Log in

Relevant bibliographies by topics / OLI/Landsat-8 / Journal articles

To see the other types of publications on this topic, follow the link: OLI/Landsat-8.

Journal articles on the topic 'OLI/Landsat-8'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'OLI/Landsat-8.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Rahman, Arif, Arie Antasari Kushadiwijayanto, and Risko Risko. "Pemetaan Batimetri Perairan Laut Dangkal Menggunakan Citra Satelit Landsat-8 OLI di Teluk Tambelan Provinsi Kepulauan Riau." Jurnal Laut Khatulistiwa 5, no. 2 (2022): 48. http://dx.doi.org/10.26418/lkuntan.v5i2.52646.

Full text

Abstract:

Penelitian pemetaan batimetri perairan laut dangkal menggunakan citra satelit Landsat-8 OLI telah dilaksanakan di Perairan Teluk Tambelan Provinsi Kepulauan Riau. Batimetri dilakukan dengan cara teknologi penginderaan jauh melalui gelombang elektromagnetik. Penelitian ini bertujuan unutk melakukan pemetaan batimetri Landsat-8 OLI dari model regresi serta mengetahui model regresi yang cocok dengan data lapangan. Pengolahan citra satelit Landsat-8 OLI menggunakan metode algoritma Van Hangel dan Spitzer. Data hasil kedalaman citra satelit Landsat-8 OLI divalidasi menggunakan data kedalaman lapang

APA, Harvard, Vancouver, ISO, and other styles

2

Kılıç, Miraç, and Recep Gündoğan. "Comparison of Recent Remote Sensing Data Using an Artificial Neural Network to Predict Soil Moisture by Focusing on Radiometric Indices." Turkish Journal of Agriculture - Food Science and Technology 10, no. 12 (2022): 2438–45. http://dx.doi.org/10.24925/turjaf.v10i12.2438-2445.5477.

Full text

Abstract:

Remote sensing data is widely used as a common variable for digital soil mapping estimating models. The aim of this study, quite recently made available to researchers Operational Land Imager 2 (OLI–2) have structure Landsat 9 and Landsat 8 (OLI) and Sentinel 2A (MSI) to compare the performance of soil moisture estimation in multi-layer perceptron network (MLP) artificial intelligence algorithm of image data. The working area is 886.78 km2 and soil sampling was performed at 66 points for gravimetric soil moisture determination. In addition, after the satellite images were pre-processed, Soil A

APA, Harvard, Vancouver, ISO, and other styles

3

Doğru, Melih, and Mehmet Ali Yücel. "Lithological Mapping Using LANDSAT 8 OLI Multispectral Data." Afyon Kocatepe University Journal of Sciences and Engineering 17, no. 1 (2017): 172–84. http://dx.doi.org/10.5578/fmbd.52775.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Saini, R., and S. K. Ghosh. "EXPLORING CAPABILITIES OF SENTINEL-2 FOR VEGETATION MAPPING USING RANDOM FOREST." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 1499–502. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1499-2018.

Full text

Abstract:

Accurate vegetation mapping is essential for monitoring crop and sustainable agricultural practice. This study aims to explore the capabilities of Sentinel-2 data over Landsat-8 Operational Land Imager (OLI) data for vegetation mapping. Two combination of Sentinel-2 dataset have been considered, first combination is 4-band dataset at 10m resolution which consists of NIR, R, G and B bands, while second combination is generated by stacking 4 bands having 10&amp;thinsp;m resolution along with other six sharpened bands using Gram-Schmidt algorithm. For Landsat-8 OLI dataset, six multispectral

APA, Harvard, Vancouver, ISO, and other styles

5

Schroeder, Wilfrid, Patricia Oliva, Louis Giglio, Brad Quayle, Eckehard Lorenz, and Fabiano Morelli. "Active fire detection using Landsat-8/OLI data." Remote Sensing of Environment 185 (November 2016): 210–20. http://dx.doi.org/10.1016/j.rse.2015.08.032.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Zhao, F., L. Xia, A. Kylling, R. Q. Li, H. Shang, and Ming Xu. "Detection flying aircraft from Landsat 8 OLI data." ISPRS Journal of Photogrammetry and Remote Sensing 141 (July 2018): 176–84. http://dx.doi.org/10.1016/j.isprsjprs.2018.05.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Indratmoko, Satria, and Nurrokhmah Rizqihandari. "Burn Area Detection Using Landsat 8 OLI TIRS." IOP Conference Series: Earth and Environmental Science 338 (November 24, 2019): 012035. http://dx.doi.org/10.1088/1755-1315/338/1/012035.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Czapla-Myers, Jeffrey S., Kurtis J. Thome, Nikolaus J. Anderson, Larry M. Leigh, Cibele Teixeira Pinto, and Brian N. Wenny. "The Ground-Based Absolute Radiometric Calibration of the Landsat 9 Operational Land Imager." Remote Sensing 16, no. 6 (2024): 1101. http://dx.doi.org/10.3390/rs16061101.

