Horizontal accuracy assessment of very high resolution Google Earth images in the city of Rome, Italy. Int. J. Digit. Earth 2016, 9, 342-362. [CrossRef]Pulighe, G., Baiocchi, V. & Lupia, F., 2016. Horizontal accuracy assessment of very high resolution Google Earth images in the city...
To overcome this, one has to buy latest high resolution satellite image which is more expensive to purchase and sometimes it may not be possible to get the data due to security reasons. An alternative solution is to utilize Google earth imagery which is open source and provides clear view of...
Thanks to XYZ Tiles, it’s possible to download high-resolution satellite images. Here’s a step-by-step guide on how to do it: XYZ Tiles Setup: While we detail how to set this up in this post, for the purpose of this example, we’ll be using the XYZ Tile from Google Earth or ...
Google Earth now hosts high-resolution imagery that spans twenty percent of the Earth's landmass and more than a third of the human population. This contemporary high-resolution archive represents a significant, rapidly expanding, cost-free and largely unexploited resource for scientific inquiry. To ...
Mining is of major economic, environmental and societal consequence, yet knowledge and understanding of its global footprint is still limited. Here, we produce a global mining land use dataset via remote sensing analysis of high-resolution, publicly avai
High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform Author links open overlay panelXiaoping Liu a, Guohua Hu b, Yimin Chen b, Xia Li b, Xiaocong Xu a, Shaoying Li c, Fengsong Pei d, Shaojian Wang aShow more...
We introduce Version 2 of our widely used 1-km Köppen-Geiger climate classification maps for historical and future climate conditions. The historical maps (encompassing 1901–1930, 1931–1960, 1961–1990, and 1991–2020) are based on high-resolution,
Here, using three million Landsat satellite images13, we quantify changes in global surface water over the past 32 years at 30-metre resolution. We record the months and years when water was present, where occurrence changed and what form changes took in terms of seasonality and persistence. ...
we assigned each sample point to a land cover class for the year 2021. Second, if the land cover was rubber, we identified the deforestation date for that point using historical Landsat images. Where available, more very high-resolution imagery from Google Earth was used to facilitate the inte...
R. A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm. Int. J. Digit. Earth 9, 113–133 (2015) Google Scholar Yamazaki, D., Trigg, M. A. & Ikeshima, D. Development of a global ~90m water body ...