Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Eric A., Lehmann"'
Publikováno v:
Weather and Climate Extremes, Vol 13, Iss C, Pp 44-53 (2016)
A common existing approach to modeling rainfall extremes employs a spatial Bayesian hierarchical model, where latent Gaussian processes are specified on distributional parameters in order to pool spatial information. The data are taken to be conditio
Externí odkaz:
https://doaj.org/article/dd3fcff5377645239e2e02269f3b2e79
Autor:
Williams, Kristen, Harwood, Tom, Eric A., Lehmann, Ware, Chris, Peter, Lyon, Shuvo, Bakar, Luke, Pinner, Schmidt, Becky, Mokany, Karel, Van Niel, Tom, Richards, Anna, Fiona, Dickson, McVicar, Tim, Ferrier, Simon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cbbce2c38abfb36b8e26e7e3199863e
Publikováno v:
Remote Sensing; Volume 12; Issue 18; Pages: 3018
Remote Sensing, Vol 12, Iss 3018, p 3018 (2020)
Remote Sensing, Vol 12, Iss 3018, p 3018 (2020)
Baseline determination and operational continental scale monitoring of water quality are required for reporting on marine and inland water progress to Sustainable Development Goals (SDG). This study aims to improve our knowledge of the optical comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d2ab5a4ea7a57bac180c4b92290136b
Autor:
Anders M. Johansson, Eric A. Lehmann
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
In noisy and reverberant environments, the problem of acoustic source localisation and tracking (ASLT) using an array of microphones presents a number of challenging difficulties. One of the main issues when considering real-world situations involvin
Externí odkaz:
https://doaj.org/article/06bd92e01ea24fa0a53ba7a59305fe25
Publikováno v:
Remote Sensing; Volume 11; Issue 24; Pages: 2954
Water managers need tools to assist in the management of ever increasing algal bloom problems over wide spatial areas to complement sparse and declining in situ monitoring networks. Optical methods employing satellite data offer rapid and widespread
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a53b91a6302a2360d67a89cd027a7e5a
Autor:
Eric A. Lehmann, Catherine Ticehurst, Sean Chua, Ake Rosenqvist, Fang Yuan, Ben Lewis, Norman Mueller, Zheng-Shu Zhou
Publikováno v:
2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).
We present a study to use Sentinel-1 data to map open water in Australia, with a goal to develop a method that can eventually be applied automatically across the continent. The Digital Earth Australia platform and its optical based water classificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d442acbeab3ce59670e1e411f080fc2c
https://doi.org/10.1109/apsar46974.2019.9048521
https://doi.org/10.1109/apsar46974.2019.9048521
Publikováno v:
Environmetrics. 27:239-251
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d03af9c31b130fcbbccbbd8053785ad3
https://doi.org/10.1002/env.2389
https://doi.org/10.1002/env.2389
Autor:
Alex Held, Eric A. Lehmann, Kim Lowell, Anthea Mitchell, Peter Caccetta, Zheng-Shu Zhou, Ian Tapley, Tony Milne
Publikováno v:
Remote Sensing of Environment. 156:335-348
In light of the growing volumes of remote sensing data generated by multiple space-borne platforms, integrated multi-sensor frameworks will continue to generate a significant interest in the frame of international forest monitoring initiatives. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c684d9fb99c0600f460c37b3be203bd
https://doi.org/10.1016/j.rse.2014.09.034
https://doi.org/10.1016/j.rse.2014.09.034
Autor:
M L Williams, Ian Tapley, Kim Lowell, Eric A. Lehmann, Anthony Milne, Alex Held, Anthea Mitchell, Zheng-Shu Zhou, Peter Caccetta
Publikováno v:
Remote Sensing of Environment. 155:58-68
This paper addresses the shortfall in L-band SAR data availability for the purpose of extracting spatially explicit information on forest cover, and the capacity to fill the gap using shorter wavelength C-band data. Specifically, comparisons are made
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5aa5ec7a9ac7f56e72bc9872aeb3cc1
https://doi.org/10.1016/j.rse.2014.02.020
https://doi.org/10.1016/j.rse.2014.02.020