Read and visualize data from the Advanced Scatterometer (ASCAT) on-board the series of Metop satellites
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Updated
May 15, 2024 - Python
Read and visualize data from the Advanced Scatterometer (ASCAT) on-board the series of Metop satellites
🌱💧 An open source DIY soil moisture sensor
🌱 A basic soil moisture level sensor using Arduino UNO. Written in C++
CRITERIA 1D is a one-dimensional agro-hydrological model. It includes soil water fluxes, crop development and crop water needs, a GIS interface (CRITERIA GEO) for geographical simulations and tools to manage crop and soil parameters. The software is written in C++ using Qt libraries, so cross-platform building is possible (Windows, Linux, MacOS)
Readers for the data from the International Soil Moisture Network
Tools for working with SMAP L4C and Terrestrial Carbon Flux (TCF) Model data
Arduino library for Deneyap Soil Moisture Sensor TL555Q
https://git.ufz.de/chs/progs/SMI mirror: The Soil Moisture Index program - SMI
A Python toolbox for handling common tasks with cosmic-ray neutron probes
Supporting materials for the paper Effect of biomass water dynamics in cosmic-ray neutron sensor observations: A long-term analysis of maize-soybean rotation in Nebraska
Repository of Jupyter notebooks aimed at learning how to use Python to retrieve data from Google Earth Engine
Wireless multi-sensor for the garden
Scripts and instructions to reproduce the analysis presented in "Diagnosing evapotranspiration responses to water deficit across biomes using deep learning" by Giardina et al.
This library is specifically designed for the FC-28 sensor and works well with the ESP board. With this library, you can know the exact value of the measured soil moisture.
This project explores the application of soil moisture signature (Branger et al., 2019; Araki et al., 2020) to enhance streamflow and soil moisture prediction in a rainfall-runoff model.
SOMOSPIE (Soil Moisture Spatial Inference Engine) consists of a Jupyter Notebook and a suite of machine learning methods to process inputs of available coarse-grained soil moisture data at its native spatial resolution. Features include the selection of a geographic region of interest, prediction of missing values across the entire region of int…
Satellite and sensor based model to predict soil moisture at the surface level.
A first order radiative transfer model for soil- and vegetation related parameter retrievals from radar-data
Soil VIS-NIR reflectance spectra simulation based on generative model. PROSAIL model is integrated..
Custom library to access data through ClimateSERV API
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