Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hans Edwin Winzeler"'
Autor:
Marcelo Mancini, Hans Edwin Winzeler, Joshua Blackstock, Phillip R. Owens, David M. Miller, Sérgio H.G. Silva, Amanda J. Ashworth
Publikováno v:
Geoderma, Vol 447, Iss , Pp 116919- (2024)
Alluvial plains are vexing landscapes for soil mapping and spatial soil property predictions. Alluvial sediments often exhibit unpredictable spatial variability from both fluvial and anthropogenic disturbance. The determination of optimal number of s
Externí odkaz:
https://doaj.org/article/3d973a2ed6024922adfa81049bf35ab9
Autor:
Hans Edwin Winzeler, Marcelo Mancini, Joshua M. Blackstock, Zamir Libohova, Phillip R. Owens, Amanda J. Ashworth, David M. Miller, Sérgio H. G. Silva
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3297 (2024)
Soil nutrient content varies spatially across agricultural fields in hard-to-predict ways, particularly in floodplains with complex fluvial depositional history. Satellite reflectance data from the Sentinel-2 (S2) mission provides spatially continuou
Externí odkaz:
https://doaj.org/article/dd4e1572a82d40ddad58cb08ca8cd469
Publikováno v:
Land, Vol 12, Iss 2, p 486 (2023)
Broad-base agricultural terraces can be difficult to delineate in flat landscapes, particularly when covered by crops, due to subtle changes in elevation over relatively wide distances. In northeastern Oklahoma, these terraces are usually less than h
Externí odkaz:
https://doaj.org/article/572df786f06346d6b442c833090479e6
Autor:
Hans Edwin Winzeler, Phillip R. Owens, Quentin D. Read, Zamir Libohova, Amanda Ashworth, Tom Sauer
Publikováno v:
Land, Vol 11, Iss 11, p 2018 (2022)
Topographic wetness index (TWI) is used as a proxy for soil moisture, but how well it performs across varying timescales and methods of calculation is not well understood. To assess the effectiveness of TWI, we examined spatial correlations between i
Externí odkaz:
https://doaj.org/article/d6c0f83f86ed4df1851289e80da69936
Autor:
Phillip R. Owens, Philip J. Schoeneberger, Jyotishka Datta, Brad D. Lee, Zamir Libohova, Hans Edwin Winzeler
Publikováno v:
CATENA. 142:66-76
Predicting soil property distribution from a catena in the digital environment has been explored by many researchers with only slightly better than modest results. In this study, the landform recognition algorithm “geomorphons” in the GRASS GIS e
Autor:
Phillip R. Owens, Sharon W. Waltman, William J. Waltman, Dylan Beaudette, Hans Edwin Winzeler, Zamir Libohova
Publikováno v:
Soil Science Society of America Journal. 77:213-225
Autor:
Hans Edwin Winzeler, M Dorantes, M Dasilva, J Ashtekar, R Brown, A Castro, Phillip R. Owens, Zamir Libohova
Publikováno v:
GlobalSoilMap ISBN: 9781138001190
GlobalSoilMap: Basis of the global spatial soil information system
GlobalSoilMap: Basis of the global spatial soil information system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::523f1a22cadd5cc75e718434b1f7739d
https://doi.org/10.1201/b16500-67
https://doi.org/10.1201/b16500-67
Publikováno v:
Soil Carbon ISBN: 9783319040837
The concerns about climate change have increased interest in understanding differences in soil carbon pools and availability. The objective of this study was to assess total Soil Organic Carbon (SOC) and mineralizable SOC (Cmin) dynamics and spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b47bbe2ac23af46515393681868c7aff
https://doi.org/10.1007/978-3-319-04084-4_27
https://doi.org/10.1007/978-3-319-04084-4_27
Autor:
Hans Edwin Winzeler
Publikováno v:
Digital Soil Assessments and Beyond ISBN: 9780429097461
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa84560c252d741bc890369748dbdfcd
https://doi.org/10.1201/b12728-34
https://doi.org/10.1201/b12728-34