Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Johannes H. Uhl"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Understanding changes in the built environment is vital for sustainable urban development and disaster preparedness. Recent years have seen the emergence of a variety of global, continent-level, and nation-wide datasets related to the curren
Externí odkaz:
https://doaj.org/article/33d2e71362a847a484f910722eff2584
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract Cartography, as a strategic technology, is a historical marker. Maps are tightly connected to the cultural construction of the environment. The increasing availability of digital collections of historical map images provides an unprecedented
Externí odkaz:
https://doaj.org/article/3246e83d3aad44b7befff4872aace656
Autor:
Martino Pesaresi, Marcello Schiavina, Panagiotis Politis, Sergio Freire, Katarzyna Krasnodębska, Johannes H. Uhl, Alessandra Carioli, Christina Corbane, Lewis Dijkstra, Pietro Florio, Hannah K. Friedrich, Jing Gao, Stefan Leyk, Linlin Lu, Luca Maffenini, Ines Mari-Rivero, Michele Melchiorri, Vasileios Syrris, Jamon Van Den Hoek, Thomas Kemper
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
The Global Human Settlement Layer (GHSL) project fosters an enhanced, public understanding of the human presence on Earth. A decade after its inception in the Digital Earth 2020 vision, GHSL is an established project of the European Commission’s Jo
Externí odkaz:
https://doaj.org/article/5eada1a535274db6a93a898ca8865701
Autor:
Johannes H. Uhl, Stefan Leyk
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 123, Iss , Pp 103469- (2023)
Geospatial datasets derived from remote sensing data by means of machine learning methods are often based on probabilistic outputs of abstract nature, which are difficult to translate into interpretable measures. For example, the Global Human Settlem
Externí odkaz:
https://doaj.org/article/fc61af2a0ad7436e88a8731b3e7a02a7
Autor:
Johannes H. Uhl, Stefan Leyk
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1722-1748 (2022)
It is common knowledge that the level of landscape heterogeneity may affect the performance of remote sensing based land use/land cover classification. While this issue has been studied in depth for land cover data in general, the specific relationsh
Externí odkaz:
https://doaj.org/article/d3a5f4fc087a46f992a41e8230e64ffd
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-18 (2022)
Measurement(s) Structural Land Use Technology Type(s) Python Sample Characteristic - Organism Structures Sample Characteristic - Environment Built Environment Sample Characteristic - Location United States
Externí odkaz:
https://doaj.org/article/e91db08209394d21a31768dc31b5f1f1
Publikováno v:
Smart Agricultural Technology, Vol 2, Iss , Pp 100046- (2022)
Accurate agricultural yield prediction is a fundamental tool for sustainable agricultural planning and to ensure food security in regions critically affected by climate change and extreme weather events. Existing regression-based crop yield estimatio
Externí odkaz:
https://doaj.org/article/5f33beb913ea4f2c91abb14667f9b5b8
Autor:
Johannes H. Uhl, Stefan Leyk
Publikováno v:
Data in Brief, Vol 43, Iss , Pp 108369- (2022)
Despite abundant data on the spatial distribution of contemporary human settlements, historical datasets on the long-term evolution of human settlements at fine spatial and temporal granularity are scarce, limiting our quantitative understanding of l
Externí odkaz:
https://doaj.org/article/8c5d8a1a422c45caac9b6db2a280a1a6
Autor:
Johannes H. Uhl, Hamidreza Zoraghein, Stefan Leyk, Deborah Balk, Christina Corbane, Vasileios Syrris, Aneta J. Florczyk
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 1, Pp 22-44 (2020)
There is an increasing availability of geospatial data describing patterns of human settlement and population such as various global remote-sensing based built-up land layers, fine-grained census-based population estimates, and publicly available cad
Externí odkaz:
https://doaj.org/article/3565f852585b4b9599cda619f41a2048
Publikováno v:
IEEE Access, Vol 8, Pp 6978-6996 (2020)
Information extraction from historical maps represents a persistent challenge due to inferior graphical quality and the large data volume of digital map archives, which can hold thousands of digitized map sheets. Traditional map processing techniques
Externí odkaz:
https://doaj.org/article/8fb6daa8dd2d44d5bbf6fab661df7a8b