Interpolating missing land cover data using stochastic spatial random forests for improved change detection
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing in Ecology and Conservation"
DOI: 10.1002/rse2.221
Abstract: Forest cover requires large scale and frequent monitoring as an indicator of biodiversity and progress towards United Nations and World Bank Sustainable Development Goal 15. Measuring change in forest cover over time is an essential… read more here.
Keywords: cover; interpolating missing; land cover; change ... See more keywords
Methods for interpolating missing data in aerobiological databases.
Sign Up to like & getrecommendations! Published in 2021 at "Environmental research"
DOI: 10.1016/j.envres.2021.111391
Abstract: Missing data is a common problem in scientific research. The availability of extensive environmental time series is usually laborious and difficult, and sometimes unexpected failures are not detected until samples are processed. Consequently, environmental databases… read more here.
Keywords: aerobiological databases; interpolating missing; data aerobiological; methods interpolating ... See more keywords