Monitoring of seasonal flooding in the Okavango Delta using EO-1 data

  title={Monitoring of seasonal flooding in the Okavango Delta using EO-1 data},
  author={Amy L. Neuenschwander and Melba M. Crawford and Susan Ringrose},
  journal={IEEE International Geoscience and Remote Sensing Symposium},
  pages={3124-3126 vol.6}
Located in northwestern Botswana and fed by the Okavango River originating in Angola's western highlands, the Okavango Delta is the world's largest inland delta. The floodwaters require approximately nine months to flow from the source to the bottom of the Delta due to the extremely low topographic relief. During the peak of flooding, the delta's area can expand to over 16,000 square kilometers, almost doubling the 9,000 square kilometers during the dry season. Investigation of the hydrologic… 

Figures and Tables from this paper

Regional review: the hydrology of the Okavango Delta, Botswana—processes, data and modelling
The wetlands of the Okavango Delta accommodate a multitude of ecosystems with a large diversity in fauna and flora. They not only provide the traditional livelihood of the local communities but are
Perceptions of tourism operators towards adaptations to climate change in naturebased tourism: the quest for sustainable tourism in Botswana
The effects of climate change have become increasingly evident, and have been the subject of discussion in the Southern African context recently. How climate change impacts on the tourism sector is
Wetlands: Remote Sensing
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images
Results indicate that the Fourier scattering transform is highly effective at representing spectral data when compared with other state-of-the-art spectral-spatial classification methods.
Scattering transforms and classification of hyperspectral images
A spatial-spectral scattering transform that combines Wavelet and Fourier representations is presented that obtains significantly higher classification accuracies and the results indicate that the Fourier scattering transform is effective at representing spectral data.
Unsupervised Data Driven Feature Extraction by Means of Mutual Information Maximization
  • A. MarinoniP. Gamba
  • Computer Science, Environmental Science
    IEEE Transactions on Computational Imaging
  • 2017
A new unsupervised approach for feature extraction, based on data driven discovery, is introduced for accurate classification of remotely sensed data and exploits mutual information maximization in order to retrieve the most relevant features with respect to information measures.
Current status on flood forecasting and early warning in Africa
An overview of the current state of flood forecasting and early warning in Africa is provided in order to identify future user needs and research. Information was collected by reviewing previously


The IUCN review of the southern Okavango integrated water development project.
The review, conducted at the request of the Botswana government, offers an alternative for the Okavango planning region which includes a multi-sectoral approach, designation of the Okavango as a
Use of remotely sensed data to assess the significance of drying gradients in the Okavango Delta , Botswana
    Techniques for assessing water uptake and potential loss by riparian trees in the distal Okavango delta , Botswana
    • Applied Geography