An experiment that involves using a Landsat satellite is given below;
Paddy lands detection through the use of Landsat-8 satellite images and object-based classification in cape town, South Africa.
Rice is known to be one of the most vital food staples in a lot of countries, especially South Africa . Due to the irrigated rice production that tend to differs from other kinds of agricultural fields, this study was said to have created a paddy field mapping model via the use of phenological aspects, a lot of satellite sensor data, and also the use of object-based approach.
This study uses the phonological features of rice plants and also the use of an annual data regarding surface temperature (LST) to make the paddy map.
The core remote sensing data is made up of the yearly LST that is obtained from MODIS and multi-temporal Landsat-8 satellite imagery.
Based on the study, the total accuracy and kappa coefficient for the pixel-based classification method is seen to be 92% and 0.89.
Hence, An experiment that involves using a Landsat satellite is Paddy lands detection through the use of Landsat-8 satellite images and object-based classification in cape town, South Africa.
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