Issue link: https://read.uberflip.com/i/1354060
MXR-CS-richi 12/20 RiChi analysts leverage Maxar WorldView-3 satellite imagery, which delivers the high resolution required for their proprietary object-based image analysis (OBIA) algorithm. Its 8-band spectral resolution and very high spatial resolution enables OBIA to distinguish vegetation and non-vegetation then classify the vegetation as grass, natural forest, or areca-palm (betel nut tree) using advanced machine learning. The classification results are combined with a cadastral map to calculate the area of each parcel and verify if the ratio of natural forest is over 70-percent. This allows the government to improve their records and take action more quickly, generating greater program participation. info@maxar.com maxar.com Object-based image analysis High accuracy. High efficiency. RiChi improved their OBIA accuracy to 98.72-percent, drastically reducing error caused by artificial interpretation using low quality data. They also increased efficiency,--processing 3,000 hectares in just two months compared to the average field survey time of six months— helping the government of Taiwan save money while enhancing capabilities. We want to celebrate this success because it demonstrates the power of collaboration and advanced geospatial technology. Companies like RiChi are helping transform how governments and commercial organizations understand and respond to environmental changes. "This project impacts our environment and our communities, it was crucial that we find the right satellite imagery provider to put our geospatial technology to work. Maxar had the coverage, currency, and high resolution we needed to improve our algorithm accuracy, which proudly stands at 98.72-percent and deliver valuable information to our customers". — Sinaly Lien Technical Manager, RiChi Technologies