The Temporal-Stability-Based Irrigation MAPping (TSIMAP) Method: A Virtuous Trade-Off between Accuracy, Flexibility, and Facility for End-Users Article Swipe
Jacopo Dari
,
Renato Morbidelli
,
Pere Quintana‐Seguí
,
Luca Brocca
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/w16050644
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/w16050644
Remote sensing technology is an essential tool for tracking human-induced alterations on the water cycle, among which irrigation prevails. The possibility of obtaining detailed and accurate information on the actual irrigation extent through remote-sensing-based approaches is of paramount importance for water resources management. In this study, an update of the TSIMAP (Temporal-Stability-derived Irrigation MAPping) method, originally developed with satellite soil moisture as an input, is proposed. To demonstrate that the flexibility of the approach does not affect its main strength point (i.e., good accuracy in the face of high simplicity for users), a dual analysis relying on 1 km NDVI (Normalised Difference Vegetation Index) instead of soil moisture is carried out over the Ebro basin (Spain); data delivered by the Copernicus Global Land Service (CGLS) are used. First, results of this work are compared with outcomes from the method’s original implementation obtained over a focus area (denominated “Ebro_CATAR”) through satellite soil moisture. In the proposed configuration relying on NDVI, an overall accuracy (OA) up to 93% is found. Results highlight an increase in OA ranging from +2% to +6% depending on the validation strategy with respect to the TSIMAP implementation relying on soil moisture. Then, a basin-scale application is performed, providing performances still satisfactory (OA = 75%) notwithstanding a higher degree of heterogeneity.
Related Topics
Concepts
Normalized Difference Vegetation Index
Environmental science
Water content
Flexibility (engineering)
Irrigation
Remote sensing
Vegetation (pathology)
Computer science
Satellite
Soil map
Agricultural engineering
Soil water
Soil science
Mathematics
Leaf area index
Engineering
Statistics
Geography
Pathology
Medicine
Aerospace engineering
Biology
Geotechnical engineering
Ecology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/w16050644
- https://www.mdpi.com/2073-4441/16/5/644/pdf?version=1708593637
- OA Status
- gold
- Cited By
- 1
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392032469
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392032469Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/w16050644Digital Object Identifier
- Title
-
The Temporal-Stability-Based Irrigation MAPping (TSIMAP) Method: A Virtuous Trade-Off between Accuracy, Flexibility, and Facility for End-UsersWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-22Full publication date if available
- Authors
-
Jacopo Dari, Renato Morbidelli, Pere Quintana‐Seguí, Luca BroccaList of authors in order
- Landing page
-
https://doi.org/10.3390/w16050644Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4441/16/5/644/pdf?version=1708593637Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-4441/16/5/644/pdf?version=1708593637Direct OA link when available
- Concepts
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Normalized Difference Vegetation Index, Environmental science, Water content, Flexibility (engineering), Irrigation, Remote sensing, Vegetation (pathology), Computer science, Satellite, Soil map, Agricultural engineering, Soil water, Soil science, Mathematics, Leaf area index, Engineering, Statistics, Geography, Pathology, Medicine, Aerospace engineering, Biology, Geotechnical engineering, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
-
55Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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