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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.

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.

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)....

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:/...

本事業は、北九州市－ダバオ市の都市間連携事業の下、ダバオ市側の要請に基づき、ダバオ市気候変動行動計画（LCCAP）の作成支援を行うと共に、本行動計画に具体的な緩和策を位置づけ、その緩和策の実施のための財源の一つとして二国間クレジット制度（JCM）設備補助事業の活用について検討するものである。具体的には下記のような支援を行った。 1) ダバオ市が進める LCCAP の策定支援（ GHG インベントリの作成支援、 緩和策の検討支援、 適応策の検討支援） 2) ダバオ市内におけるエネルギー分野の低炭素化事業の実施可能性（街灯のLED化） 3) ダバオ市が進める廃棄物発電事業の JCM 設備補助事業の適用可能性の検討

This project has been designed to provide support for the formulation of the local climate change action pan (LCCAP) based on a request from Davao City under city-to-city cooperation between Kitakyushu and Davao. Concrete mitigation measures are positioned in this action plan and the use of the financing programme for Joint Crediting Mechanism (JCM...

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...

CO2 emissions from expected land use change were calculated using GIS techniques. ~500,000 tons CO2 emissions expected by 2025 under the BAU land use plan.