Results 11 to 20 of about 1,087,522 (356)
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
ISPRS Journal of Photogrammetry and Remote Sensing, 2021 Identifying and characterizing vascular plants in time and space is required in various disciplines, e.g. in forestry, conservation and agriculture.
Teja Kattenborn +3 more
semanticscholar +3 more sources
INTEGRATED MINING IMPACT MONITORING (EU-PROJECT I2MON) FOR OPEN-PIT AND UNDERGROUND MINES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Monitoring mining impact has become increasingly important as the awareness of safety and environmental protection is rising. Our project Integrated Mining Impact Monitoring (i2Mon), funded by European Commission – Research Fund for Coal and Steel ...
C. H. Yang +4 more
doaj +1 more source
Remote Sensing, 2021 Water is undoubtedly the most valuable resource of human society and an essential component of the ecosystem [...]
W. Duan +6 more
semanticscholar +1 more source
Innovative Technologies for Terrestrial Remote Sensing [PDF]
Remote Sensing, 2015 Characterizing and monitoring terrestrial, or land, surface features, such as forests, deserts, and cities, are fundamental and continuing goals of Earth Observation (EO). EO imagery and related technologies are essential for increasing our scientific understanding of environmental processes, such as carbon capture and albedo change, and to manage and ...
Paul Aplin, Doreen Boyd
openaire +4 more sources
Sustainability, 2021 The dynamic nature and unsustainable exploitation of groundwater aquifers pose a range of management challenges. The accurate basin-wide hydrological assessment is very critical for the quantification of abstraction rates, spatial patterns of groundwater
G. Akhter +4 more
semanticscholar +1 more source
THE DEVELOPMENT AND INDUSTRIALIZATION RECOMMENDATION OF CURRENT AERIAL REMOTE SENSING TECHNOLOGY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 At present, the research development and industrialization of aerial remote sensing technology in China are faced with enormous requirements and developing chance. It is the strategic selection for remote sensing technology to perfect the construction of
Z. Hong
doaj +1 more source
Remote Sensing, 2020 Although advancements in remote sensing technology have facilitated quick capture and identification of the source and location of oil spills in water bodies, the presence of other biogenic elements (lookalikes) with similar visual attributes hinder ...
S. Yekeen, A. Balogun
semanticscholar +1 more source
The digital Earth Observation Librarian: a data mining approach for large satellite images archives
Big Earth Data, 2020 Throughout the years, various Earth Observation (EO) satellites have generated huge amounts of data. The extraction of latent information in the data repositories is not a trivial task.
Mihai Datcu +6 more
doaj +1 more source
HYPERSPECTRAL DATA CLASSIFICATION USING FACTOR GRAPHS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Accurate classification of hyperspectral data is still a competitive task and new classification methods are developed to achieve desired tasks of hyperspectral data use.
A. Makarau +3 more
doaj +1 more source
A Visualization Framework for Unsupervised Analysis of Latent Structures in SAR Image Time Series
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Openly available satellite image time series (SITS) are considered an important resource for spatiotemporal change monitoring. However, obtaining semantically annotated datasets for such tasks is an expensive affair.
Chandrabali Karmakar +3 more
doaj +1 more source