SWIR-based spectral indices for assessing nitrogen content in potato fields-Reference-Cited by-同舟云学术

SWIR-based spectral indices for assessing nitrogen content in potato fields

Published:2010-10-06 Issue:19 Volume:31 Page:5127-5143
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Herrmann I.¹,Karnieli A.¹,Bonfil D. J.²,Cohen Y.³,Alchanatis V.³

Affiliation:

1. a The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev , Sede Boker Campus , 84990 , Israel

2. b Field Crops and Natural Resources Department , Agricultural Research Organization, Gilat Research Centre , Israel

3. c Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Centre , Bet Dagan , Israel

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160903283892

Reference71 articles.

1. Hyperspectral Remote Sensing of Canopy Chemistry, Physiology, and Biodiversity in Tropical Rainforests

2. Desertification alters regional ecosystem-climate interactions

3. Barnes , E.M. , Clarke , T.R. , Richards , S.E. , Colaizzi , P.D. , Haberland , J. , Kostrewski , M. , Waller , P. , Choi , C. , Riley , E. , Tompson , T. , Lascano , R.J. , Li , H. and Moran , M.S. Coincident detection of crop water stress, nitrogen status and canopy density using ground-based multispectral data . Proceedings of the 5th International Conference on Precision Agriculture(Madison, WI: ASA-CSSA-SSSA) . Bloomington , MN , USA. andIn

4. Remote Sensing of Plant Nitrogen Status in Corn

5. Utilization of canopy reflectance to predict properties of oilseed rape (Brassica napus L.) and barley (Hordeum vulgare L.) during ontogenesis

Cited by 139 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spectroscopy-based chemometrics combined machine learning modeling predicts cashew foliar macro- and micronutrients;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-11

2. EIAGA-S: Rapid Mapping of Mangroves Using Geospatial Data without Ground Truth Samples;Forests;2024-08-29

3. Combining proximal and remote sensing to assess ‘Calatina’ olive water status;Frontiers in Plant Science;2024-08-20

4. Espectrorradiometria na distinção de espécies florestais utilizando Random Forest (RF), Support Vector Machine (SVM) e Artificial Neural Network (ANN);Revista Brasileira de Geografia Física;2024-07-23

5. A Systematic Review of Vegetation Indices for Potato Growth Monitoring and Tuber Yield Prediction from Remote Sensing;Potato Research;2024-06-22