Works matching IS 20563485 AND DT 2022 AND VI 8 AND IP 6
Results: 11
Structure‐from‐motion photogrammetry demonstrates that fine‐scale seascape heterogeneity is essential in shaping mesophotic fish assemblages.
- Published in:
- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 904, doi. 10.1002/rse2.290
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- Article
Tracking canopy gaps in mangroves remotely using deep learning.
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- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 890, doi. 10.1002/rse2.289
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- Article
Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery.
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- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 875, doi. 10.1002/rse2.288
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- Article
Earth observation for ecosystem accounting: spatially explicit national seagrass extent and carbon stock in Kenya, Tanzania, Mozambique and Madagascar.
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- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 778, doi. 10.1002/rse2.287
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- Article
Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET).
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- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 855, doi. 10.1002/rse2.286
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- Article
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists.
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- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 841, doi. 10.1002/rse2.285
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- Article
Echolocation repetition rate as a proxy to monitor population structure and dynamics of sperm whales.
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- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 827, doi. 10.1002/rse2.278
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- Article
Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania.
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- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 808, doi. 10.1002/rse2.277
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- Article
A systematic framework for continuous monitoring of land use and vegetation dynamics in multiple heterogeneous mine sites.
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- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 793, doi. 10.1002/rse2.276
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- Article
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning.
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- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 765, doi. 10.1002/rse2.275
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- Article
Issue Information.
- Published in:
- Remote Sensing in Ecology & Conservation, 2022, v. 8, n. 6, p. 761, doi. 10.1002/rse2.220
- Publication type:
- Article