INTERNATIONAL JOURNAL OF AGRICULTURAL TECHNOLOGY

Volume 15, No. 06, Month NOVEMBER, Year 2019, Pages 835 - 844

Application of aerial photography with visible atmospherically resistant index by using unmanned aerial vehicles for seagrass bed classification in kung krabaen bay, thailand

Chayhard, S., Manthachitra, V. and Buranapratheprat, A.

Abstract Download PDF

The classification based on VARI resulted in three classes, namely (i) long-leaved species (Enhalus acoroides), (ii) short-leaved species (Halodule pinifolia and Halodule uninervis), and (iii) other objects. The aerial photographs showed clearly differentiation in seagrass species which different digital number value ranges with the VARI approach. The overall accuracy of visual interpretation was higher than supervised classification of 88.88% and 61.11%, respectively. The technique confirmed to be useful for seagrass species mapping in other areas. The results concluded that H. pinifolia and H. uninervis that distributing on sandy clay and seashell substrates, while E. acoroides distributed only on sandy areas.

Keywords

Aerial photography, Visible Atmospherically Resistant Index, Seagrass bed classification

---