Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning
نویسندگان
چکیده
Identifying suitable watersheds is a prerequisite to operationalizing planning interventions for agricultural development. With the help of geospatial tools, this paper identified across Nigeria using biophysical parameters aid planning. Our study included various critical thematic layers such as precipitation, temperature, slope, land-use/land-cover (LULC), soil texture, depth, and length growing period, prepared modeled on Google Earth Engine (GEE) platform. Using expert knowledge, scores were assigned these layers, priority map was based combined weighted average score. We also validated watersheds. For this, area classified into three zones ranging from ‘high’ ‘low’. Of 277 identified, 57 fell in high category, implying that they are highly favorable interventions. This would be useful regional-scale water resource landscape
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ژورنال
عنوان ژورنال: ISPRS international journal of geo-information
سال: 2022
ISSN: ['2220-9964']
DOI: https://doi.org/10.3390/ijgi11080416