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Fire managers need better estimates of fuel loading so they can more accurately predict the potential fire behavior and effects of alternative fuel and ecosystem restoration treatments. This report presents a new fuel sampling method, called the photoload sampling technique, to quickly and accurately estimate loadings for six common surface fuel components (1 hr, 10 hr, 100 hr, and 1000 hr downed dead woody, shrub, and herbaceous fuels). This technique involves visually comparing fuel conditions in the field with photoload sequences to estimate fuel loadings. Photoload sequences are a series of downward-looking and close-up oblique photographs depicting a sequence of graduated fuel loadings of synthetic fuelbeds for each of the six fuel components. This report contains a set of photoload sequences that describe the range of fuel component loadings for common forest conditions in the northern Rocky Mountains of Montana, USA to estimate fuel loading in the field. A companion publication (RMRS-RP-61CD) details the methods used to create the photoload sequences and presents a comprehensive evaluation of the technique.
"The RAWS network and RAWS data-use systems are closely reviewed and summarized in this report. RAWS is an active program created by the many land-management agencies that share a common need for accurate and timely weather data from remote locations for vital operational and program decisions specific to wildland and prescribed fires. A RAWS measures basic observable weather parameters such as temperature, relative humidity, wind speed, wind direction, and precipitation as well as "fuel stick" temperature. Data from almost 1,900 stations deployed across the conterminous United States, Alaska, and Hawaii are now routinely used to calculate and forecast daily fire danger indices, components, and adjective ratings. Fire business applications include the National Fire Danger Rating System (NFDRS), fire behavior, and fire use. Findings point to the fact that although the RAWS program works and provides needed weather data in support of fire operations, there are inefficiencies and significant problem areas that require leadership attention at the National level."