A Satellite-Based Method for National Winter Wheat Yield Estimating in China

Satellite-based models have tremendous potential for monitoring crop production because satellite data can provide temporally and spatially continuous crop growth information at large scale. This study used a satellite-based vegetation production model (i.e., eddy covariance light use efficiency, EC...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yangyang Fu, Jianxi Huang, Yanjun Shen, Shaomin Liu, Yong Huang, Jie Dong, Wei Han, Tao Ye, Wenzhi Zhao, Wenping Yuan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	crop yield light use efficiency gross primary production eddy covariance Science Q
Acceso en línea:	https://doaj.org/article/0a2e396282ec4934bc46a2fbb89d6295
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:0a2e396282ec4934bc46a2fbb89d6295
record_format	dspace
spelling	oai:doaj.org-article:0a2e396282ec4934bc46a2fbb89d62952021-11-25T18:55:20ZA Satellite-Based Method for National Winter Wheat Yield Estimating in China10.3390/rs132246802072-4292https://doaj.org/article/0a2e396282ec4934bc46a2fbb89d62952021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4680https://doaj.org/toc/2072-4292Satellite-based models have tremendous potential for monitoring crop production because satellite data can provide temporally and spatially continuous crop growth information at large scale. This study used a satellite-based vegetation production model (i.e., eddy covariance light use efficiency, EC-LUE) to estimate national winter wheat gross primary production, and then combined this model with the harvest index (ratio of aboveground biomass to yield) to convert the estimated winter wheat production to yield. Specifically, considering the spatial differences of the harvest index, we used a cross-validation method to invert the harvest index of winter wheat among counties, municipalities and provinces. Using the field-surveyed and statistical yield data, we evaluated the model performance, and found the model could explain more than 50% of the spatial variations of the yield both in field-surveyed regions and most administrative units. Overall, the mean absolute percentage errors of the yield are less than 20% in most counties, municipalities and provinces, and the mean absolute percentage errors for the production of winter wheat at the national scale is 4.06%. This study demonstrates that a satellite-based model is an alternative method for crop yield estimation on a larger scale.Yangyang FuJianxi HuangYanjun ShenShaomin LiuYong HuangJie DongWei HanTao YeWenzhi ZhaoWenping YuanMDPI AGarticlecrop yieldlight use efficiencygross primary productioneddy covarianceScienceQENRemote Sensing, Vol 13, Iss 4680, p 4680 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	crop yield light use efficiency gross primary production eddy covariance Science Q
spellingShingle	crop yield light use efficiency gross primary production eddy covariance Science Q Yangyang Fu Jianxi Huang Yanjun Shen Shaomin Liu Yong Huang Jie Dong Wei Han Tao Ye Wenzhi Zhao Wenping Yuan A Satellite-Based Method for National Winter Wheat Yield Estimating in China
description	Satellite-based models have tremendous potential for monitoring crop production because satellite data can provide temporally and spatially continuous crop growth information at large scale. This study used a satellite-based vegetation production model (i.e., eddy covariance light use efficiency, EC-LUE) to estimate national winter wheat gross primary production, and then combined this model with the harvest index (ratio of aboveground biomass to yield) to convert the estimated winter wheat production to yield. Specifically, considering the spatial differences of the harvest index, we used a cross-validation method to invert the harvest index of winter wheat among counties, municipalities and provinces. Using the field-surveyed and statistical yield data, we evaluated the model performance, and found the model could explain more than 50% of the spatial variations of the yield both in field-surveyed regions and most administrative units. Overall, the mean absolute percentage errors of the yield are less than 20% in most counties, municipalities and provinces, and the mean absolute percentage errors for the production of winter wheat at the national scale is 4.06%. This study demonstrates that a satellite-based model is an alternative method for crop yield estimation on a larger scale.
format	article
author	Yangyang Fu Jianxi Huang Yanjun Shen Shaomin Liu Yong Huang Jie Dong Wei Han Tao Ye Wenzhi Zhao Wenping Yuan
author_facet	Yangyang Fu Jianxi Huang Yanjun Shen Shaomin Liu Yong Huang Jie Dong Wei Han Tao Ye Wenzhi Zhao Wenping Yuan
author_sort	Yangyang Fu
title	A Satellite-Based Method for National Winter Wheat Yield Estimating in China
title_short	A Satellite-Based Method for National Winter Wheat Yield Estimating in China
title_full	A Satellite-Based Method for National Winter Wheat Yield Estimating in China
title_fullStr	A Satellite-Based Method for National Winter Wheat Yield Estimating in China
title_full_unstemmed	A Satellite-Based Method for National Winter Wheat Yield Estimating in China
title_sort	satellite-based method for national winter wheat yield estimating in china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0a2e396282ec4934bc46a2fbb89d6295
work_keys_str_mv	AT yangyangfu asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT jianxihuang asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT yanjunshen asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT shaominliu asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT yonghuang asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT jiedong asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT weihan asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT taoye asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT wenzhizhao asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT wenpingyuan asatellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT yangyangfu satellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT jianxihuang satellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT yanjunshen satellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT shaominliu satellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT yonghuang satellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT jiedong satellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT weihan satellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT taoye satellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT wenzhizhao satellitebasedmethodfornationalwinterwheatyieldestimatinginchina AT wenpingyuan satellitebasedmethodfornationalwinterwheatyieldestimatinginchina
_version_	1718410504697806848

A Satellite-Based Method for National Winter Wheat Yield Estimating in China

Ejemplares similares