Spatially-Explicit Prediction of Wildfire Burn Probability Using Remotely-Sensed and Ancillary Data
Sign Up to like & getrecommendations! Published in 2020 at "Canadian Journal of Remote Sensing"
DOI: 10.1080/07038992.2020.1788385
Abstract: Abstract Wildfire is a critical process shaping the structure and composition of forest landscapes of western Canada. Spatially-explicit forest disturbance history and forest structure estimated using remotely-sensed data enables the characterization of burn probability, defined… read more here.
Keywords: spatially explicit; probability; burn probability; ancillary data ... See more keywords
The Increasing Disconnection of Primary Biodiversity Data from Specimens: How Does It Happen and How to Handle It?
Sign Up to like & getrecommendations! Published in 2018 at "Systematic Biology"
DOI: 10.1093/sysbio/syy044
Abstract: Abstract. Primary biodiversity data represent the fundamental elements of any study in systematics and evolution. They are, however, no longer gathered as they used to be and the massâproduction of observationâbased (OB) occurrences is overthrowing… read more here.
Keywords: primary biodiversity; biodiversity data; ancillary data; based occurrences ... See more keywords
Mapping Soil Particle-Size Fractions Using Additive Log-Ratio (ALR) and Isometric Log-Ratio (ILR) Transformations and Proximally Sensed Ancillary Data
Sign Up to like & getrecommendations! Published in 2018 at "Clays and Clay Minerals"
DOI: 10.1346/ccmn.2017.064074
Abstract: Together, the three particle size fractions (PSFs) of clay, silt, and sand are the most fundamental soil properties because the relative abundance influences the physical, chemical, and biological activities in soil. Unfortunately, determining PSFs requires… read more here.
Keywords: ancillary data; soil; alr; log ratio ... See more keywords