Evaluation of land use/land cover classification accuracy using multi-resolution remote sensing images
نویسندگان
چکیده
منابع مشابه
Land Use/Land Cover Classification Based on Multi-resolution Remote Sensing Data
The paper summarized pre-existing research works relating to land use/land cover classification based on multi-resolution remote sensing data. According to the features of regions, we carried out of the land use/land cover classification of level III classes in 148 group of Xinjiang agricultural reclamation eighth division. The land use/land cover classification system divided land in study are...
متن کاملLand cover land use mapping and change detection analysis using geographic information system and remote sensing
Land cover/land use categories are relevant components in land management. Understanding how land cover/land use change over time is necessary to assess the consequences of humans and natural stressors on the earth’s environment and resources. The aim of the study was to map and monitor the spatial and temporal change in land cover/land use for the periods of 1977, 1991 and 2016 and to predict ...
متن کاملEvaluation of Multiple Classifier Combination Techniques for Land Cover Classification Using Multisource Remote Sensing Data
Use of multisource remote sensing data, particularly Synthetic Aperture Radar (SAR) and optical images, can improve performance of land cover classification since many types of information are involved in the classification process. Recently, the multiple classification systems (MCS) or ensemble classifiers has been developed and increasingly used for classifying remote sensing data. It is cons...
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...
متن کاملThe 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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ژورنال
عنوان ژورنال: Forum geografic
سال: 2016
ISSN: 1583-1523,2067-4635
DOI: 10.5775/fg.2016.137.i