The Improvement of Land Cover Classification by Thermal Remote Sensing
نویسندگان
چکیده
منابع مشابه
The Improvement of Land Cover Classification by Thermal Remote Sensing
Land cover classification has been widely investigated in remote sensing for agricultural, ecological and hydrological applications. Landsat images with multispectral bands are commonly used to study the numerous classification methods in order to improve the classification accuracy. Thermal remote sensing provides valuable information to investigate the effectiveness of the thermal bands in ex...
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متن کاملResponse to Johnson B.A. Scale Issues Related to the Accuracy Assessment of Land Use/Land Cover Maps Produced Using Multi-Resolution Data: Comments on "The Improvement of Land Cover Classification by Thermal Remote Sensing". Remote Sens 2015, 7, 8368-8390
Following the suggestion made by Johnson (Johnson B.A., 2015), a polygonbased cross validation (CV) method is compared to the pixel-based CV method to classify different levels of land cover categories using a single-date Landsat 8 image and time series of Landsat TM images. Also, different variants of band combinations, with and without the thermal bands, were considered. The results demonstra...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2015
ISSN: 2072-4292
DOI: 10.3390/rs70708368