Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems
Bibliographic Data
| ID | 11369487 |
|---|---|
| Authors | Xinzhe Yin (0000-0003-0963-8185, Sichuan International Studies University), Jinghua Li (0000-0002-1805-9970, Sichuan International Studies University, corresponding author), Seifedine Kadry (0000-0002-1939-4842, Beirut Arab University), Seifedine Nimer Kadry, Iván Pastor Sanz (0000-0002-5643-4946, Universidad Internacional De La Rioja), Ivan Sanz-Prieto |
| Year | 2021 |
| Volume | 86 |
| Pages | 106493 |
| Publication date | 2021-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Impact Assessment Review (JOURNAL) |
| Journal identifiers | ISSN: 0195-9255 • E-ISSN: 1873-6432 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.eiar.2020.106493 |
| OpenAlex | W3105267675 |
| Language | EN |
| Citations received | 8 |
| References cited | 28 |
Civil engineering · Ecosystem · Ecosystem services · Environmental planning · Environmental resource management · Land use · Resource (disambiguation · Restoration Ecology · Sustainable development · Terrestrial ecosystem · Computer Science · Engineering · Environmental Science · Land Use and Ecosystem Services · Species Distribution and Climate Change · Wildlife-Road Interactions and Conservation · Ecology
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| Citations per year | 2 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |