The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Limits to detectability of land degradation by trend analysis of vegetation index data
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
An analysis of variance test for normality (complete samples)
SHAPIRO, S. S., & WILK, M. B. (1965) · Biometrika · doi:10.1093/biomet/52.3-4.591 · Cited by 23,480
A Simple Test for Heteroscedasticity and Random Coefficient Variation
Breusch, T. S., & Pagan, A. R. (1979) · Econometrica · doi:10.2307/1911963 · Cited by 5,647
The vegetation of South Africa, Lesotho and Swaziland.
Mucina, L., & Rutherford, M. C. (2006) · Murdoch University Research Portal · Cited by 3,012
Global Desertification: Building a Science for Dryland Development
Reynolds, J. F., Smith, D. M. S., Lambin, E. F., Turner, B. L., Mortimore, M., Batterbury, S. P. J., Downing, T. E., Dowlatabadi, H., Fernández, R. J., Herrick, J. E., et al. (2007) · Science · doi:10.1126/science.1131634 · Cited by 2,916
Ecosystems and human well-being: current state and trends
Hassan, R., Scholes, R. J., & Ash, N. (2005) · Cited by 2,582
Self-citationAn extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data
Tucker, C. J., Pinzon, J. E., Brown, M. E., Slayback, D. A., Pak, E. W., Mahoney, R., Vermote, E. F., & El Saleous, N. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160500168686 · Cited by 2,305
Yue, S., Pilon, P., & Cavadias, G. (2002) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00594-7 · Cited by 2,072
Detecting trend and seasonal changes in satellite image time series
Verbesselt, J., Hyndman, R., Newnham, G., & Culvenor, D. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.08.014 · Cited by 1,847
A Nonparametric Trend Test for Seasonal Data With Serial Dependence
Hirsch, R. M., & Slack, J. R. (1984) · Water Resources Research · doi:10.1029/wr020i006p00727 · Cited by 1,658
Cited by
Mapping the world's degraded lands
Gibbs, H. K., & Salmon, J. M. (2015) · Applied Geography · doi:10.1016/j.apgeog.2014.11.024 · Cited by 753
Environmental and Anthropogenic Degradation of Vegetation in the Sahel from 1982 to 2006
Rishmawi, K., & Prince, S. (2016) · Remote Sensing · doi:10.3390/rs8110948 · Cited by 25
Metadata
- Authors
- Wessels, K. J., van den Bergh, F., & Scholes, R. J.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 125
- Pages
- 10-22
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2076848864
- Cited by
- 309
- References
- 60
- FWCI
- 13.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Limits to detectability of land degradation by trend analysis of vegetation index data. https://app.cochat.ai/papers/10.1016/j.rse.2012.06.022
- The paper
- Wessels, K. J., van den Bergh, F., & Scholes, R. J. (2012). Limits to detectability of land degradation by trend analysis of vegetation index data. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2012.06.022
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.