Full text

Abstract:

This paper presents the initial vicarious radiometric calibration results for Landsat 9 OLI using a combination of ground-based techniques and test sites located in Nevada, California, and South Dakota, USA. The field data collection methods include the traditional reflectance-based approach and the automated Radiometric Calibration Test Site (RadCaTS). The results for top-of-atmosphere spectral radiance show an average ratio (OLI/ground measurements) of 1.03, 1.01, 1.00, 1.02, 1.02, 1.01, 0.98, and 1.01 for Landsat 9 OLI bands 1–8, which is within the design specification of ±5% for spectral

APA, Harvard, Vancouver, ISO, and other styles

9

Barsi, Julia A., Eric Donley, Michelle Goldman, et al. "Prelaunch Spectral Characterization of the Operational Land Imager-2." Remote Sensing 16, no. 6 (2024): 981. http://dx.doi.org/10.3390/rs16060981.

Full text

Abstract:

The Landsat-9 satellite, launched in September 2021, carries the Operational Land Imager-2 (OLI-2) as one of its payloads. This instrument is a clone of the Landsat-8 OLI and its mission is to continue the operational land imaging of the Landsat program. The OLI-2 instrument is not significantly different from OLI though the instrument-level pre-launch spectral characterization process was much improved. The focal plane modules used on OLI-2 were manufactured as spares for OLI and much of the spectral characterization of the components was performed for OLI. However, while the spectral respons

APA, Harvard, Vancouver, ISO, and other styles

10

Ridwan, M. A., N. A. M. Radzi, W. S. H. M. W. Ahmad, et al. "Applications of Landsat-8 Data: a Survey." International Journal of Engineering & Technology 7, no. 4.35 (2018): 436. http://dx.doi.org/10.14419/ijet.v7i4.35.22858.

Full text

Abstract:

Landsat 8 was launched in 2013 by the National Aeronautics and Space Administration (NASA). On board of the Landsat 8 is the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS). Data for visible, panchromatic band, short-wave infrared spectral bands are collected by the OLI while TIRS collect images in the thermal region. As data for Landsat 8 is available to be used for public, researchers have utilized the data for numerous applications. However, to the best of our knowledge, there is yet a review paper on the various applications of Landsat 8 data. Hence, this paper presented a

APA, Harvard, Vancouver, ISO, and other styles

11

Indriana, La Ode Muhammad Yasir Haya, and Amadhan Takwir. "PEMETAAN SEBARAN DAN TUTUPAN LAMUN MENGGUNAKAN CITRA SATELIT LANDSAT 8 DAN SENTINEL 2A DI PERAIRAN DESA TANJUNG TIRAM KABUPATEN KONAWE SELATAN." Jurnal Sapa Laut (Jurnal Ilmu Kelautan) 5, no. 4 (2020): 327. http://dx.doi.org/10.33772/jsl.v5i4.15496.

Full text

Abstract:

Studi tentang lamun telah dilakukan di perairan Desa Tanjung Tiram. Penelitian ini bertujuan untuk menentukan sebaran, tutupan, dan habitat lamun menggunakan citra LANDSAT 8 OLI dan Sentinel 2A. Metode penelitian yang digunakan adalah perbandingan klasifikasi dua citra yang dikombinasikan dengan data lapangan. Citra yang digunakan telah dikoreksi menggunakan algoritma Depth Invariant Index (DII) untuk menghilangkan efek kedalaman. Sedangkan data lapangan diperoleh melalui metode transek kuadrat ukuran 1x1 meter persegi. Setiap transek diambil titik koordinatnya dan diamati jenis lamun serta pe

APA, Harvard, Vancouver, ISO, and other styles

12

Sekertekin, A., A. M. Marangoz, and H. Akcin. "PIXEL-BASED CLASSIFICATION ANALYSIS OF LAND USE LAND COVER USING SENTINEL-2 AND LANDSAT-8 DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W6 (November 13, 2017): 91–93. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w6-91-2017.

Full text

Abstract:

The aim of this study is to conduct accuracy analyses of Land Use Land Cover (LULC) classifications derived from Sentinel-2 and Landsat-8 data, and to reveal which dataset present better accuracy results. Zonguldak city and its near surrounding was selected as study area for this case study. Sentinel-2 Multispectral Instrument (MSI) and Landsat-8 the Operational Land Imager (OLI) data, acquired on 6 April 2016 and 3 April 2016 respectively, were utilized as satellite imagery in the study. The RGB and NIR bands of Sentinel-2 and Landsat-8 were used for classification and comparison. Pan-sharpen

APA, Harvard, Vancouver, ISO, and other styles

13

Thanh Luu, Pham, Nguyen Thi My Le, Trinh Hong Phuong, Tran Thi Hoang Yen, Tran Thanh Thai, and Ngo Xuan Quang. "Aplication of Landsat 8 Oli for the total suspended solid (TSS) mapping in the Tri An reservoir, Dong Nai province." Science and Technology Development Journal - Natural Sciences 4, no. 1 (2020): first. http://dx.doi.org/10.32508/stdjns.v4i1.994.

