Junchen FENG, Hao DONG, Peng HAN, Yuanbin LI, Jingyu LIU, Yunhong DING. Prediction of Forest Burned Area based on MODIS-EVI2 and Ensemble Learning[J]. Remote Sensing Technology and Application, 2024, 39(5): 1261

Search by keywords or author
- Remote Sensing Technology and Application
- Vol. 39, Issue 5, 1261 (2024)

Fig. 1. Forest fires in Australia in 2016, the red dot is the location of the fire

Fig. 2. Processing the satellite image flow of MOD13A1 products using ENVI5.3

Fig. 3. Hierarchical Fusion structure Diagram of Stacking Model

Fig. 4. The prediction results of different models using EVI2 and NDVI as explanatory variables

Fig. 5. The accuracy of different models using EVI2 and NDVI as explanatory variables

Fig. 6. Experimental procedure of predicting Fire Burned Area by Stacking-XRSK Model

Fig. 7. The REC curves for the Stacking-XRSK model and base models
|
Table 1. Detailed description of each variable
|
Table 2. The parameter setting of four kinds of regression models
|
Table 3. Evaluation results of the eight models with EVI2 as explanatory variable and NDVI as explanatory variable
|
Table 4. Evaluation results of Ensemble Learning Model and single Base Model

Set citation alerts for the article
Please enter your email address