Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Hannah Augustin"'
Publikováno v:
Big Earth Data, Vol 7, Iss 3, Pp 451-454 (2023)
Externí odkaz:
https://doaj.org/article/02ce3244fe10419185e71f1594f3f737
Autor:
Martin Sudmanns, Hannah Augustin, Brian Killough, Gregory Giuliani, Dirk Tiede, Alex Leith, Fang Yuan, Adam Lewis
Publikováno v:
Big Earth Data, Vol 7, Iss 3, Pp 831-859 (2023)
ABSTRACTThe technological landscape for managing big Earth observation (EO) data ranges from global solutions on large cloud infrastructures with web-based access to self-hosted implementations. EO data cubes are a leading technology for facilitating
Externí odkaz:
https://doaj.org/article/7338f84466f14e028f0d923aba7d9291
Publikováno v:
Big Earth Data, Vol 7, Iss 3, Pp 694-811 (2023)
ABSTRACTAiming at the convergence between Earth observation (EO) Big Data and Artificial General Intelligence (AGI), this paper consists of two parts. In the previous Part 1, existing EO optical sensory image-derived Level 2/Analysis Ready Data (ARD)
Externí odkaz:
https://doaj.org/article/1908c45223da429abc044259175b70cb
Publikováno v:
Smart Agricultural Technology, Vol 4, Iss , Pp 100157- (2023)
The temporal and spatial heterogeneity of mowing on intensively used grasslands can be an important factor influencing the survival of insects or small animals after harvest. High heterogeneity contributes to the preservation of biodiversity on these
Externí odkaz:
https://doaj.org/article/2eea4d36dc2e4ce7ac0ff1dd37bf1ec2
Autor:
Martin Sudmanns, Dirk Tiede, Stefan Lang, Helena Bergstedt, Georg Trost, Hannah Augustin, Andrea Baraldi, Thomas Blaschke
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 7, Pp 832-850 (2020)
Turning Earth observation (EO) data consistently and systematically into valuable global information layers is an ongoing challenge for the EO community. Recently, the term ‘big Earth data’ emerged to describe massive EO datasets that confronts a
Externí odkaz:
https://doaj.org/article/3371ced16bae4aeba5ea8d2f60658098
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 7, Pp 768-784 (2020)
Sentinel-2 scenes are increasingly being used in operational Earth observation (EO) applications at regional, continental and global scales, in near-real time applications, and with multi-temporal approaches. On a broader scale, they are therefore on
Externí odkaz:
https://doaj.org/article/ecfeaff288b447a4a895b4569088a99f
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4807 (2021)
Big optical Earth observation (EO) data analytics usually start from numerical, sub-symbolic reflectance values that lack inherent semantic information (meaning) and require interpretation. However, interpretation is an ill-posed problem that is diff
Externí odkaz:
https://doaj.org/article/a39e0c03ce9b4fb0bdf38fd332a2f4c5
Publikováno v:
Data, Vol 4, Iss 3, p 102 (2019)
There is an increasing amount of free and open Earth observation (EO) data, yet more information is not necessarily being generated from them at the same rate despite high information potential. The main challenge in the big EO analysis domain is pro
Externí odkaz:
https://doaj.org/article/49e8740419964783a1da9431d9ccb03a
Autor:
Martin Sudmanns, Hannah Augustin, Brian Killough, Gregory Giuliani, Dirk Tiede, Alex Leith, Fang Yuan, Adam Lewis
Publikováno v:
Big Earth Data. :1-29
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e945c10e27e7083a3087693820553c42
https://doi.org/10.1080/20964471.2022.2099236
https://doi.org/10.1080/20964471.2022.2099236
Autor:
Christian Werner, Martin Sudmanns, Andrea Baraldi, Hannah Augustin, Dirk Tiede, Lucas van der Meer
Publikováno v:
GI_Forum. 1:53-59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae60460e8ec3912b5ca32ed3cf3978bc
https://doi.org/10.1553/giscience2021_01_s53
https://doi.org/10.1553/giscience2021_01_s53