Full text

Abstract:

Remote sensing techniques have been widely used to measure the qualitative parameters of waterbodies. Total suspended solid (TSS) is an important water quality parameter and a surrogate for the water clarity. It can be used as the indicator of sediment in the reservoir, which usually consists of silt, fine sand and microorganisms. This study aimed to utilize the remote sensing technology, in particular Landsat 8 Operational Land Imager (Landsat 8 OLI), to determine the amount of TSS concentration as well as the spatial distribution of TSS concentration in the surface water of the Tri An reserv

APA, Harvard, Vancouver, ISO, and other styles

14

Bungsu, Dedek Putri, and Dian Adhetya Arif. "IDENTIFICATION OF LAND COVER OF SURFACE TEMPERATURE IN KOTA PARIAMAN USING LANDSAT IMAGERY 8-OLI." International Remote Sensing Applied Journal 2, no. 1 (2023): 1–7. http://dx.doi.org/10.24036/irsaj.v2i1.19.

Full text

Abstract:

Remote sensing is a technology that can overcome data measurement problems for fast and accurate information. This research was carried out in Pariaman City using Landsat 8-OLI imagery with the aim of 1) knowing the identification of land cover based on the classification SNI:7645 (2014) based on Landsat 8-OLI imagery in the Pariaman City area in 2020 2) knowing the identification of surface temperature in the Pariaman City area in 2020. The research was conducted in serval stages, namely pre-processing of image data, selecting band combinations, cutting area studies, image classification, and

APA, Harvard, Vancouver, ISO, and other styles

15

Putri, Sri Kandi, Mentari Dian Pertiwi, Nandha Ameiliya, Sekha Anggita, and Yessy Noveraliza. "Identification of Land Surface Temperature Regarding Land Use Utilizing Landsat 8 OLI Imagery in 2021 (Case Study: Padang City Area, West Sumatra Province)." Future Space: Studies in Geo-Education 1, no. 3 (2024): 336–45. http://dx.doi.org/10.69877/fssge.v1i3.33.

Full text

Abstract:

This research of aims are; 1) identify the Land Surface Temperature (LST) of land use using Landsat 8 OLI imagery for the Padang City area, 2) identify the distribution of land use using Landsat 8 OLI imagery for the Padang City area, 3) The effect of Land Surface Temperature (LST) on land use using Landsat 8 OLI imagery for the Padang City area. In obtaining the results of Land Use researchers used the Indonesian National Standard (SNI) 7645-2020 Classification of Land Cover Scale 1: 250,000. Meanwhile, to get the surface temperature value using the LST (Land Surface Temperature) method. The

APA, Harvard, Vancouver, ISO, and other styles

16

Nguyễn, Như Hùng, та Vân Anh Trần. "Nghiên cứu khả năng phát hiện bụi PM10 trong không khí bằng dữ liệu ảnh vệ tinh Landsat 8 OLI khu vực Hà Nội". Tạp chí Khoa học Đo đạc và Bản đồ, № 32 (1 червня 2017): 47–53. http://dx.doi.org/10.54491/jgac.2017.32.219.

Full text

Abstract:

Bụi PM10 là bụi có đường kính khí động học từ 0,001÷10µm, đây là một trong những tác nhân ô nhiễm không khí ảnh hướng lớn tới sức khỏe con người. Trong bài báo này, chúng tôi tiến hành nghiên cứu xác định bụi PM10 trong không khí bằng cách sử dụng các hình ảnh vệ tinh Landsat 8 OLI khu vực trung tâm thành phố Hà Nội. Trọng tâm nghiên cứu về khảo nghiệm quá trình xác định ô nhiễm không khí, bắt đầu từ việc điều chỉnh khí quyển của vệ tinh Landsat 8 OLI bằng phương pháp DOS, tính AOT, hàm liên hệ giữa AOT và PM10, từ đó tiến hành tính PM10 từ dữ liệu ảnh vệ tinh Landsat 8 OLI ở khu vực trung tâm

