The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Application of Remote Sensing in Water Resource Management: The Case Study of Lake Trasimeno, Italy
Overview
Integrity signals
Registry
Cites
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Verification
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?
In the citing paper
“Remote sensing can accurately measure certain catchment characteristics (e.g., land cover, productivity), physical properties (e.g., surface area, turbidity), and biological properties (e.g., aquatic macrophyte coverage) of freshwater environments across large spatiotemporal scales in a cost-effective and standardized manner (Giardino et al. 2010).”
From Pond ecology and conservation: research priorities and knowledge gaps (2021) · cites this paper as Giardino et al. 2010
Citations
Cites
International Organization for Standardization
Gargaud, M., Irvine, W. M., Amils, R., Pinti, D. L., Cernicharo, J., Rouan, D., Spohn, T., Tirard, S., & Viso, M. (2015) · Encyclopedia of Astrobiology · doi:10.1007/978-3-662-44185-5_100574 · Cited by 6,716
Haralick, R. M., & Shapiro, L. G. (1985) · Computer Vision, Graphics, and Image Processing · doi:10.1016/s0734-189x(85)90153-7 · Cited by 2,253
Review ArticleDigital change detection methods in ecosystem monitoring: a review
Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., & Lambin, E. (2004) · International Journal of Remote Sensing · doi:10.1080/0143116031000101675 · Cited by 2,100
Chavez, P. S. (1988) · Remote Sensing of Environment · doi:10.1016/0034-4257(88)90019-3 · Cited by 1,847
The Structuring Role of Submerged Macrophytes in Lakes
(1998) · Ecological Studies · doi:10.1007/978-1-4612-0695-8 · Cited by 1,345
Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water
Simis, S. G. H., Peters, S. W. M., & Gons, H. J. (2005) · Limnology and Oceanography · doi:10.4319/lo.2005.50.1.0237 · Cited by 520
Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing
Kutser, T. (2004) · Limnology and Oceanography · doi:10.4319/lo.2004.49.6.2179 · Cited by 402
Mapping lake CDOM by satellite remote sensing
Kutser, T., Pierson, D. C., Kallio, K. Y., Reinart, A., & Sobek, S. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.11.009 · Cited by 332
Diffuse attenuation coefficient of downwelling irradiance: An evaluation of remote sensing methods
Lee, Z., Darecki, M., Carder, K. L., Davis, C. O., Stramski, D., & Rhea, W. J. (2005) · Journal of Geophysical Research Atmospheres · doi:10.1029/2004jc002573 · Cited by 318
A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data
Brando, V., Anstee, J. M., Wettle, M., Dekker, A. G., Phinn, S., & Roelfsema, C. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.12.003 · Cited by 310
Research works printed but not linked: 6
- Cingolani L, Marchetti G, Martinelli A, Rapi G, Cantucci A (2005a) Misure per il contenimento del carico diffuso nel Piano di Tutela delle acque della Regione Umbria. 2nd Int. Conf. LIFE. Libri ARPA Umbria, Italy
- Cingolani L, Padula R, Di Brizio M, Ciccarelli E (2007) Eutrofizzazione del Lago Trasimeno: il problema delle fioriture algali. 14th Conf. Igiene Industriale. Corvara, Italy
- Giardino C, Bresciani M, Brando VE, Dekker AG (2008) Observations of the largest Italian lakes from MERIS. 2nd MERIS/(A)ATSR User Workshop, Frascati, Italy, (ESA SP-666, November 2008)
- Natali M (1993) The fish fauna of the Trasimeno Lake. Provincia di Perugia, Italy
- Rouse JWR, Haas H, Schell JA, Deering DW (1973) Monitoring vegetation systems in the Great Plains with ERTS. Third ERTS Symposium, NASA SP-351 I:309–317
- Wetzel RG (1983) Wetzel, limnology. In: Saunders College Publishing, Philadelphia, p 767
Cited by
Pond ecology and conservation: research priorities and knowledge gaps
Hill, M. J., Greaves, H. M., Sayer, C. D., Hassall, C., Milin, M., Milner, V. S., Marazzi, L., Hall, R., Harper, L. R., Thornhill, I., et al. (2021) · Ecosphere · doi:10.1002/ecs2.3853 · Cited by 156
“…characteristics (e.g., land cover, productivity), physical properties (e.g., surface area, turbidity), and biological properties (e.g., aquatic macrophyte coverage) of freshwater environments across large spatiotemporal scales in a cost-effective and standardized manner (Giardino et al. 2010).”
Background
Metadata
- Authors
- Giardino, C., Bresciani, M., Villa, P., & Martinelli, A.
- Affiliations
- Istituto per il Rilevamento Elettromagnetico dell'Ambiente (IT)
- Agenzia Regionale per la Protezione Ambientale dell'Umbria (IT)
- Corresponding author
- Bresciani, Mariano
- Venue
- Water Resources Management
- Published
- 2010-04-13
- Volume
- 24
- Issue
- 14
- Pages
- 3885-3899
- ISSN
- 0920-4741 (ISSN-L)
- 1573-1650
- OpenAlex
- W2091511254
- Cited by
- 187
- References
- 27
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 22 · 2023: 14 · 2022: 16 · 2021: 16 · 2020: 10 · 2019: 16 · 2018: 11 · 2017: 15 · 2016: 14 · 2015: 7 · 2014: 6 · 2013: 10 · 2012: 7
- FWCI
- 5.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Water Resources Management (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- European Space Agency
- Advanced Research Projects Agency
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
- Physical Sciences › Environmental Science › Water Science and Technology › Water Quality Monitoring Technologies
- Physical Sciences › Environmental Science › Water Science and Technology › Water Quality and Pollution Assessment
- Keywords
- Lake Trasimeno, lake water quality monitoring, chlorophyll a, Secchi depth, surface water temperature, total suspended matter, MERIS, MODIS, land cover change, eutrophication, water level, water resources management
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 ›
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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.
