğruluğu, korelasyon katsayısı (r), kök ortalama kare hatası (RMSE) ve or

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Pocoun Damè Kombienou, Ousséni Arouna, and Ismaëla Imorou Toko. "Modelling the dynamics of land cover by 2050 in the north-western Atacora (Benin, West Africa)." GSC Biological and Pharmaceutical Sciences 19, no. 1 (2022): 100–112. http://dx.doi.org/10.30574/gscbps.2022.19.1.0131.

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In the north-western Atacora region, the rugged terrain limits access to agricultural land and creates a particular dynamic of land cover. The objective of this research is to simulate land cover in the 2050s in the mountainous area of northwestern Atacora in Benin. Landsat 5 TM images from 1988 and Landsat 8 OLI-TIRS from 2020 are the main data used. Supervised classification and modelling were performed with Idrisi Selva software. The annual regression rate is 18.30 % and the projection to 2050 predicts the disappearance of dense dry forests and a reduction of forest galleries and woodlands

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Rakuasa, Heinrich. "Analisis Spasial - Temporal Perubahan Tutupan Lahan di Kabupaten Maluku Barat Daya." GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi 3, no. 2 (2022): 115–22. http://dx.doi.org/10.53682/gjppg.v3i2.5262.

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Foreseeing future patterns of change and preventing or mitigating their negative impacts, it is important to understand how land cover changes. This study aims to examine changes in land cover in West Maluku Regency. To determine changes in land cover, the data used are Landsat 4-5 TM, Landsat 8 OLI, and SPOT 7 satellite images analyzed using SNI 7645:2010. The analysis includes pre-processing and land cover classification. Based on the research results, the three main MBD areas for built-up land are Moa Lakor District, Pulau Letti District, and Pulau Terselatan District. Due to Tiakur's statu

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Pocoun, Damè Kombienou, Arouna Ousséni, and Imorou Toko Ismaëla. "Modelling the dynamics of land cover by 2050 in the north-western Atacora (Benin, West Africa)." GSC Biological and Pharmaceutical Sciences 19, no. 1 (2022): 100–112. https://doi.org/10.5281/zenodo.6624136.

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In the north-western Atacora region, the rugged terrain limits access to agricultural land and creates a particular dynamic of land cover. The objective of this research is to simulate land cover in the 2050s in the mountainous area of northwestern Atacora in Benin. Landsat 5 TM images from 1988 and Landsat 8 OLI-TIRS from 2020 are the main data used. Supervised classification and modelling were performed with Idrisi Selva software. The annual regression rate is 18.30 % and the projection to 2050 predicts the disappearance of dense dry forests and a reduction of forest galleries and woodlands

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Magalhães, Ivo Augusto Lopes, Everton de Carvalho, Aguinaldo Silva, and Beatriz Lima de Paula. "ANÁLISE DA DINAMICA HIDROGEOMORFOLÓGICA NO RIO MIRANDA, ESTADO DE MATO GROSSO DO SUL POR MEIO DE IMAGENS LANDSAT SENSORES TM E OLI." Revista Cerrados 17, no. 01 (2020): 53–69. http://dx.doi.org/10.22238/rc24482692201917015369.

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Atualmente no Brasil, os estudos sobre as dinâmicas hidrogeomorfológicas por meio de dados de sensoriamento remoto ainda são escassos. Em rios com extensos percursos e áreas inóspitas faz jus o uso de técnicas de sensoriamento remoto para análise e monitoramento ambiental. Diante do exposto, o objetivo deste estudo foi analisar as mudanças na geomorfologia fluvial do rio Miranda no estado de Mato Grosso do Sul, MS por meio de séries de imagens multitemporais dos Sensores Tematic Mapper do satélite Landsat – 5 e OLI do Satélite Landsat- 8. A planície de inundação do rio Miranda apresenta aproxi

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Yudha, Imam Satria. "Detection of Changes in Water Surface Area in Limboto Lake Using Landsat Data From 1990 to 2020." IOP Conference Series: Earth and Environmental Science 1127, no. 1 (2023): 012021. http://dx.doi.org/10.1088/1755-1315/1127/1/012021.

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Abstract Lake Limboto is included in the fifteen priority lakes due to its increasingly critical condition. Long-term observations of changes in the lake water surface area are carried out to understand the impact of changes better and protect the ecosystem of water resources. The use of remote sensing technology products in Landsat 4 TM, Landsat 5 TM, Landsat 7 ETM +, and Landsat 8 OLI satellite images and Google Earth Engine is a suitable combination to study the dynamics of Lake Limboto. The water index used are NDWI (Normalized Difference Water Index), MNDWI (Modified Normalized Difference

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El-Askary, H., S. H. Abd El-Mawla, J. Li, M. M. El-Hattab, and M. El-Raey. "Change detection of coral reef habitat using Landsat-5 TM, Landsat 7 ETM+ and Landsat 8 OLI data in the Red Sea (Hurghada, Egypt)." International Journal of Remote Sensing 35, no. 6 (2014): 2327–46. http://dx.doi.org/10.1080/01431161.2014.894656.

