A review of soil moisture and nutrient sensing technologies
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Updated
Oct 3, 2024 - R
A review of soil moisture and nutrient sensing technologies
(French) Lesson materials for Module 1 (M1), "Open Climate Data"
This library is specifically designed for the FC-28 sensor and can only be implemented on ESP boards. With this library, you can know the exact value of the measured soil moisture.
Tools for working with SMAP L4C and Terrestrial Carbon Flux (TCF) Model data
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.
Estimation and Prediction of Wet Season Calendar and Soil Water Balance for Agriculture
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)
Lesson materials for Module 1 (M1), "Open Climate Data"
Read and visualize data from the Advanced Scatterometer (ASCAT) on-board the series of Metop satellites
🌱💧 An open source DIY soil moisture sensor
Readers and converters for data from the GLDAS Noah Land Surface Model. Written in Python.
Readers and converters for Soil Moisture Active Passive (SMAP) data.
Readers for the data from the International Soil Moisture Network
generates rasters of field capacity and wilting from the SoilGrids dataset
🌱 A basic soil moisture level sensor using Arduino UNO. Written in C++
Interferometric Synthetic Aperture Radar for Soil Moisture
python Toolbox for the Evaluation of Soil Moisture Observations
Repository of Jupyter notebooks aimed at learning how to use Python to retrieve data from Google Earth Engine
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…
Arduino library for Deneyap Soil Moisture Sensor TL555Q
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