Improving crop yield estimation by applying higher resolution satellite NDVI imagery and high-resolution cropland masks

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2022.100693 ◽

2022 ◽

pp. 100693

Author(s):

Mitchell Roznik ◽

Milton Boyd ◽

Lysa Porth

Keyword(s):

High Resolution ◽

Yield Estimation

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Assessment of O3-induced crop yield losses in northern China during 2013-2018 using high-resolution air quality reanalysis data

Atmospheric Environment ◽

10.1016/j.atmosenv.2021.118527 ◽

2021 ◽

pp. 118527

Author(s):

Can Dong ◽

Rui Gao ◽

Xin Zhang ◽

Hong Li ◽

Wenxing Wang ◽

...

Keyword(s):

Air Quality ◽

High Resolution ◽

Northern China ◽

Reanalysis Data ◽

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A Remote Sensing Based Approach for Optimizing the Sampling Strategies in Crop Monitoring and Crop Yield Estimation Studies

Southern Space Studies - Earth Observations and Geospatial Science in Service of Sustainable Development Goals ◽

10.1007/978-3-030-16016-6_3 ◽

2019 ◽

pp. 25-36

Author(s):

Babacar Ndao ◽

Louise Leroux ◽

Abdoul Aziz Diouf ◽

Valerie Soti ◽

Bienvenu Sambou

Keyword(s):

Remote Sensing ◽

Sampling Strategies ◽

Yield Estimation ◽

Crop Monitoring

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Improving crop yield estimation by assimilating LAI and inputting satellite-based surface incoming solar radiation into SWAP model

Agricultural and Forest Meteorology ◽

10.1016/j.agrformet.2017.12.250 ◽

2018 ◽

Vol 250-251 ◽

pp. 159-170 ◽

Author(s):

Ali Mokhtari ◽

Hamideh Noory ◽

Majid Vazifedoust

Keyword(s):

Solar Radiation ◽

Yield Estimation ◽

Incoming Solar Radiation ◽

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Crop yield estimation using satellite images: comparison of linear and non-linear models

Agriscientia ◽

10.31047/1668.298x.v1.n35.20447 ◽

2018 ◽

Vol 1 (35) ◽

pp. 1 ◽

Author(s):

S. Sayago ◽

M. Bocco

Keyword(s):

Satellite Images ◽

Linear Models ◽

Yield Estimation ◽

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Multispectral remote sensing for yield estimation using high-resolution imagery from an unmanned aerial vehicle

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping III ◽

10.1117/12.2305888 ◽

2018 ◽

Author(s):

Mahyar Aboutalebi ◽

Alfonso F. Torres-Rua ◽

Niel Allen

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Unmanned Aerial Vehicle ◽

Yield Estimation ◽

High Resolution Imagery ◽

Aerial Vehicle ◽

Multispectral Remote Sensing

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Date Palm Crop Yield Estimation – A Framework

International Journal of Innovative Research in Computer Science & Technology ◽

10.21276/ijircst.2019.7.6.1 ◽

2019 ◽

Vol 7 (6) ◽

pp. 143-146

Author(s):

Dr. Mohammad Husain ◽

Dr. Rafi Ahmad Khan

Keyword(s):

Date Palm ◽

Yield Estimation

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Meta-analysis of influential factors on crop yield estimation by remote sensing

International Journal of Remote Sensing ◽

10.1080/01431161.2014.890761 ◽

2014 ◽

Vol 35 (6) ◽

pp. 2267-2295 ◽

Author(s):

Jing Huang ◽

Dawei Han

Keyword(s):

Remote Sensing ◽

Meta Analysis ◽

Influential Factors ◽

Yield Estimation

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Towards crop yield estimation at a finer spatial resolution using machine learning methods over agricultural regions

Theoretical and Applied Climatology ◽

10.1007/s00704-021-03799-3 ◽

2021 ◽

Author(s):

Dehai Liao ◽

Jun Niu ◽

Na Lu ◽

Qianxi Shen

Keyword(s):

Machine Learning ◽

Spatial Resolution ◽

Yield Estimation ◽

Learning Methods ◽

Machine Learning Methods ◽

Agricultural Regions

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Cotton Yield Estimation Using Very High-Resolution Digital Images Acquired with a Low-Cost Small Unmanned Aerial Vehicle

Transactions of the ASABE ◽

10.13031/trans.59.11831 ◽

2016 ◽

Vol 59 (6) ◽

pp. 1563-1574 ◽

Keyword(s):

High Resolution ◽

Unmanned Aerial Vehicle ◽

Digital Images ◽

Low Cost ◽

Cotton Yield ◽

Yield Estimation ◽

Aerial Vehicle ◽

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Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches

Agricultural and Forest Meteorology ◽

10.1016/j.agrformet.2017.08.001 ◽

2017 ◽

Vol 247 ◽

pp. 207-220 ◽

Author(s):

Zhenong Jin ◽

George Azzari ◽

David B. Lobell

Keyword(s):

High Resolution ◽

Yield Estimation

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