- Article
(1548 KB) - Metadata XML
- November 08, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B3-2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-109-2021
© Author(s) 2021. 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-archives-XLIII-B3-2021-109-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
28 Jun 2021
| 28 Jun 2021
TIME SERIES ANALYSIS FOR MONITORING SEAGRASS HABITAT AND ENVIRONMENT IN BUSUANGA, PHILIPPINES USING GOOGLE EARTH ENGINE
A. Tamondong
Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan
Department of Geodetic Engineering, University of the Philippines, Quezon City, Philippines
T. Nakamura
Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan
T. E. A. Quiros
Field Science Center for Northern Hemisphere, Hokkaido University, Akkeshi, Hokkaido, Japan
K. Nadaoka
Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan
Related authors
G. A. M. Narciso, A. M. Tamondong, and A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 387–393, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-387-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-387-2024, 2024
G. A. M. Narciso, A. M. Tamondong, A. C. Blanco, T. Nakamura, and K. Nadaoka
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 395–401, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-395-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-395-2024, 2024
L. I. J. Nioko, K. M. C. Tablang, A. M. Tamondong, M. R. C. O. Ang, and D. M. Bautista
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 403–410, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-403-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-403-2024, 2024
R. A. B. Torres, R. V. Ramos, B. A. B. Recto, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 437–444, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-437-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-437-2024, 2024
L. A. Aporto, M. Latunio, R. V. Ramos, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 9–16, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-9-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-9-2024, 2024
P. L. Borrega, Y. A. Felisilda, C. J. Sarmiento, and A. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 69–75, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-69-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-69-2024, 2024
D. B. Cabuyadao, C. P. Paladin, A. M. Tamondong, and J. M. Medina
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 85–92, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-85-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-85-2024, 2024
J. B. L. C. Dumalag, A. C. Blanco, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 195–202, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-195-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-195-2024, 2024
B. A. B. Recto, R. A. B. Torres, R. V. Ramos, A. M. Tamondong, M. G. Cayetano, and B. J. D. Jiao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 639–645, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-639-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-639-2023, 2023
R. A. B. Torres, R. V. Ramos, B. A. B. Recto, A. M. Tamondong, B. J. D. Jiao, and M. G. Cayetano
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 729–736, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-729-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-729-2023, 2023
A. Tamondong, T. Nakamura, Y. Kobayashi, M. Garcia, and K. Nadaoka
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 93–99, https://doi.org/10.5194/isprs-annals-V-5-2020-93-2020, https://doi.org/10.5194/isprs-annals-V-5-2020-93-2020, 2020
A. Manuel, A. C. Blanco, A. M. Tamondong, R. Jalbuena, O. Cabrera, and P. Gege
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W11, 67–72, https://doi.org/10.5194/isprs-archives-XLII-3-W11-67-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W11-67-2020, 2020
C. M. Bacsa, R. M. Martorillas, L. P. Balicanta, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 31–38, https://doi.org/10.5194/isprs-archives-XLII-4-W19-31-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-31-2019, 2019
M. Conopio, R. K. Japor, A. C. Blanco, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 125–132, https://doi.org/10.5194/isprs-archives-XLII-4-W19-125-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-125-2019, 2019
M. K. M. R. Guerrero, J. A. M. Vivar, R. V. Ramos, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 233–240, https://doi.org/10.5194/isprs-archives-XLII-4-W19-233-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-233-2019, 2019
J. J. Lasquites, A. C. Blanco, and A. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 289–295, https://doi.org/10.5194/isprs-archives-XLII-4-W19-289-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-289-2019, 2019
F. A. M. Tandoc, C. J. S. Sarmiento, E. C. Paringit, A. M. Tamondong, F. J. O. Pamittan, R. A. G. Faelga, A. A. C. Maralit, R. A. Lopez, C. M. M. Arellano, and C. Z. Vidad
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 421–423, https://doi.org/10.5194/isprs-archives-XLII-4-W19-421-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-421-2019, 2019
J. B. Babaan, J. P. Ballori, A. M. Tamondong, R. V. Ramos, and P. M. Ostrea
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W9, 89–103, https://doi.org/10.5194/isprs-archives-XLII-4-W9-89-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W9-89-2018, 2018
R. K. D. Aranas, B. J. D. Jiao, B. J. P. Magallon, M. K. F. Ramos, J. A. Amado, A. M. Tamondong, and M. E. A. Tupas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 909–911, https://doi.org/10.5194/isprs-archives-XLI-B7-909-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-909-2016, 2016
A. Tamondong, C. Cruz, T. Ticman, R. Peralta, G. A. Go, M. Vergara, M. S. Estabillo, I. E. Cadalzo, R. Jalbuena, and A. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 149–153, https://doi.org/10.5194/isprs-archives-XLI-B6-149-2016, https://doi.org/10.5194/isprs-archives-XLI-B6-149-2016, 2016
G. A. M. Narciso, A. M. Tamondong, and A. C. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 387–393, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-387-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-387-2024, 2024
G. A. M. Narciso, A. M. Tamondong, A. C. Blanco, T. Nakamura, and K. Nadaoka
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 395–401, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-395-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-395-2024, 2024
L. I. J. Nioko, K. M. C. Tablang, A. M. Tamondong, M. R. C. O. Ang, and D. M. Bautista
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 403–410, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-403-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-403-2024, 2024
R. A. B. Torres, R. V. Ramos, B. A. B. Recto, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 437–444, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-437-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-437-2024, 2024
L. A. Aporto, M. Latunio, R. V. Ramos, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 9–16, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-9-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-9-2024, 2024
P. L. Borrega, Y. A. Felisilda, C. J. Sarmiento, and A. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 69–75, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-69-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-69-2024, 2024
D. B. Cabuyadao, C. P. Paladin, A. M. Tamondong, and J. M. Medina
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 85–92, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-85-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-85-2024, 2024
J. B. L. C. Dumalag, A. C. Blanco, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W8-2023, 195–202, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-195-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W8-2023-195-2024, 2024
C. D. C. Zablan, A. C. Blanco, Y. H. Primavera-Tirol, and K. Nadaoka
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1965–1971, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1965-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1965-2023, 2023
Masaya Yoshikai, Takashi Nakamura, Eugene C. Herrera, Rempei Suwa, Rene Rollon, Raghab Ray, Keita Furukawa, and Kazuo Nadaoka
Geosci. Model Dev., 16, 5847–5863, https://doi.org/10.5194/gmd-16-5847-2023, https://doi.org/10.5194/gmd-16-5847-2023, 2023
Short summary
Short summary
Due to complex root system structures, representing the impacts of Rhizophora mangroves on flow in hydrodynamic models has been challenging. This study presents a new drag and turbulence model that leverages an empirical model for root systems. The model can be applied without rigorous measurements of root structures and showed high performance in flow simulations; this may provide a better understanding of hydrodynamics and related transport processes in Rhizophora mangrove forests.
