Remote Sensing in Ecology and Conservation
E675114
Remote Sensing in Ecology and Conservation is a peer-reviewed scientific journal focusing on the application of remote sensing technologies to ecological research and biodiversity conservation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Remote Sensing in Ecology and Conservation canonical | 1 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
peer-reviewed journal
ⓘ
scientific journal ⓘ |
| academicDiscipline |
biodiversity
ⓘ
conservation biology ⓘ ecology ⓘ remote sensing ⓘ |
| aimsTo |
bridge the gap between remote sensing and applied ecology
ⓘ
promote the use of Earth observation data in conservation decision-making ⓘ support evidence-based biodiversity conservation ⓘ |
| focusesOn |
application of remote sensing to biodiversity conservation
ⓘ
application of remote sensing to ecological research ⓘ biodiversity assessment ⓘ climate change impacts on ecosystems ⓘ conservation planning ⓘ ecosystem monitoring ⓘ ecosystem services mapping ⓘ environmental change detection ⓘ forest monitoring ⓘ habitat mapping ⓘ land cover change ⓘ landscape ecology ⓘ marine and coastal habitat monitoring ⓘ protected area management ⓘ spatial ecology ⓘ species distribution modelling ⓘ wildlife habitat suitability ⓘ |
| hasPeerReview | true ⓘ |
| language | English ⓘ |
| publishes |
applied conservation research
ⓘ
case studies ⓘ interdisciplinary studies ⓘ methodological papers ⓘ original research articles ⓘ review articles ⓘ |
| targetAudience |
conservation scientists
ⓘ
ecologists ⓘ environmental managers ⓘ policy makers in conservation ⓘ remote sensing specialists ⓘ |
| usesDataType |
Earth observation data
ⓘ
GIS data ⓘ geospatial data ⓘ |
| usesTechnology |
LiDAR
ⓘ
airborne remote sensing ⓘ drone-based remote sensing ⓘ hyperspectral imaging ⓘ multispectral imaging ⓘ radar remote sensing ⓘ satellite remote sensing ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Remote Sensing in Ecology and Conservation Description of subject: Remote Sensing in Ecology and Conservation is a peer-reviewed scientific journal focusing on the application of remote sensing technologies to ecological research and biodiversity conservation.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.