APA, Harvard, Vancouver, ISO, and other styles

17

Yoon, Seon Yong, Hyun Choi, and Gi Hong Kim. "Estimation of Vegetation Cover Fraction Using Landsat 8 OLI imagery and Field Survey Data." Journal of Korean Society for Geospatial Information System 25, no. 3 (2017): 95–100. http://dx.doi.org/10.7319/kogsis.2017.25.3.095.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Liu, Yaolin, Xia Wang, Feng Ling, Shuna Xu, and Chengcheng Wang. "Analysis of Coastline Extraction from Landsat-8 OLI Imagery." Water 9, no. 11 (2017): 816. http://dx.doi.org/10.3390/w9110816.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Zhang, Hankui, and David Roy. "Computationally Inexpensive Landsat 8 Operational Land Imager (OLI) Pansharpening." Remote Sensing 8, no. 3 (2016): 180. http://dx.doi.org/10.3390/rs8030180.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Bhatti, Saad Saleem, and Nitin Kumar Tripathi. "Built-up area extraction using Landsat 8 OLI imagery." GIScience & Remote Sensing 51, no. 4 (2014): 445–67. http://dx.doi.org/10.1080/15481603.2014.939539.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Manullang, Gregoius Tua Chandra, Ridwan Ridwan, Elhamida Rezkia Amien, and Sandi Asmara. "Analisis Wilayah Kerawanan Bencana Tanah Longsor Menggunakan Citra Lansat 8 Oli dan Citra Sentinel 2-A di Kecamatan Balik Bukit, Kabupaten Lampung Barat." Jurnal Agricultural Biosystem Engineering 3, no. 4 (2024): 515. https://doi.org/10.23960/jabe.v3i4.10199.

Full text

Abstract:

This study aims to generate a landslide susceptibility map for Balik Bukit District using geospatial data and analyze the vegetation density from Sentinel 2-A and Landsat 8 OLI imagery to support the identification of landslide-prone areas. The study used SHP data for various parameters including Rainfall, Slope, Geology, Land Cover, Soil Type, and NDVI (Normalized Difference Vegetation Index). The final results consist of thematic maps and a landslide susceptibility map, illustrating the area's risk levels. GIS played a crucial role in mapping, calculations, and analysis. Five landslide susce

APA, Harvard, Vancouver, ISO, and other styles

22

Xu, Feng, Zhaofu Li, Shuyu Zhang, et al. "Mapping Winter Wheat with Combinations of Temporally Aggregated Sentinel-2 and Landsat-8 Data in Shandong Province, China." Remote Sensing 12, no. 12 (2020): 2065. http://dx.doi.org/10.3390/rs12122065.

Full text

Abstract:

Winter wheat is one of the major cereal crops in China. The spatial distribution of winter wheat planting areas is closely related to food security; however, mapping winter wheat with time-series finer spatial resolution satellite images across large areas is challenging. This paper explores the potential of combining temporally aggregated Landsat-8 OLI and Sentinel-2 MSI data available via the Google Earth Engine (GEE) platform for mapping winter wheat in Shandong Province, China. First, six phenological median composites of Landsat-8 OLI and Sentinel-2 MSI reflectance measures were generated

APA, Harvard, Vancouver, ISO, and other styles

23

Ducart, Diego Fernando, Adalene Moreira Silva, Catarina Labouré Bemfica Toledo, and Luciano Mozer de Assis. "Mapping iron oxides with Landsat-8/OLI and EO-1/Hyperion imagery from the Serra Norte iron deposits in the Carajás Mineral Province, Brazil." Brazilian Journal of Geology 46, no. 3 (2016): 331–49. http://dx.doi.org/10.1590/2317-4889201620160023.

Full text

Abstract:

ABSTRACT: Mapping methods for iron oxides and clay minerals, using Landsat-8/Operational Land Imager (OLI) and Earth Observing 1 (EO-1)/Hyperion imagery integrated with airborne geophysical data, were applied in the N4, N5, and N4WS iron deposits, Serra Norte, Carajás, Brazil. Band ratios were achieved on Landsat-8/OLI imagery, allowing the recognition of the main minerals from iron deposits. The Landsat-8/OLI imagery showed a robust performance for iron oxide exploration, even in vegetated shrub areas. Feature extraction and Spectral Angle Mapper hyperspectral classification methods were carr

APA, Harvard, Vancouver, ISO, and other styles

24

Astriani, Haniefah. "PERBANDINGAN CITRA LANDSAT 8 OLI DAN SENTINEL 2-A UNTUK ESTIMASI STOK KARBON KELAPA SAWIT (ELAIS GUINEENSIS JACQ) DI WILAYAH PT. PERKEBUNAN NUSANTARA VII UNIT REJOSARI, NATAR, KABUPATEN LAMPUNG SELATAN." Seminar Nasional Geomatika 2 (February 9, 2018): 21. http://dx.doi.org/10.24895/sng.2017.2-0.393.