Raghab Ray, Rempei Suwa, Toshihiro Miyajima, Jeffrey Munar, Masaya Yoshikai, Maria Lourdes San Diego-McGlone, and Kazuo Nadaoka
Biogeosciences, 20, 911–928, https://doi.org/10.5194/bg-20-911-2023, https://doi.org/10.5194/bg-20-911-2023, 2023
Short summary
Short summary
Mangroves are blue carbon ecosystems known to store large amounts of organic carbon in the sediments. This study is a first attempt to apply a chronosequence (or space-for-time substitution) approach to evaluate the distribution and accumulation rate of carbon in a 30-year-old (maximum age) restored mangrove forest. Using this approach, the contribution of restored or planted mangroves to sedimentary organic carbon presents an increasing pattern with mangrove age.
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
B. A. B. Recto, R. A. B. Torres, R. V. Ramos, A. M. Tamondong, M. G. Cayetano, and B. J. D. Jiao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 639–645, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-639-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-639-2023, 2023
R. A. B. Torres, R. V. Ramos, B. A. B. Recto, A. M. Tamondong, B. J. D. Jiao, and M. G. Cayetano
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 729–736, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-729-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-729-2023, 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.
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
Short summary
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.
A. Tamondong, T. Nakamura, Y. Kobayashi, M. Garcia, and K. Nadaoka
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 93–99, https://doi.org/10.5194/isprs-annals-V-5-2020-93-2020, https://doi.org/10.5194/isprs-annals-V-5-2020-93-2020, 2020
A. C. Blanco, A. Manuel, R. Jalbuena, K. Ticman, J. M. Medina, E. Gubatanga, A. Santos, R. Sta. Ana, E. Herrera, and K. Nadaoka
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W11, 17–21, https://doi.org/10.5194/isprs-archives-XLII-3-W11-17-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W11-17-2020, 2020
A. Manuel, A. C. Blanco, A. M. Tamondong, R. Jalbuena, O. Cabrera, and P. Gege
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W11, 67–72, https://doi.org/10.5194/isprs-archives-XLII-3-W11-67-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W11-67-2020, 2020
C. M. Bacsa, R. M. Martorillas, L. P. Balicanta, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 31–38, https://doi.org/10.5194/isprs-archives-XLII-4-W19-31-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-31-2019, 2019
M. Conopio, R. K. Japor, A. C. Blanco, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 125–132, https://doi.org/10.5194/isprs-archives-XLII-4-W19-125-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-125-2019, 2019
M. K. M. R. Guerrero, J. A. M. Vivar, R. V. Ramos, and A. M. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 233–240, https://doi.org/10.5194/isprs-archives-XLII-4-W19-233-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-233-2019, 2019
J. J. Lasquites, A. C. Blanco, and A. Tamondong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 289–295, https://doi.org/10.5194/isprs-archives-XLII-4-W19-289-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-289-2019, 2019
F. A. M. Tandoc, C. J. S. Sarmiento, E. C. Paringit, A. M. Tamondong, F. J. O. Pamittan, R. A. G. Faelga, A. A. C. Maralit, R. A. Lopez, C. M. M. Arellano, and C. Z. Vidad
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 421–423, https://doi.org/10.5194/isprs-archives-XLII-4-W19-421-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-421-2019, 2019
J. B. Babaan, J. P. Ballori, A. M. Tamondong, R. V. Ramos, and P. M. Ostrea
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W9, 89–103, https://doi.org/10.5194/isprs-archives-XLII-4-W9-89-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W9-89-2018, 2018
R. K. D. Aranas, B. J. D. Jiao, B. J. P. Magallon, M. K. F. Ramos, J. A. Amado, A. M. Tamondong, and M. E. A. Tupas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 909–911, https://doi.org/10.5194/isprs-archives-XLI-B7-909-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-909-2016, 2016
A. Tamondong, C. Cruz, T. Ticman, R. Peralta, G. A. Go, M. Vergara, M. S. Estabillo, I. E. Cadalzo, R. Jalbuena, and A. Blanco
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 149–153, https://doi.org/10.5194/isprs-archives-XLI-B6-149-2016, https://doi.org/10.5194/isprs-archives-XLI-B6-149-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org