Remote sensing of crop production in China by production efficiency models

Models comparisons, estimates and uncertainties

Fulu Tao, Masayuki Yokosawa, Zhao Zhang, Yinlong Xu, Yousay Hayashi

Research output: Contribution to journalArticle

87 Citations (Scopus)

Abstract

Regional estimates or prediction of crop production is critical for many applications such as agricultural lands management, food security warning system, food trade policy and carbon cycle research. Remote sensing offers great potential for regional production monitoring and estimates, yet uncertainties associated with are rarely addressed. Moreover, although crops are one of critical biomes in global carbon cycle research, few evidences are available on the performance of global models of terrestrial net primary productivity (NPP) in estimating regional crop NPP. In this study, we use high quality weather and crop data to calibrate model parameter, validate and compare two kinds of remote sensing based production efficiency models, i.e. the Carnegie-Ames-Stanford- Approach (CASA) and Global Production Efficiency Model Version 2.0 (GLO-PEM2), in estimating maize production across China. Results show that both models intend to underestimate maize yields, although they also overestimate maize yields much at some regions. There are no significant differences between the results from CASA and GLO-PEM2 models in terms of both estimated production and spatial pattern. CASA model simulates better in the areas with dense crop and weather data for calibration. Otherwise GLO-PEM2 model does better. Whether the water soil-moisture down-regulator is used or not should depend on the percent of irrigation lands at the regions. The improved and validated models can be used for many applications. Further improvement can be expected by increasing remote sensing image resolution and the number of surface data stations.

Original languageEnglish
Pages (from-to)385-396
Number of pages12
JournalEcological Modelling
Volume183
Issue number4
DOIs
Publication statusPublished - 2005 May 10
Externally publishedYes

Fingerprint

crop production
remote sensing
crop
maize
carbon cycle
comparison
weather
productivity
warning system
trade policy
image resolution
biome
food security
land management
agricultural land
soil moisture
irrigation
calibration
food
monitoring

Keywords

  • Crop yield
  • Food security warning system
  • Global biogeochemical model
  • Light use efficiency
  • NPP

ASJC Scopus subject areas

  • Ecological Modelling

Cite this

Remote sensing of crop production in China by production efficiency models : Models comparisons, estimates and uncertainties. / Tao, Fulu; Yokosawa, Masayuki; Zhang, Zhao; Xu, Yinlong; Hayashi, Yousay.

In: Ecological Modelling, Vol. 183, No. 4, 10.05.2005, p. 385-396.

Research output: Contribution to journalArticle

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