Multispectral Resampling of Seagrass Species Spectra: WorldView-2, Quickbird, Sentinel-2A, ASTER VNIR, and Landsat 8 OLI

5th Geoinformation Science Symposium 2017

地球科学;计算机科学

Wicaksono, Pramaditya^1 ; Salivian Wisnu Kumara, Ignatius^2 ; Kamal, Muhammad^3 ; Afif Fauzan, Muhammad^2 ; Zhafarina, Zhafirah^2 ; Agus Nurswantoro, Dwi^4 ; Noviaris Yogyantoro, Rifka^2

Remote Sensing Laboratory, Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta

55281, Indonesia^1

Cartography and Remote Sensing, Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta

55281, Indonesia^2

PUSPICS, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta

55281, Indonesia^3

Diving Unit, Universitas Gadjah Mada, Yogyakarta

55281, Indonesia^4

关键词: Classification results;    Classification technique;    Multi-spectral;    Multispectral remote sensing image;    Resampling;    Seagrasses;    species;    Spectral angle mappers;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/98/1/012039/pdf
DOI  :  10.1088/1755-1315/98/1/012039

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Although spectrally different, seagrass species may not be able to be mapped from multispectral remote sensing images due to the limitation of their spectral resolution. Therefore, it is important to quantitatively assess the possibility of mapping seagrass species using multispectral images by resampling seagrass species spectra to multispectral bands. Seagrass species spectra were measured on harvested seagrass leaves. Spectral resolution of multispectral images used in this research was adopted from WorldView-2, Quickbird, Sentinel-2A, ASTER VNIR, and Landsat 8 OLI. These images are widely available and can be a good representative and baseline for previous or future remote sensing images. Seagrass species considered in this research are Enhalus acoroides (Ea), Thalassodendron ciliatum (Tc), Thalassia hemprichii (Th), Cymodocea rotundata (Cr), Cymodocea serrulata (Cs), Halodule uninervis (Hu), Halodule pinifolia (Hp), Syringodum isoetifolium (Si), Halophila ovalis (Ho), and Halophila minor (Hm). Multispectral resampling analysis indicate that the resampled spectra exhibit similar shape and pattern with the original spectra but less precise, and they lose the unique absorption feature of seagrass species. Relying on spectral bands alone, multispectral image is not effective in mapping these seagrass species individually, which is shown by the poor and inconsistent result of Spectral Angle Mapper (SAM) classification technique in classifying seagrass species using seagrass species spectra as pure endmember. Only Sentinel-2A produced acceptable classification result using SAM.