The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US
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Citations
Cites
The Measurement of Observer Agreement for Categorical Data
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Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Very high resolution interpolated climate surfaces for global land areas
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005) · International Journal of Climatology · doi:10.1002/joc.1276 · Cited by 19,825
Red and photographic infrared linear combinations for monitoring vegetation
Tucker, C. J. (1979) · Remote Sensing of Environment · doi:10.1016/0034-4257(79)90013-0 · Cited by 11,754
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
Global Water Resources: Vulnerability from Climate Change and Population Growth
Vörösmarty, C. J., Green, P., Salisbury, J., & Lammers, R. B. (2000) · Science · doi:10.1126/science.289.5477.284 · Cited by 5,036
Gitelson, A. A., Gritz †, Y., & Merzlyak, M. N. (2003) · Journal of Plant Physiology · doi:10.1078/0176-1617-00887 · Cited by 2,683
Global land cover mapping from MODIS: algorithms and early results
Friedl, M. A., McIver, D. K., Hodges, J. C. F., Zhang, X. Y., Muchoney, D., Strahler, A. H., Woodcock, C. E., Gopal, S., Schneider, A., Cooper, A., et al. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00078-0 · Cited by 2,676
Cited by
Groundwater use for irrigation – a global inventory
Siebert, S., Burke, J., Faures, J. M., Frenken, K., Hoogeveen, J., Döll, P., & Portmann, F. T. (2010) · Hydrology and Earth System Sciences · doi:10.5194/hess-14-1863-2010 · Cited by 2,047
A global data set of the extent of irrigated land from 1900 to 2005
Siebert, S., Kummu, M., Porkka, M., Döll, P., Ramankutty, N., & Scanlon, B. R. (2015) · Hydrology and Earth System Sciences · doi:10.5194/hess-19-1521-2015 · Cited by 519
Challenges and opportunities in mapping land use intensity globally
Kuemmerle, T., Erb, K., Meyfroidt, P., Müller, D., Verburg, P. H., Estel, S., Haberl, H., Hostert, P., Jepsen, M. R., Kastner, T., et al. (2013) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2013.06.002 · Cited by 381
Drought effects on US maize and soybean production: spatiotemporal patterns and historical changes
Zipper, S. C., Qiu, J., & Kucharik, C. J. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/9/094021 · Cited by 331
Wisser, D., Frolking, S., Douglas, E. M., Fekete, B. M., Vörösmarty, C. J., & Schumann, A. H. (2008) · Geophysical Research Letters · doi:10.1029/2008gl035296 · Cited by 320
Metadata
- Authors
- Ozdogan, M., & Gutman, G.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 112
- Issue
- 9
- Pages
- 3520-3537
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2155289042
- Cited by
- 305
- References
- 55
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- This page
- CoChat. (2026). Citation check: A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US. https://app.cochat.ai/papers/10.1016/j.rse.2008.04.010
- The paper
- Ozdogan, M., & Gutman, G. (2008). A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2008.04.010
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.
