High-resolution global irrigation prediction with Sentinel-2 30m data

12/09/2020
by   Weixin, et al.
0

An accurate and precise understanding of global irrigation usage is crucial for a variety of climate science efforts. Irrigation is highly energy-intensive, and as population growth continues at its current pace, increases in crop need and water usage will have an impact on climate change. Precise irrigation data can help with monitoring water usage and optimizing agricultural yield, particularly in developing countries. Irrigation data, in tandem with precipitation data, can be used to predict water budgets as well as climate and weather modeling. With our research, we produce an irrigation prediction model that combines unsupervised clustering of Normalized Difference Vegetation Index (NDVI) temporal signatures with a precipitation heuristic to label the months that irrigation peaks for each cropland cluster in a given year. We have developed a novel irrigation model and Python package ("Irrigation30") to generate 30m resolution irrigation predictions of cropland worldwide. With a small crowdsourced test set of cropland coordinates and irrigation labels, using a fraction of the resources used by the state-of-the-art NASA-funded GFSAD30 project with irrigation data limited to India and Australia, our model was able to achieve consistency scores in excess of 97% and an accuracy of 92% in a small geo-diverse randomly sampled test set.

READ FULL TEXT
research
10/22/2022

Compressing multidimensional weather and climate data into neural networks

Weather and climate simulations produce petabytes of high-resolution dat...
research
12/17/2020

High-resolution Probabilistic Precipitation Prediction for use in Climate Simulations

The accurate prediction of precipitation is important to allow for relia...
research
06/29/2023

Contemporary climate analogs project north-south polarization of urban water-energy nexus across US cities under warming climate

Despite the coupled nature of water and electricity demand, the two util...
research
05/02/2023

Development of IoT Smart Greenhouse System for Hydroponic Gardens

This study focused on the development of a smart greenhouse system for h...
research
11/27/2020

Detection of Malaria Vector Breeding Habitats using Topographic Models

Treatment of stagnant water bodies that act as a breeding site for malar...
research
05/17/2020

IoT based Smart System to Support Agricultural Parameters: A Case Study

Now-a-days, the natural irrigation system is under pressure due to the g...
research
01/10/2023

An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields

Water current prediction is essential for understanding ecosystems, and ...

Please sign up or login with your details

Forgot password? Click here to reset