Identifying Birds' Collision Risk with Wind Turbines Using a Multidimensional Utilization Distribution Method

Autor: Sam Khosravifard, Antonio Muñoz, V. Venus, Albertus G. Toxopeus, Andrew K. Skidmore, Babak Naimi

Publikováno v: Wildlife Society Bulletin, 44(1), 191-199. Wiley-Blackwell

Renewable energy plays a key role in reducing greenhouse gas emissions. However, the expansion of wind farms has raised concerns about risks for bird collisions. We tested different methods used to understand whether birds' flight occurs over wind tu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3625fdd2989fb5f49e5a575f4af9f1fc
http://hdl.handle.net/10138/317205

Providing Satellite Data to Mobile Developers Using Semantic Technologies and Linked Data

Autor: Sam Ubels, Manolis Koubarakis, Daems Dirk, Firman Wahyudi, V. Venus, Despina-Athanasia Pantazi, Konstantina Bereta, Ulrike Daniels, George Stamoulis, Hervé Caumont

Publikováno v: ICSC

Copernicus is the European program for monitoring the Earth. It consists of a set of complex systems that collect data from satellites and in-situ sensors, process it, and provide users with reliable and up-to-date information on a range of environme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b5f1035c295e68d703f41ed5082e84f
https://doi.org/10.1109/icosc.2019.8665579

Mapping land cover gradients through analysis of hyper-temporal NDVI imagery

Autor: V. Venus, Amjad Ali, Petros Lymberakis, Amina Hamad, Rory Scarrott, C.A.J.M. de Bie, Andrew K. Skidmore

Publikováno v: International Journal of applied Earth Observation and Geoinformation 23 (2013)
International Journal of Applied Earth Observation and Geoinformation (JAG), 23, 301-312. Elsevier
International Journal of applied Earth Observation and Geoinformation, 23, 301-312

The green cover of the earth exhibits various spatial gradients that represent gradual changes in space of vegetation density and/or in species composition. To date, land cover mapping methods differentiate at best, mapping units with different cover

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45c66626f5497664283f8abfe96376ab
https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2011/pres/ali_map.pdf

Analysis of agricultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite data

Autor: Vinay Kumar Dadhwal, N. R. Patel, V. Venus, Bikash Ranjan Parida, S. K. Saha

Publikováno v: Environmental monitoring and assessment, 184(12), 7153-7163. Springer

The most commonly used normalized difference vegetation index (NDVI) from remote sensing often fall short in real-time drought monitoring due to a lagged vegetation response to drought. Therefore, research recently emphasized on the use of combinatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66c137d5d0a4885263652b26f7dc7bc3
https://doi.org/10.1007/s10661-011-2487-7

Estimating land-surface temperature under clouds using MSG/SEVIRI observations

Autor: V. Venus, Tiejun Wang, Andrew K. Skidmore, Geping Luo, Lei Lu

Publikováno v: International Journal of Applied Earth Observation and Geoinformation (JAG), 13(2), 265-276. Elsevier
International Journal of applied Earth Observation and Geoinformation 13 (2011) 2
International Journal of applied Earth Observation and Geoinformation, 13(2), 265-276

The retrieval of land-surface temperature (LST) from thermal infrared satellite sensor observations is known to suffer from cloud contamination. Hence few studies focus on LST retrieval under cloudy conditions. In this paper a temporal neighboring-pi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::806d0ea8bd2606af33d766782a3a9ae3
https://doi.org/10.1016/j.jag.2010.12.007