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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiuliang Jin Xinguang Xu |
| Copyright Year | 2012 |
| Description | Author affiliation: National Engineering Research Center for Information, Technology in Agriculture, Beijing, China (Xiuliang Jin; Xinguang Xu) |
| Abstract | Time series data of the China environment and disaster reduction satellite (HJ), TM images and improved Carnegie Ames Stanford Approach (CASA) model were used in this study to estimate cotton yield in 121groups Xinjiang province. we used CASA model to calculate the cotton net primary production (NPP),(NPP=(SOL ×FPAR×0.5)×ε). Finally, yield was estimated through converted the NPP to biomass, then cotton yield were obtained and validated by the field data. For NPP model, the relative error between the predicted cotton yield and the actual yield HJ was −18.00%, and TM images was −16%. It was feasible to predict cotton yield by HJ satellite data for estimating cotton yields. But in this paper, the light use efficiency (ε) as the constant, we had not considered the influence of the temperature and precipitation of the space variability and climate condition, all of these needed further study. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 834857 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467324953 |
| e-ISBN | 9781467324960 |
| e-ISBN | 9781467324946 |
| DOI | 10.1109/Agro-Geoinformatics.2012.6311683 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-02 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Net primary production (NPP) Satellites The fraction of the photosynthetically active radiation (FPAR) Biological system modeling Production Remote senseing Biomass Cotton Yield estimation Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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