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Mapping aboveground biomass in Indonesian lowland forests using GEDI and hierarchical models
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May PB, Schlund M, Armston J, Kotowska MM, Brambach F, Wenzel A, Erasmi S (2024) Mapping aboveground biomass in Indonesian lowland forests using GEDI and hierarchical models. Remote Sens Environ 313:114384, DOI:10.1016/j.rse.2024.114384
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Holtgrave A-K, Lobert F, Erasmi S, Röder N, Kleinschmit B (2023) Grassland mowing event detection using combined optical, SAR, and weather time series. Remote Sens Environ 295:113680, DOI:10.1016/j.rse.2023.113680
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Lobert F, Löw J, Schwieder M, Gocht A, Schlund M, Hostert P, Erasmi S (2023) A deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level. Remote Sens Environ 298:113800, DOI:10.1016/j.rse.2023.113800
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Blickensdörfer L, Schwieder M, Pflugmacher D, Nendel C, Erasmi S, Hostert P (2022) Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany. Remote Sens Environ 269:112831, DOI:10.1016/j.rse.2021.112831
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Schwieder M, Wesemeyer M, Frantz D, Pfoch K, Erasmi S, Pickert J, Nendel C, Hostert P (2022) Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series. Remote Sens Environ 269:112795, DOI:10.1016/j.rse.2021.112795
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Phylogenetic signatures in reflected foliar spectra of regenerating plants in Neotropical forest gaps
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Diniz ES, Hummel Amaral C, Tadin Sardinha S, Thiele J, Meira-Neto JAA (2021) Phylogenetic signatures in reflected foliar spectra of regenerating plants in Neotropical forest gaps. Remote Sens Environ 253:112172, DOI:10.1016/j.rse.2020.112172
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Lobert F, Holtgrave A-K, Schwieder M, Pause M, Vogt J, Gocht A, Erasmi S (2021) Mowing event detection in permanent grasslands: Systematic evaluation of input features from Sentinel-1, Sentinel-2, and Landsat 8 time series. Remote Sens Environ 267:112751, DOI:10.1016/j.rse.2021.112751