Despite the intensive research effort directed at predicting the effects of climate change on plants in the Arctic, the impact of environmental change on species' distributions remains difficult to quantify. Predictive habitat distribution models provide a tool to predict the geographical distributi
β¦ LIBER β¦
Remote sensing of structural complexity indices for habitat and species distribution modeling
β Scribed by L.D. Estes; P.R. Reillo; A.G. Mwangi; G.S. Okin; H.H. Shugart
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 1020 KB
- Volume
- 114
- Category
- Article
- ISSN
- 0034-4257
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Modelling local distribution of an Arcti
β
Pieter S.A. Beck; Ellen Kalmbach; Daniel Joly; Audun Stien; Lennart Nilsen
π
Article
π
2005
π
Elsevier Science
π
English
β 798 KB
A remote sensing model of CO2flux for wh
β
Renhua Zhang; Xiaomin Sun; Zhilin Zhu; Hongbo Su; Gang Chen
π
Article
π
1999
π
Science in China Press (SCP)
π
English
β 791 KB
The use of Remote Sensing techniques and
β
P.C. Fernandes da Silva; J.C. Cripps; S.M. Wise
π
Article
π
2005
π
Elsevier Science
π
English
β 882 KB
Practical and economic constraints prompt the need of obtaining structural geological information with reduced field effort. This paper presents a methodological strategy for deriving such information from remotely sensed (RS) images coupled with empirical tectonic models as a way of bridging from r
Composite wind and temperature profiles
β
U. GΓΆrsdorf; F. Beyrich; H. Dier; U. Leiterer
π
Article
π
2002
π
Springer
π
English
β 267 KB