has been cited by the following article(s):
[1]
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Evaluation of common reed (Phragmites australis) bed changes in the context of management using earth observation and automatic threshold
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European Journal of …,
2023 |
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[2]
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АНАЛИЗ ФАКТОРОВ, ЗНАЧИМЫХ ДЛЯ ЗООБЕНТОСА ОЗЕРА БЕЛОЕ ВОЛОГОДСКОЙ ОБЛАСТИ
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Принципы экологии,
2021 |
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[3]
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Analysis of vegetation dynamics using the normalized difference vegetation index (NDVI) at the archipelago of Fernando de Noronha, Pernambuco, Brazil
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2020 |
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[4]
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A remote sensing approach for assessing the invasion of Najas marina in Madu Ganga Estuary, Sri Lanka
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2020 |
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[5]
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Canopy Reflectance Modeling of Aquatic Vegetation for Algorithm Development: Global Sensitivity Analysis
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Remote Sensing,
2018 |
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[6]
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Bio-optical modeling and remote sensing of aquatic macrophytes
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Bio-optical Modeling and Remote Sensing of Inland Waters,
2017 |
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[7]
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Classification of seagrass beds by coupling airborne LiDAR bathymetry data and digital aerial photographs
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Aquatic Biodiversity Conservation and Ecosystem Services,
2016 |
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[8]
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宍道湖・中海 (島根大学汽水域研究センター)(< 連載> 野外研究サイトから (29))
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日本生態学会誌,
2015 |
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[9]
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宍道湖, 天神川および斐伊川河口域の小河川における 2013 年の水生植物相
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Laguna,
2015 |
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[10]
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О создании биологических (зоологических) заказников для сохранения водных биологических ресурсов и среды их обитания на Шекснинском и …
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[1]
|
Evaluation of common reed (Phragmites australis) bed changes in the context of management using earth observation and automatic threshold
European Journal of Remote Sensing,
2023
DOI:10.1080/22797254.2022.2161070
|
|
|
[2]
|
Evaluation of common reed (
Phragmites australis
) bed changes in the context of management using earth observation and automatic threshold
European Journal of Remote Sensing,
2023
DOI:10.1080/22797254.2022.2161070
|
|
|
[3]
|
Canopy Reflectance Modeling of Aquatic Vegetation for Algorithm Development: Global Sensitivity Analysis
Remote Sensing,
2018
DOI:10.3390/rs10060837
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|
|
[4]
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Canopy Reflectance Modeling of Aquatic Vegetation for Algorithm Development: Global Sensitivity Analysis
Remote Sensing,
2018
DOI:10.3390/rs10060837
|
|
|
[5]
|
Bio-optical Modeling and Remote Sensing of Inland Waters
2017
DOI:10.1016/B978-0-12-804644-9.00009-4
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[6]
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Aquatic Biodiversity Conservation and Ecosystem Services
Ecological Research Monographs,
2016
DOI:10.1007/978-981-10-0780-4_5
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