FINDING COLONIES OF BLACK-HEADED GULLS CHROICOCEPHALUS RIDIBUNDUS USING GOOGLE EARTH

被引:0
|
作者
Valle, Roberto G. [1 ]
Corregidor-Castro, Alejandro [2 ,3 ]
Scarton, Francesco [4 ]
机构
[1] Rialto 571, I-30125 Venice, Italy
[2] Univ Padua, Dipartimento Biol, Via Ugo Bassi 58-B, I-35131 Padua, Italy
[3] Natl Biodivers Future Ctr, Piazza Marina 61, I-90133 Palermo, Italy
[4] Via Franchetti 192, I-31022 Preganziol, Italy
来源
MARINE ORNITHOLOGY | 2024年 / 52卷 / 01期
关键词
Black -headed Gull; breeding; Google Earth; Chroicocephalus ridibundus; satellite imagery; Lagoon of Venice; SATELLITE IMAGERY; AERIAL IMAGES; PENGUIN; CENSUS; TRENDS;
D O I
暂无
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
We explore the possibility of identifying Black-headed Gull Chroicocephalus ridibundus colonies in the saltmarshes of the Lagoon of Venice, Italy, using Google Earth satellite images. One reproductive season was considered (June 2017), based on the images available on Google Earth. This species builds nests clustered around tidal pools and tidal creeks, providing a dark background to reveal the white gulls. Images of the southern part of the lagoon (excluding fish farms) were analyzed by dividing it into sectors (n = 403) using the Google Earth grid at an elevation of 100 m above ground level. The results of the satellite count were compared with field data collected in the same season. Image analysis revealed five colonies, with excellent sensitivity (100%) but only good specificity (88%), due to the presence of numerous clear areolae falling within the spectral range of nests; these consisted of plastic litter and dry, stranded vegetation. Overall, our results indicate that Black-headed Gull colonies can be found in marsh-island habitat using Google Earth. While this approach presents sub-optimal specificity due to both the abundance of whitish debris and low image resolution, future developments in software capabilities hold the potential to overcome these limitations and enhance the accuracy of the proposed approach.
引用
收藏
页码:105 / 111
页数:7
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