Estimation of fire potential index in mountainous protected region using remote sensing
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[1] S. Solomon. The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .
[2] J. San-Miguel-Ayanz,et al. A comparative analysis of the use of NOAA‐AVHRR NDVI and FWI data for forest fire risk assessment , 2008 .
[3] Wang Ming-yu,et al. Satellite remote-sensing technologies used in forest fire management , 2005, Journal of Forestry Research.
[4] Stefano Schiavon,et al. Climate Change 2007: The Physical Science Basis. , 2007 .
[5] M. J. Savage,et al. A spatio-temporal analysis of fires in South Africa , 2016 .
[6] Quazi K. Hassan,et al. A Wetness Index Using Terrain-Corrected Surface Temperature and Normalized Difference Vegetation Index Derived from Standard MODIS Products: An Evaluation of Its Use in a Humid Forest-Dominated Region of Eastern Canada , 2007, Sensors.
[7] M. H. Martínez. FOREST FIRE POTENTIAL INDEX FOR NAVARRA AUTONOMIC COMMUNITY (SPAIN) , 2007 .
[8] Cobus Rademeyer,et al. Golden Jubilee for Golden Gate - A Concise History of Golden Gate Highlands National Park, 1963 to 2013 , 2014 .
[9] Jane w. Kabubo-Mariara,et al. The Economic Impact of Climate Change on Kenyan Crop Agriculture: A Ricardian Approach , 2007 .
[10] T. Swetnam,et al. Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity , 2006, Science.
[11] Characterising fire hazard from temporal sequences of thermal infrared modis measurements , 2013 .
[12] F. Woodward,et al. The global distribution of ecosystems in a world without fire. , 2004, The New phytologist.
[13] Maryam Kordi,et al. Comparison of fuzzy and crisp analytic hierarchy process (AHP) methods for spatial multicriteria decision analysis in GIS , 2008 .
[14] O. Edenhofer,et al. Mitigation from a cross-sectoral perspective , 2007 .
[15] J. Casanova,et al. Forest Fires And Remote Sensing , 2008 .
[16] Jianjun Zhao,et al. Study on Climate and Grassland Fire in HulunBuir, Inner Mongolia Autonomous Region, China , 2017, Sensors.
[17] B. W. Wilgen,et al. Towards adaptive fire management for biodiversity conservation: experience in South African national parks , 1970 .
[18] S. Dasgupta,et al. Design of a susceptibility index for fire risk monitoring , 2006, IEEE Geoscience and Remote Sensing Letters.
[19] D. Roberts,et al. A VARI-based relative greenness from MODIS data for computing the Fire Potential Index , 2008 .
[20] P. O’Farrell,et al. Impacts of land-cover change on the water flow regulation ecosystem service: Invasive alien plants, fire and their policy implications , 2014 .
[21] Masson-Delmotte,et al. The Physical Science Basis , 2007 .
[22] E. Chuvieco,et al. Improving burning efficiency estimates through satellite assessment of fuel moisture content , 2004 .
[23] J. Régnière,et al. Climate Change and Bark Beetles of the Western United States and Canada: Direct and Indirect Effects , 2010 .
[24] R. Burgan,et al. Monitoring vegetation greenness with satellite data , 1993 .
[25] Givemore Chifodya. Modelling the spatial pattern of forest fires using NDVI and land surface temperature in Southern African landscapes , 2014 .
[26] M. Jhariya,et al. Effects of wildfires on flora, fauna and physico-chemical properties of soil-An overview , 2014 .
[27] A. Edwards,et al. Big fires and their ecological impacts in Australian savannas: size and frequency matters , 2008 .
[28] J. San-Miguel-Ayanz,et al. Integration of satellite sensor data, fuel type maps and meteorological observations for evaluation of forest fire risk at the pan-European scale , 2002 .
[29] J. King,et al. Response of Subalpine Conifers in the Sierra Nevada, California, U.S.A., to 20th-Century Warming and Decadal Climate Variability , 2004 .
[30] E. Chuvieco,et al. Human-caused wildfire risk rating for prevention planning in Spain. , 2009, Journal of environmental management.