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Kaiser, E. A., R. d. M. Linn, S. B. A. Rolim, et al. "THE URBAN HEAT ISLAND OF PORTO ALEGRE, RS, SOUTHERN BRAZIL: AN ANALYSIS BETWEEN 1985 AND 2019 THROUGH THE RADIATIVE TRANSFER IN THE INFRARED THERMAL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (November 6, 2020): 315–19. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-315-2020.

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Abstract. The objective of this study was to verify the evolution of surface temperature associated with land use and land cover from 1985 to 2019 in Porto Alegre, RS, Brazil. The methodological procedures were performed in five steps: 1. Definition of the study area; 2. Land use and land cover classification from images of Landsat 5 satellite Thematic Mapper (TM) and Operational Land Imager (OLI) from Landsat 8 satellite; 3. Calculation of surface temperature from TM sensor band 6 and OLI sensor band 10; 4. Analysis of temperature evolution over the historical series; and 5. Temporal relation

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ÖZVAN, Hande. "Uzaktan Algılama Yöntemleri Uygulanarak Namak Gölü'nün Su Yüzeyindeki Değişimin Su İndeksleri (AWEI, MNDWI, NDWI VE WRI) Aracılığıyla Belirlenmesi." Ecological Perspective 1, no. 1 (2021): 37–45. http://dx.doi.org/10.53463/ecopers.20210073.

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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

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Aldabbagh, Yasir Abdulameer Nayyef, Helmi Zulhaidi Mohd Shafri, Shattri Mansor, and Mohd Hasmadi Ismail. "Desertification Susceptibility Assessment Using Expert-Based Approach in Al-Khidhir District, Southern Iraq." International Journal of Environmental Science and Development 14, no. 6 (2023): 364–72. http://dx.doi.org/10.18178/ijesd.2023.14.6.1456.

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Desertification is a serious threat to environment, agriculture, and public health all over the world. Iraq is concerned about desertification, particularly in the southern regions. As a result, this project will use geospatial methodologies to measure desertification susceptibility in Al-Khidhir, Al-Muthanna. The assessment was based on Landsat 5 TM data from 1998, Landsat 7 ETM+ data from 2008, and Landsat 8 OLI data from 2018. A Multicriteria Decision-Making (MCDM) technique based on the Analytic Hierarchy Process (AHP) was developed to assess the spatial distribution of desertification in

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Hilmansyah, Hilmi, and Ummi Hanifah Marshush. "MODEL PERTUMBUHAN LAHAN TERBANGUN KOTA SEMARANG TAHUN 2023 DAN TAHUN 2028 DENGAN METODE CELLULAR AUTOMATA." Journal Peqguruang: Conference Series 5, no. 2 (2023): 656. http://dx.doi.org/10.35329/jp.v5i2.4852.

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Perkembangan spasial suatu kota dapat diprediksi dengan menggunakan data spasial, yang terdiri dari data penggunaan lahan yang diambil dari citra Landsat multi-temporal. Topik utama penelitian ini adalah penginderaan jauh dan pemodelan spasial kota. Tujuan penelitian adalah melakukan simulasi pertumbuhan lahan terbangun di Kota Semarang pada tahun 2023 dan 2028. Penelitian ini menggunakan citra Landsat 5 TM tahun 1998, citra Landsat 7 ETM+ tahun 2003 dan 2013, serta citra Landsat 8 OLI tahun 2003 dan 2013. 2018. Metode yang digunakan untuk mengekstraksi penggunaan lahan adalah klasifikasi terb

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Khairuddin, Benny, Fredinan Yulianda, Cecep Kusmana, and Yonvitner. "Degradation Mangrove by Using Landsat 5 TM and Landsat 8 OLI Image in Mempawah Regency, West Kalimantan Province year 1989 - 2014." Procedia Environmental Sciences 33 (2016): 460–64. http://dx.doi.org/10.1016/j.proenv.2016.03.097.

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Cholan, Edison, and Ernesto Menacho. "Análisis espacio temporal y determinación de la concentración de metales pesados en la laguna Yanamate, Cerro de Pasco, Perú." Revista de Investigación de Física 27, no. 3 (2024): 23–31. https://doi.org/10.15381/rif.v27i3.28848.

