Monitoring fire activities in the boreal ecosystem

Li, Zhanqing; Cihlar, J.; Moreau, Louis; Huang, Fu-Ying; Lee, Bryan

doi:10.1029/97jd01106

Cited by 59 publications

(37 citation statements)

References 36 publications

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“…After one full year of regeneration, NIR reflectance and NDVI recovered significantly toward preburn levels. Canada (1998 and1999) Several previous applications using coarse resolution imagery for burned area mapping in the boreal zone have examined postfire decreases in AVHRR's NDVI (Fraser, Li, & Cihlar, 2000;Kasischke & French, 1995;Li et al, 1997;Li, Nadon, Cihlar, & Stocks, 2000). In the preceding section, it was demonstrated that an SWVI provides superior discrimination of burned boreal forest at the end of the fire season than does the NDVI or individual VGT channels.…”

Section: Resultsmentioning

confidence: 99%

“…To date, the AVHRR sensor aboard the NOAA series of meteorological satellites has been the most commonly used spaceborne instrument for characterizing the distribution and impact of boreal fires at regional to continental scales. The sensor has been used for identifying active fires (Flannigan & Vonder Haar, 1986;Li, Cihlar, Moreau, Huang, & Lee, 1997;, detecting smoke plumes (Li, Khananian, & Fraser, 2001), mapping the extent of burned areas (Cahoon, Stocks, Levine, Cofer, & Pierson, 1994;Fraser, Li, & Cihlar, 2000;Kasischke & French, 1995;Li, Nadon, Cihlar, & Stocks, 2000), and estimating trace gas emissions (Cahoon et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

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Estimating fire-related parameters in boreal forest using SPOT VEGETATION

Fraser¹,

Li²

2002

Remote Sensing of Environment

105

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The majority of burning in the boreal forest zone consists of stand replacement fires larger than 10 km 2 occurring in remote, sparsely populated regions. Satellite remote sensing using coarse resolution ( c 1 km) sensors is thus well suited in documenting the spatial and temporal distribution of fires in this zone. The purpose of this study was to investigate the utility of the SPOT VEGETATION (VGT) sensor for estimating three key parameters related to boreal forest fire: burned area, postfire regeneration age, and aboveground biomass. Based on a sample of fires across Canada, the best overall discrimination of burned forest was provided by a normalized short-wave-based vegetation index (SWVI) that combines near-infrared (NIR) and short-wave infrared (SWIR) channels from VGT. Multitemporal differencing of this index from anniversary date VGT composites was combined synergistically with active fire locations from NOAA/AVHRR to map Canadian forest that burned during 1998 and 1999. National burned area estimates for both years were within 15% of those compiled by the Canadian Interagency Forest Fire Centre. The normalized index also was correlated (R=.68) with the age of regenerating forests in Saskatchewan and Manitoba that burned between 1949 and 1998. An artificial neural network (ANN) model developed using temporal metrics computed from VGT could predict the age of these forests with an RMS error of 7 years (R=.83). By contrast, forest biomass based on Canada's Forest Inventory (CanFI) was estimated with relatively poor accuracy (RMS = 32 tons/ha) from VGT reflectance and terrestrial ecozone using a network model. We conclude that the VGT instrument is effective for mapping large boreal burns at the end of a fire season and approximating the age of regenerating burns less than about 30 years old. This information can be useful to supplement conventional groundbased data sets in remote areas where coverage may be incomplete. D

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimating fire-related parameters in boreal forest using SPOT VEGETATION

Fraser¹,

Li²

2002

Remote Sensing of Environment

105

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“…Satellites such as NOAA, SPOT, and Landsat have been used in the past to map fire location and extent of fire damage using the visible wavelengths (Li et al, 1997;Fuller, 2000). However, recent spaceborne sensors are able to provide near real time data on global fires and physical geographic variables used in predictive fire behavior models.…”

Section: Firementioning

confidence: 99%

Assessment and prediction of natural hazards from satellite imagery

Gillespie

Chu

Frankenberg

et al. 2007

Progress in Physical Geography: Earth and Environment

102

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Since 2000, there have been a number of spaceborne satellites that have changed the way we assess and predict natural hazards. These satellites are able to quantify physical geographic phenomena associated with the movements of the earth's surface (earthquakes, mass movements), water (floods, tsunamis, storms), and fire (wildfires). Most of these satellites contain active or passive sensors that can be utilized by the scientific community for the remote sensing of natural hazards over a number of spatial and temporal scales. The most useful satellite imagery for the assessment of earthquake damage comes from high-resolution (0.6 m to 1 m pixel size) passive sensors and moderate resolution active sensors that can quantify the vertical and horizontal movement of the earth's surface. High-resolution passive sensors have been used to successfully assess flood damage while predictive maps of flood vulnerability areas are possible based on physical variables collected from passive and active sensors. Recent moderate resolution sensors are able to provide near real time data on fires and provide quantitative data used in fire behavior models. Limitations currently exist due to atmospheric interference, pixel resolution, and revisit times. However, a number of new microsatellites and constellations of satellites will be launched in the next five years that contain increased resolution (0.5 m to 1 m pixel resolution for active sensors) and revisit times (daily ≤ 2.5 m resolution images from passive sensors) that will significantly improve our ability to assess and predict natural hazards from space.

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“…Hanuta and LaDochy (1989) used a lightning detection network to examine the thunderstorm climatology of Manitoba. In addition, climatologies have been generated for southern Ontario (Crozier et al, 1988), northern Ontario (Flannigan and Wotton, 1991), the southern Great Lakes area (Clodman and Chisholm, 1996), mid-to northern Saskatchewan (Li et al, 1997), and the subalpine and boreal forest regions of Alberta and Saskatchewan (Nash and Johnson, 1996).…”

Section: Introductionmentioning

confidence: 99%