Using RapidEye imagery to identify within-field variability of crop growth and yield in Ontario, Canada-Reference-Cited by-同舟云学术

Using RapidEye imagery to identify within-field variability of crop growth and yield in Ontario, Canada

Published:2019-03-21 Issue:6 Volume:20 Page:1231-1250
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Dong Taifeng,Shang Jiali,Liu Jiangui,Qian Budong,Jing Qi,Ma Baoluo,Huffman Ted,Geng Xiaoyuan,Sow Abdoul,Shi Yichao,Canisius Francis,Jiao Xianfeng,Kovacs John M.,Walters Dan,Cable Jeff,Wilson Jeff

Funder

Agriculture and Agri-Food Canada

Canadian Space Agency

Northern Ontario Heritage Fund Corporation of Canada

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

http://link.springer.com/content/pdf/10.1007/s11119-019-09646-w.pdf

Reference37 articles.

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3. Ben-Dor, E. (2002). Quantitative remote sensing of soil properties. Advances in Agronomy, 75, 173–243.

4. Blasch, G., Spengler, D., Hohmann, C., Neumann, C., Itzerott, S., & Kaufmann, H. (2015). Multitemporal soil pattern analysis with multispectral remote sensing data at the field-scale. Computers and Electronics in Agriculture, 113, 1–13.

5. Clevers, J. G., & Gitelson, A. A. (2013). Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and-3. International Journal of Applied Earth Observation and Geoinformation, 23, 344–351.

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