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The Yanamate lagoon was used for acid water discharge from 1981 to 2021, due to the mining activity of the Cerro S.AC mine, located in the province of Pasco, Pasco region. The objective of this research was to analyze the spatio-temporal variation of the water mirror of the Yanamate lagoon and to determine heavy metal concentrations. From Landsat 5 TM, Landsat 7 ETM+, Landsat 8 OLI, Landsat 9 OLI satellite images, the modified normalized difference water index (MNDWI) and the automated water extraction index without shading (AWEI_nsh) were calculated. These indices were used to analyze the spa

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Alvarado Huapaya, Ana Isabel, Paloma Capristán Sotelo, Claudia Corahua Benites, Carla Ruiz Philipps, and Gabriela Velásquez Bejarano. "Variación del área agrícola en el distrito La Yarada Los Palos, Tacna, Perú." Espacio y Desarrollo, no. 35 (June 21, 2020): 99–120. http://dx.doi.org/10.18800/espacioydesarrollo.202001.004.

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El crecimiento poblacional y el mayor uso de agua subterránea han favorecido la extensión del área agrícola en los últimos veintiún años en el distrito de La Yarada Los Palos. En el presente estudio, se busca analizar los cambios de la extensión agrícola e identificar tendencias a través la teledetección y análisis espacial multitemporal. Se utilizaron imágenes satelitales Landsat 5 TM y Landsat 8 OLI para el periodo 2000-2020 con el fin de identificar usos agrícolas en el área de estudio. Los resultados muestran que la superficie agrícola aumentó en un 265.84 %, cifra que se duplicaría en los

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Thakur, Jitendra. "MAPPING OF DEFORESTATION AND FOREST DEGRADATION ASSOCIATED WITH RESPONSIBLE DRIVERS IN THE MAN RIVER BASIN, CENTRAL INDIA." Geodesy and cartography 48, no. 4 (2022): 218–23. http://dx.doi.org/10.3846/gac.2022.14951.

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In developing countries, both deforestation and forest degradation are of serious environmental concern due to various driving factors. This can be more difficult to manage due to the lack of quality data and the unavailability of appropriate mapping techniques. Based on remote sensing data, this study examined an integrated approach to improve the mapping capability of forest change monitoring for data deficient areas. The study is carried out integrating ground-based information with Landsat 5 TM, Landsat 8 OLI and TIRS in the Man River Basin, India. The findings of the current study suggest

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Simatupang, Sphinoza Lisnaria, and Rahmatsyah Rahmatsyah. "Identification of Environmental Change in Bukit Kerang, Aceh Tamiang Regency Using Landsat Satellite Imagery." JURNAL ILMU FISIKA | UNIVERSITAS ANDALAS 14, no. 1 (2021): 1–9. http://dx.doi.org/10.25077/jif.14.1.1-9.2022.

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Changes in land cover and temperature in Bukit Kerang have been investigated using Landsat satellite images. We used Landsat 5 TM Landsat satellite imagery in 1988, Landsat 7 ETM in 2000, and Landsat 8 OLI in 2020. The ENVI 4.7 and ArcGIS 10.3 software was used to perform radiometric corrections, image cropping, image classification, image reclassification, calculating area, and layouts. Changes in land cover and land area in 1988, 2000, and 2020 affected the surface temperature conditions in those three years. In 1988, the dominant land area of forest cover was 5,926.44 ha (1 ha = 104 m2), wi

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Al-Huqail, Asma A., Zubairul Islam, and Hanan F. Al-Harbi. "Ecological Stress Modeling to Conserve Mangrove Ecosystem Along the Jazan Coast of Saudi Arabia." Land 14, no. 1 (2025): 70. https://doi.org/10.3390/land14010070.

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Mangrove ecosystems are increasingly threatened by climate change and coastal development, making precise ecological stress modeling essential for informing conservation strategies. This study employs AI-based classification techniques to classify mangroves using Landsat 8-SR OLI/TIRS sensors (2023) along the Jazan Coast, identifying a total mangrove area of 19.4 km2. The ensemble classifier achieved an F1 score of 95%, an overall accuracy of 93%, and a kappa coefficient of 0.86. Ecological stress was modeled via a generalized additive model (GAM) with key predictors, including trends in the N

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Sekertekin, Aliihsan, and Stefania Bonafoni. "Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation." Remote Sensing 12, no. 2 (2020): 294. http://dx.doi.org/10.3390/rs12020294.

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Land Surface Temperature (LST) is an important parameter for many scientific disciplines since it affects the interaction between the land and the atmosphere. Many LST retrieval algorithms based on remotely sensed images have been introduced so far, where the Land Surface Emissivity (LSE) is one of the main factors affecting the accuracy of the LST estimation. The aim of this study is to evaluate the performance of LST retrieval methods using different LSE models and data of old and current Landsat missions. Mono Window Algorithm (MWA), Radiative Transfer Equation (RTE) method, Single Channel

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Dervisoglu, Adalet. "Investigation of the Efficiency of Satellite-Derived LST Data for Mapping the Meteorological Parameters in Istanbul." Atmosphere 14, no. 4 (2023): 644. http://dx.doi.org/10.3390/atmos14040644.

