<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>remote sensing | FarmHub</title><link>https://farmhub.netlify.app/tag/remote-sensing/</link><atom:link href="https://farmhub.netlify.app/tag/remote-sensing/index.xml" rel="self" type="application/rss+xml"/><description>remote sensing</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Mon, 20 Jul 2020 00:00:00 +0000</lastBuildDate><image><url>https://farmhub.netlify.app/images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.png</url><title>remote sensing</title><link>https://farmhub.netlify.app/tag/remote-sensing/</link></image><item><title>Estimating yield using satellite data</title><link>https://farmhub.netlify.app/post/post1/county-scale-yield-forecast/</link><pubDate>Mon, 20 Jul 2020 00:00:00 +0000</pubDate><guid>https://farmhub.netlify.app/post/post1/county-scale-yield-forecast/</guid><description>
&lt;p>Yield estimations are of great interest to support interventions from governmental policies and to increase global food security.&lt;/p>
&lt;p>We deplyed the model described &lt;a href="https://www.researchgate.net/publication/338794925_Mid-season_county-level_corn_yield_forecast_for_US_Corn_Belt_integrating_satellite_imagery_and_weather_variables">here&lt;/a> in Google Earth Engine.&lt;/p>
&lt;p>Check out the corn yield variability in the US Midwest along the years:
&lt;a href="https://raischwalbert.users.earthengine.app/view/yield-forecaster">Satellite derived yield maps&lt;/a>&lt;/p></description></item><item><title>Mid-season county-level corn yield forecast for US Corn Belt integrating satellite imagery and weather variables</title><link>https://farmhub.netlify.app/publication/paper1/</link><pubDate>Thu, 01 Jan 1970 00:33:40 +0000</pubDate><guid>https://farmhub.netlify.app/publication/paper1/</guid><description/></item><item><title>Pre‐planting weed detection based on ground field spectral data</title><link>https://farmhub.netlify.app/publication/paper8/</link><pubDate>Thu, 01 Jan 1970 00:33:40 +0000</pubDate><guid>https://farmhub.netlify.app/publication/paper8/</guid><description/></item><item><title>Satellite-based soybean yield forecast Integrating machine learning and weather data for improving crop yield</title><link>https://farmhub.netlify.app/publication/paper3/</link><pubDate>Thu, 01 Jan 1970 00:33:40 +0000</pubDate><guid>https://farmhub.netlify.app/publication/paper3/</guid><description/></item><item><title>Fine‑tuning of wheat (Triticum aestivum, L.) variable nitrogen rate by combining crop sensing and management zones approaches in southern Brazi</title><link>https://farmhub.netlify.app/publication/paper5/</link><pubDate>Thu, 01 Jan 1970 00:33:38 +0000</pubDate><guid>https://farmhub.netlify.app/publication/paper5/</guid><description/></item><item><title>Forecasting maize yield at field scale based on high-resolution satellite imagery</title><link>https://farmhub.netlify.app/publication/paper2/</link><pubDate>Thu, 01 Jan 1970 00:33:38 +0000</pubDate><guid>https://farmhub.netlify.app/publication/paper2/</guid><description/></item></channel></rss>