Idioma:

Tracking Red Palm Mite Damage in the Western Hemisphere Invasion with Landsat Remote Sensing Data

Rodrigues, Jose Carlos Verle ; Cosh, Michael H. ; Hunt, E. Raymond ; de Moraes, Gilberto J. ; Barroso, Geovanny ; White, William A. ; Ochoa, Ronald

Insects (Basel, Switzerland), 2020-09, Vol.11 (9), p.627 [Periódico revisado por pares]

Basel: MDPI AG

Texto completo disponível

Citações Citado por

Enviar para

Título:
Tracking Red Palm Mite Damage in the Western Hemisphere Invasion with Landsat Remote Sensing Data
Autor: Rodrigues, Jose Carlos Verle ; Cosh, Michael H. ; Hunt, E. Raymond ; de Moraes, Gilberto J. ; Barroso, Geovanny ; White, William A. ; Ochoa, Ronald
Assuntos: coconut palm ; Cocos nucifera L ; Computer simulation ; Google Earth Engine ; Landsat ; Landsat satellites ; Landsat time series ; leaf damage ; Mites ; Nonnative species ; Normalized difference vegetative index ; Pests ; Plantations ; Programming environments ; Raoiella indica Hirst ; Remote sensing ; Satellite tracking ; Satellites ; Spatial discrimination ; Spatial resolution ; Time series ; Vegetation ; Vegetation index ; Western hemisphere ; Yellowing
É parte de: Insects (Basel, Switzerland), 2020-09, Vol.11 (9), p.627
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: Red palm mites (Raoiella indica Hirst, Acari: Tenuipalpidae) were first observed in the western hemisphere on the islands and countries surrounding the Caribbean Sea, infesting the coconut palm (Cocos nucifera L.). Detection of invasive pests usually relies upon changes in vegetation properties as result of the pest activity. These changes may be visible in time series of satellite data records, such as Landsat satellites, which have been available with a 16-day repeat cycle at a spatial resolution of 30 m since 1982. Typical red palm mite infestations result in the yellowing of the lower leaves of the palm crown; remote sensing model simulations have indicated that this feature may be better detected using the green normalized difference vegetation index (GNDVI). Using the Google Earth Engine programming environment, a time series of Landsat 5 Thematic Mapper, Landsat 7 Enhanced Thematic Mapper Plus and Landsat 8 Operational Land Imager data was generated for plantations in northern and northeast Brazil, El Salvador, and Trinidad-Tobago. Considering the available studied plantations, there were little or no differences of GNDVI before and after the dates when red palm mites were first revealed at each location. A discussion of possible alternative approaches are discussed related to the limitations of the current satellite platforms.
Editor: Basel: MDPI AG
Idioma: Inglês

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

Tracking Red Palm Mite Damage in the Western Hemisphere Invasion with Landsat Remote Sensing Data

Rodrigues, Jose Carlos Verle ; Cosh, Michael H. ; Hunt, E. Raymond ; de Moraes, Gilberto J. ; Barroso, Geovanny ; White, William A. ; Ochoa, Ronald

Basel: MDPI AG

Buscando em bases de dados remotas. Favor aguardar.