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IGES Making Our Cities Climate-Sensitive e-Learning Video Series comprises two videos: 1) Overcoming floods in the Philippines: A story of climate change adaptation and mitigation , 2) Participatory watershed land-use management approach: Interfacing science, policy and participation for effective decision making These two educational videos...

Soil moisture (SM) plays a key role in many environmental processes and has a high spatial and temporal variability. Collecting sample SM data through field surveys (e.g. for validation of remote sensing-derived products) can be very expensive and time consuming if a study area is large, and producing accurate SM maps from the sample point data is...

While synergies among climate change adaptation and mitigation (CCA&M) policies clearly exist, little common understanding has been established on how to introduce CCA&M policies in an integrated manner. A holistic approach to land-use planning and management at the local level can help meet this challenge. To test this idea, with support from the...

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.

Accurate mapping of glaciers is important for management of water resources, studying glacier mass-balance, and monitoring glacier health. However, many glaciers are partially covered by debris of varying thicknesses, and these debris-covered glacier areas are difficult to clearly distinguish from the adjacent valley rock using optical remote...

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)....

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.

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:/...