研究目的
Providing information on the relevance and challenges of remote sensing approaches to the evaluation of Land Surface Temperature (LST) in a typical developing country, with case studies in Nigeria.
研究成果
Remote sensing is useful for monitoring LST and urban growth effects, but improvements are needed in data accessibility and technology deployment in developing countries. Recommendations include policy enhancements for geospatial technology use.
研究不足
Challenges include huge image data gaps, cloud cover, coarse spatial and temporal resolution, limited night-time data, high cost of some data (e.g., ASTER), and issues with sensor characteristics affecting accuracy.
1:Experimental Design and Method Selection:
The study uses remote sensing technology, specifically mono-window algorithm for LST retrieval from Landsat imageries and MODIS data processing. It involves multi-temporal analysis of satellite data and in situ measurements.
2:Sample Selection and Data Sources:
Data include Landsat-5 TM (1991), Landsat-7 ETM+ (2002), Landsat-8 OLI/TIRS (2015) for Ile-Ife, and Landsat data for 1986, 1996, 2006, 2014 for Eti-Osa, along with MODIS data. In situ data from sling psychrometer for Ile-Ife.
3:List of Experimental Equipment and Materials:
Satellite sensors (Landsat series, MODIS), in situ devices (sling psychrometer), software for image processing (not specified).
4:Experimental Procedures and Operational Workflow:
Conversion of digital numbers to radiance, reflectance, brightness temperature, estimation of land surface emissivity using NDVI, and calculation of LST. Comparison of MODIS and Landsat efficiencies.
5:Data Analysis Methods:
Statistical analysis of LST variations, spatial and temporal changes, and comparison of resolutions.
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