Seasonal Crop Water Balance Using Harmonized Landsat-8 and Sentinel-2 Time Series Data
Abstract
:1. Introduction
2. Material and Methods
2.1. Study Site
2.2. Satellite Imagery
2.3. Methods
3. Results
4. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Landsat-8 OLI | Sentinel-2 MSI | ||||
---|---|---|---|---|---|
Temporal Resolution: 16 Days | Temporal Resolution: 5 Days | ||||
Bands (m) | Spatial Resol. (m) | Bands (m) | Spatial Resol. (m) | ||
B1: Coastal | 0.435–0.451 | 30 | B1: Coastal | 0.433–0.453 | 60 |
B2: Blue | 0.452–0.511 | 30 | B2: Blue | 0.458–0.523 | 10 |
B3: Green | 0.533–0.590 | 30 | B3: Green | 0.543–0.578 | 10 |
B4: Red | 0.636–0.673 | 30 | B4: Red | 0.650–0.680 | 10 |
B5: Vegetation Red Edge | 0.698–0.713 | 20 | |||
B6: Vegetation Red Edge | 0.733–0.748 | 20 | |||
B7: Vegetation Red Edge | 0.773–0.793 | 20 | |||
B8: NIR | 0.767–0.908 | 10 | |||
B5: NIR | 0.85–0.88 | 30 | B8a: NIR | 0.848–0.881 | 20 |
B9: WV | 0.931–0.958 | 60 | |||
B9: Cirrus | 1.363–1.384 | 30 | B10: Cirrus | 1.338–1.414 | 60 |
B6: SWIR | 1.567–1.651 | 30 | B11: SWIR | 1.539–1.681 | 20 |
B7: SWIR | 2.107–2.294 | 30 | B12: SWIR | 2.072–2.312 | 20 |
B8: PAN | 0.503–0.676 | 15 | |||
B10: TIRS | 10.60–11.19 | 100 | |||
B11: TIRS | 11.50–12.51 | 100 |
Date | Satellite | Date | Satellite | Date | Satellite |
---|---|---|---|---|---|
10 December 2017 (DOY 344) | 19 January 2018 (DOY 19) | Mar/10/2018 (DOY 69) | |||
20 December 2017 (DOY 354) | 08 February 2018 (DOY 39) | Mar/15/2018 (DOY 74) | |||
25 December 2017 (DOY 359) | 13 February 2018 (DOY 44) | Mar/20/2018 (DOY 79) | |||
30 December 2017 (DOY 364) | 18 February 2018 (DOY 49) | Mar/25/2018 (DOY 84) | - | ||
04 January 2018 (DOY 4) | 21 February 2018 (DOY 52) | Mar/30/2018 (DOY 89) | |||
09 January 2018 (DOY 9) | 05 March 2018 (DOY 64) |
Landsat 8 | Sentinel 2 | |
---|---|---|
04 January 2018 (DOY 4) | ⟶ | 09 January 2018 (DOY 9) |
21 February 2018 (DOY 52) | ⟶ | 18 February 2018 (DOY 49) |
25 March 2018 (DOY 84) | ⟶ | 25 March 2018 (DOY 84) |
04 January 2018 | 21 February 2018 | 25 March 2018 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
DOY 4 | DOY 52 | DOY 84 | ||||||||
Orchards | Almonds | 9.6331 | −2.2964 | 0.95 | 9.5884 | −2.6277 | 0.89 | 5.5133 | −0.4960 | 0.79 |
Blueberries | 4.970 | −0.0216 | 0.84 | 3.5310 | 0.2247 | 0.84 | 2.6192 | 0.7221 | 0.80 | |
Plums | 7.6880 | −1.3594 | 0.77 | 6.3071 | −1.1207 | 0.84 | 5.0152 | −0.5987 | 0.79 | |
Olives | 8.0158 | −1.8227 | 0.89 | 9.8622 | −2.7053 | 0.77 | 7.5290 | −1.3265 | 0.77 | |
Table grapes | 9.5418 | −3.0590 | 0.94 | 3.1905 | 0.9724 | 0.55 | 3.3327 | 0.3498 | 0.86 | |
Vine | 9.2916 | −2.5368 | 0.96 | 6.0001 | −1.0156 | 0.93 | 3.1834 | 0.9047 | 0.84 | |
Annual Crops | Corn | 8.1881 | −1.5872 | 0.97 | 5.0615 | −0.4432 | 0.90 | 2.2771 | 1.3574 | 0.70 |
Alfalfa | 5.3963 | −0.4837 | 0.80 | 4.4676 | −0.6641 | 0.82 | 3.1753 | 0.0803 | 0.81 | |
Cereals | 8.1596 | −1.7149 | 0.98 | 6.6392 | −1.3811 | 0.93 | 6.3676 | −0.8058 | 0.82 | |
Wheat | 7.8890 | −1.5880 | 0.95 | 5.5146 | −0.7694 | 0.93 | 3.5682 | 0.2759 | 0.63 | |
Tomato | 8.9797 | −2.1934 | 0.98 | 5.8506 | −1.0944 | 0.94 | 4.2877 | −0.1040 | 0.89 |
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Gavilán, V.; Lillo-Saavedra, M.; Holzapfel, E.; Rivera, D.; García-Pedrero, A. Seasonal Crop Water Balance Using Harmonized Landsat-8 and Sentinel-2 Time Series Data. Water 2019, 11, 2236. https://doi.org/10.3390/w11112236
Gavilán V, Lillo-Saavedra M, Holzapfel E, Rivera D, García-Pedrero A. Seasonal Crop Water Balance Using Harmonized Landsat-8 and Sentinel-2 Time Series Data. Water. 2019; 11(11):2236. https://doi.org/10.3390/w11112236
Chicago/Turabian StyleGavilán, Viviana, Mario Lillo-Saavedra, Eduardo Holzapfel, Diego Rivera, and Angel García-Pedrero. 2019. "Seasonal Crop Water Balance Using Harmonized Landsat-8 and Sentinel-2 Time Series Data" Water 11, no. 11: 2236. https://doi.org/10.3390/w11112236