David Montero Loaiza

Publications

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  deadtrees.earth - An Open-Access and Interactive Database for Centimeter-Scale Aerial Imagery to Uncover Global Tree Mortality Dynamics

  Mosig, C., Vajna-Jehle, J., Mahecha, M. D., Cheng, Y., Hartmann, H., Montero, D., Junttila, S., Horion, S., Adu-Bredu, S., Al-Halbouni, D., Allen, M., Altman, J., Angiolini, C., Astrup, R., Barrasso, C., Bartholomeus, H., Brede, B., Buras, A., Carrieri, E., ... Kattenborn, T. (2024). deadtrees.earth - An Open-Access and Interactive Database for Centimeter-Scale Aerial Imagery to Uncover Global Tree Mortality Dynamics. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2024.10.18.619094

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  Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations

  Kattenborn, T., Wieneke, S., Montero, D., Mahecha, M. D., Richter, R., Guimarães-Steinicke, C., Wirth, C., Ferlian, O., Feilhauer, H., Sachsenmaier, L., Eisenhauer, N., & Dechant, B. (2024). Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations. In Communications Earth & Environment (Vol. 5, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s43247-024-01712-0

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  CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2

  Aybar, C., Bautista, L., Montero, D., Contreras, J., Ayala, D., Prudencio, F., Loja, J., Ysuhuaylas, L., Herrera, F., Gonzales, K., Valladares, J., Flores, L. A., Mamani, E., Quiñonez, M., Fajardo, R., Espinoza, W., Limas, A., Yali, R., Alcántara, A., ... Gómez-Chova, L. (2024). In Data in Brief (Vol. 56, p. 110852). Elsevier BV. https://doi.org/10.1016/j.dib.2024.110852

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  Earth System Data Cubes: Avenues for advancing Earth system research

  Montero, D., Kraemer, G., Anghelea, A., Aybar, C., Brandt, G., Camps-Valls, G., Cremer, F., Flik, I., Gans, F., Habershon, S., Ji, C., Kattenborn, T., Martínez-Ferrer, L., Martinuzzi, F., Reinhardt, M., Söchting, M., Teber, K., & Mahecha, M. D. (2024). arXiv. https://doi.org/10.48550/ARXIV.2408.02348

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  DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes

  Ji, C., Fincke, T., Benson, V., Camps-Valls, G., Fernandez-Torres, M.-A., Gans, F., Kraemer, G., Martinuzzi, F., Montero, D., Mora, K., Pellicer-Valero, O. J., Robin, C., Soechting, M., Weynants, M., & Mahecha, M. D. (2024). arXiv. https://doi.org/10.48550/ARXIV.2406.18179

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  Recurrent Neural Networks for Modelling Gross Primary Production

  Montero, D., Mahecha, M. D., Martinuzzi, F., Aybar, C., Klosterhalfen, A., Knohl, A., Koebsch, F., Anaya, J., & Wieneke, S. (2024). In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 4214–4217). IEEE. https://doi.org/10.1109/igarss53475.2024.10640715

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  On-Demand Earth System Data Cubes

  Montero, D., Aybar, C., Ji, C., Kraemer, G., Söchting, M., Teber, K., & Mahecha, M. D. (2024). In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 7529-7532). IEEE. https://doi.org/10.1109/igarss53475.2024.10640742

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  Facilitating advanced Sentinel-2 analysis through a simplified computation of Nadir BRDF Adjusted Reflectance

  Montero, D., Mahecha, M. D., Aybar, C., Mosig, C., & Wieneke, S. (2024). In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Vol. XLVIII-4/W12-2024 (pp. 105-112). Copernicus GmbH. https://doi.org/10.5194/isprs-archives-xlviii-4-w12-2024-105-2024

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  SpectralIndices.jl: Streamlining spectral indices access and computation for Earth system research

  Martinuzzi, F., Mahecha, M. D., Montero, D., Alonso, L., & Mora, K. (2024). In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Vol. XLVIII-4/W12-2024 (pp. 89-95). Copernicus GmbH. https://doi.org/10.5194/isprs-archives-xlviii-4-w12-2024-89-2024

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  A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution

  Aybar, C., Montero, D., Donike, S., Kalaitzis, F., & Gómez-Chova, L. (2024). In IEEE Geoscience and Remote Sensing Letters (Vol. 21, pp. 1–5). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/lgrs.2024.3401394

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  Lexcube: Interactive Visualization of Large Earth System Data Cubes

  Söchting, M., Mahecha, M. D., Montero, D., & Scheuermann, G. (2024). In IEEE Computer Graphics and Applications (Vol. 44, Issue 1, pp. 25–37). IEEE. https://doi.org/10.1109/mcg.2023.3321989

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  Lessons Learned From CloudSEN12 Dataset: Identifying Incorrect Annotations in Cloud Semantic Segmentation Datasets.

  Aybar, C., Montero, D., Mateo-García, G., & Gómez-Chova, L. (2023). In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 892-895). IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE. https://doi.org/10.1109/igarss52108.2023.10282381

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  Learning Extreme Vegetation Response to Climate Forcing: A Comparison of Recurrent Neural Network Architectures.

  Martinuzzi, F., Mahecha, M. D., Camps-Valls, G., Montero, D., Williams, T., & Mora, K. (2023). Copernicus GmbH. https://doi.org/10.5194/egusphere-2023-2368

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  A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

  Montero, D., Aybar, C., Mahecha, M. D., Martinuzzi, F., Söchting, M., & Wieneke, S. (2023). In Scientific Data (Vol. 10, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41597-023-02096-0

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  spectral: Awesome Spectral Indices deployed via the Google Earth Engine JavaScript API

  Montero, D., Aybar, C., Mahecha, M. D., & Wieneke, S. (2022). In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Vol. XLVIII-4/W1-2022 (pp. 301–306). Copernicus GmbH. https://doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-301-2022

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  CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2

  Aybar, C., Ysuhuaylas, L., Loja, J., Gonzales, K., Herrera, F., Bautista, L., Yali, R., Flores, A., Diaz, L., Cuenca, N., Espinoza, W., Prudencio, F., Llactayo, V., Montero, D., Sudmanns, M., Tiede, D., Mateo-García, G., & Gómez-Chova, L. (2022). In Scientific Data (Vol. 9, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41597-022-01878-2

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  eemont: A Python package that extends Google Earth Engine

  Montero, D. (2021). In Journal of Open Source Software (Vol. 6, Issue 62, p. 3168). The Open Journal. https://doi.org/10.21105/joss.03168

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  Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

  Montero, D., Echeverry, F., & Hernández, F. (2018). In Revista de Teledetección (Issue 51, p. 75). Universitat Politecnica de Valencia. https://doi.org/10.4995/raet.2018.7688

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  Vegetation anomalies associated with the ENSO phenomenon in the Cauca river valley, Colombia

  Valencia, J. M., García, C. E., & Montero, D. (2017). In Revista de Teledetección (Issue 50, p. 89). Universitat Politecnica de Valencia. https://doi.org/10.4995/raet.2017.7715

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  Evaluation of a NIR camera for monitoring yield and nitrogen effect in sugarcane

  García, C. E., Montero, D., & Chica, H. A. (2017). In Agronomía Colombiana (Vol. 35, Issue 1, pp. 82-91). Universidad Nacional de Colombia. https://doi.org/10.15446/agron.colomb.v35n1.60852