Monitoring African water bodies from twice-daily MODIS observation
Building on the availability of high revisit frequency Earth Observation satellites at medium spatial resolution (250 m), this study investigates the feasibility of temporal monitoring of water bodies at a continental scale with MODIS. A 2004–2010 time series of twice-daily observations covering the...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2018-01-01
|
| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/15481603.2017.1366677 |
| _version_ | 1827811771324301312 |
|---|---|
| author | Raphaël d’Andrimont Pierre Defourny |
| author_facet | Raphaël d’Andrimont Pierre Defourny |
| author_sort | Raphaël d’Andrimont |
| collection | DOAJ |
| description | Building on the availability of high revisit frequency Earth Observation satellites at medium spatial resolution (250 m), this study investigates the feasibility of temporal monitoring of water bodies at a continental scale with MODIS. A 2004–2010 time series of twice-daily observations covering the whole African continent was systematically processed using a surface water detection method to derive 10-day indicators describing the location, the intra- and inter-annual variability as well as the temporal characterization of water bodies (i.e. seasonal or permanent water and maximum extent). The multispectral surface reflectance transformation in the HSV color space allows a per-pixel identification of surface water. The water aggregation time indicator provides the water occurrence for each 10-day period built from the seven years of observations. The cartographic products were successfully cross-validated with already existing maps and water products. The validation of the water body maximum extent map estimates the commission error at less than 6% and the seasonality information was also found to be consistent with the Köppen climatic classification. |
| first_indexed | 2024-03-11T23:09:20Z |
| format | Article |
| id | doaj.art-4bd2f3392dd9414093e19d80f1b16a23 |
| institution | Directory Open Access Journal |
| issn | 1548-1603 1943-7226 |
| language | English |
| last_indexed | 2024-03-11T23:09:20Z |
| publishDate | 2018-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj.art-4bd2f3392dd9414093e19d80f1b16a232023-09-21T12:34:14ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262018-01-0155113015310.1080/15481603.2017.13666771366677Monitoring African water bodies from twice-daily MODIS observationRaphaël d’Andrimont0Pierre Defourny1Université catholique de LouvainUniversité catholique de LouvainBuilding on the availability of high revisit frequency Earth Observation satellites at medium spatial resolution (250 m), this study investigates the feasibility of temporal monitoring of water bodies at a continental scale with MODIS. A 2004–2010 time series of twice-daily observations covering the whole African continent was systematically processed using a surface water detection method to derive 10-day indicators describing the location, the intra- and inter-annual variability as well as the temporal characterization of water bodies (i.e. seasonal or permanent water and maximum extent). The multispectral surface reflectance transformation in the HSV color space allows a per-pixel identification of surface water. The water aggregation time indicator provides the water occurrence for each 10-day period built from the seven years of observations. The cartographic products were successfully cross-validated with already existing maps and water products. The validation of the water body maximum extent map estimates the commission error at less than 6% and the seasonality information was also found to be consistent with the Köppen climatic classification.http://dx.doi.org/10.1080/15481603.2017.1366677water bodytemporal seriesremote sensingmedium resolutionglobal |
| spellingShingle | Raphaël d’Andrimont Pierre Defourny Monitoring African water bodies from twice-daily MODIS observation GIScience & Remote Sensing water body temporal series remote sensing medium resolution global |
| title | Monitoring African water bodies from twice-daily MODIS observation |
| title_full | Monitoring African water bodies from twice-daily MODIS observation |
| title_fullStr | Monitoring African water bodies from twice-daily MODIS observation |
| title_full_unstemmed | Monitoring African water bodies from twice-daily MODIS observation |
| title_short | Monitoring African water bodies from twice-daily MODIS observation |
| title_sort | monitoring african water bodies from twice daily modis observation |
| topic | water body temporal series remote sensing medium resolution global |
| url | http://dx.doi.org/10.1080/15481603.2017.1366677 |
| work_keys_str_mv | AT raphaeldandrimont monitoringafricanwaterbodiesfromtwicedailymodisobservation AT pierredefourny monitoringafricanwaterbodiesfromtwicedailymodisobservation |