منابع مشابه
Investigation of land use changes in Gorganrood catchment using Google Earth Engine platform
The purpose of this study is to investigate landuse changes in Gorganrood basin in 2001, 2010 and 2019. Using Landsat and Product-Modes satellite images, used maps were prepared using the classification method of random forest algorithm in Google Earth Engine. Satellite imagery was classified into eight classes including forest, cropland, shrubland, grassland, wetland, urban, barren, and water....
متن کاملInvestigating and Assessing Soil's Texture and Density in Different Land Uses Via Google Earth Engine System
Introduction: Awareness of soil quality in agricultural lands and natural resources is essential to achieve maximum production and environmental sustainability. Although soil quality is not directly assessed, soil quality indicators are widely used today, including the physical indicators which are of great importance in measuring the soil quality, as they directly influence the plant growth an...
متن کاملSensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models
With the rapid progress of China’s urbanization, research on the automatic detection of land-use patterns in Chinese cities is of substantial importance. Deep learning is an effective method to extract image features. To take advantage of the deep-learning method in detecting urban land-use patterns, we applied a transfer-learning-based remote-sensing image approach to extract and classify feat...
متن کاملUrban Land Use Information Retrieval Based on Scene Classification of Google Street View Images
Land use maps are very important references for the urban planning and management. However, it is difficult and time-consuming to get high-resolution urban land use maps. In this study, we propose a new method to derive land use information at building block level based on machine learning and geo-tagged street-level imagery – Google Street View images. Several commonly used generic image featu...
متن کاملExploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping
Google Earth (GE) releases free images in high spatial resolution that may provide some potential for regional land use/cover mapping, especially for those regions with high heterogeneous landscapes. In order to test such practicability, the GE imagery was selected for a case study in Wuhan City to perform an object-based land use/cover classification. The classification accuracy was assessed b...
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ژورنال
عنوان ژورنال: Nature
سال: 2010
ISSN: 0028-0836,1476-4687
DOI: 10.1038/4631012a