Optimizing tropical forest bird surveys using passive acoustic monitoring and high temporal resolution sampling

A spatial–temporal approach to monitoring forest disease spread using multi-temporal high spatial resolution imagery

Sudden Oak Death is a new and virulent disease affecting hardwood forests in coastal California. The spatial–temporal dynamics of oak mortality at the landscape scale are crucial indicators of disease progression. Modeling disease spread requires accurate mapping of the dynamic pattern of oak mortality in time through multi-temporal image analysis. Traditional mapping approaches using per-pixel...

Optimizing passive acoustic sampling of bats in forests

Passive acoustic methods are increasingly used in biodiversity research and monitoring programs because they are cost-effective and permit the collection of large datasets. However, the accuracy of the results depends on the bioacoustic characteristics of the focal taxa and their habitat use. In particular, this applies to bats which exhibit distinct activity patterns in three-dimensionally str...

Mapping Tropical Forest Trees Using High-Resolution Aerial Digital Photographs

The spatial arrangement of tree species is a key aspect of community ecology. Because tree species in tropical forests occur at low densities, it is logistically challenging to measure distributions across large areas. In this study, we evaluated the potential use of canopy tree crown maps, derived from high-resolution aerial digital photographs, as a relatively simple method for measuring larg...

Passive Acoustic Monitoring Bioacoustical Monitoring in Terrestrial Environments Counting Critters in the Sea Using Active Acoustics Passive Acoustic Monitoring for Estimating Animal Density and More Passive Acoustic Monitoring for Estimating Animal Density 35 PASSIVE ACOUSTIC MONITORING FOR ESTIMATING ANIMAL DENSITY

Automated Land Cover Mapping and Independent Change Detection in Tropical Forest Using Multi-temporal High Resolution Data Set

An automatic method for land cover mapping and for detecting forest change has been designed for high resolution couples of image. The work is done on 20x20 km samples of 30 m resolution Landsat imagery. The methodology has been developed for two dates extracts but several couple of images can be compared. An automatic multi-date segmentation is applied on extracts pairs. Segmentation parameter...