An overview of global leaf area index (LAI): Methods, products, validation, and applications

H Fang, F Baret, S Plummer… - Reviews of …, 2019 - Wiley Online Library
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

Seasonal crop yield forecast: Methods, applications, and accuracies

B Basso, L Liu - advances in agronomy, 2019 - Elsevier
The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …

Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation

J Huang, F Sedano, Y Huang, H Ma, X Li… - Agricultural and Forest …, 2016 - Elsevier
The scale mismatch between remote sensing observations and state variables simulated by
crop growth models decreases the reliability of crop yield estimates. To overcome this …

A near real-time deep learning approach for detecting rice phenology based on UAV images

Q Yang, L Shi, J Han, J Yu, K Huang - Agricultural and Forest Meteorology, 2020 - Elsevier
Near real-time crop phenology detection is essential for crop management, estimation of
harvest time and yield estimation. Previous approaches to crop phenology detection have …

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 …

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 …

[HTML][HTML] Relationship between MODIS-NDVI data and wheat yield: A case study in Northern Buenos Aires province, Argentina

MF Lopresti, CM Di Bella, AJ Degioanni - Information Processing in …, 2015 - Elsevier
In countries like Argentina, whose economy depends heavily on crop production, the
estimation of harvests is an elementary requirement. Besides providing objectivity, the use of …

Jointly assimilating MODIS LAI and ET products into the SWAP model for winter wheat yield estimation

J Huang, H Ma, W Su, X Zhang… - IEEE Journal of …, 2015 - ieeexplore.ieee.org
Leaf area index (LAI) and evapotranspiration (ET) are two crucial biophysical variables
related to crop growth and grain yield. This study presents a crop model-data assimilation …

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 …

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 …