Combined use of Sentinel-1 and Sentinel-2 data for improving above ground biomass estimation
Penulis/Author
Narissara Nuthammachot (1); Askar Askar (2); Dimitris Stratoulias (3); Prof. Dr. Pramaditya Wicaksono, S.Si., M.Sc. (4)
Tanggal/Date
2022
Kata Kunci/Keyword
Abstrak/Abstract
Above-ground Biomass (AGB) represents the largest amount of biomass found on earth. Passive and active remote sensors have been a useful tool in estimating AGB for this purpose; nevertheless, both data sources suffer from saturation problems in dense vegetation. A combination of optical and radar data could potentially increase the accuracy of AGB estimation. In this study we evaluate the synergistic use of Sentinel-1 and Sentinel-2 for assessing AGB in a private forest in Yogyakarta, Indonesia. Forty ?ve sample plots of 20m x 20m were used as ground truth data. AGB correlated with Sentinel-1 backscatter and Sentinel-2 derived variables with R2 = 0.34 and R2 = 0.82, respectively; nevertheless, the synergistic use of Sentinel-1 and Sentinel-2 yielded the highest accuracy (i.e., R2 = 0.84). The results indicate that AGB in Yogyakarta is most accurately estimated based on the synergy of optical and radar satellite images.
Rumpun Ilmu
Penginderaan Jauh
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
6_korespondensi.pdf
[PAK] Bukti Korespondensi Penulis
2
3_Editorial Board.pdf
[PAK] Halaman Editorial
3
1_Cover.pdf
[PAK] Halaman Cover
4
Combined use of Sentinel 1 and Sentinel 2 data for improving above ground biomass estimation.pdf
[PAK] Full Dokumen
5
Geocarto International_ Vol 37, No 2.pdf
[PAK] Daftar Isi
6
Combined use of Sentinel-1 and Sentinel-2_Similarity.pdf
