Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germany

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(7), P. 1830 - 1830

Published: March 29, 2023

The increasing availability and variety of global satellite products the rapid development new algorithms has provided great potential to generate a level data with different spatial, temporal, spectral resolutions. However, ability these synthetic spatiotemporal datasets accurately map monitor our planet on field or regional scale remains underexplored. This study aimed support future research efforts in estimating crop yields by identifying optimal spatial (10 m, 30 250 m) temporal (8 16 days) resolutions scale. current explored discussed suitability four (Landsat (L)-MOD13Q1 (30 8 Sentinel-2 (S)-MOD13Q1 days)) two real (MOD13Q1 (250 NDVI combined separately widely used growth models (CGMs) (World Food Studies (WOFOST), semi-empiric Light Use Efficiency approach (LUE)) for winter wheat (WW) oil seed rape (OSR) yield forecasts Bavaria (70,550 km2) year 2019. For WW OSR, products’ high resolution resulted higher accuracies using LUE WOFOST. observations (8-day) both S-MOD13Q1 L-MOD13Q1 played significant role measuring OSR. example, L- an R2 = 0.82 0.85, RMSE 5.46 5.01 dt/ha WW, 0.89 0.82, 2.23 2.11 OSR model, respectively. Similarly, 8- 16-day products, simple model (R2 0.77 relative (RRMSE) 8.17%) required fewer input parameters simulate was highly accurate, reliable, more precise than complex WOFOST 0.66 RRMSE 11.35%) parameters. Conclusively, L-MOD13Q1, combination LUE, were prominent predicting products; however, advantageous generating exploring long-term time series due Landsat since 1982, maximum m. In addition, this recommended further use its findings implementing validating regions world.

Language: Английский

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Hourly global horizontal irradiance over West Africa: A case study of one-year satellite- and reanalysis-derived estimates vs. in situ measurements

Renewable Energy, Journal Year: 2023, Volume and Issue: 216, P. 119066 - 119066

Published: July 19, 2023

Estimates of global horizontal irradiance (GHI) from reanalysis and satellite-based data are the most important information for design monitoring PV systems in Africa, but their quality is unknown due to lack situ measurements. In this study, we evaluate performance hourly GHI state-of-the-art products (ERA5, CAMS, MERRA-2, SARAH-2) with 37 quality-controlled measurements novel meteorological networks established Burkina Faso Ghana under different weather conditions year 2020. The effects clouds aerosols also considered analysis by using common measures main attributes a new overall value joint assessment. results show that satellite performs better than atmospheric conditions. Nevertheless, both sources exhibit significant bias more 150 W/m2 terms RMSE cloudy skies compared clear skies. measure clearly shows derived CAMS SARAH-2 could serve as viable alternative assessing solar energy climatic zones West Africa.

Language: Английский

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Machine learning feature importance selection for predicting aboveground biomass in African savannah with landsat 8 and ALOS PALSAR data

Machine Learning with Applications, Journal Year: 2024, Volume and Issue: 16, P. 100561 - 100561

Published: May 16, 2024

In remote sensing, multiple input bands are derived from various sensors covering different regions of the electromagnetic spectrum. Each spectral band plays a unique role in land use/land cover characterization. For example, while integrating for predicting aboveground biomass (AGB) is important achieving high accuracy, reducing dataset size by eliminating redundant and irrelevant features essential enhancing performance machine learning algorithms. This accelerates process, thereby developing simpler more efficient models. Our results indicate that compared individual sensor datasets, random forest (RF) classification approach using recursive feature elimination (RFE) increased accuracy based on F score 82.86% 26.19 respectively. The mutual information regression (MIR) method shows slight increase when considering but its decreases all taken into account Overall, combination Landsat 8, ALOS PALSAR backscatter, elevation data selected RFE provided best AGB estimation RF XGBoost contrast to k-nearest neighbors (KNN) support vector machines (SVM), no significant improvement was detected even MIR were used. effect parameter optimization found be than other methods. maps show patterns estimates consistent with those reference dataset. study how prediction errors can minimized selection ML classifiers.

Language: Английский

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Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part I: Conditions, approaches, performance and new possibilities

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 313, P. 114355 - 114355

Published: Aug. 16, 2024

Atmospheric aerosols have strong impact on climate, environment, and health. To account correctly for such impact, extended aerosol characterization, including spectral Aerosol Optical Depth (AOD), Angstrom Exponent (AE), Single Scattering Albedo (SSA) etc., are required to be derived globally from space-borne observations. Together with the aerosol, Earth's surfaces an important component of climate system, reflecting absorbing solar atmospheric radiation being sources emission different natural example, sea-salt, mineral dust or organic aerosol. Since beginning observation it was recognized that most comprehensive surface characterization can achieved multi-angular polarimetric measurements. In this paper, we show obtained even single viewing radiance only satellite measurements when several crucial conditions fulfilled both observations retrieval algorithm: (i) wide range (for covering UV, VIR, NIR SWIR spectra) providing rich information about surface; (ii) swath ensuring frequent overpassing over same ground pixel temporal variability properties as well angular dependence reflectance; (iii) applied algorithm should able treat multi-temporal multi-spatial accounting spatial dependencies characteristics. The new possibilities investigated by applying advanced GRASP (Generalized Retrieval Atmosphere Surface Properties) S5P/TROPOMI optimal these purposes forward inversion approaches discussed, quality retrieved is evaluated. TROPOMI/GRASP approach demonstrated events storms, biomass burning anthropogenic pollution outbreaks in worldwide locations.

Language: Английский

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Validation of the aerosol optical property products derived by the GRASP/Component approach from multi-angular polarimetric observations

Atmospheric Research, Journal Year: 2021, Volume and Issue: 263, P. 105802 - 105802

Published: Aug. 8, 2021

Language: Английский

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