Downscaling Land Surface Temperature from MODIS Dataset with Random Forest Approach over Alpine Vegetated Areas
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Input Data
2.3. Methodology
2.3.1. The Random Forest Algorithm
2.3.2. Implementation of Random Forest for Thermal Sharpening
2.3.3. Random Forest Model Concepts
2.3.4. Data Preparation for the Validation Phase
3. Results
3.1. Global Validation
3.2. Validation for the Different Land Cover Classes
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Dataset Name | Spatial Resolution | Short Description | Derivatives Products |
---|---|---|---|
MOD11A1 | 1000 m | MODIS Terra Land Surface Temperature | Resampled to NDVI spatial resolution (GSD = 250 m) for residual correction |
NDVI 4-Day composites | 250 m | MODIS Terra and MODIS Aqua Reflectance bands based on MOD09GA | NDVI aggregated to 1000 m pixel size by spatial averaging |
ASTER GDEM | 30 m | Global Digital Elevation Model acquired ASTER scanner | GDEM resampled to 250 m and 1000 m spatial resolution |
LISS 2013 -Land Information System South Tyrol | - | Land Information System South Tyrol based on GeoEye-1 image collection from 2012 | Vegetation vector masks for: - areas covered by minimum 90% of vegetation within 1km pixels - pure pixels for different types of vegetation (75% threshold of homogeneity) |
Landsat 5 | 30 m 120 m (30) 2 | Atmospherically-corrected reflectance products (red, NIR), Thermal at-sensor radiance | Gaussian filtering and resampling to 250 m |
Landsat 8 | 30 m 100 m (30) 2 | Atmospherically-corrected reflectance products (red, NIR), Thermal at-sensor radiance | Gaussian filtering and resampling 250 m |
MOD05_L2 | 1000 m | MODIS Precipitable Water | Re-projected to MODIS Sinusoidal Projection |
Date | Sensor | Granule ID | Overpass Time (GMT) |
---|---|---|---|
27.09.2004 | Landsat 5 TM | LT05_L1TP_192028_20040927_20161129_01_T1 | 09:42 |
25.05.2005 | LT05_L1TP_192028_20050525_20161126_01_T1 | 09:45 | |
16.10.2005 | LT05_L1TP_192028_20051016_20161124_01_T1 | 09:46 | |
18.07.2007 | LT05_L1TP_192028_20070718_20161112_01_T1 | 09:52 | |
12.09.2010 | LT05_L1TP_192028_20100912_20161013_01_T1 | 09:48 | |
27.08.2016 | Landsat 8 TIRS | LC08_L1TP_192028_20160827_20170321_01_T1 | 09:58 |
11.06.2017 | LC08_L1TP_192028_20170611_20170627_01_T1 | 09:58 |
Landsat LST vs. original MODIS LST | Landsat LST vs. sharpened MODIS LST | ||||
---|---|---|---|---|---|
RMSEmean | |||||
BM | EM1 | EM2 | BM | EM1 | EM2 |
2.97 | 2.38 | 2.44 | 2.31 | 2.23 | 2.22 |
MAEmean | |||||
BM | EM1 | EM2 | BM | EM1 | EM2 |
2.18 | 1.83 | 1.85 | 1.79 | 1.73 | 1.72 |
Landsat LST vs. Sharpened MODIS LST | ||||||
---|---|---|---|---|---|---|
RMSE (K) | ||||||
Date | Forest | Vineyards & Orchards | Annual Crops | Grassland | Bushes | AVERAGE |
27.09.2004 | 2.57 | 2.55 | 2.19 | 3.03 | 3.53 | 2.78 |
25.05.2005 | 1.84 | 2.67 | 1.24 | 3.30 | 5.09 | 2.83 |
16.10.2005 | 2.19 | 1.45 | 1.05 | 2.50 | 4.08 | 2.25 |
18.07.2007 | 2.10 | 4.33 | 3.60 | 2.95 | 3.26 | 3.25 |
12.09.2010 | 2.10 | 2.66 | 2.97 | 2.78 | 3.36 | 2.77 |
27.08.2016 | 1.58 | 2.39 | 2.47 | 2.66 | 3.22 | 2.46 |
11.06.2017 | 2.09 | 3.32 | 4.13 | 3.38 | 4.43 | 3.47 |
AVERAGE | 2.07 | 2.77 | 2.52 | 2.94 | 3.85 | - |
Landsat LST vs. original MODIS LST | ||||||
---|---|---|---|---|---|---|
RMSE (K) | ||||||
Date | Forest | Vineyards & Orchards | Annual Crops | Grassland | Bushes | AVERAGE |
27.09.2004 | 2.73 | 2.75 | 2.30 | 3.53 | 3.85 | 3.03 |
25.05.2005 | 1.96 | 2.46 | 1.03 | 4.05 | 5.51 | 3.00 |
16.10.2005 | 2.24 | 1.62 | 2.71 | 3.06 | 4.64 | 2.86 |
18.07.2007 | 2.20 | 3.98 | 3.02 | 3.32 | 3.91 | 3.29 |
12.09.2010 | 2.21 | 2.56 | 3.41 | 3.30 | 4.57 | 3.21 |
27.08.2016 | 1.65 | 2.11 | 2.02 | 3.05 | 3.67 | 2.50 |
11.06.2017 | 2.19 | 2.97 | 3.23 | 3.85 | 4.48 | 3.34 |
AVERAGE | 2.17 | 2.64 | 2.53 | 3.45 | 4.38 | - |
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Bartkowiak, P.; Castelli, M.; Notarnicola, C. Downscaling Land Surface Temperature from MODIS Dataset with Random Forest Approach over Alpine Vegetated Areas. Remote Sens. 2019, 11, 1319. https://doi.org/10.3390/rs11111319
Bartkowiak P, Castelli M, Notarnicola C. Downscaling Land Surface Temperature from MODIS Dataset with Random Forest Approach over Alpine Vegetated Areas. Remote Sensing. 2019; 11(11):1319. https://doi.org/10.3390/rs11111319
Chicago/Turabian StyleBartkowiak, Paulina, Mariapina Castelli, and Claudia Notarnicola. 2019. "Downscaling Land Surface Temperature from MODIS Dataset with Random Forest Approach over Alpine Vegetated Areas" Remote Sensing 11, no. 11: 1319. https://doi.org/10.3390/rs11111319
APA StyleBartkowiak, P., Castelli, M., & Notarnicola, C. (2019). Downscaling Land Surface Temperature from MODIS Dataset with Random Forest Approach over Alpine Vegetated Areas. Remote Sensing, 11(11), 1319. https://doi.org/10.3390/rs11111319