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A Data Storage, Analysis and Project Administration Engine (Tmfdw) for Small to Medium-Size Interdisciplinary Ecological Research Programs with Full Raster Data Capabilities

https://doi.org/10.2139/ssrn.4855692
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Estimating Daily Net Radiation over Vegetation Canopy through Remote Sensing and Climatic Data
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Cloud detection in the Tropics--a suitable tool for climate-ecological studies in the high mountains of Ecuador
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Land‐cover classification in the Andes of southern Ecuador using Landsat ETM+ data as a basis for SVAT modelling
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Remotely sensed retrieval of midday air temperature considering atmospheric and surface moisture conditions
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Estimating daily maximum air temperature from MODIS in British Columbia, Canada
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Estimation of instantaneous air temperature using remote sensing data
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Relationships between the three components of air temperature and remotely sensed land surface temperature of agricultural areas in Morocco
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Total ozone measurements using IKFS-2 spectrometer aboard Meteor-M N2 satellite in 2019–2020
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Multiscale Terrain Analysis of Multibeam Bathymetry Data for Habitat Mapping on the Continental Slope
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Use of Geographically Weighted Regression Model for Exploring Spatial Patterns and Local Factors Behind NDVI-Precipitation Correlation
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Summer Nights in Berlin, Germany: Modeling Air Temperature Spatially With Remote Sensing, Crowdsourced Weather Data, and Machine Learning
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Nutrient cycling drives plant community trait assembly and ecosystem functioning in a tropical mountain biodiversity hotspot
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Estimating the Surface Air Temperature by Remote Sensing in Northwest China Using an Improved Advection-Energy Balance for Air Temperature Model
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A New Class of Quality Controls for Micrometeorological Data in Complex Tropical Environments
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Thermal structure of a megadiverse Andean mountain ecosystem in southern Ecuador and its regionalization
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Cloud occurrence and cloud properties in Ecuador
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A Deep Learning Multimodal Method for Precipitation Estimation
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Quantitative Precipitation Estimation in the Tianshan Mountains Based on Machine Learning
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Connecting National and International Data Infrastructures in Biodiversity Research
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