Full text

Abstract:

Perkebunan kelapa sawit merupakan salah satu lokasi penyimpan stok karbon. Stok karbon berfungsi untuk menjaga keseimbangan ekosistem guna mengurangi dampak pemanasan global. Perkembangan teknologi menyebabkan pengukuran stok karbon dapat dilakukan menggunakan penginderaan jauh menggunakan berbagai citra dengan resolusi spasial berbeda. Tujuan dari penelitian ini adalah untuk membandingkan kemampuan Citra Landsat 8 OLI dan Citra Sentinel 2-A untuk estimasi stok karbon kelapa sawit di wilayah PT. Perkebunan Nusantara VII unit Rejosari, Lampung. Nilai stok karbon diperoleh dengan menghubungkan n

APA, Harvard, Vancouver, ISO, and other styles

25

Mancino, Giuseppe, Agostino Ferrara, Antonietta Padula, and Angelo Nolè. "Cross-Comparison between Landsat 8 (OLI) and Landsat 7 (ETM+) Derived Vegetation Indices in a Mediterranean Environment." Remote Sensing 12, no. 2 (2020): 291. http://dx.doi.org/10.3390/rs12020291.

Full text

Abstract:

Landsat 8 is the most recent generation of Landsat satellite missions that provides remote sensing imagery for earth observation. The Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images, together with Landsat-8 Operational Land Imager (OLI) and Thermal Infrared sensor (TIRS) represent fundamental tools for earth observation due to the optimal combination of the radiometric and geometric images resolution provided by these sensors. However, there are substantial differences between the information provided by Landsat 7 and Landsat 8. In order to perform a multi-temporal analysis, a cross-comp

APA, Harvard, Vancouver, ISO, and other styles

26

Azeemuddin, Syed, and R. S. Dwivedi. "Conjunctive Use of Landsat-8 OLI and MODIS Data for Delineation of Burned Areas." Photogrammetric Engineering & Remote Sensing 88, no. 6 (2022): 407–13. http://dx.doi.org/10.14358/pers.21-00057r2.

Full text

Abstract:

For regional-level monitoring of burned areas, Moderate Resolution Imaging Spectroradiometer (MODIS ) MCD64A1 and MCD45A1 products have been operationally used. However, because of their coarser spatial resolution, such products do not allow for detection of small patches (<50 ha) of burned areas, which are very important for modeling gas emissions. In order to bridge this gap, we undertook a study to evaluate the synergy of MCD64A1 and Landsat-8 Operational Land Imager (OLI ) data for delineating burned areas in part of the mountainous terrain of the Himalayas, northern India. The approach

APA, Harvard, Vancouver, ISO, and other styles

27

Wardana, Fatimah, Laode Muh Golok Jaya, Fitra Saleh, and Jufri Karim. "Pemetaan Fenomena Urban Heat Island Di Kota Kendari Dengan Menggunakan Citra Resolusi Menengah." JAGAT (Jurnal Geografi Aplikasi dan Teknologi) 5, no. 1 (2021): 33. http://dx.doi.org/10.33772/jagat.v5i1.17258.

Full text

Abstract:

Abstrak: Fenomena Urban Heat Island dapat dipetakan dengan parameter Suhu Permukaan Tanah (SPT) dan indeks kerapatan vegetasi (NDVI). Penelitian ini bertujuan untuk menganalisis Urban Heat Island di Kota Kendari menggunakan Landsat 8 OLI/TIRS dan menganalisis kondisi eksisting sebaran fenomena Urban Heat Island di Kota Kendari. Proses dilakukan dengan mengolah data citra Landsat 8 OLI/TIRS perekaman 30 Agustus 2017. Analisis dilakukan dengan menggunakan algoritma Syariz untuk penentuan SPT yang kemudian dikorelasikan dengan nilai NDVI yang dihasilkan dari kaliberasi band 4 dan band 5 pada citr

APA, Harvard, Vancouver, ISO, and other styles

28

Hieu, Nguyen Trinh Duc, Nguyen-Quang Tri, Nguyen Huu Huan, et al. "Estimating the Chlorophyll-a in the Nha Trang Bay using Landsat-8 OLI data." IOP Conference Series: Earth and Environmental Science 1226, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1755-1315/1226/1/012010.

Full text

Abstract:

Abstract The pigment chlorophyll-a (Chl-a) is used to evaluate aquatic ecological health. Using remote sensing techniques to estimate this pigment and spatially mapping its distribution becomes essential for measuring and assessing water quality in coastal areas. Nha Trang Bay is famous not only for its scenery but also for its biodiversity values, especially the existence of coral reefs. In this study, Landsat-8 OLI was taken on June 3, 2015, and field measurements of Chl-a at 13 survey sites from June 6-8, 2015, were used to build a local algorithm to monitor the spatio-temporal distribution

APA, Harvard, Vancouver, ISO, and other styles

29

Rokni, Komeil. "INVESTIGATING THE IMPACT OF PAN SHARPENING ON THE ACCURACY OF LAND COVER MAPPING IN LANDSAT OLI IMAGERY." Geodesy and cartography 49, no. 1 (2023): 12–18. http://dx.doi.org/10.3846/gac.2023.15308.

