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Name: Marcelo Bueno Dueñas
Type: User
Bio: I found myself fascinated about the use of remote sensing, spatial analysis and machine learning to gain insights and new perspectives about soils & agriculture
Location: Perú
Name: Marcelo Bueno Dueñas
Type: User
Bio: I found myself fascinated about the use of remote sensing, spatial analysis and machine learning to gain insights and new perspectives about soils & agriculture
Location: Perú
Synthetic soil composite derived from LandSat time series in Google Earth Engine
Spatial validation of machine learning algorithms for main glacier regions in Peru.
Case study of Latin Hypercube Sampling in soil sampling with R
Code for apply new approaches for spatial cross validation of machine learning predictions of spatial variables, based on MLR3 library and Schratz, P., Becker, M., Lang, M., & Brenning, A. (2021). Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R. ArXiv:2110.12674 [Cs, Stat]. http://arxiv.org/abs/2110.12674
Code for solving the 1D analytical Haverkamp infiltration equation using Newton method
simulate_cluster_raster
Notebooks for downscaling SMAP soil moisture and validation against in situ data
Google Earth Engine algorithm for generating synthetic soil composites from Landsat catalog.
Scripts for the spatial analysis, processing and regression modeling of soil moisture retrieved from SMAP satellite using R
Code in R for spatial analysis of agricultural and soil data.
Code and data from Mario Guevara´s Digital Soil Mapping 2021 course. SuperLearner approach for soil carbon mapping.
Clustering of geomorphometric atributes for soil clasificación purposes on andean landscapes based on Gaussian mixture modeling. Implementation of the code of Dyba, K., & Jasiewicz, J. (2022). Toward geomorphometry of plains—Country-level unsupervised classification of low-relief areas (Poland). Geomorphology, 413, 108373. https://doi.org/10.1016/j.geomorph.2022.108373
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
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Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.