Assimilation of remote sensing into crop growth models: Current status and perspectives
China Meteorological Administration · Ministry of Natural Resources · +12 more institutions
Abstract
Timely monitoring of crop lands is important in order to make agricultural activities more sustainable, as well as ensuring food security. The use of Earth Observation (EO) data allows crop monitoring at a range of spatial scales, but can be hampered by limitations in the data. Crop growth modelling, on the other hand, can be used to simulate the physiological processes that result in crop development. Data assimilation (DA) provides a way of blending the monitoring properties of EO data with the predictive and explanatory abilities of crop growth models. In this paper, we first provide a critique of both the advantages and disadvantages of both EO data and crop growth models. We use this to introduce a solid…
Citation impact
- FWCI
- 33.99
- Percentile
- 100%
- References
- 233
Authors
13- JHJianxi HuangCorresponding
China Meteorological Administration, Ministry of Natural Resources, Ministry of Agriculture and Rural Affairs, China Agricultural University
- JGJosé Gómez‐Dans
National Centre for Earth Observation, University College London
- HHHai Huang
China Agricultural University
- HMHongyuan Ma
University College London
- QWQingling Wu
University College London
Topics & keywords
- Assimilation (phonology)
- Current (fluid)
- Data assimilation
- Environmental science
- Remote sensing
- Geography
- Meteorology
- Geology
- Zero hunger
Funding
- SRSight Research UKAwards: nceo020005, NE/R016518/1, nceo020002, NE/R000115/1
- NNNational Natural Science Foundation of ChinaAwards: 61661136006, 41671418
- H2Horizon 2020 Framework Programme
- NENatural Environment Research CouncilAwards: NE/R000115/1, nceo020002, nceo020005, NE/R016518/1
- SAScience and Technology Facilities Council
- NCNational Centre for Earth Observation