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Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables.

, , , , , , , , , , , , and . Remote Sensing, 11 (19): 2270 (2019)

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Cooperative service model innovation and pilot application in the prevention and control on diabetic retinopathy with web-movable hand-hold fundus camera in regional health and medicine of digitization., , , , , , , , , and 7 other author(s). BIBM, page 1731-1733. IEEE Computer Society, (2015)Impacts of Thermal Time on Land Surface Phenology in Urban Areas., , and . Remote Sensing, 9 (5): 499 (2017)A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest., , , , , , , and . IEEE Trans. Geoscience and Remote Sensing, 52 (12): 7513-7526 (2014)Using MODIS data to study the relation between climatic spatial variability and vegetation phenology in northern high latitudes., , , , , and . IGARSS, page 1149-1151. IEEE, (2002)A novel acceleration switch with hat-like contact separated from proof mass., , , , , , and . NEMS, page 221-224. IEEE, (2011)A 0.7-V 17.4-µW 3-Lead Wireless ECG SoC., , , , and . IEEE Trans. Biomed. Circuits and Systems, 7 (5): 583-592 (2013)Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network., , , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2019)Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables., , , , , , , , , and 3 other author(s). Remote Sensing, 11 (19): 2270 (2019)How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes?, , , , , and . Remote Sensing, 11 (18): 2137 (2019)An ECG-on-Chip With 535 nW/Channel Integrated Lossless Data Compressor for Wireless Sensors., , , , and . J. Solid-State Circuits, 49 (11): 2435-2448 (2014)