Found: 21
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Mapping the local variability of Natura 2000 habitats with remote sensing.
- Published in:
- Applied Vegetation Science, 2014, v. 17, n. 4, p. 765, doi. 10.1111/avsc.12115
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- Article
Mapping pollination types with remote sensing.
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- Journal of Vegetation Science, 2016, v. 27, n. 5, p. 999, doi. 10.1111/jvs.12421
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- Article
Phase difference analysis of temperature and vegetation phenology for beech forest: a wavelet approach.
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- Stochastic Environmental Research & Risk Assessment, 2013, v. 27, n. 5, p. 1221, doi. 10.1007/s00477-012-0658-x
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- Article
Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation.
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- Remote Sensing in Ecology & Conservation, 2021, v. 7, n. 2, p. 292, doi. 10.1002/rse2.188
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- Article
Simulation of forest tree species' bud burst dates for different climate scenarios: chilling requirements and photo-period may limit bud burst advancement.
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- International Journal of Biometeorology, 2016, v. 60, n. 11, p. 1711, doi. 10.1007/s00484-016-1161-8
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- Article
Assessing relative variable importance across different spatial scales: a two-dimensional wavelet analysis.
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- Journal of Biogeography, 2016, v. 43, n. 12, p. 2502, doi. 10.1111/jbi.12781
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- Article
Monitoring and assessing of landscape heterogeneity at different scales.
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- Environmental Monitoring & Assessment, 2013, v. 185, n. 11, p. 9419, doi. 10.1007/s10661-013-3262-8
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- Article
A new multiscale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field, and landscape.
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- Environmental Monitoring & Assessment, 2013, v. 185, n. 2, p. 1215, doi. 10.1007/s10661-012-2627-8
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- Article
Quantifying the Sensitivity of NDVI-Based C Factor Estimation and Potential Soil Erosion Prediction using Spaceborne Earth Observation Data.
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- Remote Sensing, 2020, v. 12, n. 7, p. 1136, doi. 10.3390/rs12071136
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- Article
Radiometric Correction of Simultaneously Acquired Landsat-7/Landsat-8 and Sentinel-2A Imagery Using Pseudoinvariant Areas (PIA): Contributing to the Landsat Time Series Legacy.
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- Remote Sensing, 2017, v. 9, n. 12, p. 1319, doi. 10.3390/rs9121319
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- Article
Optimising Phenological Metrics Extraction for Different Crop Types in Germany Using the Moderate Resolution Imaging Spectrometer (MODIS).
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- Remote Sensing, 2017, v. 9, n. 3, p. 254, doi. 10.3390/rs9030254
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- Article
Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring.
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- Remote Sensing, 2015, v. 7, n. 3, p. 2871, doi. 10.3390/rs70302871
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- Article
Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods.
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- Remote Sensing, 2014, v. 6, n. 12, p. 12247, doi. 10.3390/rs61212247
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- Article
Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors.
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- Sensors (14248220), 2017, v. 17, n. 8, p. 1855, doi. 10.3390/s17081855
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- Article
Reduction of Radiometric Miscalibration--Applications to Pushbroom Sensors.
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- Sensors (14248220), 2011, v. 11, n. 6, p. 6370, doi. 10.3390/s110606370
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- Article
Konik polski horses as a mean of biodiversity maintenance in post-agricultural and forest areas: an overview of Polish experiences.
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- Animal Science Papers & Reports, 2017, v. 35, n. 4, p. 333
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- Article
Introducing an adaptable, data-driven approach for extensive crop type and tree species mapping using Sentinel-2.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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- Article
Estimating Soil Moisture Patterns with Remote Sensing and Terrain Data at the Small Catchment Scale.
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- Vadose Zone Journal, 2017, v. 16, n. 10, p. 1, doi. 10.2136/vzj2017.01.0012
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- Article
Analysis of Vegetation and Soil Patterns using Hyperspectral Remote Sensing, EMI, and Gamma-Ray Measurements.
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- Vadose Zone Journal, 2013, v. 12, n. 4, p. 16, doi. 10.2136/vzj2012.0217
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- Article
Research review Responses of spring phenology to climate change.
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- New Phytologist, 2004, v. 162, n. 2, p. 295, doi. 10.1111/j.1469-8137.2004.01059.x
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- Article
Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring.
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- Methods in Ecology & Evolution, 2018, v. 9, n. 8, p. 1787, doi. 10.1111/2041-210X.12941
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- Article