Estimating and Up-Scaling Fuel Moisture and Leaf Dry Matter Content of a Temperate Humid Forest Using Multi Resolution Remote Sensing Data

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Hamed Adab; Kasturi Devi Kanniah; Jason Beringer;
  • Publisher: MDPI AG
  • Journal: Remote Sensing (issn: 2072-4292)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.3390/rs8110961
  • Subject: leaf moisture content | leaf dry matter content | temperate humid forest | remote sensing | artificial neural network | multiple linear regression | upscaling | fire danger | Science | Q

Vegetation moisture and dry matter content are important indicators in predicting the behavior of fire and it is widely used in fire spread models. In this study, leaf fuel moisture content such as Live Fuel Moisture Content (LFMC), Leaf Relative Water Content (RWC), De... View more
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