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Land surface temperature (LST) is an essential parameter for studying environmental and ecological processes and climate change at various scales. It is also valuable for studies of evapotranspiration, soil moisture conditions, surface energy balance, and urban heat islands. Since meteorological station data can provide a limited number of point data, satellite images that provide high temporal and spatial resolution LST data in large areas are needed to be used in all these applications. In this study, the usage of satellite-derived LST images was investigated in comparison with meteorologica

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Kemarau, Ricky Anak, and Oliver Valentine Eboy. "URBANIZATION AND IT IMPACTS TO LAND SURFACE TEMPERATURE ON SMALL MEDIUM SIZE CITY FOR YEAR 1991, 2011 AND 2018: CASE STUDY KOTA KINABALU." Journal of Borneo Social Transformation Studies 6, no. 1 (2020): 58–76. http://dx.doi.org/10.51200/jobsts.v6i1.2791.

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Transformation of land cover vegetation toward urban areas causes the temperature at urban higher to compare to suburban and rural areas, namely urban heat island (UHI) effect. The UHI has a negative impact, such a stroke heat, air pollution, green gasses emission, and electric consumption. UHI studies at a tropical country still limited due to the containment of cloud cover. Besides that, studies only focus on big cities which have residents above than 2 million. The outcome this studied important to enhance our knowledge of urban heat effect at small-medium cities and guidelines to policymak

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Muhsin, Israa J. "Assessment of vegetal cover changes using Normalized Difference Vegetation Index (NDVI) and subtractive (NDVI) time-series, Karbala province, Iraq." Iraqi Journal of Physics (IJP) 15, no. 35 (2018): 133–41. http://dx.doi.org/10.30723/ijp.v15i35.62.

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Karbala province regarded one part significant zones in Iraq and considered an economic resource of vegetation such as trees of fruits, sieve and other vegetation. This research aimed to utilize Normalized Difference Vegetation index (NDVI) and Subtracted (NDVI) for investigating the current vegetation cover at last four decay. The Normalized Difference Vegetation Index (NDVI) is the most extensively used satellite index of vegetation health and density. The primary goals of this research are gather a gathering of studied area (Karbala province) satellite images in sequence time for a similar

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Gharbi, M. A., and H. N. Mukhlif. "Using of Temporal Variability for Monitoring Change of Vegetation via Remote Sensing in Anbar Province." IOP Conference Series: Earth and Environmental Science 904, no. 1 (2021): 012038. http://dx.doi.org/10.1088/1755-1315/904/1/012038.

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Abstract The use of spectral indicators and evidence based on remote sensing and the results of space data is one of the most important means of detecting changes in vegetation and land cover. Three space scenes were selected to assess vegetation changes in Anbar governorate, consisting of 33 satellite shots in different dates for the years 1999, 2009 and 2019, captured by the Landsat 5 and Landsat 8 for the two sensors TM and OLI. Spectral data were used to calculate NDVI normal vegetative variation index values. The results showed that the area of barren land continued to increase by 24,809.

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Ahmad, Muhammad Nasar, Qimin Cheng, and Fang Luo. "Dynamic Linkage Between Urbanization, Electrical Power Consumption, and Suitability Analysis Using Remote Sensing and GIS Techniques." Photogrammetric Engineering & Remote Sensing 88, no. 3 (2022): 171–79. http://dx.doi.org/10.14358/pers.21-00026r3.

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This article proposes an estimation method for assessing urban sprawl using multispectral remote sensing data: SNPP-VIIRS, DMSP/OLS, Landsat 5-TM, and Landsat 8-OLI. This study focuses on the impacts of human activities, in terms of increased electrical-power consumption (EPC) due to urbanization. For this purpose, night-time light data are used to measure the EPC growth from 2000 to 2020. We also perform a suitability analysis using geographic information-systems techniques to propose a new urban town in Lahore to mitigate urbanization and EPC increase. We found an overall increase of 33% in

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Akay, A. E., B. Gencal, and İ. Taş. "SPATIOTEMPORAL CHANGE DETECTION USING LANDSAT IMAGERY: THE CASE STUDY OF KARACABEY FLOODED FOREST, BURSA, TURKEY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W4 (November 13, 2017): 31–35. http://dx.doi.org/10.5194/isprs-annals-iv-4-w4-31-2017.

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This short paper aims to detect spatiotemporal detection of land use/land cover change within Karacabey Flooded Forest region. Change detection analysis applied to Landsat 5 TM images representing July 2000 and a Landsat 8 OLI representing June 2017. Various image processing tools were implemented using ERDAS 9.2, ArcGIS 10.4.1, and ENVI programs to conduct spatiotemporal change detection over these two images such as band selection, corrections, subset, classification, recoding, accuracy assessment, and change detection analysis. Image classification revealed that there are five significant l

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