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Cited by 497

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A model of regional primary production for use with coarse resolution satellite data

PRINCE, S. D.·1991·International Journal of Remote Sensing

Abstract

A model of crop primary production, which was originally developed to relate the amount of absorbed photosynthetically active radiation (APAR) to net production in field studies, is discussed in the context of coarse resolution regional remote sensing of primary production. The model depends on an approximately linear relationship between APAR and the normalized difference vegetation index. A more comprehensive form of the conventional model is shown to be necessary when different physiological types of plants or heterogeneous vegetation types occur within the study area. The predicted variable in the new model is total assimilation (net production plus respiration) rather than net production alone or harvest yield.

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Crossref · 10.1080/01431169108929728

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Metadata

Authors
PRINCE, S. D.
Venue
International Journal of Remote Sensing
Published
1991-06
Volume
12
Issue
6
Pages
1313-1330
ISSN
  • 0143-1161 (ISSN-L)
  • 1366-5901
OpenAlex
W1978869941
Cited by
497
References
2
FWCI
30.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A model of regional primary production for use with coarse resolution satellite data. https://app.cochat.ai/papers/10.1080/01431169108929728
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PRINCE, S. D. (1991). A model of regional primary production for use with coarse resolution satellite data. International Journal of Remote Sensing. https://doi.org/10.1080/01431169108929728

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.