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Remote Sensing In Ecology And Conservation

Remote Sensing In Ecology And Conservation杂志,由Wiley-Blackwell出版,于2015年创刊,4 issues/year,出版语言English,ISSN:2056-3485,E-ISSN:2056-3485。

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Remote Sensing In Ecology And Conservation
Remote Sensing In Ecology And Conservation
Remote Sensing In Ecology And Conservation
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发文地区与机构

近年国家 / 地区发文量统计

国家 / 地区 发文量
USA 46
England 30
GERMANY (FED REP GER) 24
Australia 12
Netherlands 10
Canada 9
France 9
Italy 6
Brazil 4
New Zealand 4

近年机构发文量统计

机构 发文量
HELMHOLTZ ASSOCIATION 8
NORTHERN ARIZONA UNIVERSITY 6
UNITED STATES DEPARTMENT OF THE INTERIO... 6
ZOOLOGICAL SOCIETY OF LONDON 6
HUMBOLDT UNIVERSITY OF BERLIN 5
UNITED STATES DEPARTMENT OF AGRICULTURE... 5
UNIVERSITY OF CALIFORNIA SYSTEM 5
UNIVERSITY OF CAMBRIDGE 5
UNIVERSITY OF FREIBURG 5
UNIVERSITY OF OKLAHOMA SYSTEM 5

文章引用情况

1
A monitoring toolkit for banksia woodlands: comparison of different scale methods to measure recovery of vegetation after fire

引用次数:2

2
Monitoring the coastal zone using earth observation: application of linear spectral unmixing to coastal dune systems in Wales

引用次数:1

3
Mapping woody plant community turnover with space-borne hyperspectral data - a case study in the Cerrado

引用次数:1

4
Long-term sand dune spatio-temporal dynamics and endemic plant habitat extent in the Athabasca sand dunes of northern Saskatchewan

引用次数:1

5
Camera trap theft and vandalism: occurrence, cost, prevention and implications for wildlife research and management

引用次数:1

6
Use of visible spectrum sUAS photography for land cover classification at nest sites of a declining bird species (Falco sparverius)

引用次数:1

7
Predictive power of remote sensing versus temperature-derived variables in modelling phenology of herbivorous insects

引用次数:1

8
Accuracy of swallow roost locations assigned using weather surveillance radar
9
UAV-derived habitat predictors contribute strongly to understanding avian species-habitat relationships on the Eastern Qinghai-Tibetan Plateau
10
High fire disturbance in forests leads to longer recovery, but varies by forest type