Multitemporal land use classification using Landsat images in the Quinindé River basin
Original Article
DOI:
https://doi.org/10.33936/riemat.v9i2.6793Keywords:
multi-temporal classification; land use; land cover; runoff; sediments.Abstract
This mixed research study aimed to carry out a multi-temporal Landsat image classification of land cover/use in the Quinindé River Basin, regarding the importance of having updated data on the use of land in a given area for water resource management. Hence, this descriptive research study was conducted from January to November 2022. Some Landsat satellite images from 1998, 2015 and 2019 were used; the minimum distance method was used, as well as the ISODATA method using QGIS software, which involved an analysis through supervised and unsupervised classification. The findings reveal 15.66% cloud coverage; therefore, the year 2015 has the highest percentage covered by clouds. Pixels “without information” (black legend) have an average of 4.29%; the body of water has 0.15% and agricultural land (cultivated land) has an average of 25.78%; the coverage of conservation and protection (less disturbed humid forest) has an average of 21.24%; the coverage of conservation and production (moderately disturbed herbaceous vegetation) has an average of 32.65%; and the populated area has an average of 0.23%. In conclusion, human activities affect uses of soil in this basin, and they may cause damage such as an increase in soil erosion due to surface runoff, transporting this way sediment entrainment. Developing comprehensive water resources planning activities for this basin is recommended.
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