ABOVEGROUND BIOMASS AND CARBON STOCK ESTIMATION OF FALCATA THROUGH THE SYNERGISTIC USE OF SENTINEL-1 AND SENTINEL-2 IMAGES

Gesta, J. L. E.; Fernandez, J. M.; Lina, R. S.; Santillan, J. R.

doi:https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-117-2023

Articles | Volume XLVIII-4/W6-2022

Article
Metrics
Related articles

Articles | Volume XLVIII-4/W6-2022

https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-117-2023

Articles | Volume XLVIII-4/W6-2022

Article
Metrics
Related articles

06 Feb 2023

| 06 Feb 2023

ABOVEGROUND BIOMASS AND CARBON STOCK ESTIMATION OF FALCATA THROUGH THE SYNERGISTIC USE OF SENTINEL-1 AND SENTINEL-2 IMAGES

J. L. E. Gesta, J. M. Fernandez, R. S. Lina, and J. R. Santillan

J. L. E. Gesta

Department of Geodetic Engineering, College of Engineering and Geosciences, Caraga State University, Ampayon, Butuan City, 8600, Philippines

Caraga Center for Geo-Informatics, Caraga State University, Ampayon, Butuan City, 8600, Philippines

J. M. Fernandez

Department of Geodetic Engineering, College of Engineering and Geosciences, Caraga State University, Ampayon, Butuan City, 8600, Philippines

R. S. Lina

Department of Geodetic Engineering, College of Engineering and Geosciences, Caraga State University, Ampayon, Butuan City, 8600, Philippines

J. R. Santillan

https://orcid.org/0000-0002-5895-8647

Department of Geodetic Engineering, College of Engineering and Geosciences, Caraga State University, Ampayon, Butuan City, 8600, Philippines

Caraga Center for Geo-Informatics, Caraga State University, Ampayon, Butuan City, 8600, Philippines

Related authors

Show only first author papers Show all papers

EVALUATION OF MACHINE LEARNING CLASSIFIERS FOR MAPPING FALCATA PLANTATIONS IN SENTINEL-2 IMAGE

J. R. Santillan and J. L. E. Gesta

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 103–108, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-103-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-103-2021, 2021

Visualizing the Philippines’ SDG 11.3.1 Status and Progress Using Open-Source Geospatial Software and Earth Observation Datasets

Jojene R. Santillan and Christian Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-5-2024, 173–180, https://doi.org/10.5194/isprs-annals-X-5-2024-173-2024,https://doi.org/10.5194/isprs-annals-X-5-2024-173-2024, 2024

USING GHSL TO ANALYZE URBANIZATION AND LAND-USE EFFICIENCY IN THE PHILIPPINES FROM 1975–2020: TRENDS AND IMPLICATIONS FOR SUSTAINABLE DEVELOPMENT

J. R. Santillan and C. Heipke

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 413–422, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-413-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-413-2023, 2023

USING MACHINE LEARNING CLASSIFIERS AND REGRESSION MODELS FOR ESTIMATING THE STAND AGES OF FALCATA PLANTATIONS FROM SENTINEL DATA

J. C. L. Escasio, J. R. Santillan, and M. Makinano-Santillan

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 465–472, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-465-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-465-2023, 2023

VERTICAL ACCURACY EVALUATION OF THE FOREST AND BUILDINGS REMOVED COPERNICUS DEM (FABDEM) OVER THE PHILIPPINES

J. R. Santillan

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W6-2022, 311–318, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-311-2023,https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-311-2023, 2023

MAPPING LAND COVER CHANGE AND MODELLING ITS IMPACTS ON THE INUNDATION RESPONSES OF THE AGUSAN MARSH, MINDANAO, PHILIPPINES

M. M. Makinano-Santillan and J. R. Santillan

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 595–602, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-595-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-595-2021, 2021

EVALUATION OF MACHINE LEARNING CLASSIFIERS FOR MAPPING FALCATA PLANTATIONS IN SENTINEL-2 IMAGE

J. R. Santillan and J. L. E. Gesta

NEAR-REAL TIME HAZARD MONITORING AND INFORMATION DISSEMINATION THROUGH INTEGRATION OF REMOTE SENSING, GIS, NUMERICAL MODELLING, WEB APPLICATIONS AND SOCIAL MEDIA

