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Annual Gross Primary Production from Vegetation Indices: A Theoretically Sound Approach.

, , and . Remote Sensing, 9 (3): 193 (2017)

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Annual Gross Primary Production from Vegetation Indices: A Theoretically Sound Approach., , and . Remote Sensing, 9 (3): 193 (2017)Quantifying water stress effect on daily light use efficiency in Mediterranean ecosystems using satellite data., , , , , , and . Int. J. Digit. Earth, 10 (6): 623-638 (2017)Regional Crop Gross Primary Productivity and Yield Estimation Using Fused Landsat-MODIS Data., , , , , , and . Remote. Sens., 10 (3): 372 (2018)Rangeland Productivity Partitioned to Sub-Pixel Plant Functional Types., , , , , and . Remote Sensing, 11 (12): 1427 (2019)Development of an earth observation processing chain for crop bio-physical parameters at local scale., , , , , , and . IGARSS, page 29-32. IEEE, (2015)Retrieval of daily gross primary production over Europe and Africa from an ensemble of SEVIRI/MSG products., , , , , , , , , and 9 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2018)Multitemporal Monitoring of Plant Area Index in the Valencia Rice District with PocketLAI., , , , , , , , , and . Remote. Sens., 8 (3): 202 (2016)Intercomparison of instruments for measuring leaf area index over rice., , , , , , , , , and . IGARSS, page 3389-3392. IEEE, (2015)Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine., , , , , , , , , and 3 other author(s). IGARSS, page 2320-2323. IEEE, (2020)Interpretability of Recurrent Neural Networks in Remote Sensing., , , , , , and . IGARSS, page 3991-3994. IEEE, (2020)