Name
Abstract | ||
|---|---|---|
Wetlands are highly sensitive ecosystems that have experienced largely undocumented loss across Canada. Accurate statistics of historic loss of wetlands across many provinces is vague at best or non-existent at worst, as exemplified in Newfoundland and Labrador (NL). Thus, NL represents a perfect candidate for implementing historical remote sensing data sets and change detection methods. Given rec... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IGARSS47720.2021.9553053 | 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS |
Keywords | DocType | ISBN |
Earth,Climate change,Artificial satellites,Big Data,Internet,Indexes,Remote sensing | Conference | 978-1-6654-0369-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Mahdianpari | 1 | 0 | 0.34 |
| H. Jafarzadeh | 2 | 0 | 0.34 |
| J. E. Granger | 3 | 0 | 0.34 |
| F. Mohammadimanesh | 4 | 0 | 0.34 |
| B. Brisco | 5 | 70 | 19.55 |
| Bahram Salehi | 6 | 51 | 10.59 |
| Saeid Homayouni | 7 | 152 | 19.08 |
| Q. Weng | 8 | 199 | 31.18 |