Results 31 to 40 of about 1,146,490 (325)

Comparing spatial patterns of marine vessels between vessel-tracking data and satellite imagery

open access: yesFrontiers in Marine Science, 2023
Monitoring marine use is essential to effective management but is extremely challenging, particularly where capacity and resources are limited. To overcome these limitations, satellite imagery has emerged as a promising tool for monitoring marine vessel ...
Shinnosuke Nakayama   +12 more
doaj   +1 more source

Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep Learning and Physics-Based Approaches

open access: yesRemote Sensing, 2022
The ability to monitor the evolution of the coastal zone over time is an important factor in coastal knowledge, development, planning, risk mitigation, and overall coastal zone management.
R. Benshila   +7 more
semanticscholar   +1 more source

Geometry-Guided Street-View Panorama Synthesis From Satellite Imagery [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
This paper presents a new approach for synthesizing a novel street-view panorama given a satellite image, as if captured from the geographical location at the center of the satellite image.
Yujiao Shi   +3 more
semanticscholar   +1 more source

Comparison of Satellite Imagery for Identifying Seagrass Distribution Using a Machine Learning Algorithm on the Eastern Coast of South Korea

open access: yesJournal of Marine Science and Engineering, 2023
Seagrass is an essential component of coastal ecosystems because of its capability to absorb blue carbon, and its involvement in sustaining marine biodiversity.
Liadira Kusuma Widya   +5 more
doaj   +1 more source

LMODEL: A satellite precipitation methodology using cloud development modeling. Part I: Algorithm construction and calibration [PDF]

open access: yes, 2009
The Lagrangian Model (LMODEL) is a new multisensor satellite rainfall monitoring methodology based on the use of a conceptual cloud-development model that is driven by geostationary satellite imagery and is locally updated using microwave-based rainfall ...
Bellerby, Tim   +2 more
core   +3 more sources

Sentinel-2 Satellite Imagery for Urban Land Cover Classification by Optimized Random Forest Classifier

open access: yesApplied Sciences, 2021
Land cover classification is able to reflect the potential natural and social process in urban development, providing vital information to stakeholders. Recent solutions on land cover classification are generally addressed by remotely sensed imagery and ...
Tianxiang Zhang   +4 more
semanticscholar   +1 more source

A generalizable and accessible approach to machine learning with global satellite imagery [PDF]

open access: yesNature Communications, 2020
Combining satellite imagery with machine learning (SIML) has the potential to address global challenges by remotely estimating socioeconomic and environmental conditions in data-poor regions, yet the resource requirements of SIML limit its accessibility ...
Esther Rolf   +7 more
semanticscholar   +1 more source

Imagery metadata development based on ISO/TC 211 standards

open access: yesData Science Journal, 2007
This paper reviews the present status and major problems of the existing ISO standards related to imagery metadata. An imagery metadata model is proposed to facilitate the development of imagery metadata on the basis of conformance to these standards and
Rong Xie, Ryosuke Shibasaki
doaj   +1 more source

A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery

open access: yesRemote Sensing, 2021
The detection of building footprints and road networks has many useful applications including the monitoring of urban development, real-time navigation, etc.
C. Ayala, R. Sesma, C. Aranda, M. Galar
semanticscholar   +1 more source

Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image [PDF]

open access: yesE3S Web of Conferences
The use of satellite imagery provides valuable information on vegetation (agriculture, forest, etc.). Among the recently launched satellites are the Mohammed VI satellite. The Mohammed VI satellite imagery has a very high spatial resolution (VHR) (50 cm),
chikh Essbiti Mohammed   +8 more
doaj   +1 more source

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