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Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-3-2024, Pp 637-641 (2024)
Tree canopy plays an essential role in the biophysical activities in forest environment. During the past two decades, individual tree delineation using high-resolution imagery data has become a hot topic in forest sensing research. Individual Tree Cr
Externí odkaz:
https://doaj.org/article/3d96292d4a1242388a09159c233daaa3
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-3-2024, Pp 445-452 (2024)
Automatic topological graph extraction is critical for intelligent remote sensing image interpretation and cartographic representation. However, existing approaches neither adopt segmentation-based post-processing nor directly predict the graph, ther
Externí odkaz:
https://doaj.org/article/88c49925d1984fa1881f1785632ef23e
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-2024, Pp 441-446 (2024)
The Earth Observation (EO) analytics are moving from local systems to online cloud computing platforms such as Google Earth Engine (GEE) and Open Geospatial Engine (OGE). A typical approach in existing efforts is to leverage geospatial data cubes wit
Externí odkaz:
https://doaj.org/article/e5de8912609e430cbc6f57b979eacc8d
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-2024, Pp 453-459 (2024)
The quantity and diversity of Earth spatiotemporal big data have significantly increased in recent years, providing the potential to comprehensively analyse complex spatiotemporal problems from new perspectives. However, integrating, managing, and ap
Externí odkaz:
https://doaj.org/article/bab4e45bdda54d9aa86af80d46bd22e1
Autor:
Tejender S. Thakur
Publikováno v:
CrystEngComm. 22:1885-1888
A comment on a statement made by W. Tang et al. on the levofloxacin polymorphs predicted through CSP studies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11f342895ec37fb4f0293b162599eea3
https://doi.org/10.1039/c9ce01400d
https://doi.org/10.1039/c9ce01400d
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-2-2024, Pp 247-254 (2024)
Underwater mapping is vital for engineering applications and scientific research in ocean environments, with coral reefs being a primary focus. Unlike more uniform and predictable terrestrial environments, coral reefs present a unique challenge for 3
Externí odkaz:
https://doaj.org/article/7dab1d0a223146f597db9eda27aac419
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 185-191 (2024)
This study proposes a method for determining the direction of space targets using existing satellite constellations. Usually, when optical satellites point towards deep space for imaging, stars inevitably appear in the image. This study conducts all
Externí odkaz:
https://doaj.org/article/e8564dbae12f496cb186800a9aed1256
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 697-712 (2024)
Ground surface deformation in mines affects mining production, damages the ecological environment, and endangers human safety. Mastering the detailed time series deformation and related triggering factors can provide key information for the safety of
Externí odkaz:
https://doaj.org/article/4681bb7b29a743e3886923b542a46ef2
Autor:
F. Li, Q. Zhu, W. J. Riley, L. Zhao, L. Xu, K. Yuan, M. Chen, H. Wu, Z. Gui, J. Gong, J. T. Randerson
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 869-884 (2023)
African and South American (ASA) wildfires account for more than 70 % of global burned areas and have strong connection to local climate for sub-seasonal to seasonal wildfire dynamics. However, representation of the wildfire–climate relationship re
Externí odkaz:
https://doaj.org/article/0090a94dcf1641bd96513b9d0e895e6a