Determining paddy field spatiotemporal distribution and temperature influence using remote sensing in Songnen Plain, Northeastern China
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-020-06085-0.pdf
Reference54 articles.
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2. Bolton DK, Friedl MA (2013) Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics. Agric For Meteorol 173:74–84. https://doi.org/10.1016/j.agrformet.2013.01.007
3. Cai ZC, Xing GX, Yan XY, Xu H, Tsuruta H, Yagi K, Minami K (1997) Methane and nitrous oxide emissions from rice paddy fields as affected by nitrogen fertilisers and water management. Plant Soil 196:7–14. https://doi.org/10.1023/a:1004263405020
4. Chen J, Yu LX, Yan FQ, Zhang SW (2020) Ecosystem service loss in response to agricultural expansion in the Small Sanjiang Plain, Northeast China: process, driver and management. Sustainability 12:14. https://doi.org/10.3390/su12062430
5. Congalton RG (2001) Accuracy assessment and validation of remotely sensed and other spatial information. Int J Wildland Fire 10:321–328. https://doi.org/10.1071/wf01031
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