Viewing satellite images through Google Earth is a very efficient way of determining coordinates for higher quality satellite imagery.
Information about, and links to, satellite imagery in the Atlantic basin from sites like NOAA, NASA, Naval Research Laboratory, University of Wisconsin, Colorado State, College of DuPage and more.
location – historical satellite images of Earth globally; revisiting time – from several days to two weeks; spatial resolution –free satellite historical images of low and medium with a 100 to 10 m/pixel grid and hi-res imagery by request)....
I expect that the World Imagery firefly basemap would be the same as the World Imagery basemap when zoomed in. Do some spot checks to confirm. You can then check the date of the world imagery basemap by adding World Imagery tile layer from the Living Atlas. You can then get the date vi...
New model uses satellite imagery, machine learning to map flooding in urban environments As climate change causes storms to intensify, new tools are needed to map where flooding occurs in under-studied areas. Environment Jul 31, 2024 0
Awesome Satellite Imagery Datasets List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. Newest datasets at the top of each category (Instance segmentation, object detection, semantic segmentation, scene classification, other). ...
short-term anthropogenic disturbances using a moving window algorithm to measure the amount and configuration of disturbance as detected by satellite imagery. ... G Zurlini,K Riitters,N Zaccarelli,... - 《Ecological Complexity》 被引量: 176发表: 2006年 Improving Regional Seismic Event Location in...
heterogeneous areas where aerial photography and accurate up-to-date topographic maps are unavailable and where suitable features for ground-based navigation by triangulation are absent, accurately locating ground truth sites and then integrating the field data with digital imagery is often extremely ...
The Use of Kernel Based Approaches to Process Very High Resolution Satellite Imagery Information on land use classes of urban areas is very important for their management and planning. Satellite remote sensing data can provide regular and up to date information on urban areas. Although satellite ...
Based on visual interpretation of Multidate Landsat Imagery, the spatial distribution of land use/land cover over 45,000 sq.km, spread over the three drought prone districts of Bijapur, Belgaum and Dharwar in NW Karnataka, has been mapped. The land use/land cover is classified into five Leve...