Full text

Abstract:

Pan Sharpening is normally applied to sharpen a multispectral image with low resolution by using a panchromatic image with a higher resolution, to generate a high resolution multispectral image. The present study aims at assessing the power of Pan Sharpening on improvement of the accuracy of image classification and land cover mapping in Landsat 8 OLI imagery. In this respect, different Pan Sharpening algorithms including Brovey, Gram-Schmidt, NNDiffuse, and Principal Components were applied to merge the Landsat OLI panchromatic band (15 m) with the Landsat OLI multispectral: visible and infra

APA, Harvard, Vancouver, ISO, and other styles

30

Habibi, Luthfan Nur, Komariah Komariah, Dwi Priyo Ariyanto, Jauhari Syamsiyah, and Takashi S. T. Tanaka. "Estimation of Soil Organic Matter on Paddy Field using Remote Sensing Method." SAINS TANAH - Journal of Soil Science and Agroclimatology 16, no. 2 (2019): 159. http://dx.doi.org/10.20961/stjssa.v16i2.35395.

Full text

Abstract:

Soil organic matter (SOM) is one of the important parameters in agriculture management, thus estimating its distribution on the land will be essential. Remote sensing can be utilized to map the SOM distribution in the large-scale area. The objective of this research was to determine the estimation of SOM distribution on the paddy field in Sukoharjo Regency, Indonesia using Landsat 8 OLI imagery. The sampling points were determined by purposive sampling based on an overlay of land use classification map of paddy field, NDSI (Normalized Difference Soil Index) map, and soil type map. The analysis

APA, Harvard, Vancouver, ISO, and other styles

31

Sui, Songman, and Lin Sun. "Comparative Analysis of Several Typical Landsat 8 OLI Cloud Detection Methods." Remote Sensing 14, no. 3 (2022): 719. http://dx.doi.org/10.3390/rs14030719.

Full text

Abstract:

The Landsat 8 Operational Land Imager (OLI) is a high-resolution satellite sensor that is carried on the next-generation Landsat which was launched by the National Aeronautics and Space Administration (NASA) in 2013. Compared to the previous land observation satellites in this series, Landsat 8 OLI has been further optimized in regard to its band setting and data acquisition frequency. The application scope of the data and the ability of information extraction have been further expanded and enhanced. However, the existence of clouds reduces the efficiency and the quality of satellite data. The

APA, Harvard, Vancouver, ISO, and other styles

32

Makinde, E. O., and A. D. Obigha. "Comparison between Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI) Assessment of Vegetation Indices." July 2017 1, no. 2 (2017): 355–66. http://dx.doi.org/10.36263/nijest.2017.02.0046.

Full text

Abstract:

The Landsat system has contributed significantly to the understanding of the Earth observation for over forty years. Since May 2013, data from Landsat 8 has been available online for download, with substantial differences from its predecessors, having an extended number of spectral bands and narrower bandwidths. The objectives of this research were majorly to carry out a cross comparison analysis between vegetation indices derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI) and also performed statistical analysis on the results derived from t

APA, Harvard, Vancouver, ISO, and other styles

33

Zainol, W. N. Z., S. Z. L. Kamsan, and N. N. Che’Ya. "Mapping and Assessing Black Pepper Growth using Time Series and Ground Data: A Case Study for Small Scale Cultivation in Bintulu, Sarawak." IOP Conference Series: Earth and Environmental Science 1038, no. 1 (2022): 012048. http://dx.doi.org/10.1088/1755-1315/1038/1/012048.

Full text

Abstract:

Abstract Mapping of crop cultivation using remote sensing immensely facilitate crop management and prediction. The capability to provide informative data enables users to monitor and manage their crops with optimum expenditure. Hence, this study was purposed on black pepper farm to establish an informative map of black pepper farm (SF, TF) in Sungai Plan, Bintulu, Sarawak using Landsat 8 OLI time series and ground truth data. Images from Landsat 8 OLI were retrieved and images were classified using Support Vector Machine (SVM). Extraction of farmland elevations was produced using black pepper

APA, Harvard, Vancouver, ISO, and other styles

34

Kapoh, Oktovio Metusael Kenspasio, and Frederik Samuel Papilaya. "Analisis Perubahan Vegetasi Di Kecamatan Tingkir Kota Salatiga Menggunakan Metode NDVI." Journal of Computer and Information Systems Ampera 2, no. 3 (2021): 143–50. http://dx.doi.org/10.51519/journalcisa.v2i3.86.

