Zobrazeno 1 - 10
of 21
pro vyhledávání: '"A. B. Baloloy"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 391-401 (2023)
Mangroves have been protecting coastlines, nourishing wildlife, and capturing carbon for climate regulation. The decline of mangroves calls for action to rapidly and accurately monitor them. Remote Sensing makes it possible to remotely monitor mangro
Externí odkaz:
https://doaj.org/article/2209f0dc3acb45c5b7fdb4519bb6dc9f
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W6-2022, Pp 403-413 (2023)
Mangroves are important vegetation that provides coastal protection and basic life necessities to humans and different marine organisms. Studies have observed that mangrove deforestation is occurring in the Philippines. Thus, monitoring of mangrove e
Externí odkaz:
https://doaj.org/article/5a937de3dd74446b8a11746c9eeaca66
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W6-2021, Pp 103-108 (2021)
Mangroves are considered one of the most undervalued ecosystems in the world. It provides shelter to a wide range of species and protection from natural hazards to coastal communities. The Philippines, being a country with long coastlines, benefits g
Externí odkaz:
https://doaj.org/article/3a3cb4be57174bf0a6bc22fd5b7f4ae3
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W6-2021, Pp 235-242 (2021)
The Mangrove Vegetation Index (MVI) was developed to map mangroves extent from remotely-sensed imageries accurately and quickly. MVI measures the probability of a pixel to be a ‘mangrove’ by extracting the greenness and moisture information from
Externí odkaz:
https://doaj.org/article/817496e3a75f44e5b595e7230ea44d7f
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W19, Pp 433-440 (2019)
This study produced spatiotemporal hot and cold spot occurrence maps for Davao City for the period 1994-2019 using land surface temperature (LST) images. Urban heat is theorized to have been affected by some, if not all, of the following impact facto
Externí odkaz:
https://doaj.org/article/08523760729c4ab0b7d2f574595aa368
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W16, Pp 85-92 (2019)
Urbanization has played an important part in the development of the society, yet it is accompanied by environmental concerns including the increase of local temperature compared to its immediate surroundings. The latter is known as Urban Heat Islands
Externí odkaz:
https://doaj.org/article/f8753214c6c04d9da08fd154c98258b6
Autor:
R. J. L. Argamosa, A. C. Blanco, A. B. Baloloy, C. G. Candido, J. B. L. C. Dumalag, L. L. C. Dimapilis, E. C. Paringit
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-3, Pp 13-20 (2018)
Many studies have been conducted in the estimation of forest above ground biomass (AGB) using features from synthetic aperture radar (SAR). Specifically, L-band ALOS/PALSAR (wavelength ~23 cm) data is often used. However, few studies have been made
Externí odkaz:
https://doaj.org/article/9816466c8c024d20839d666ac50cd892
Autor:
A. B. Baloloy, A. C. Blanco, C. G. Candido, R. J. L. Argamosa, J. B. L. C. Dumalag, L. L. C. Dimapilis, E. C. Paringit
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-3, Pp 29-36 (2018)
Aboveground biomass estimation (AGB) is essential in determining the environmental and economic values of mangrove forests. Biomass prediction models can be developed through integration of remote sensing, field data and statistical models. This stud
Externí odkaz:
https://doaj.org/article/c8fc3ce88e364f0eace7e8f6615d47b9
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4/W1, Pp 173-179 (2016)
The Philippines has a booming sugarcane industry contributing about PHP 70 billion annually to the local economy through raw sugar, molasses and bioethanol production (SRA, 2012). Sugarcane planters adapt different farm practices in cultivating sugar
Externí odkaz:
https://doaj.org/article/7d08b30677c44b0ea2e2f232337922e7
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 166:95-117
Advancement in Remote Sensing allows rapid mangrove mapping without the need for data-intensive methodologies, complex classifiers, and skill-dependent classification techniques. This study proposes a new index, the Mangrove Vegetation Index (MVI), t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bff849c3abf5032262a717b6ebad979
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100881042
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100881042