Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Alkiviadis Koukos"'
Autor:
Hyun-Woo Jo, Eunbeen Park, Vasileios Sitokonstantinou, Joon Kim, Sujong Lee, Alkiviadis Koukos, Woo-Kyun Lee
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
The integration of remote sensing and state-of-the-art deep learning models has enabled the generation of highly accurate semantic segmentation maps to serve the agricultural sector, for which continuous land monitoring is required. However, despite
Externí odkaz:
https://doaj.org/article/bb3be9260cc94f64b54181e35d112e7d
Autor:
Paul Senty, Radoslaw Guzinski, Kenneth Grogan, Robert Buitenwerf, Jonas Ardö, Lars Eklundh, Alkiviadis Koukos, Torbern Tagesson, Michael Munk
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1833 (2024)
Monitoring ecosystems at regional or continental scales is paramount for biodiversity conservation, climate change mitigation, and sustainable land management. Effective monitoring requires satellite imagery with both high spatial resolution and high
Externí odkaz:
https://doaj.org/article/a178c108184b45dba3ee1e9d35710e2e
Autor:
Vasileios Sitokonstantinou, Alkiviadis Koukos, Ilias Tsoumas, Nikolaos S Bartsotas, Charalampos Kontoes, Vassilia Karathanassi
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0282364 (2023)
Crop phenology is crucial information for crop yield estimation and agricultural management. Traditionally, phenology has been observed from the ground; however Earth observation, weather and soil data have been used to capture the physiological grow
Externí odkaz:
https://doaj.org/article/43330b4b45564125a962cc75ca44e867
Autor:
Maria Rousi, Vasileios Sitokonstantinou, Georgios Meditskos, Ioannis Papoutsis, Ilias Gialampoukidis, Alkiviadis Koukos, Vassilia Karathanassi, Thanassis Drivas, Stefanos Vrochidis, Charalampos Kontoes, Ioannis Kompatsiaris
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 529-552 (2021)
During the last decades, massive amounts of satellite images are becoming available that can be enriched with semantic annotations for the creation of value-added earth observation products. One challenge is to extract knowledge from the raw satellit
Externí odkaz:
https://doaj.org/article/a1bdba766a964e4d9e7230b55672c240
Autor:
Maria Ioannidou, Alkiviadis Koukos, Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5739 (2022)
Crop classification is an important remote sensing task with many applications, e.g., food security monitoring, ecosystem service mapping, climate change impact assessment, etc. This work focuses on mapping 10 crop types at the field level in an agri
Externí odkaz:
https://doaj.org/article/5d2a72f0ad754f5ab3870c9479437276
Autor:
Vasileios Sitokonstantinou, Alkiviadis Koukos, Thanassis Drivas, Charalampos Kontoes, Ioannis Papoutsis, Vassilia Karathanassi
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1769 (2021)
The demand for rice production in Asia is expected to increase by 70% in the next 30 years, which makes evident the need for a balanced productivity and effective food security management at a national and continental level. Consequently, the timely
Externí odkaz:
https://doaj.org/article/687fded981704f36886303e70f404f7c
Publikováno v:
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
The recent advances in machine learning and the availability of free and open big Earth data (e.g., Sentinel missions), which cover large areas with high spatial and temporal resolution, have enabled many agriculture monitoring applications. One exam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f6af70bf5c580ca2eeb3a4a82348aff
https://doi.org/10.1109/ivmsp54334.2022.9816335
https://doi.org/10.1109/ivmsp54334.2022.9816335
Autor:
Thanassis Drivas, Vasileios Sitokonstantinou, Iason Tsardanidis, Alkiviadis Koukos, Charalampos Kontoes, Vassilia Karathanassi
The modernization of the Common Agricultural Policy (CAP) requires the large scale and frequent monitoring of agricultural land. Towards this direction, the free and open satellite data (i.e., Sentinel missions) have been extensively used as the sour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa99b38ed993f2d20c813d711fb92873
Autor:
Alkiviadis Koukos, Vassilia Karathanassi, Nikolaos S. Bartsotas, Vasileios Sitokonstantinou, Charalampos Kontoes
Publikováno v:
IGARSS
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
This study presents a dynamic phenology stage estimation methodology for cotton towards early warning and mitigation advice against natural disasters. First, a time-series comparison algorithm, based on Earth Observation (EO) data, is used to assign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4c5057244f96d4442a9d23762ec0b6d
https://zenodo.org/record/6189937
https://zenodo.org/record/6189937
Autor:
Thanassis Drivas, Vassilia Karathanassi, Vasileios Sitokonstantinou, Alkiviadis Koukos, Haris Kontoes, Antonios Koutroumpas, Ioannis Papoutsis
Publikováno v:
Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020).
Effective and efficient control of the agrarian obligations imposed by the Common Agricultural Policy (CAP) and the high-level decision making for national and global food security, requires systematic and timely monitoring of the agricultural land.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c1276a2138d8c0b289738063c14d81e
https://doi.org/10.1117/12.2571721
https://doi.org/10.1117/12.2571721