Identification of central Kenyan Rift Valley Fever virus vector habitats with landsat TM and evaluation of their flooding status with airborne imaging radar

Pope, Kevin; Sheffner, E. J.; Linthicum, Kenneth J.; Bailey, Charles; Logan, Thomas M.; Kasischke, E. S.; Birney, K.; Njogu, A. R.; Roberts, Claire

doi:10.1016/0034-4257(92)90002-2

Cited by 77 publications

(30 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…(Figure 9). Alternatively, a study in Kenya with C-HH imagery found that flooded emergent grasses had a similar backscatter response to non-flooded grasses [95]. The confusion in identifying the change in land cover from upland to open water likely was a result of wind causing waves in the water and, consequently, a lot more surface scattering.…”

Section: Resultsmentioning

confidence: 99%

A Collection of SAR Methodologies for Monitoring Wetlands

et al. 2015

View full text Add to dashboard Cite

Abstract:Wetlands are an important natural resource that requires monitoring. A key step in environmental monitoring is to map the locations and characteristics of the resource to better enable assessment of change over time. Synthetic Aperture Radar (SAR) systems are helpful in this way for wetland resources because their data can be used to map and monitor changes in surface water extent, saturated soils, flooded vegetation, and changes in wetland vegetation cover. We review a few techniques to demonstrate SAR capabilities for wetland monitoring, including the commonly used method of grey-level thresholding for mapping surface water and highlighting changes in extent, and approaches for polarimetric decompositions to map flooded vegetation and changes from one class of land cover to another. We use the Curvelet-based change detection and the Wishart-Chernoff Distance approaches to show how they substantially improve mapping of flooded vegetation and flagging areas of change, respectively. We recommend that the increasing availability SAR data and the proven ability of these data to map various components of wetlands mean SAR should be considered as a critical component of a wetland monitoring system.

show abstract

Section: Resultsmentioning

confidence: 99%

A Collection of SAR Methodologies for Monitoring Wetlands

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Ozesmi and Bauer (2002) provided a general review of remote sensing applications in wetlands, while other authors have focused on specific applications in the USA (Ackleson & Klemas, 1987;Sader et al, 1995;Sahagian & Melack, 1996;Baban, 1997;Lo & Watson, 1998;Townsend & Walsh, 2001), South America (Gleiser et al, 1997;Mertes et al, 1993), Africa (Pope et al, 1992;Haack, 1996;Munyati, 2000), and Australia (Johnston & Barson, 1993, Harvey & Hill, 2001. Although the most widely use of remote sensing has been on vegetation classification and land cover mapping, other uses have been monitoring of biomass changes and stress on wetland vegetation.…”

Section: Introductionmentioning

confidence: 97%

Integrating spectral indices into prediction models of soil phosphorus in a subtropical wetland

Rivero

Grunwald

Binford

et al. 2009

Remote Sensing of Environment

View full text Add to dashboard Cite

“…A partir da verificação da ocorrência de uma quantidade desses habitats numa área geográfica menor foi possí-vel, com um esforço adicional relativamente pequeno, examinar uma área muito mais extensa, na busca bem sucedida de réplicas da microregião inicialmente percebida e caracterizada (Pope e col. 10 , 1992; Linthicum e col. 6 , 1987). O uso de sensoriamento remoto também tem sido valioso em escala regional para identificar tipos de vegetação e monitorar a variabilidade temporal e espacial das características da vegetação.…”

Section: Introductionunclassified

Análise da ocorrência de leishmaniose tegumentar americana através de imagem obtida por sensoriamento remoto orbital em localidade urbana da região Sudeste do Brasil

1996

View full text Add to dashboard Cite

ResumoAs áreas onde, segundo notificação, ocorreram casos de leishmaniose tegumentar americana, na região de Lagoinha, Estado de São Paulo, Brasil (Lat 23 05 S; Lon 45 11), nos anos de 1993 e 1994, foram localizadas numa imagem do satélite TM-LANDSAT. A composição colorida artificial feita com as bandas 3, 4 e 5 da imagem permitiu a identificação de vegetação arbustiva, ou dentro mesmo dos limites indicados para aquelas localidades ou à distância máxima de cerca de 250 metros do perímetro de cada área. A utilização de um recurso capaz de possibilitar uma visão mais abrangente de uma área geográfi-ca tornou evidente as vantagens do sensoriamento remoto orbital para o estudo desta endemia.

show abstract

Identification of central Kenyan Rift Valley Fever virus vector habitats with landsat TM and evaluation of their flooding status with airborne imaging radar

Cited by 77 publications

References 13 publications

A Collection of SAR Methodologies for Monitoring Wetlands

A Collection of SAR Methodologies for Monitoring Wetlands

Integrating spectral indices into prediction models of soil phosphorus in a subtropical wetland

Análise da ocorrência de leishmaniose tegumentar americana através de imagem obtida por sensoriamento remoto orbital em localidade urbana da região Sudeste do Brasil

Contact Info

Product

Resources

About