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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-5-2024
https://doi.org/10.5194/isprs-annals-X-5-2024-111-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-X-5-2024-111-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
11 Nov 2024
| 11 Nov 2024
Shoreline Change Analysis in New Washington, Aklan using Digital Shoreline Analysis System (DSAS)
Ainalyn Nerves
Department of Geodetic Engineering, University of the Philippines Diliman, Philippines
Francesca Deighl Rivera
Department of Geodetic Engineering, University of the Philippines Diliman, Philippines
Philippine Space Agency, Philippines
Ariel Blanco
Department of Geodetic Engineering, University of the Philippines Diliman, Philippines
Philippine Space Agency, Philippines
Yasmin Tirol
Aklan State University, Philippines
Kazuo Nadaoka
School of Environment and Society, Tokyo Institute of Technology, Japan
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M. I. D. Mabalot, L. S. Sumera, A. C. Blanco, and B. G. Carcellar
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J. M. Medina, R. L. Jalbuena, R. A. B. Torres, and A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 223–230, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-223-2023, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-223-2023, 2023
C. D. C. Zablan, A. C. Blanco, K. Nadaoka, K. P. Martinez, and A. B. Baloloy
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 391–401, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-391-2023, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-391-2023, 2023
C. D. C. Zablan, A. A. Nerves, A. C. Blanco, A. B. Baloloy, K. P. Martinez, and M. E. P. Neri
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 403–413, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-403-2023, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-403-2023, 2023
A. C. Blanco, B. J. J. Harder, and I. A. R. Teh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 87–92, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-87-2023, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-87-2023, 2023
Faisal Amri, Takashi Nakamura, Atsushi Watanabe, Aditiya R. Kartadikaria, and Kazuo Nadaoka
EGUsphere, https://doi.org/10.5194/egusphere-2022-1067, https://doi.org/10.5194/egusphere-2022-1067, 2022
Preprint archived
Short summary
Short summary
This study investigates the sea-air CO2 exchange variabilities across the Tropical Maritime Continent between 2010–2019 using numerical model experiment. Model results suggested some periods with higher-than-usual CO2 degassing to the atmosphere related to Indo-Pacific climatic events over the 2010–2019 course. Study conducted here may give insights about sea-air CO2 exchange dynamics in the undersampled area that poorly represented in many climate models and global reconstruction product.
S. F. Meneses III and A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1139–1146, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1139-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1139-2022, 2022
A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1077–1082, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1077-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1077-2022, 2022
Masaya Yoshikai, Takashi Nakamura, Rempei Suwa, Sahadev Sharma, Rene Rollon, Jun Yasuoka, Ryohei Egawa, and Kazuo Nadaoka
Biogeosciences, 19, 1813–1832, https://doi.org/10.5194/bg-19-1813-2022, https://doi.org/10.5194/bg-19-1813-2022, 2022
Short summary
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This study presents a new individual-based vegetation model to investigate salinity control on mangrove productivity. The model incorporates plant hydraulics and tree competition and predicts unique and complex patterns of mangrove forest structures that vary across soil salinity gradients. The presented model does not hold an empirical expression of salinity influence on productivity and thus may provide a better understanding of mangrove forest dynamics in future climate change.
E. R. G. Martinez, R. J. L. Argamosa, R. B. Torres, and A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W3-2021, 211–214, https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-211-2022, https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-211-2022, 2022
R. J. L. Argamosa, A. C. Blanco, and R. B. Reyes
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W3-2021, 33–38, https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-33-2022, https://doi.org/10.5194/isprs-archives-XLVI-4-W3-2021-33-2022, 2022
M. Conopio, A. B. Baloloy, J. Medina, and A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 103–108, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-103-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-103-2021, 2021
J. E. Escoto, A. C. Blanco, R. J. Argamosa, and J. M. Medina
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 161–168, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-161-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-161-2021, 2021
N. B. Gatdula, B. J. D. Jiao, J. A. Laurente, A. C. Blanco, J. M. Medina, D. Fargas, and G. A. Narciso
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 169–176, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-169-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-169-2021, 2021
M. L. R. Gonzaga, M. T. S. Wong, A. C. Blanco, and J. A. Principe
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 177–184, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-177-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-177-2021, 2021
A. Manuel, A. C. Blanco, O. Cabrera, and M. L. San Diego-McGlone
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 207–212, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-207-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-207-2021, 2021
G. A. M. Narciso, D. C. Fargas Jr., C. G. Candido, J. M. Medina, M. L. P. Tinio, and A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 227–234, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-227-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-227-2021, 2021
M. P. Neri, A. B. Baloloy, and A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 235–242, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-235-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-235-2021, 2021
R. A. B. Rivera, E. N. B. Idago, A. C. Blanco, and K. A. P. Vergara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 249–256, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-249-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-249-2021, 2021
K. V. Ticman, S. G. Salmo III, K. E. Cabello, M. Q. Germentil, D. M. Burgos, and A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 295–301, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-295-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-295-2021, 2021
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W6-2021, 303–311, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-303-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-303-2021, 2021
A. Tamondong, T. Nakamura, T. E. A. Quiros, and K. Nadaoka
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 109–116, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-109-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-109-2021, 2021
K. P. Martinez, D. F. M. Burgos, A. C. Blanco, and S. G. Salmo III
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