Results 71 to 80 of about 150,777 (125)

Ironing out complexities in karst chronology: (U-Th)/He ferricrete ages reveal wet MIS 5c. [PDF]

Sci Adv
Lipar M, Barham M, Danišík M, Šmuc A, Webb JA, McNamara KJ, Šoster A, Ferk M.   +7 more
europepmc   +1 more source

Land cover changes across Greenland dominated by a doubling of vegetation in three decades. [PDF]

Sci Rep
Grimes M, Carrivick JL, Smith MW, Comber AJ.   +3 more
europepmc   +1 more source

Pleistocene glaciation of Fenland, England, and its implications for evolution of the region. [PDF]

R Soc Open Sci, 2018
Gibbard PL, West RG, Hughes PD.
europepmc   +1 more source

Mapping hotspots of malaria transmission from pre-existing hydrology, geology and geomorphology data in the pre-elimination context of Zanzibar, United Republic of Tanzania. [PDF]

Parasit Vectors, 2015
Hardy A, Mageni Z, Dongus S, Killeen G, Macklin MG, Majambare S, Ali A, Msellem M, Al-Mafazy AW, Smith M, Thomas C.   +10 more
europepmc   +1 more source

Fluvial geomorphology on Earth-like planetary surfaces: A review. [PDF]

Geomorphology (Amst), 2015
Baker VR, Hamilton CW, Burr DM, Gulick VC, Komatsu G, Luo W, Rice JW, Rodriguez JAP.   +7 more
europepmc   +1 more source

Remote sensing of vegetation surrogates for regolith landform mapping

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
In many environments, vegetation is known to reflect the mineralogy of the soils in which it grows. Similarly, regolith landforms, which are a function of underlying geology and localized geomorphological processes, affect vegetation community composition and structure.
Simon Benger
semanticscholar   +4 more sources

Machine Learning-Supported Regolith Landform Mapping Using Satellite Imagery and Geophysical Data

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Critical metals exploration in Australia, such as for pegmatite-hosted lithium (Li), is expanding to areas of extensive regolith cover. Machine learning (ML)-supported workflows have the potential to help produce geologically meaningful layers for ...
Carsten Laukamp, Fang Huang, Fariba Kohan Pour, Heta Lampinen   +3 more
semanticscholar   +3 more sources

Exploring for the Future—Regolith-landform mapping for the Ti Tree, Western Davenport and Tennant Creek regions: Northern Territory

, 2020
J.D.A. Clarke, M.L. Smith
semanticscholar   +3 more sources

Exploring for the Future—regolith-landform mapping for the Alice Springs region: Northern Territory

, 2020
M.L.R. Smith
semanticscholar   +3 more sources

Hyperspectral mapping of regolith materials and landforms for mineral exploration, Olary Domain, South Australia

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
Five runs of HyMap hyperspectral data, flown in November 1998 over a 300 km/sup 2/ area of the regolith dominated Olary Domain, South Australia, were processed to extract mineral information.
Ian Lau, Graham Heinson, P. R. James, Alan J Mauger   +3 more
openalex   +2 more sources