Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR
Maps describing the eco-hydrology of inland wetland systems in Africa are needed to identify and implement appropriate adaptive management plans related to land use and land cover. Many African countries lack regional baseline information on the temporal extent, distribution and characteristics of wetlands. This information is provided here in the form of maps which characterize two wetland sites of international importance in Malawi and Mozambique. Multi-temporal L-band Synthetic Aperture Radar (SAR) datasets are combined with Landsat Thematic Mapper and ASTER images, digital elevation models, and vegetation species data to provide information on wetland ecology and hydrology. These data were used as input to a hybrid, Decision Tree classifier and a Principal Components Analysis classification approach to produce maps depicting the spatial distribution of vegetation species and characterizing the wetland dynamics. The maps exhibit classification accuracies of 89% and 84% for the two sites respectively. The L-band SAR datasets have proved to be an essential information source in the production of these maps due to i) frequent cloud cover/smoke which reduces the temporal coverage of optical data, and ii) a systematic observation strategy and frequent image acquisition which enables characterization of the flood dynamics at a high temporal resolution.
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Format: | Journal Article biblioteca |
Language: | English |
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Institute of Electrical and Electronics Engineers
2010-12
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Subjects: | ecology, hydrology, wetlands, ecosystems, remote sensing, maps, vegetation, monitoring, |
Online Access: | https://hdl.handle.net/10568/40540 https://doi.org/10.1109/JSTARS.2010.2070060 |
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dig-cgspace-10568-405402023-12-08T19:36:04Z Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR Rebelo, Lisa-Maria ecology hydrology wetlands ecosystems remote sensing maps vegetation monitoring Maps describing the eco-hydrology of inland wetland systems in Africa are needed to identify and implement appropriate adaptive management plans related to land use and land cover. Many African countries lack regional baseline information on the temporal extent, distribution and characteristics of wetlands. This information is provided here in the form of maps which characterize two wetland sites of international importance in Malawi and Mozambique. Multi-temporal L-band Synthetic Aperture Radar (SAR) datasets are combined with Landsat Thematic Mapper and ASTER images, digital elevation models, and vegetation species data to provide information on wetland ecology and hydrology. These data were used as input to a hybrid, Decision Tree classifier and a Principal Components Analysis classification approach to produce maps depicting the spatial distribution of vegetation species and characterizing the wetland dynamics. The maps exhibit classification accuracies of 89% and 84% for the two sites respectively. The L-band SAR datasets have proved to be an essential information source in the production of these maps due to i) frequent cloud cover/smoke which reduces the temporal coverage of optical data, and ii) a systematic observation strategy and frequent image acquisition which enables characterization of the flood dynamics at a high temporal resolution. 2010-12 2014-06-13T14:47:52Z 2014-06-13T14:47:52Z Journal Article Rebelo, Lisa-Maria. 2010. Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3(4):554-559. doi: http://dx.doi.org/10.1109/JSTARS.2010.2070060 1939-1404 https://hdl.handle.net/10568/40540 https://doi.org/10.1109/JSTARS.2010.2070060 en Limited Access Institute of Electrical and Electronics Engineers |
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ecology hydrology wetlands ecosystems remote sensing maps vegetation monitoring ecology hydrology wetlands ecosystems remote sensing maps vegetation monitoring Rebelo, Lisa-Maria Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR |
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Maps describing the eco-hydrology of inland wetland systems in Africa are needed to identify and implement appropriate adaptive management plans related to land use and land cover. Many African countries lack regional baseline information on the temporal extent, distribution and characteristics of wetlands. This information is provided here in the form of maps which characterize two wetland sites of international importance in Malawi and Mozambique. Multi-temporal L-band Synthetic Aperture Radar (SAR) datasets are combined with Landsat Thematic Mapper and ASTER images, digital elevation models, and vegetation species data to provide information on wetland ecology and hydrology. These data were used as input to a hybrid, Decision Tree classifier and a Principal Components Analysis classification approach to produce maps depicting the spatial distribution of vegetation species and characterizing the wetland dynamics. The maps exhibit classification accuracies of 89% and 84% for the two sites respectively. The L-band SAR datasets have proved to be an essential information source in the production of these maps due to i) frequent cloud cover/smoke which reduces the temporal coverage of optical data, and ii) a systematic observation strategy and frequent image acquisition which enables characterization of the flood dynamics at a high temporal resolution. |
format |
Journal Article |
topic_facet |
ecology hydrology wetlands ecosystems remote sensing maps vegetation monitoring |
author |
Rebelo, Lisa-Maria |
author_facet |
Rebelo, Lisa-Maria |
author_sort |
Rebelo, Lisa-Maria |
title |
Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR |
title_short |
Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR |
title_full |
Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR |
title_fullStr |
Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR |
title_full_unstemmed |
Eco-hydrological characterization of inland wetlands in Africa using L-Band SAR |
title_sort |
eco-hydrological characterization of inland wetlands in africa using l-band sar |
publisher |
Institute of Electrical and Electronics Engineers |
publishDate |
2010-12 |
url |
https://hdl.handle.net/10568/40540 https://doi.org/10.1109/JSTARS.2010.2070060 |
work_keys_str_mv |
AT rebelolisamaria ecohydrologicalcharacterizationofinlandwetlandsinafricausinglbandsar |
_version_ |
1787230098470993920 |