The objective of this paper is to review the different modelling approaches that have been used in land-use/land-cover change research from the perspective of their utility for the study and prediction of changes in land-use intensification. After clarifying the main concepts used, the different ...
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 (...
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 ...
It is critical that future urban land use policies consider population prediction trends in order to reduce the consumption of urban land by planning optimal PBUAs that align with the TLEPC. However, this study has some limitations, including the unavailability of adequate data, which prevented us...
Prediction of land use changes based on Land Change Modeler and attribution of changes in the water balance of Ganga basin to land use change using the SWAT model. Sci. Total Environ. 644, 503-519. https://doi.org/10.1016/j.scitotenv.2018.07.017 [5] Berg, P., Moseley, C., Hae...
Exploring the impact of land use/land cover changes on the dynamics of Deepor wetland (a Ramsar site) in Assam, India using geospatial techniques and machine learning models. Model. Earth Syst. Environ. 10, 4043–4065 (2024). https://doi.org/10.1007/s40808-024-01999-0 Download citation ...
Land use change models are tools to support the analysis of the causes and consequences of land use dynamics. Scenario analysis with land use models can su
The land cover prediction model was built using the method featured in examples in the Azure ML Fast AI repo. The training and validation images were pre-featurized using the same quantized ResNet-50 model that is flashed onto the FPGA ch...
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Yang, C.et al.Improving land use/land cover classification by integrating pixel unmixing and decision tree methods.Remote Sens.9 ArticleADSCASGoogle Scholar Zhu, L.et al.Landslide susceptibility prediction using sparse feature extraction and machine learning models based on GIS and remote sensing.IEEE...