M. Makinano-Santillan, J. Serviano, C. K. Rubillos, A. Amora, J. R. Santillan, E. M. Morales, J. T. Marqueso, and A. L. Gingo

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W1, 25–32, https://doi.org/10.5194/isprs-annals-IV-3-W1-25-2019,https://doi.org/10.5194/isprs-annals-IV-3-W1-25-2019, 2019

ANALYZING THE IMPACTS OF LAND COVER CHANGE TO THE HYDROLOGIC AND HYDRAULIC BEHAVIOURS OF THE PHILIPPINES' THIRD LARGEST RIVER BASIN

J. R. Santillan, A. M. Amora, M. Makinano-Santillan, A. L. Gingo, and J. T. Marqueso

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W1, 41–48, https://doi.org/10.5194/isprs-annals-IV-3-W1-41-2019,https://doi.org/10.5194/isprs-annals-IV-3-W1-41-2019, 2019

ANALYSIS OF IN-SITU SPECTRAL REFLECTANCE OF SAGO AND OTHER PALMS: IMPLICATIONS FOR THEIR DETECTION IN OPTICAL SATELLITE IMAGES

Jojene Rendon Santillan and Meriam Makinano-Santillan

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 185–191, https://doi.org/10.5194/isprs-annals-IV-3-185-2018,https://doi.org/10.5194/isprs-annals-IV-3-185-2018, 2018

OPEN SOURCE WEB-BASED SOLUTIONS FOR DISSEMINATING AND ANALYZING FLOOD HAZARD INFORMATION AT THE COMMUNITY LEVEL

M. M.-M.-Santillan, J. R. Santillan, and E. M. O. Morales

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 91–97, https://doi.org/10.5194/isprs-archives-XLII-2-W7-91-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W7-91-2017, 2017

INFLUENCE OF RIVER BED ELEVATION SURVEY CONFIGURATIONS AND INTERPOLATION METHODS ON THE ACCURACY OF LIDAR DTM-BASED RIVER FLOW SIMULATIONS

J. R. Santillan, J. L. Serviano, M. Makinano-Santillan, and J. T. Marqueso

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W1, 225–235, https://doi.org/10.5194/isprs-archives-XLII-4-W1-225-2016,https://doi.org/10.5194/isprs-archives-XLII-4-W1-225-2016, 2016

BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING

J. R. Santillan, J. T. Marqueso, M. Makinano-Santillan, and J. L. Serviano

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W1, 315–323, https://doi.org/10.5194/isprs-archives-XLII-4-W1-315-2016,https://doi.org/10.5194/isprs-archives-XLII-4-W1-315-2016, 2016

ASSESSING THE IMPACTS OF FLOODING CAUSED BY EXTREME RAINFALL EVENTS THROUGH A COMBINED GEOSPATIAL AND NUMERICAL MODELING APPROACH

J. R. Santillan, A. M. Amora, M. Makinano-Santillan, J. T. Marqueso, L. C. Cutamora, J. L. Serviano, and R. M. Makinano

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1271–1278, https://doi.org/10.5194/isprs-archives-XLI-B8-1271-2016,https://doi.org/10.5194/isprs-archives-XLI-B8-1271-2016, 2016

VERTICAL ACCURACY ASSESSMENT OF 30-M RESOLUTION ALOS, ASTER, AND SRTM GLOBAL DEMS OVER NORTHEASTERN MINDANAO, PHILIPPINES

J. R. Santillan and M. Makinano-Santillan

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 149–156, https://doi.org/10.5194/isprs-archives-XLI-B4-149-2016,https://doi.org/10.5194/isprs-archives-XLI-B4-149-2016, 2016

ABOVEGROUND BIOMASS AND CARBON STOCK ESTIMATION OF FALCATA THROUGH THE SYNERGISTIC USE OF SENTINEL-1 AND SENTINEL-2 IMAGES

Related authors

Useful Links

Useful External Links

Our Contact