Results 51 to 60 of about 13,861,689 (336)

A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring

Remote Sensing, 2017
Combination of different satellite data will provide increased opportunities for more frequent cloud-free surface observations due to variable cloud cover at the different satellite overpass times and dates. Satellite data from the polar-orbiting Landsat-
Jian Li, D. Roy
semanticscholar   +1 more source

National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images

Isprs Journal of Photogrammetry and Remote Sensing, 2020
Spatially and thematically explicit information of wetlands is important to understanding ecosystem functions and services, as well as for establishment of management policy and implementation.
Dehua Mao, Zongming Wang, Bao-Jia Du, Lin Li, Yan-Lin Tian, M. Jia, Yuan Zeng, K. Song, Ming Jiang, Ye-Qiao Wang   +9 more
semanticscholar   +1 more source

Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park

Remote Sensing, 2021
With the general objective of producing a 2018–2020 Land Use/Land Cover (LULC) map of the Maiella National Park (central Italy), useful for a future long-term LULC change analysis, this research aimed to develop a Landsat 8 (L8) data composition and ...
Andrea Tassi, D. Gigante, G. Modica, L. di Martino, Marco Vizzari   +4 more
semanticscholar   +1 more source

Landsat 9 pre-launch sensor characterization and comparison with Landsat 8 results [PDF]

Sensors, Systems, and Next-Generation Satellites XXIII, 2019
Landsat 9 is planned for launch in December 2020 to continue the mission of observing changes on the Earth’s surface that began in 1972 with the launch of Landsat 1. Like Landsat 8, Landsat 9 will carry two imaging instruments: Operational Land Imager 2 (OLI-2), designed and built by Ball Aerospace**, and Thermal Infrared Sensor 2 (TIRS-2 ...
Esad Micijevic, Md. Obaidul Haque, Pat Scaramuzza, James Storey, Cody Anderson, Brian Markham   +5 more
openaire   +2 more sources

Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

Remote Sensing of Environment, 2016
Area and spatial distribution information of paddy rice are important for understanding of food security, water use, greenhouse gas emission, and disease transmission.
Jinwei Dong, Xiangming Xiao, M. Menarguez, Ge-Li Zhang, Yuanwei Qin, D. Thau, Ç. Biradar, B. Moore   +7 more
semanticscholar   +1 more source

Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms

Remote Sensing, 2021
With the development of remote sensing algorithms and increased access to satellite data, generating up-to-date, accurate land use/land cover (LULC) maps has become increasingly feasible for evaluating and managing changes in land cover as created by ...
Laleh Ghayour, A. Neshat, Sina Paryani, H. Shahabi, A. Shirzadi, Wei Chen, N. Al‐Ansari, M. Geertsema, Mehdi Pourmehdi Amiri, Mehdi Gholamnia, J. Dou, Anuar Ahmad   +11 more
semanticscholar   +1 more source

Antarctic-wide annual ice flow maps from Landsat 8 imagery between 2013 and 2019

International Journal of Digital Earth, 2021
Ice velocity constitutes a key parameter for quantifying ice-sheet discharge rates and is thus crucial for improving the coupled models of the Antarctic ice sheet towards accurately predict its contribution to future global sea-level rise.
Qiang Shen, Hansheng Wang, C. K. Shum, Liming Jiang, Houtse Hsu, Fan Gao, Yingli Zhao   +6 more
doaj   +1 more source

Continuity of Top-of-Atmosphere, Surface, and Nadir BRDF-Adjusted Reflectance and NDVI between Landsat-8 and Landsat-9 OLI over China Landscape

Remote Sensing, 2023
The successful launch of Landsat-9 marks a significant achievement in preserving the data legacy and ensuring the continuity of Landsat’s calibrated Earth observations.
Yuanheng Sun, Binyu Wang, Senlin Teng, Bingxin Liu, Zhaoxu Zhang, Ying Li   +5 more
doaj   +1 more source

Comparison of mangrove canopy covering accuracy using landsat 8 and landsat 9 imagery based on several vegetation indices in West Bali National Park [PDF]

E3S Web of Conferences, 2023
The remote sensing implementation is beneficial as a means of monitoring the ecosystem. Landsat imagery is a remote sensing (open access) based data source with a long and wide monitoring period with good image quality.
As-syakur Abd. Rahman, Aryunisha Putu Echa Priyaning, Wijana I. Made Sara, Novanda I. Gede Agus, Dewi I. Gusti Ayu Istri Pradnyandari, Andiani Anak Agung Eka, Premananda Made Goura, Sugiana I. Putu   +7 more
doaj   +1 more source

Active Fire Detection from Landsat-8 Imagery Using Deep Multiple Kernel Learning

Remote Sensing, 2022
Active fires are devastating natural disasters that cause socio-economical damage across the globe. The detection and mapping of these disasters require efficient tools, scientific methods, and reliable observations.
A. Rostami, Reza Shah-Hosseini, Shabnam Asgari, A. Zarei, Mohammad Aghdami-Nia, Saeid Homayouni   +5 more
semanticscholar   +1 more source