Full text

Abstract:

Analisis vegetasi adalah metode yang dilakukan untuk mengetahui seberapa besar sebaran berbagai macam spesies yang ada dalam suatu area. Kegiatan ini umumnya dilakukan melalui pengamatan langsung dan dilakukan pula dengan membuat plot, serta mengamati morfologi dan identifikasi vegetasi yang ada. Menurut Greigh-Smith (1983), analisis vegetasi adalah cara untuk mempelajari susunan dan atau komposisi vegetasi secara bentuk (struktur) vegetasi dari masyarakat tumbuh-tumbuhan. Bentuk atau struktur vegetasi yang dimaksud ialah bentuk pertumbuhan, stratifikasi dan tutupan tajuk. Sistem Informasi Geo

APA, Harvard, Vancouver, ISO, and other styles

35

Rahadiati, Ati, Kadarwan Soewardi, Yusli Wardiatno, and Dewayany Sutrisno. "Pemetaan Sebaran Budidaya Rumput Laut: Pendekatan Analisis Multispektral dan Multitemporal (Studi Kasus di Kabupaten Takalar Sulawesi Selatan)." MAJALAH ILMIAH GLOBE 20, no. 1 (2018): 13. http://dx.doi.org/10.24895/mig.2018.20-1.718.

Full text

Abstract:

<p>Budidaya rumput laut merupakan salah satu kegiatan di daerah pesisir yang berkembang sangat pesat. Untuk mengetahui kondisi eksisting luasan budidaya rumput laut perlu dilakukan pemetaan sebaran budidaya rumput laut. Pemetaan sebaran budidaya rumput laut akan lebih cepat dengan menggunakan teknologi penginderaan jauh. Tujuan dari penelitian adalah untuk membandingkan citra SPOT-6 dan Landsat 8 OLI dalam memetakan sebaran budidaya rumput laut dan untuk mengestimasi luasan eksisting budidaya rumput laut. Proses analisis menggunakan dua metode yaitu interpretasi visual untuk SPOT-6 pansh

APA, Harvard, Vancouver, ISO, and other styles

36

Oldoni, Lucas V., Carlos E. V. Cattani, Erivelto Mercante, Jerry A. Johann, João F. G. Antunes, and Luiz Almeida. "Annual cropland mapping using data mining and OLI Landsat-8." Revista Brasileira de Engenharia Agrícola e Ambiental 23, no. 12 (2019): 952–58. http://dx.doi.org/10.1590/1807-1929/agriambi.v23n12p952-958.

Full text

Abstract:

ABSTRACT In the state of Paraná, Brazil, there are no major changes in areas cultivated with annual crops, mainly due to environmental laws that do not allow expansions to new areas. There is a great contribution of the annual crops to the domestic demand of food and economic demand in the exports. Thus, the area and distribution of annual crops are information of great importance. New methodologies, such as data mining, are being tested with the objective of analyzing and improving their potential use for classification of land use and land cover. This study used the classifiers decision tree

APA, Harvard, Vancouver, ISO, and other styles

37

Traversa, Giacomo, Davide Fugazza, Antonella Senese, and Massimo Frezzotti. "Landsat 8 OLI Broadband Albedo Validation in Antarctica and Greenland." Remote Sensing 13, no. 4 (2021): 799. http://dx.doi.org/10.3390/rs13040799.

Full text

Abstract:

The albedo is a fundamental component of the processes that govern the energy budget, and particularly important in the context of climate change. However, a satellite-based high-resolution (30 m) albedo product which can be used in the polar regions up to 82.5° latitude during the summer seasons is lacking. To cover this gap, in this study we calculate satellite-based broadband albedo from Landsat 8 OLI and validate it against broadband albedo measurements from in situ stations located on the Antarctic and Greenland icesheets. The model to derive the albedo from raw satellite data includes an

APA, Harvard, Vancouver, ISO, and other styles

38

Moradi, M., M. Sahebi, and M. Shokri. "MODIFIED OPTIMIZATION WATER INDEX (MOWI) FOR LANDSAT-8 OLI/TIRS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W4 (September 27, 2017): 185–90. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w4-185-2017.

Full text

Abstract:

Water is one of the most important resources that essential need for human life. Due to population growth and increasing need of human to water, proper management of water resources will be one of the serious challenges of next decades. Remote sensing data is the best way to the management of water resources due time and cost effectiveness over a greater range of temporal and spatial scales. Between many kinds of satellite data, from SAR to optic or from high resolution to low resolution, Landsat imagery is more interesting data for water detection and management of earth surface water. Landsa

APA, Harvard, Vancouver, ISO, and other styles

39

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

40

Czapla-Myers, Jeffrey, Joel McCorkel, Nikolaus Anderson, et al. "The Ground-Based Absolute Radiometric Calibration of Landsat 8 OLI." Remote Sensing 7, no. 1 (2015): 600–626. http://dx.doi.org/10.3390/rs70100600.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Morfitt, Ron, Julia Barsi, Raviv Levy, et al. "Landsat-8 Operational Land Imager (OLI) Radiometric Performance On-Orbit." Remote Sensing 7, no. 2 (2015): 2208–37. http://dx.doi.org/10.3390/rs70202208.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Wang, Jun, Lichun Sui, Xiaomei Yang, et al. "Extracting Coastal Raft Aquaculture Data from Landsat 8 OLI Imagery." Sensors 19, no. 5 (2019): 1221. http://dx.doi.org/10.3390/s19051221.

