Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Jakob van Zyl"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 55:2167-2176
Model-based decomposition allows the physical interpretation of polarimetric radar scattering in terms of various scattering mechanisms. A three-component decomposition proposed by Freeman and Durden has been popular, though significant shortcomings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f49591d3b7ef1aceedbd2877b11c360
https://doi.org/10.1109/tgrs.2016.2637882
https://doi.org/10.1109/tgrs.2016.2637882
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:3388-3399
A dual-copolarization algorithm to classify inland open water bodies free of flooded vegetation using an L-band radar is presented and evaluated, with a view to applying the method to the Soil Moisture Active Passive (SMAP) mission for hydrological s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b109dcc1435df403e6b061fe1c936a25
https://doi.org/10.1109/tgrs.2016.2517010
https://doi.org/10.1109/tgrs.2016.2517010
Publikováno v:
IGARSS
Algorithms for soil moisture estimation from radars conventionally use substantial amounts of ancillary data to parametrize complex electromagnetic models. In contrast, we describe radar data of a vegetated scene as a linear function of soil moisture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fef77351898f9b436def56d3fc28f4b
https://doi.org/10.1109/igarss.2018.8518488
https://doi.org/10.1109/igarss.2018.8518488
Autor:
Mariko Burgin, Jakob van Zyl
Publikováno v:
IGARSS
Soil moisture radar retrieval algorithms generally utilize substantial ancillary data to parametrize complex electromagnetic models. In this work, we utilize an existing empirical approach as an alternative; it describes radar backscatter of a vegeta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31412bc867af39bec4caec33e7dd1250
https://doi.org/10.1109/igarss.2017.8127911
https://doi.org/10.1109/igarss.2017.8127911
Autor:
Jakob van Zyl
Publikováno v:
Micro- and Nanotechnology Sensors, Systems, and Applications IX.
There is special synergy between NASA space instruments and medical devices, especially those that may be implanted in the human body. For example, in both cases instruments have to be small, typically have to consume little power and often have to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed89be189cd12c933c228d3a45b742d0
https://doi.org/10.1117/12.2264007
https://doi.org/10.1117/12.2264007
Autor:
Seung-Bum Kim, Michael W. Spencer, Joel T. Johnson, Leung Tsang, Jakob van Zyl, Jeffrey D. Ouellette, Mahta Moghaddam, Dara Entekhabi
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 52:5966-5973
A compact polarimetric (CP) radar system requires fewer measurements than a fully polarimetric (FP) system, thus allowing added flexibility in radar system design. Previous studies have shown the potential of using compact polarimetry for radar remot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4142c8788405d9b887b72af6099742ad
https://doi.org/10.1109/tgrs.2013.2294133
https://doi.org/10.1109/tgrs.2013.2294133
Autor:
Jakob van Zyl
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine. 6:107-107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8414af7a76244eb18203426c5387b921
https://doi.org/10.1109/mgrs.2018.2869079
https://doi.org/10.1109/mgrs.2018.2869079
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 48:3349-3357
Current polarimetric model-based decomposition techniques are limited to specific types of vegetation because of their assumptions about the volume scattering component. In this paper, we propose a generalized probability density function based on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee5b72a27e3e4c4cc27439699b1b1000
https://doi.org/10.1109/tgrs.2010.2046331
https://doi.org/10.1109/tgrs.2010.2046331
Autor:
Mahta Moghaddam, Neil R.W. Martin, Dara Entekhabi, Michael W. Spencer, Kyle C. McDonald, Shawn D Goodman, John S. Kimball, Jiancheng Shi, Randal D. Koster, Thomas J. Jackson, Susan Moran, Jeffrey R. Piepmeier, Leung Tsang, W. Edelstein, Peggy O'Neill, Jakob van Zyl, Joel T. Johnson, Jared Entin, Kent Kellogg, Eni G. Njoku, Wade T. Crow, Samuel W Thurman, Rolf H. Reichle
Publikováno v:
Proceedings of the IEEE. 98:704-716
The Soil Moisture Active Passive (SMAP) mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey. SMAP will make global measurements of the soil moisture present at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ed92272c77314f858f37a396d4862bc
https://doi.org/10.1109/jproc.2010.2043918
https://doi.org/10.1109/jproc.2010.2043918