[HTML][HTML] Assimilation of remote sensing into crop growth models: Current status and perspectives

J Huang, JL Gómez-Dans, H Huang, H Ma… - Agricultural and forest …, 2019 - Elsevier
Timely monitoring of crop lands is important in order to make agricultural activities more
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …

Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation

L Luo, S Sun, J Xue, Z Gao, J Zhao, Y Yin, F Gao… - Agricultural …, 2023 - Elsevier
CONTEXT With the warming trend and the increasing frequency of extreme weather events,
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …

[HTML][HTML] Improvement in land cover and crop classification based on temporal features learning from Sentinel-2 data using recurrent-convolutional neural network (R …

V Mazzia, A Khaliq, M Chiaberge - Applied Sciences, 2019 - mdpi.com
Understanding the use of current land cover, along with monitoring change over time, is vital
for agronomists and agricultural agencies responsible for land management. The increasing …

A review of forest carbon cycle models on spatiotemporal scales

J Zhao, D Liu, Y Zhu, H Peng, H Xie - Journal of Cleaner Production, 2022 - Elsevier
The carbon cycle of forest ecosystems plays an important role in cutting down global
environmental pressure, reducing greenhouse effects, and assimilating carbon dioxide …

Piriformospora indica improves salinity stress tolerance in Zea mays L. plants by regulating Na+ and K+ loading in root and allocating K+ in shoot

P Yun, L Xu, SS Wang, L Shabala, S Shabala… - Plant growth …, 2018 - Springer
Piriformospora indica is known as a fungus that can easily colonize a wide range of plants
and enhance host's growth and tolerance to abiotic stresses, including salinity. The …

Regional winter wheat yield estimation based on the WOFOST model and a novel VW-4DEnSRF assimilation algorithm

S Wu, P Yang, J Ren, Z Chen, H Li - Remote Sensing of Environment, 2021 - Elsevier
To further improve the accuracy of regional crop yield estimation based on data assimilation,
a novel EnSRF assimilation algorithm based on a variable time window and four …

Assimilating remote sensing data into a crop model improves winter wheat yield estimation based on regional irrigation data

N Jin, B Tao, W Ren, L He, D Zhang, D Wang… - Agricultural water …, 2022 - Elsevier
Irrigation plays an important role in crop yield production in arid and semi-arid regions.
However, irrigation effects have not been well addressed in the application of crop models at …

Intercomparison and validation of MODIS and GLASS leaf area index (LAI) products over mountain areas: A case study in southwestern China

H Jin, A Li, J Bian, X Nan, W Zhao, Z Zhang… - International journal of …, 2017 - Elsevier
The validation study of leaf area index (LAI) products over rugged surfaces not only gives
additional insights into data quality of LAI products, but deepens understanding of …

[HTML][HTML] A global systematic review of improving crop model estimations by assimilating remote sensing data: implications for small-scale agricultural systems

L Dlamini, O Crespo, J van Dam, L Kooistra - Remote Sensing, 2023 - mdpi.com
There is a growing effort to use access to remote sensing data (RS) in conjunction with crop
model simulation capability to improve the accuracy of crop growth and yield estimates. This …

Deciding sowing-window for maize-based cropping system in arid and semiarid environments in Punjab, Pakistan

M AHMED, A Rehman, N Sarwar… - Turkish Journal of …, 2023 - journals.tubitak.gov.tr
Crop growth models can be valuable tools for researchers, academia, extension educators,
and policy makers/planners for the evaluation of sustainable and long-term husbandry …