Full text

Abstract:

Information, especially spatial distribution data, related to coastal raft aquaculture is critical to the sustainable development of marine resources and environmental protection. Commercial high spatial resolution satellite imagery can accurately locate raft aquaculture. However, this type of analysis using this expensive imagery requires a large number of images. In contrast, medium resolution satellite imagery, such as Landsat 8 images, are available at no cost, cover large areas with less data volume, and provide acceptable results. Therefore, we used Landsat 8 images to extract the presen

APA, Harvard, Vancouver, ISO, and other styles

43

Sonobe, Rei, Yuki Yamaya, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi, and Kan-ichiro Mochizuki. "Mapping crop cover using multi-temporal Landsat 8 OLI imagery." International Journal of Remote Sensing 38, no. 15 (2017): 4348–61. http://dx.doi.org/10.1080/01431161.2017.1323286.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Rai, Amit Kumar, Nirupama Mandal, Akansha Singh, and Krishna Kant Singh. "Landsat 8 OLI Satellite Image Classification using Convolutional Neural Network." Procedia Computer Science 167 (2020): 987–93. http://dx.doi.org/10.1016/j.procs.2020.03.398.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Xiong, Longhai, Ruru Deng, Jun Li, et al. "Subpixel Surface Water Extraction (SSWE) Using Landsat 8 OLI Data." Water 10, no. 5 (2018): 653. http://dx.doi.org/10.3390/w10050653.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Wang, Qunming, George Alan Blackburn, Alex O. Onojeghuo, et al. "Fusion of Landsat 8 OLI and Sentinel-2 MSI Data." IEEE Transactions on Geoscience and Remote Sensing 55, no. 7 (2017): 3885–99. http://dx.doi.org/10.1109/tgrs.2017.2683444.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

A. Moonti, Egrilianti, Sri Sutarni Arifin, and Arthur Gani Koto. "INTERPRETASI LAHAN SAWAH DI KECAMATAN LIMBOTO BARAT MENGGUNAKAN CITRA LANDSAT 8 OLI (Interpretation of Paddy Fields in West Limboto Subdistrict Using Landsat 8 OLI)." JURNAL SAINS INFORMASI GEOGRAFIS 1, no. 1 (2018): 32. http://dx.doi.org/10.31314/jsig.v1i1.100.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

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.

Full text

Abstract:

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%).

APA, Harvard, Vancouver, ISO, and other styles

49

Muhaimin, M., D. Arisanty, S. Adyatma, A. N. Saputra, and J. Jumriani. "Utilization of Landsat 8 Oli Tirs for Environmental Quality Spatial Modeling." IOP Conference Series: Earth and Environmental Science 1421, no. 1 (2024): 012010. https://doi.org/10.1088/1755-1315/1421/1/012010.

Full text

Abstract:

Abstract The escalating human activities are precipitating substantial disruption of global ecosystems on various scales. The demand for effective techniques to measure, detect, and analyze ecological change is mounting in this context. Remote sensing technology is gaining prominence as a substitute for field measurements of spatial changes in environmental conditions. This research enhances the new remote sensing-based ecology index using spatial data from Landsat 8 Oli satellite imagery. The satellite image 2023 in the Riam Kanan area, South Kalimantan Province—data analysis using remote sen

APA, Harvard, Vancouver, ISO, and other styles

50

Leila, Gooshbor, Bavaghar Mahtab Pir, Amanollahi Jamil, and Ghobari Hamed. "Monitoring infestations of oak forests by Tortrix viridana (Lepidoptera: Tortricidae) using remote sensing." Plant Protection Science 52, No. 4 (2016): 270–76. http://dx.doi.org/10.17221/185/2015-pps.

Full text

Abstract:

We tested the suitability of Landsat images to track defoliation by insect herbivory with focus on the oak leaf roller, Tortrix viridana (Lep.: Tortricidae). Landsat images from the period before (2002) and after the T. viridana infestation (2007, 2014) were compared in oak forests of Zagros in western Iran. The Normalised Difference Vegetation Index (NDVI) was calculated for the test area from Landsat 5, 7, and 8 images. Because the red and near-infrared spectral bands of Landsat 8 OLI sensors are different from the other two, a model for the calibration of Landsat OLI NDVI was developed. The

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!