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Villoslada Peciña, Miguel
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1

Machine Learning Classification and Accuracy Assessment fro..:

Martínez Prentice, Ricardo ; Villoslada Peciña, Miguel ; Ward, Raymond D....
Remote Sensing.  13 (2021)  18 - p. 3669 , 2021
Link: https://doi.org/10.3390/..
 
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2

The Application of an Unmanned Aerial System and Machine Le..:

Li, Kai-Yun ; Burnside, Niall G. ; Sampaio de Lima, Raul...
Remote Sensing.  13 (2021)  10 - p. 1994 , 2021
Link: https://doi.org/10.3390/..
 
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3

Country-scale mapping of ecosystem services provided by sem..:

Villoslada Peciña, Miguel ; Ward, Raymond D. ; Bunce, Robert G.H....
Science of The Total Environment.  661 (2019)  - p. 212-225 , 2019
Link: https://doi.org/10.1016/..
 
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4

An Evaluation of the Effects of UAS Flight Parameters on Di..:

de Lima, Raul Sampaio ; Lang, Mait ; Burnside, Niall G....
Remote Sensing.  13 (2021)  6 - p. 1121 , 2021
Link: https://doi.org/10.3390/..
 
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5

An Automated Machine Learning Framework in Unmanned Aircraf..:

Li, Kai-Yun ; Burnside, Niall G. ; de Lima, Raul Sampaio...
Remote Sensing.  13 (2021)  16 - p. 3190 , 2021
Link: https://doi.org/10.3390/..
 
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6

Factors influencing IUCN threat levels to orchids across Eu..:

Kull, Tiiu ; Selgis, Ulvi ; Peciña, Miguel Villoslada...
Ecology and Evolution.  6 (2016)  17 - p. 6245-6265 , 2016
Link: https://doi.org/10.1002/..
 
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7

Synergistic use of Sentinel-2 and UAV-derived data for Plan..:

Martinez Prentice, Ricardo ; Villoslada Peciña, Miguel ; Ward, Raymond D...
doi:10.5194/bg-2023-95.  , 2023
Link: https://doi.org/10.5194/..
 
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8

Impacts of environmental pollution on mangrove phenology: C..:

Celis-Hernandez, Omar ; Villoslada-Peciña, Miguel ; Ward, Raymond D....
Science of The Total Environment.  810 (2022)  - p. 152309 , 2022
Link: https://doi.org/10.1016/..
 
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9

A UAV-based approach for biomass prediction and sward struc..:

Villoslada Pecina, Miguel ; Bergamo, Thaisa Fernandes ; Ward, Raymond..
Villoslada Pecina , M , Bergamo , T F , Ward , R , Joyce , C & Sepp , K 2022 , ' A UAV-based approach for biomass prediction and sward structure characterization in coastal meadows ' , EGU General Assembly 2022 , Vienna , Austria , 23/05/22 - 27/05/22 . https://doi.org/10.5194/egusphere-egu22-8301.  , 2022
Link: https://research.brighto..
 
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10

An Evaluation of the Effects of UAS Flight Parameters on Di..:

Sampaio de Lima, Raul ; Lang, Mait ; Burnside, Niall...
Sampaio de Lima , R , Lang , M , Burnside , N , Villoslada Pecina , M , Arumae , T , Laarmann , D , Ward , R , Vain , A & Sepp , K 2021 , ' An Evaluation of the Effects of UAS Flight Parameters on Digital Aerial Photogrammetry Processing and Dense-Cloud Production Quality in a Scots Pine Forest ' , Remote Sensing , vol. 13 , no. 6 , 1121 . https://doi.org/10.3390/rs13061121.  , 2021
Link: https://research.brighto..
 
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11

A tiered framework for mapping and assessing ecosystem serv..:

Villoslada Peciña, Miguel
Eesti Maaülikooli doktoritööd.  , 2020
Link: http://hdl.handle.net/10..
 
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12

LIFE Viva Grass recommendations on ecosystem-based planning..:

Ruskule, Anda ; Gulbinas, Justas ; Prižavoite, Dana...
http://hdl.handle.net/10492/6171.  , 2019
Link: http://hdl.handle.net/10..
 
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13

Looduse õpperadade mõjukuse hinnang keskkonnahariduse võima..:

Sepp, Kalev (koostaja) ; Vellak, Ain (koostaja) ; Villoslada Peciña, Miguel (koostaja)
http://hdl.handle.net/10492/5545.  , 2013
Link: http://hdl.handle.net/10..
 
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14

The Application of an Unmanned Aerial System and Machine Le..:

Li, Kai-Yun ; Burnside, Niall ; Sampaio de Lima, Raul...
Li , K-Y , Burnside , N , Sampaio de Lima , R , Peciña , M V , Sepp , K , Yang , M-D , Raet , J , Vain , A , Selge , A & Sepp , K 2021 , ' The Application of an Unmanned Aerial System and Machine Learning Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance Trials ' , Remote Sensing , vol. 13 , no. 10 , 1994 . https://doi.org/10.3390/rs13101994.  , 2021
Link: https://research.brighto..
 
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15

Machine Learning Classification and Accuracy Assessment fro..:

Ricardo Martínez Prentice ; Miguel Villoslada Peciña ; Raymond D. Ward...
Forest Remote Sensing.  , 2021
Link: https://doi.org/10.3390/..
 
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