Remote Sensing in Ecology and Conservation

Papers
(The H4-Index of Remote Sensing in Ecology and Conservation is 20. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Camera trap distance sampling for terrestrial mammal population monitoring: lessons learnt from aUKcase study84
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists57
Issue Information51
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Fine‐scale landscape phenology revealed through time‐lapse imagery: implications for conservation and management of an endangered migratory herbivore37
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Camera traps with white flash are a minimally invasive method for long‐term bat monitoring32
Issue Information31
Long‐term analysis of persistence and size of swallow and martin roosts in the US Great Lakes29
Structure‐from‐motion photogrammetry demonstrates that fine‐scale seascape heterogeneity is essential in shaping mesophotic fish assemblages27
High‐intensity bird migration along Alpine valleys calls for protective measures against anthropogenically induced avian mortality26
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning25
Passive acoustic surveys reveal interactions between frugivorous birds and fruiting trees on a large forest dynamics plot25
Coherence of recurring fires and land use change in South America23
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Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcity22
Using satellite data to assess spatial drivers of bird diversity21
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Approaching a population‐level assessment of body size in pinnipeds using drones, an early warning of environmental degradation20
Earth observation for ecosystem accounting: spatially explicit national seagrass extent and carbon stock in Kenya, Tanzania, Mozambique and Madagascar20
Using water‐landing, fixed‐wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays20
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