Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day …

B Franch, EF Vermote, I Becker-Reshef… - Remote Sensing of …, 2015 - Elsevier
Wheat is the most important cereal crop traded on international markets and winter wheat
constitutes approximately 80% of global wheat production. Thus, accurate and timely …

A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data

I Becker-Reshef, E Vermote, M Lindeman… - Remote sensing of …, 2010 - Elsevier
Wheat is one of the key cereal crops grown worldwide, providing the primary caloric and
nutritional source for millions of people around the world. In order to ensure food security …

Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine

B Franch, EF Vermote, S Skakun, JC Roger… - International Journal of …, 2019 - Elsevier
Accurate and timely crop yield forecasts are critical for making informed agricultural policies
and investments, as well as increasing market efficiency and stability. Earth observation data …

Yield estimation and forecasting for winter wheat in Hungary using time series of MODIS data

P Bognár, A Kern, S Pásztor… - … journal of remote …, 2017 - Taylor & Francis
Wheat is one of the most important crops in Hungary, which represents approximately 20%
of the entire agricultural area of the country, and about 40% of cereals. A robust yield …

Assessing the performance of MODIS NDVI and EVI for seasonal crop yield forecasting at the ecodistrict scale

L Kouadio, NK Newlands, A Davidson, Y Zhang… - Remote Sensing, 2014 - mdpi.com
Crop yield forecasting plays a vital role in coping with the challenges of the impacts of
climate change on agriculture. Improvements in the timeliness and accuracy of yield …

Forecasting wheat yield from weather data and MODIS NDVI using Random Forests for Punjab province, Pakistan

U Saeed, J Dempewolf, I Becker-Reshef… - … journal of remote …, 2017 - Taylor & Francis
Wheat is the staple food of Punjab province of Pakistan, which contributes more than 75% of
the total national production. Accurate and timely forecasting of wheat yield is a cornerstone …

USA crop yield estimation with MODIS NDVI: Are remotely sensed models better than simple trend analyses?

DM Johnson, A Rosales, R Mueller, C Reynolds… - Remote Sensing, 2021 - mdpi.com
Crop yield forecasting is performed monthly during the growing season by the United States
Department of Agriculture's National Agricultural Statistics Service. The underpinnings are …

Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models

F Kogan, N Kussul, T Adamenko, S Skakun… - International Journal of …, 2013 - Elsevier
Ukraine is one of the most developed agriculture countries and one of the biggest crop
producers in the world. Timely and accurate crop yield forecasts for Ukraine at regional level …

Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China

J Ren, Z Chen, Q Zhou, H Tang - … Journal of Applied Earth Observation and …, 2008 - Elsevier
The significance of crop yield estimation is well known in agricultural management and
policy development at regional and national levels. The primary objective of this study was …

Winter wheat yield prediction using integrated Landsat 8 and Sentinel-2 vegetation index time-series data and machine learning algorithms

H Zhang, Y Zhang, K Liu, S Lan, T Gao, M Li - Computers and Electronics in …, 2023 - Elsevier
Timely and accurate forecasting of winter wheat yield is important to crop management, food
security, and sustainable agricultural development. Unfortunately, the process of predicting …