Journal of Infrared and Millimeter Waves, Volume. 42, Issue 2, 241(2023)
A new index for low-light-level remote sensing identification of forest fires:the enhanced noctilucent fire disturbance index
Fig. 3. Comparison of the NTL and ENFDI inversion results for forest fires
Fig. 4. Comparison of fire identification based on NTL, Tmir, ENFDI and VNP14IMG
Fig. 5. Verification of ENFDI's and TMIR's forest fires identification accuraciesbased on the burned area calculated from GF-1’s imaging
Fig. 6. Comparison of ENFDI’s efficacies in mitigating NTL saturation across the Shenyang’s and Huludao’s forest fires
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Jin-Wen WU, Rui-Peng JI, Yu-Shu ZHANG, Long-Yu SUN, Wen-Ying YU, Rui FENG, Fang XING. A new index for low-light-level remote sensing identification of forest fires:the enhanced noctilucent fire disturbance index[J]. Journal of Infrared and Millimeter Waves, 2023, 42(2): 241
Category: Research Articles
Received: Aug. 21, 2022
Accepted: --
Published Online: Jul. 19, 2023
The Author Email: Rui FENG (fengrui_k@iaesy.com)