MODIS-based remote sensing monitoring of grass production in China
Abstract
Monitoring grassland production is of great importance for utilizing and administering grassland, developing pasturage and improving the ecological environment. Using Moderate Resolution Imaging Spectroradiometer (MODIS) data and ground truth data for the six grassland regions of China, regional models were established to estimate the grassland production in 2005. The Normalized Difference Vegetation Index (NDVI) was first computed from the MODIS data. Ground truth data were obtained from a large‐scale field investigation in 2005. The following results were obtained: (1) total hay output from the grassland in China was 294 214 thousand tons in 2005, with an average yield of 830 kg/ha. (2) There were three regions with high grass productivity in 2005: the grassland covering Hulunbuir, Xilinhaote and the western Daxing'anling; the region including eastern Qinghai, northwestern Sichuan and mid‐southern Gansu; and the northwestern Xinjiang region. (3) Grassland production for the whole of China in August 2005 remained at the same level as that in August 2004. However, the situation in the major grassland provinces was different: grass production in 2005 in both Qinghai and Gansu increased by 9% and 4%, respectively, when compared with that in 2004. Grass production in Inner Mongolia decreased by 3%, while the production in Liaoning, Xinjiang and Sichuan remained unchanged in comparison to that in 2004. (4) The models based on the six regions are the most suitable for monitoring g…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
NDVI may be underestimating the true productivity of pastures with correlation coefficients between NDVI and measured grass yields typically being between 0.6 and 0.8.
“It is important to recognize that NDVI may be underestimating the true productivity of pastures with correlation coefficients between NDVI and measured grass yields typically being between 0.6 and 0.8 [54].”
From Impacts of Rotational Grazing on Soil Carbon in Native Grass-Based Pastures in Southern Australia (2015) · cites this paper as [54]
Cited by
Sorted by citations
Impacts of Rotational Grazing on Soil Carbon in Native Grass-Based Pastures in Southern Australia
Sanderman, J., Reseigh, J., Wurst, M., Young, M.-A., & Austin, J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0136157 · Cited by 67 · see citing works
- Authors
- Xu, B., Yang, X. C., Tao, W. G., Qin, Z. H., Liu, H. Q., Miao, J. M., & Bi, Y. Y.
- Affiliations
- Institute of Agricultural Resources and Regional Planning (CN)
- b Centre of Remote Sensing Application , Ministry of Agriculture , Nongzhanguan Nanli 11, Beijing 100026, China
- Ministry of Agriculture and Rural Affairs (CN)
- Corresponding author
- Xu, B.
- ORCID
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2008-09
- Volume
- 29
- Issue
- 17-18
- Pages
- 5313-5327
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W1972023766
- Cited by
- 82
- References
- 0
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 8 · 2023: 6 · 2022: 7 · 2021: 5 · 2020: 8 · 2019: 6 · 2018: 5 · 2017: 3 · 2016: 2 · 2015: 4 · 2014: 4 · 2013: 6 · 2012: 2
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Remote Sensing (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Rangeland Management and Livestock Ecology
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Keywords
- grassland production, NDVI, MODIS, grassland monitoring, pasture grazing, grassland, China
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review