Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Hank, Tobias, Bach, Heike, Mauser, Wolfram (2015) Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe. Remote Sensing, 7 (4). doi:10.3390/rs70403934

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleUsing a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe
JournalRemote Sensing
AuthorsHank, TobiasAuthor
Bach, HeikeAuthor
Mauser, WolframAuthor
Year2015 (April 1)Volume7
Issue4
PublisherMDPI AG
DOIdoi:10.3390/rs70403934Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17804594Long-form Identifiermindat:1:5:17804594:4
GUID0
Full ReferenceHank, Tobias, Bach, Heike, Mauser, Wolfram (2015) Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe. Remote Sensing, 7 (4). doi:10.3390/rs70403934
Plain TextHank, Tobias, Bach, Heike, Mauser, Wolfram (2015) Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe. Remote Sensing, 7 (4). doi:10.3390/rs70403934
In(2015, April) Remote Sensing Vol. 7 (4). MDPI AG

See Also

These are possibly similar items as determined by title/reference text matching only.

Danner, Martin, Berger, Katja, Wocher, Matthias, Mauser, Wolfram, Hank, Tobias (2017) Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy. Remote Sensing, 9 (7). doi:10.3390/rs9070726
Berger, Katja, Atzberger, Clement, Danner, Martin, Wocher, Matthias, Mauser, Wolfram, Hank, Tobias (2018) Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model. Remote Sensing, 10 (12). doi:10.3390/rs10122063
Richter, Katja, Hank, Tobias B., Vuolo, Francesco, Mauser, Wolfram, D’Urso, Guido (2012) Optimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop Leaf Area Index Mapping. Remote Sensing, 4 (3). doi:10.3390/rs4030561
Danner, Martin, Berger, Katja, Wocher, Matthias, Mauser, Wolfram, Hank, Tobias (2019) Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies. Remote Sensing, 11 (10). doi:10.3390/rs11101150
Locherer, Matthias, Hank, Tobias, Danner, Martin, Mauser, Wolfram (2015) Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL Model. Remote Sensing, 7 (8). doi:10.3390/rs70810321
Berger, Katja, Atzberger, Clement, Danner, Martin, D’Urso, Guido, Mauser, Wolfram, Vuolo, Francesco, Hank, Tobias (2018) Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study. Remote Sensing, 10 (2). doi:10.3390/rs10010085
Wocher, Matthias, Berger, Katja, Danner, Martin, Mauser, Wolfram, Hank, Tobias (2018) Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data. Remote Sensing, 10 (12). doi:10.3390/rs10121924
Süß, Andreas, Hank, Tobias, Mauser, Wolfram (2016) Deriving diurnal variations in sun-induced chlorophyll-a fluorescence in winter wheat canopies and maize leaves from ground-based hyperspectral measurements. International Journal of Remote Sensing, 37. doi:10.1080/01431161.2016.1190476
Chen, Pengfei (2015) A Comparison of Two Approaches for Estimating the Wheat Nitrogen Nutrition Index Using Remote Sensing. Remote Sensing, 7 (4). doi:10.3390/rs70404527
Berger, Katja, Verrelst, Jochem, Féret, Jean-Baptiste, Wang, Zhihui, Wocher, Matthias, Strathmann, Markus, Danner, Martin, Mauser, Wolfram, Hank, Tobias (2020) Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions. Remote Sensing of Environment, 242. 111758pp. doi:10.1016/j.rse.2020.111758
Shawon, Ashifur Rahman, Ko, Jonghan, Ha, Bokeun, Jeong, Seungtaek, Kim, Dong Kwan, Kim, Han-Yong (2020) Assessment of a Proximal Sensing-integrated Crop Model for Simulation of Soybean Growth and Yield. Remote Sensing, 12 (3). doi:10.3390/rs12030410
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 28, 2025 19:36:14
Go to top of page