Satellite-based habitat monitoring reveals long-term dynamics of deer habitat in response to forest disturbances

GPS telemetry data and Landsat-based spectral-temporal metrics used for creating Maxent habitat models. Dataset includes presence observations (obtained from GPS telemetry) as well as randomly-sampled background points (pseudo-absences). All observations are augmented with spectral-temporal metrics (10th, 50th and 90th percentile) calculated for the Tasseled Cap indices brightness, greenness and wetness using all available Landsat satellite observations within a three-year moving window, which additionally were harmonized across time using the LandTrendr algorithm. Explanation of data frame columns: id - Name of deer individual date - Observation date (MM/DD/YYY) hour - Daytime hour year - Year species - Deer species (red deer / roe deer) presence - Binary 1/0, indicating whether the observation is a presence location obtained from GPS telemetry or a randomly sampled background point (pseudoabsence) greenness_p10 - 10th percentile of Tasseled Cap greenness greenness_p50 - 50th percentile of Tasseled Cap greenness greenness_p90 - 90th percentile of Tasseled Cap greenness brightness_p10 - 10th percentile of Tasseled Cap brightness brightness_p50 - 50th percentile of Tasseled Cap brightness brightness_p90 - 90th percentile of Tasseled Cap brightness wetness_p10 - 10th percentile of Tasseled Cap wetness wetness_p50 - 50th percentile of Tasseled Cap wetness wetness_p90 - 90th percentile of Tasseled Cap wetness season - "summer" or "winter", indicating which seasonal habitat model the observation was used for The Google Earth Engine Code for calculating the time series of Landsat-based metrics is provided under the following link: https://code.earthengine.google.com/?accept_repo=users/julianoeser/Oeser_et_al_2020_Landsat_habitat_dynamics