Results 1 - 8 of 8 (Sorted by date)
Peer-reviewed Article
In Applied Geography
Author:
Kotaro
IIZUKA
We use crowdsourced GIS data from OpenStreetMap to help automate the mapping of land cover in Landsat satellite imagery. The OpenStreetMap data had limited area coverage, but was useful for building a model which could classify land cover in the other areas.
Data or Tool
Author:
MAGCALE-MACANDOG Damasa B.
Milben
BRAGAIS
MACANDOG Paula Beatrice M.
We analyzed the change in vegetated and urban (impervious) area in the Silang-Santa Rosa sub-watershed of the Philippines to assess the implications related to flood risk. Our main findings were: -The impervious area of sub-watershed increased by 54% (from 3,239 ha. to 4,988 ha.). -The vegetated area decreased by 21% (from 8,509 ha. to 6,760 ha)....
Peer-reviewed Article
In ISPRS International Journal of Geo-Information
Author:
Milben
BRAGAIS
MAGCALE-MACANDOG Damasa
MACANDOG Paula Beatrice
We developed a method for mapping residential areas using freely available satellite imagery. The resultant residential area map can be used for risk assessment (e.g. to estimate the population living in a flood-prone area). Our method can be applied for flood risk assessment in other watersheds in the future.
Data or Tool
Author:
Kotaro
IIZUKA
This dataset can be used by researchers to test different land use/land cover mapping methods using crowdsourced geographic data and Landsat satellite imagery. The study area is the Laguna de Bay area of the Philippines, and the satellite data is from 2014-2015. This dataset will also be available on the "UCI Machine Learning Repository" ( https:/...
Presentation
The 18th Symposium on Environmental Remote Sensing (in Chiba City, Japan)
Author:
Kotaro
IIZUKA
MAGCALE-MACANDOG Damasa B.
Milben
BRAGAIS
We developed a fast method for land cover mapping using satellite imagery and crowdsourced geographic data (land use polygon data). The method is less time- and labor-intensive than traditional land cover mapping methods because the crowdsourced data substitutes for training data collected the traditional way (through field survey or visual image...
Peer-reviewed Article
In ISPRS International Journal of Geo-Information
A new method was developed for mapping forest, agricultural, and urban land cover using remote sensing imagery. It is designed to better detect small land cover objects (e.g. small forest or agricultural patches) and monitor their change (e.g. fine-scale deforestation) using freely-available satellite imagery.
Peer-reviewed Article
In Carbon Management
For effective and practical implementation of border carbon adjustment, it is crucial to determine the carbon content of imports/exports. In this paper we discussed two criteria. One is direct carbon emissions, which accounts for direct emissions generated from production. The other is embodied emissions which accounts for the total emissions...