The current research differs from research involving traditional land use models because we used a mesh-based land use prediction model that uses the productivity of agriculture and forestry obtained from mesh and a global land cover map. We found that Africa was particularly sensitive to differences...
UFP prediction robustness was evaluated with the intraclass correlation coefficient (ICC) at 31-50 external sites per area. Models from Basel and The Netherlands were validated against repeated 24 h outdoor measurements. Structure and model R2 of local models were similar within, but varied between...
Nitrogen dioxide prediction in Southern California using land use regression modeling: potential for environmental health analyses. J Expo Sci Environ Epidemiol 2006: 16: 106–114. Article CAS PubMed Google Scholar Ross Z., Jerrett M., Kazuhiko I., Tempalski B., and Thurston G. A land ...
2 proposed to use the Convolutional Neural Network (CNN) for the classification of LULC on hyperspectral images and compared with the traditional ML algorithms such as SVM, RF, and k-NN. Furthermore, researchers focused on the different aspects of DL models ranging from sequence extraction to ...
In detail, important predictor variables identified by the stepwise variable selection from the LUR procedures were applied to develop the prediction models using three types of machine learning algorithms, namely deep neural network (DNN), RF, and XGBoost for improving the accuracy of PM2.5 ...
Model validation involves the comparison of model forecasts with observed data that are not used in model development to identify model prediction capabilities. In this study, the historical forecasting method of validation is applied to the original version of the Sacramento, California, regional travel...
However, the road model prediction cannot be used because its 72% accuracy is too low. Therefore, the land cover is performed by aggregating the predictions of the 4 individual CNN models. To further improve the land cover, a post-processing procedure has been defined. The road areas are ...
From the respect of the meaning and the researching contents of land use and cover change, the methods for land use change were analyzed. Further, the methods of establishing land use dynamic change model were mainly introduced. These models include land resources quantity change model, land resou...
Here, we use the model recommended by Zhang et al.37 to separately estimate the evapotranspiration of forest and of grass lands. In addition, in order to estimate the hydrological changes of other land-cover/land-use types in the LHU dataset, we additionally introduce three extended models (...
We created land use regression (LUR) models for SO2, NO2 and PM10 for Tianjin, China. Traffic volumes, road networks, land use data, population density, meteorological conditions, physical conditions and satellite-derived greenness, brightness and wetness were used for predicting SO2, NO2 and ...