Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance
Abstract
:1. Introduction
2. Data Collection
2.1. Study Area and Field Measurements
2.2. Landsat 8 OLI Reflectance Data
2.3. MCD43A4 Reflectance Data
3. Methodology
3.1. CACAO Method
3.2. Gaussian Process Regression
3.3. Function Regression between Field Measurements and Vegetation Indices
3.4. Assessment Method
4. Results
4.1. Gap-Filled Reflectance
4.2. Upscaling Assessment
4.3. Aboveground Biomass and Uncertainty Maps
5. Discussion
5.1. Gap Filling for Grassland AGB Estimation
5.2. Benefits from GPR
5.3. Selection of Vegetation Indices
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Yin, G.; Li, A.; Wu, C.; Wang, J.; Xie, Q.; Zhang, Z.; Nan, X.; Jin, H.; Bian, J.; Lei, G. Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance. ISPRS Int. J. Geo-Inf. 2018, 7, 242. https://doi.org/10.3390/ijgi7070242
Yin G, Li A, Wu C, Wang J, Xie Q, Zhang Z, Nan X, Jin H, Bian J, Lei G. Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance. ISPRS International Journal of Geo-Information. 2018; 7(7):242. https://doi.org/10.3390/ijgi7070242
Chicago/Turabian StyleYin, Gaofei, Ainong Li, Chaoyang Wu, Jiyan Wang, Qiaoyun Xie, Zhengjian Zhang, Xi Nan, Huaan Jin, Jinhu Bian, and Guangbin Lei. 2018. "Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance" ISPRS International Journal of Geo-Information 7, no. 7: 242. https://doi.org/10.3390/ijgi7070242