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Mapping Deforestation and Forest Degradation in Southern Ghana Using Different Time-Series Algorithms

Abstract:

Proper mapping of deforestation and forest degradation is necessary to inform environmental decision making, as well as reporting to international programs like REDD+ that work to combat global climate change. As part of a SERVIR led global comparison project aimed at improving the understanding of deforestation and degradation methodologies across different tropical countries, three change detection algorithms were explored using Landsat time series data from 2000 to 2020 on Google Earth Engine. These include LandTrendr, CCDC-SMA, and a random forest-based method called Multivariate Time-series Disturbance Detection (MTDD). SERVIR is a joint NASA and USAID initiative that partners with leading geospatial institutions in Africa, Asia and Latin America to strengthen countries' capacities to use Earth observations for sustainable resource management. Global Forest Watch data indicates the …

Año de publicación:

2022

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Sensores remotos
    • Silvicultura
    • Análisis de datos

    Áreas temáticas:

    • Agricultura y tecnologías afines
    • Huertos, frutas, silvicultura
    • Cultivos de huerta (horticultura)

    Contribuidores:

    Anderson Flores FloresAnderson Flores Flores