Results 141 to 150 of about 59,653 (294)
Improved image classification with neural networks by fusing multispectral signatures with topological data [PDF]
Automated schemes are needed to classify multispectral remotely sensed data. Human intelligence is often required to correctly interpret images from satellites and aircraft. Humans suceed because they use various types of cues about a scene to accurately
Harston, Craig, Schumacher, Chris
core +1 more source
Accounting for animal movement during aerial imaging surveys
Animals are not stationary during aerial surveys; if their movements are related to the movement of the aerial platform, then bias can be introduced into subsequent population count estimates. We sought to establish a framework for assessing the impacts of animal movement on count error and platform bias by comparing aggregated counts and relative ...
Rowan L. Converse +5 more
wiley +1 more source
Georeferencing Sunda pangolin Manis javanica records in Singapore
In Singapore, the Critically Endangered Sunda pangolin Manis javanica is threatened by habitat loss and fragmentation, and road traffic collisions. To mitigate these threats, an understanding of its spatiotemporal distribution is needed, as identified in
Muhammad Khairuldin Aziz +7 more
doaj +1 more source
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin +2 more
wiley +1 more source
Georeferenced data employed in the spatial analysis of neighborhood diversity and creative class share in Chicago. [PDF]
Bereitschaft B, Cammack R.
europepmc +1 more source
Spatial matching for Georeferencing Data of Household Surveys
This paper develops a methodology using business intelligence (data warehouse) and OLAP tools (Online Analytical Processing) to match individuals from a household survey data to a census one. In order to geo-reference the household data, the method takes advantage of the geographical information of the census.
Navarrete, Mónica +2 more
openaire +2 more sources
ABSTRACT Over the past few decades, the intensification of global warming has brought increased attention to urban thermal dynamics, particularly regarding Land Surface Temperature (LST) and the Urban Surface Heat Island (SUHI) effect. This study conducts a systematic literature review alongside a bibliometric analysis of 123 peer‐reviewed articles ...
David Hidalgo‐García +4 more
wiley +1 more source
Assessing the role of spatial externalities in the survival of Italian innovative startups
Abstract The paper provides novel empirical evidence about the effects of spatial externalities on the survival of innovative startups in Italy. Using geocoded firm‐level data, we build micro‐geographic measures of specialization and diversity that are robust to the modifiable areal unit problem.
Diego Giuliani +4 more
wiley +1 more source
Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data [PDF]
Regions, independent of their geographic level of aggregation, are known to be interrelated partly due to their relative locations. Similar economic performance among regions can be attributed to proximity.
Daniel A. Griffith +3 more
core
ABSTRACT This study examines the interplay between climate change, violent conflict and forced migration in the Middle East and North Africa (MENA), focusing on asylum flows to the European Union (EU). By integrating high‐resolution climate, conflict and socioeconomic data spanning 2000 to 2023, we develop a comprehensive empirical framework to ...
Shifa Mathbout +4 more
wiley +1 more source

