Review of Remote Sensing Methods to Map Coffee Production Systems
Abstract
:1. Introduction
1.1. Review of Coffee Characteristics and Systems
1.2. Using Remote Sensing to Map Coffee
2. Methods
2.1. Planning the Review
2.2. Conducting the Review
2.3. Reporting Results
3. Results
3.1. Spectral Pixel-Based Approaches
3.2. Spectral Sub-Pixel Approaches
3.3. Texture-Based Approaches
3.4. Data Fusion Approaches
3.5. Object-Based Approaches
3.6. Hybrid Approaches
3.7. Accuracy Assessment
4. Discussion
4.1. Approaches to Overcome Coffee Mapping Challenges
4.2. Considerations for Choosing the Best Method
- Budget for imagery, software licensing, and validation data.
- Complexity of approach (i.e., processing requirements, replicability).
- Methods tested in similar geography and for target coffee system(s).
- Accuracy assessment plan.
4.3. Future Research Directions
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Rank | Country | Coffee Production 2017 (tons) | Area Harvested 2017 (ha) | Export Value of Coffee Products, 2017 | Percent of Crop and Livestock Product Exports by Value, 2017 |
---|---|---|---|---|---|
1 | Brazil | 2,684,508 | 1,802,417 | $5.27 billion | 6.62% |
2 | Vietnam | 1,542,398 | 605,178 | $3.50 billion | 15.9% |
3 | Colombia | 760,209 | 799,046 | $2.81 billion | 39.5% |
4 | Indonesia | 668,677 | 1,253,796 | $1.66 billion | 4.22% |
5 | Honduras | 473,718 | 434,312 | $1.29 billion | 48.8% |
6 | Ethiopia | 467,679 | 694,179 | $955 million | 44.0% |
7 | Peru | 337,330 | 424,129 | $710 million | 13.5% |
8 | India | 312,000 | 449,357 | $968 million | 2.86% |
9 | Guatemala | 246,319 | 281,841 | $749 million | 14.1% |
10 | Uganda | 209,421 | 379,108 | $555 million | 34.8% |
Coffee | Remote Sensing | Geography |
---|---|---|
coffee | remote sensing | mapping |
agroforestry | satellite | tropics |
shade-coffee | Sentinel-1 | global |
sun-coffee | Sentinel-2 | Indonesia |
polyculture | MODIS | Colombia |
monoculture | SAR | Brazil |
Arabica | Landsat | Vietnam |
Robusta | optical | Ethiopia |
high resolution |
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Hunt, D.A.; Tabor, K.; Hewson, J.H.; Wood, M.A.; Reymondin, L.; Koenig, K.; Schmitt-Harsh, M.; Follett, F. Review of Remote Sensing Methods to Map Coffee Production Systems. Remote Sens. 2020, 12, 2041. https://doi.org/10.3390/rs12122041
Hunt DA, Tabor K, Hewson JH, Wood MA, Reymondin L, Koenig K, Schmitt-Harsh M, Follett F. Review of Remote Sensing Methods to Map Coffee Production Systems. Remote Sensing. 2020; 12(12):2041. https://doi.org/10.3390/rs12122041
Chicago/Turabian StyleHunt, David A., Karyn Tabor, Jennifer H. Hewson, Margot A. Wood, Louis Reymondin, Kellee Koenig, Mikaela Schmitt-Harsh, and Forrest Follett. 2020. "Review of Remote Sensing Methods to Map Coffee Production Systems" Remote Sensing 12, no. 12: 2041. https://doi.org/10.3390/rs12122041