Mapping impervious surface area in the Brazilian Amazon using Landsat Imagery
Guiying Li1, Dengsheng Lu, Emilio Moran
1Anthropological Center for Training and Research on Global Environmental Change (ACT), Indiana University, Student Building 331, 701 E. Kirkwood Ave., Bloomington, IN 47405, USA.
Giscience & Remote Sensing
|October 24, 2013
Summary
Mapping impervious surface area (ISA) in the Brazilian Amazon is challenging. A fraction-based method using Landsat TM images improved ISA estimation, especially in complex urban-rural landscapes.
Area of Science:
- Environmental Science
- Remote Sensing
- Urban Planning
Background:
- Impervious surface area (ISA) is crucial for understanding environmental change and socioeconomic dynamics.
- Mapping ISA with remote sensing faces challenges due to material diversity and data resolution limits.
Purpose of the Study:
- To evaluate ISA mapping accuracy using Landsat TM images in the Brazilian Amazon.
- To compare fractional-based and per-pixel methods for ISA estimation.
Main Methods:
- Utilized Landsat Thematic Mapper (TM) imagery for ISA mapping.
- Employed fractional-based and per-pixel classification methods.
- Validated results using high-resolution QuickBird imagery and 2010 Brazilian census data.
Main Results:
- The fraction-based method demonstrated improved ISA estimation, particularly in urban-rural transitional zones and areas with limited urban extent.
- Significant errors in ISA mapping were observed in census sectors with ISA proportions between 0.2 and 0.4.
- High spatial resolution data calibration proved valuable for enhancing Landsat-based ISA estimates.
Conclusions:
- Fractional-based approaches offer enhanced accuracy for impervious surface area mapping.
- Calibration with high-resolution data is essential for refining Landsat-derived ISA estimates in complex landscapes.
- Understanding ISA distribution is vital for environmental monitoring and urban planning in the Amazon region.
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