Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite-Reference-Cited by-同舟云学术

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Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite

Published:2021-01-02 Issue:1 Volume:58 Page:1-27
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Yeom Jong-Min¹,Jeong Seungtaek¹,Deo Ravinesh C²,Ko Jonghan³

Affiliation:

1. Satellite Information Center, Korea Aerospace Research Institute, Yuseong-gu, Daejeon, Republic of Korea

2. School of Sciences, University of Southern Queensland, Springfield, QLD Australia

3. Applied Plant Science, Chonnam National University, Buk-gu, Gwangju Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2020.1853352

Reference79 articles.

1. Measuring Food Insecurity

2. Identifying trends and associated uncertainties in potential rice production under climate change in Mediterranean areas

3. Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.

4. Climatic determinants of irrigated rice performance in the Sahel — II. Validation of photothermal constants and characterization of genotypes

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1. Estimating Methane Emissions in Rice Paddies at the Parcel Level Using Drone-Based Time Series Vegetation Indices;Drones;2024-09-04

2. An automatic rice mapping method based on an integrated time-series gradient boosting tree using GF-6 and sentinel-2 images;GIScience & Remote Sensing;2024-06-13

3. Assessing the spatial distribution patterns of suitable inland valleys for rice development: A case study of two contrasting regions in Benin;Modeling Earth Systems and Environment;2024-05-17

4. Combining machine learning and remote sensing-integrated crop modeling for rice and soybean crop simulation;Frontiers in Plant Science;2024-02-12

5. Optimizing Rice Field Mapping in the Northern Region of China: An Asynchronous Flooding Signal and Object-Based Method;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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