Results 41 to 50 of about 19,262 (235)

Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution

Remote Sensing, 2017
The Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) method to downscale Landsat-8 Operational Land Imager (OLI) 30-m data to Sentinel-2 multi-spectral instrument (MSI) 20-m resolution is presented. The method first downscales the Landsat-8 30-m OLI
Zhongbin Li, Hankui K. Zhang, David P. Roy, Lin Yan, Haiyan Huang, Jian Li   +5 more
doaj   +1 more source

Coherence‐Gated Wrapped‐Phase InSAR With Matrix‐Based Uncertainty Diagnostics for Burial‐Mound Hotspot Ranking (Sicily, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino, Hourakhsh Ahmadnia, Rokhsaneh Rahbarianyazd Ahmadnia   +2 more
wiley   +1 more source

SPECTRAL UNMIXING ANALYSIS OF TIME SERIES LANDSAT 8 IMAGES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Temporal analysis of Landsat 8 images opens up new opportunities in the unmixing procedure. Although spectral analysis of time series Landsat imagery has its own advantage, it has rarely been studied.
R. Zhuo, L. Xu, J. Peng, Y. Chen
doaj   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

The Performance of Landsat-8 and Landsat-9 Data for Water Body Extraction Based on Various Water Indices: A Comparative Analysis

Remote Sensing
The rapid and accurate extraction of water information from satellite imagery has been a crucial topic in remote sensing applications and has important value in water resources management, water environment monitoring, and disaster emergency management ...
Jie Chen, Yankun Wang, Jingzhe Wang, Yinghui Zhang, Yue Xu, Ou Yang, Rui Zhang, Jing Wang, Zhensheng Wang, Feidong Lu, Zhongwen Hu   +10 more
doaj   +1 more source

Fractures models comparison using GIS data around crater lakes in Cameroon volcanic line environment

Egyptian Journal of Remote Sensing and Space Sciences, 2021
This study assesses the contribution of Landsat 7 ETM + and Landsat 8 OLI images to observe existing fractures and faults of at least 12 km in length around the lakes Nyos, Monoun and Oku whose are three major crater lakes in the Cameroon Volcanic Line ...
Marthe Mbond Ariane Gweth, Harlin Ekoro Nkoungou, Jorelle Larissa Meli'i, Daniel Hervé Gouet, Philippe Njandjock Nouck   +4 more
doaj   +1 more source

Validation of the LaSRC Cloud Detection Algorithm for Landsat 8 Images [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
This study aims at validating the cloud mask produced by the land surface reflectance code (LaSRC) for Landsat 8 data. To detect clouds in optical satellite imagery, LaSRC uses quality assurance (QA) layers, which are produced during the atmospheric correction process. The QA layers include a “cloud mask,” which is based on the estimation of a residual
Skakun, Sergii, Vermote, Eric, Roger, Jean-Claude, Justice, Christopher, Masek, Jeffrey   +4 more
openaire   +1 more source

Comparative Assessment of Landsat‐8 and SPOT‐7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands

Biological Diversity, EarlyView.
We compared Landsat‐8 OLI, SPOT, and hyperspectral data for estimating vascular plant diversity in China's Hunshandak Sandland. SPOT data showed the strongest correlation with alpha diversity, followed by hyperspectral data, with Landsat‐8 performing the weakest.
Ying Ye, Jianxiong Lan, Xiaoyue Zhang, Yu Peng   +3 more
wiley   +1 more source

Validating Digital Earth Australia NBART for the Landsat 9 Underfly of Landsat 8

Remote Sensing
In recent years, Geoscience Australia has undertaken a successful continental-scale validation program, targeting Landsat and Sentinel analysis-ready data surface reflectance products.
Guy Byrne, Mark Broomhall, Andrew J. Walsh, Medhavy Thankappan, Eric Hay, Fuqin Li, Brendon McAtee, Rodrigo Garcia, Janet Anstee, Gemma Kerrisk, Nathan Drayson, Jason Barnetson, Ian Samford, Robert Denham   +13 more
doaj   +1 more source

Analysis of Landsat 8 detection of the interannual variability of grassland curing in Greater Melbourne, Australia

International Journal of Digital Earth, 2020
As one of the main components of Grassland Fire Danger Index, grassland curing degree provides crucial information for determining grassland fire danger. Accurate estimates of grassland curing are critical for determining grassland fire risk.
Sike Li
doaj   +1 more source