ジョンソン ブライアン

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...

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.

This study provides a computationally-simple method to annually update existing national forest maps and model future forest change. It involves integrating national forest maps and global tree cover maps to monitor annual forest change, and then modeling future change by linear extrapolation of the historical trend.

This data set (http://archive.ics.uci.edu/ml/datasets/Forest+type+mapping) contains training and testing data from a remote sensing study which mapped different forest types based on their spectral characteristics at visible-to-near infrared wavelengths, using ASTER satellite imagery. The data set be used to evaluate the performance of different...

A remote sensing-based method was developed for mapping debris-covered glaciers. It is significant because it is difficult to get an accurate estimate of glacier extent in areas with rocky debris, but accurate glacier maps are important for monitoring impacts of climate change and for water resource management in arid regions.