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

Yu, Xiang, Liu, Qing, Wang, Yebao, Liu, Xiangyang, Liu, Xin (2016) Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula. CATENA, 137. 340-349 doi:10.1016/j.catena.2015.09.024

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleEvaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula
JournalCATENA
AuthorsYu, XiangAuthor
Liu, QingAuthor
Wang, YebaoAuthor
Liu, XiangyangAuthor
Liu, XinAuthor
Year2016 (February)Volume137
PublisherElsevier BV
DOIdoi:10.1016/j.catena.2015.09.024Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID16572566Long-form Identifiermindat:1:5:16572566:8
GUID0
Full ReferenceYu, Xiang, Liu, Qing, Wang, Yebao, Liu, Xiangyang, Liu, Xin (2016) Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula. CATENA, 137. 340-349 doi:10.1016/j.catena.2015.09.024
Plain TextYu, Xiang, Liu, Qing, Wang, Yebao, Liu, Xiangyang, Liu, Xin (2016) Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula. CATENA, 137. 340-349 doi:10.1016/j.catena.2015.09.024
In(2016) CATENA Vol. 137. Elsevier BV

See Also

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

Yu, Xiang, Liu, Qing, Liu, Xin, Liu, Xiangyang, Wang, Yebao (2017) A physical-based atmospheric correction algorithm of unmanned aerial vehicles images and its utility analysis. International Journal of Remote Sensing, 38 (8). doi:10.1080/01431161.2016.1230291
Jiang, Qinghu, Liu, Minxia, Wang, Jun, Liu, Feng (2018) Feasibility of using visible and near-infrared reflectance spectroscopy to monitor heavy metal contaminants in urban lake sediment. CATENA, 162. 72-79 doi:10.1016/j.catena.2017.11.020
Yu, Xiang, Wang, Yebao, Liu, Xiangyang, Liu, Xin (2018) Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary. Marine Georesources & Geotechnology, 36. 202-210 doi:10.1080/1064119x.2017.1297876
Yu, Xiang, Yi, Huapeng, Liu, Xiangyang, Wang, Yebao, Liu, Xin, Zhang, Hua (2016) Remote-sensing estimation of dissolved inorganic nitrogen concentration in the Bohai Sea using band combinations derived from MODIS data. International Journal of Remote Sensing, 37 (2). doi:10.1080/01431161.2015.1125555
Yu, Xiang, Xiao, Bei, Liu, Xiangyang, Wang, Yebao, Cui, Buli, Liu, Xin (2017) Retrieval of remotely sensed sea surface salinity using MODIS data in the Chinese Bohai Sea. International Journal of Remote Sensing, 38 (23). doi:10.1080/01431161.2017.1375570
Hong, Yongsheng, Chen, Songchao, Liu, Yaolin, Zhang, Yong, Yu, Lei, Chen, Yiyun, Liu, Yanfang, Cheng, Hang, Liu, Yi (2019) Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared spectroscopy. CATENA, 174. 104-116 doi:10.1016/j.catena.2018.10.051
Wang, Xiang, Zhang, Xiaokang, Li, Houxuan, Zhang, Xinle, Liu, Huanjun, Dou, Xin, Yu, Ziyang (2019) The minimum level for soil allocation using topsoil reflectance spectra: Genus or species?. CATENA, 174. 36-47 doi:10.1016/j.catena.2018.11.001
Wang, Yebao, Zheng, Xiangyang, Yu, Xiang, Liu, Xin (2017) Temperature and salinity effects in modeling the trajectory of the 2011 Penglai 19-3 oil spill. Marine Georesources & Geotechnology, 35. 946-953 doi:10.1080/1064119x.2016.1261971
Tian, Hanyang, Fang, Fengru, Wang, Zhongqi, Li, Shuyi, Qiao, Jiangbo, Han, Xiaoyang, Zhu, Yuanjun, Liu, Wenzhao (2024) A mosaic pattern of apple orchards and farmland affects the distribution of soil water and nutrients in their adjacent areas on the Chinese Loess Plateau. CATENA, 237. 107776 doi:10.1016/j.catena.2023.107776
Ji, Wangjia, Wang, Yaping, Li, Ruifeng, Liu, Wenzhao, Li, Zhi (2024) High spatiotemporal asynchrony between water deficit and nitrate accumulation under apple orchards in deep loess deposits. CATENA, 239. 107932 doi:10.1016/j.catena.2024.107932
Peng, Yiping, Zhao, Li, Hu, Yueming, Wang, Guangxing, Wang, Lu, Liu, Zhenhua (2019) Prediction of Soil Nutrient Contents Using Visible and Near-Infrared Reflectance Spectroscopy. ISPRS International Journal of Geo-Information, 8. 437pp. doi:10.3390/ijgi8100437
 
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 Β© 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 29, 2025 01:29:34
Go to top of page