Regional Wheat Yield Estimation by Integration of Remotely Sensed Soil Moisture into a Crop Model-Reference-Cited by-同舟云学术

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Regional Wheat Yield Estimation by Integration of Remotely Sensed Soil Moisture into a Crop Model

Published:2019-11-02 Issue:6 Volume:45 Page:770-781
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Fahad Muhammad¹,Ahmad Ishfaq²,Rehman Mariam³,Waqas Muhammad Mohsin⁴,Gul Farhana⁵

Affiliation:

1. Department of Agronomy, PMAS Arid Agriculture University, Rawalpindi, Pakistan;

2. Centre for Climate Research & Development, COMSATS University Islamabad, Islamabad, Pakistan;

3. Department of Information Technology, Government College University, Faisalabad, Pakistan;

4. Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan;

5. Department of Agriculture, University of Swabi, Swabi, Pakistan

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2019.1692651

Reference52 articles.

1. Yield Forecasting of Spring Maize Using Remote Sensing and Crop Modeling in Faisalabad-Punjab Pakistan

2. Optimizing irrigation and nitrogen requirements for maize through empirical modeling in semi-arid environment

3. Assessing the impact of climate variability on maize using simulation modeling under semi-arid environment of Punjab, Pakistan

4. WheatPot: A simple model for spring wheat yield potential using monthly weather data

5. A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: Application to soybean

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1. Monitoring Soybean Soil Moisture Content Based on UAV Multispectral and Thermal-Infrared Remote-Sensing Information Fusion;Plants;2024-08-29

2. Mechanisms and modelling approaches for excessive rainfall stress on cereals: Waterlogging, submergence, lodging, pests and diseases;Agricultural and Forest Meteorology;2024-01

3. A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems;Remote Sensing;2023-08-17

4. Physiological and biochemical approaches for mitigating the effect of abiotic stresses in wheat;Abiotic Stresses in Wheat;2023

5. Downscaling CLDAS Soil Moisture Product by Integrating Sentinel-1 and Sentinel-2 Data over Agricultural Area;Canadian Journal of Remote Sensing;2022-08-25

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