Results 1 to 10 of about 5,916,710 (320)
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 +4 more
semanticscholar +1 more source
Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data
J. Sensors, 2016 Land surface temperature is an important factor in many areas, such as global climate change, hydrological, geo-/biophysical, and urban land use/land cover.
U. Avdan, Gordana Jovanovska
semanticscholar +1 more source
Emerging Science Journal, 2023 Currently, updating the change detection (CD) of land use/land cover (LU/LC) geospatial information with high accuracy outcomes is important and very confusing with the different classification methods, datasets, satellite images, and ancillary dataset ...
Hayder Dibs +3 more
semanticscholar +1 more source
Landsat 8 OLI Broadband Albedo Validation in Antarctica and Greenland [PDF]
Remote Sensing, 2021 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.
Giacomo Traversa +3 more
openaire +3 more sources
Dynamics of Land Use and Land Cover Changes in Harare, Zimbabwe: A Case Study on the Linkage between Drivers and the Axis of Urban Expansion [PDF]
, 2019 With increasing population growth, the Harare Metropolitan Province has experienced accelerated land use and land cover (LULC) changes, influencing the city’s growth.
Marondedze, Andrew K. +1 more
core +1 more source
Evapotranspiration estimation using Landsat-8 data with a two-layer framework [PDF]
, 2017 This work was partially supported by the National Natural Science Foundation of China (41401042), National Key Basic Research Program of China (973 Program) (Grant No. 2015CB452701) and National Natural Science Foundation of China (Grant Nos.
Lu, Yang +3 more
core +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 +5 more
semanticscholar +1 more source
A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks
Frontiers in Remote Sensing, 2021 Retrieval of aquatic biogeochemical variables, such as the near-surface concentration of chlorophyll-a (Chla) in inland and coastal waters via remote observations, has long been regarded as a challenging task.
Brandon M. Smith +12 more
semanticscholar +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 +7 more
doaj +1 more source
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 +11 more
semanticscholar +1 more source