[31] F. Hu,et al. Recent burning of boreal forests exceeds fire regime limits of the past 10,000 years , 2013, Proceedings of the National Academy of Sciences.
[32] J. Qu,et al. Forest fire detection using the normalized multi-band drought index (NMDI) with satellite measurements , 2008 .
[33] K. Solaimani,et al. Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques , 2012, Natural Hazards.
[34] I. Jonckheere,et al. Monitoring herbaceous biomass and water content with SPOT VEGETATION time-series to improve fire risk assessment in savanna ecosystems , 2006 .
[35] A. Mahdavi. Forests and rangelands? wildfire risk zoning using GIS and AHP techniques , 2012 .
[36] Alicia Palacios-Orueta,et al. Modeling and forecasting MODIS-based Fire Potential Index on a pixel basis using time series models , 2014, Int. J. Appl. Earth Obs. Geoinformation.
[37] R. Burgan,et al. Fuel Models and Fire Potential From Satellite and Surface Observations , 1998 .
[38] W. Dlamini. Application of Bayesian networks for fire risk mapping using GIS and remote sensing data , 2011 .
[39] Tobias Landmann,et al. Remote sensing of vegetation fires and its contribution to a fire management information system , 2004 .
[40] Saeedeh Eskandari,et al. Fire danger assessment in Iran based on geospatial information , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[41] B. W. Wilgen. The evolution of fire management practices in savanna protected areas in South Africa , 2010 .
[42] T. Gillespie,et al. Spaceborne remote sensing of the world’s protected areas , 2015 .
[43] Shixin Wang,et al. Fire danger assessment with remote sensing: a case study in Northern China , 2012, Natural Hazards.
[44] M. E. Alexander,et al. Current methods to assess fire danger potential , 2003 .
[46] Simple indiceS for aSSeSSing fuel moiSture content and fire danger rating , 2010 .
[47] Thomas L. Saaty,et al. DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .
[48] T. Saaty. The Analytic Network Process , 2001 .
[49] P. G. Vinod,et al. The Risk Assessment Study of Potential Forest Fire in Idukki Wildlife Sanctuary using RS and GIS Techniques , 2016 .
[50] E. Chuvieco,et al. Integrating geospatial information into fire risk assessment , 2014 .
[51] B. Leblon. Monitoring Forest Fire Danger with Remote Sensing , 2005 .
[52] B. Gao. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .
[53] E. Jobbágy,et al. Influence of fuel conditions on the occurrence, propagation and duration of wildland fires: A regional approach , 2015 .
[54] K. Goïta,et al. Spectral indices and fire behavior simulation for fire risk assessment in savanna ecosystems , 2004 .
[55] Shuangcheng Li,et al. Exploring spatially variable relationships between NDVI and climatic factors in a transition zone using geographically weighted regression , 2015, Theoretical and Applied Climatology.
[56] Klaus D. Goepel,et al. Implementing the Analytic Hierarchy Process as a Standard Method for Multi-Criteria Decision Making in Corporate Enterprises – a New AHP Excel Template with Multiple Inputs , 2013 .
[57] E. Chuvieco,et al. Development of a framework for fire risk assessment using remote sensing and geographic information system technologies , 2010 .
[58] T. Jackson,et al. Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands , 2005 .
[59] N. McDowell,et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests , 2010 .
[60] Juan Pablo Argañaraz,et al. Estimation of Live Fuel Moisture Content From MODIS Images for Fire Danger Assessment in Southern Gran Chaco , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[61] D. P. Stone. The Intergovernmental Panel on Climate Change (IPCC) , 2015 .
[62] Izak P J Smit,et al. The ongoing development of a pragmatic and adaptive fire management policy in a large African savanna protected area. , 2014, Journal of environmental management.
[63] Hamed Adab,et al. Estimating and Up-Scaling Fuel Moisture and Leaf Dry Matter Content of a Temperate Humid Forest Using Multi Resolution Remote Sensing Data , 2016, Remote. Sens..
[64] J. Qu,et al. NMDI: A normalized multi‐band drought index for monitoring soil and vegetation moisture with satellite remote sensing , 2007 .