A Spatial Distribution Empirical Model of Surface Soil Water Content and Soil Workability on an Unplanted Sugarcane Farm Area Using Sentinel-1A Data towards Precision Agriculture Applications
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Sentinel-1A Data Acquisition
2.3. Sentinel-1A Data Processing
2.4. In Situ Soil Sampling and Measurements
2.5. Spatial Distribution of Soil Water Content and Workability Retrieval Methods
3. Results and Discussion
3.1. Soil Characteristics of Study Sites
3.2. Develo** an Empirical Model of Soil Water Content
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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RMSE | MAPE (%) | Accuracy (100 – MAPE) | |
---|---|---|---|
Model | 0.213 | 16.39 | 83.61 |
Testing/validation | 0.250 | 18.79 | 81.21 |
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Imantho, H.; Seminar, K.B.; Hermawan, W.; Saptomo, S.K. A Spatial Distribution Empirical Model of Surface Soil Water Content and Soil Workability on an Unplanted Sugarcane Farm Area Using Sentinel-1A Data towards Precision Agriculture Applications. Information 2022, 13, 493. https://doi.org/10.3390/info13100493
Imantho H, Seminar KB, Hermawan W, Saptomo SK. A Spatial Distribution Empirical Model of Surface Soil Water Content and Soil Workability on an Unplanted Sugarcane Farm Area Using Sentinel-1A Data towards Precision Agriculture Applications. Information. 2022; 13(10):493. https://doi.org/10.3390/info13100493
Chicago/Turabian StyleImantho, Harry, Kudang Boro Seminar, Wawan Hermawan, and Satyanto Krido Saptomo. 2022. "A Spatial Distribution Empirical Model of Surface Soil Water Content and Soil Workability on an Unplanted Sugarcane Farm Area Using Sentinel-1A Data towards Precision Agriculture Applications" Information 13, no. 10: 493. https://doi.org/10.3390/info13100493