Lists (10)
Sort Name ascending (A-Z)
Stars
pythonflaskserver
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Open source atlas of all things India. Clear license. Clear metadata. Free.
Road detections from Microsoft Maps aerial imagery
Worldwide building footprints derived from satellite imagery
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
This is an collection of blog posts turned into a course format
Python package for retrieving water data from USGS or the multi-agency Water Quality Portal
Documentation, presentations, and tutorials for aqp and soilDB
hectornieto / PyESVEP
Forked from DHI-GRAS/py-esvepPython implementation of End-member-based Soil and Vegetation Energy Partitioning (ESVEP) model.
Tools for downloading and processing Copernicus Sentinel imagery
Curso sobre Eficiencia del Uso del Agua por Teledetección
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine
Contains three partitioning methods used to partition water vapor and carbon dioxide fluxes
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
Validation for soil maps based on accuracy plots and estimation of under- and over-estimation of uncertainty as in Wadoux et al., (2018)
AlexandreWadoux / VNIR_spectroscopy_for_robust_soil_mapping
Forked from l-ramirez-lopez/VNIR_spectroscopy_for_robust_soil_mappingData and code used in the paper "Robust soil mapping at the farm scale using vis–NIR spectroscopy"
Validation of soil maps based on accuracy plots from Deutsch (1997) and Goovaert (2001)
The soilspec package: data and functions for the book 'Soil Spectral Inference with R'
Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.
A database and API for the Soil Sensor project.