Remote Sensing Technology and Application, Volume. 39, Issue 4, 905(2024)
Research on Fire Detection Method based on Deep Neural Network MODIS Data
[1] Z SHAN, C SONYA, D A JAFFE et al. Regional influence of wildfires on aerosol chemistry in the western US and insights into atmospheric aging of biomass burning organic aerosol. Atmospheric Chemistry & Physics, 17, 1-27(2017).
[2] M HAUPTMAN, J R BALMES, M D Miller. The hazards of wildfire smoke exposure for children. Current problems in pediatric and adolescent health care, 50, 100756(2020).
[4] P J KENNEDY, A S BELWARD, J M GREGOIRE. An improved approach to fire monitoring in West Africa using AVHRR data. International Journal of Remote Sensing, 15, 2235-2255(1994).
[5] C O JUSTICE, J D KENDALl, P R DOWTY et al. Satellite remote sensing of fires during the SAFARI campaign using NOAA advanced very high resolution radiometer data. Journal of Geophysical Research: Atmospheres, 101, 23851-23863(1996).
[6] K MUIRHEAD, A P CRACKNELL. Straw burning over Great Britain detected by AVHRR. International Journal of Remote Sensing, 6, 827-833(1985).
[7] T F LEE, P M TAG. Improved detection of hotspots using the AVHRR 3.7 um channel. Bulletin of the American Meteorological Society, 71, 1722-1730(1990).
[8] M P Martín, P Ceccato, S FlASSE et al. Fire detection and fire growth monitoring using satellite data. Remote Sensing of Large Wildfires: in the European Mediterranean Basin, 101-122(1999).
[9] C O JUSTICE, L GIGLIO, S KORONTZI et al. The MODIS fire products. Remote sensing of Environment, 83, 244-262(2002).
[10] L GIGLIO, J DESCLOITRES, C O JUSTICE et al. An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, 87, 273-282(2003).
[11] L GIGLIO, W SCHROEDER, C O JUSTICE. The collection 6 MODIS active fire detection algorithm and fire products. Remote sensing of environment, 178, 31-41(2016).
[12] Z Xie, W Song, R Ba et al. A spatiotemporal contextual model for forest fire detection using Himawari-8 satellite data. Remote Sensing, 10, 1992(2018).
[13] W SCHROEDER, L GIGLIO. Visible infrared imaging radiometer suite (VIIRS) 375 m active fire detection and characterization algorithm theoretical basis document. University of Maryland: Washington(2016).
[14] S W MURPHY, C R De, R WRIGHT et al. HOTMAP: Global hot target detection at moderate spatial resolution. Remote sensing of environment, 177, 78-88(2016).
[15] X HU, Y BAN, A NASCETTI. Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach. International Journal of Applied Earth Observation and Geoinformation, 101, 102347(2021).
[16] Qingyun XU, Weiwei GU, Tao XIE et al. Implementation of remote sensing monitoring algorithm for straw burning fire points. Remote Sensing Technology and Applications, 32, 728-733(2017).
[17] P H FREEBORN, M J WOOSTER, D P ROY et al. Quantification of MODIS Fire Radiative Power (FRP) measurement uncertainty for use in satellite‐based active fire characterization and biomass burning estimation. Geophysical Research Letters, 41, 1988-1994(2014).
[18] S P FLASSE, P CECCATO. A contextual algorithm for AV-HRR fire detection. International Journal of Remote Sensing, 17, 419-424(1996).
[19] X X ZHU, D TUIA, L MOU et al. Deep learning in remote sensing: A comprehensive review and list of resources. IEEE Geoscience and Remote Sensing Magazine, 5, 8-36(2017).
[20] K VANI. Deep learning based forest fire classification and detection in satellite images, 61-65(2019).
[21] M GARGIULO, D A G DELL’AGLIO, A IODICE et al. A CNN-based super-resolution technique for active fire detection on Sentinel-2 data, 418-426(2019).
[22] G H ALMEIDA PEREIRA, A M Fusioka, B T Nassu et al. Active fire Detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study. ISPRS Journal of Photogrammetry and Remote Sensing, 178, 171-186(2021).
[23] A ROSTAMI, R SHAH-HOSSEINI, S ASGARI et al. Active fire detection from Landsat-8 imagery using deep multiple Kernel learning. Remote Sensing, 14, 992(2022).
[24] K C SHORT. Spatial wildfire occurrence data for the United States, 1992-2015 [FPA_FOD_20170508](2017).
[25] S W MAIER, J RUSSELL-SMITH, A C EDWARDS et al. Sensitivity of the MODIS fire detection algorithm (MOD14) in the Savanna region of the Northern Territory, Australia. ISPRS Journal of Photogrammetry and Remote Sensing, 76, 11-16(2013).
[26] N PETTORELLI. The normalized difference vegetation index(2013).
[28] Y ZHANG, I O A ODEH, C HAN. Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis. International Journal of Applied Earth Observation and Geoinformation, 11, 256-264(2009).
[29] Xingfeng CHEN, Li LIU, Jiaguo LI et al. Application and research progress of satellite remote sensing fire point monitoring. Journal of Remote Sensing, 24, 531-542(2020).
[30] Ting DONG, Lingkui MENG, Wen ZHANG. Analysis of the applicability of MODIS shortwave infrared moisture stress index in agricultural drought monitoring. Journal of Remote Sensing, 19, 319-327(2015).
[31] Huapeng LI, Shuqing ZHANG, Ziqiang GAO et al. Suitability evaluation of MODIS vegetation indices for monitoring agricultural drought. Spectroscopy and Spectral Analysis, 33, 756-761(2013).
[32] Zhequan LI, Gui ZHANG, Sanqing TAN et al. Research on forest fire risk early warning based on satellite remote sensing. Journal of Central South University of Forestry & Technology, 41, 26-33(2021).
[33] B XU, N WANG, T CHEN et al. Empirical evaluation of rectified activations in convolutional network. arXiv preprint, 2015(00853).
[34] S IOFFE. Accelerating deep network training by reducing internal covariate shift proceedings of the 32nd international conference on machine learning. PMLR, 37, 448-456(2015).
[35] Chenhui HAN, Qian YANG, Xiaohui HE et al. Research on fire point recognition algorithm based on Himawari-8 satellite. Remote Sensing Technology and Applications, 38, 173-181(2023).
Get Citation
Copy Citation Text
Jinpeng CHEN, Lin SUN, Feifei XIE, Huijuan GAO, Shuai GE. Research on Fire Detection Method based on Deep Neural Network MODIS Data[J]. Remote Sensing Technology and Application, 2024, 39(4): 905
Category:
Received: Feb. 14, 2023
Accepted: --
Published Online: Jan. 6, 2025
The Author Email: SUN Lin (sunlin6@126.com)