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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:/...

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 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...

This paper demonstrates the importance of considering scale issues when estimating the accuracy of land use/land cover maps, particularly when satellite images having different spatial resolutions (i.e. pixel sizes) are used in combination to generate the land use/land cover maps. The results are important for creators and users of these types of...