Mapping land-cover over large areas using multispectral data derived from the NOAA-AVHRR: A case study of Nigeria

Rogers, David J.; Hay, Simon I.; Packer, M.J.; Wint, G. R. William

doi:10.1080/014311697217107

Cited by 29 publications

(12 citation statements)

References 19 publications

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“…The altitude of each trapping site was derived from the 1 × 1 km spatial resolution global topography (GTOPO30) digital elevation model obtained from the US Geological Survey (2002). Forty other environmental variables were derived from the Pathfinder Advanced Very High Resolution Radiometer (AVHRR) dataset (Rogers et al ., 1997), as described by Tatem et al . (2003), from 1 × 1 km spatial resolution imagery, from April 1992 to April 1996, downloaded from the ‘Land Processes Distributed Active Archive Center’ website (US Geological Survey, 2002).…”

Section: Methodsmentioning

confidence: 99%

Modelling the distributions of Culicoides bluetongue virus vectors in Sicily in relation to satellite‐derived climate variables

Purse

Tatem

Caracappa

et al. 2004

Medical Vet Entomology

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Surveillance data from 268 sites in Sicily are used to develop climatic models for prediction of the distribution of the main European bluetongue virus (BTV) vector Culicoides imicola Kieffer (Diptera: Ceratopogonidae) and of potential novel vectors, Culicoides pulicaris Linnaeus, Culicoides obsoletus group Meigen and Culicoides newsteadi Austen. The models containing the 'best' climatic predictors of distribution for each species, were selected from combinations of 40 temporally Fourier-processed remotely sensed variables and altitude at a 1 km spatial resolution using discriminant analysis. Kappa values of around 0.6 for all species models indicated substantial levels of agreement between model predictions and observed data. Whilst the distributions of C. obsoletus group and C. newsteadi were predicted by temperature variables, those of C. pulicaris and C. imicola were determined mainly by normalized difference vegetation index (NDVI), a variable correlated with soil moisture and vegetation biomass and productivity. These models were used to predict species presence in unsampled pixels across Italy and for C. imicola across Europe and North Africa. The predicted continuous presence of C. pulicaris along the appenine mountains, from north to south Italy, suggests BTV transmission may be possible in a large proportion of this region and that seasonal transhumance (seasonal movement of livestock between upland and lowland pastures) even in C. imicola-free areas should not generally be considered safe. The predicted distribution of C. imicola distribution shows substantial agreement with observed surveillance data from Greece and Iberia (including the Balearics) and parts of mainland Italy (Lazio, Tuscany and areas of the Ionian coast) but is generally much more restricted than the observed distribution (in Sardinia, Corsica and Morocco). The low number of presence sites for C. imicola in Sicily meant that only a restricted range of potential C. imicola habitats were included in the training set and that predictions could only be made within this range. Future modelling exercises will use abundance data collected according to a standardized protocol across the Mediterranean and, for Sicily in particular, should include non-climatic environmental variables that may influence breeding site suitability such as soil type.

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Section: Methodsmentioning

confidence: 99%

Modelling the distributions of Culicoides bluetongue virus vectors in Sicily in relation to satellite‐derived climate variables

Purse

Tatem

Caracappa

et al. 2004

Medical Vet Entomology

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“…It was recently recognized to be one of the better predictor variables of landcover type in Nigeria (Rogers et al, 1997).…”

Section: Remotely Sensed Datamentioning

confidence: 99%

A systematic approach to area-wide tsetse distribution and abundance maps

Hendrickx¹,

Napala²,

Dao³

et al. 1999

Bull. Entomol. Res.

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A raster or grid-based Geographic Information System with data on tsetse, trypanosomosis, animal production, agriculture and land use has recently been developed in Togo. This paper describes the generation of area-wide digital tsetse distribution and abundance maps and how these accord with the local climatic and agro-ecological setting. Results include: (i) a spatial demarcation of ecologically distinct areas, producing a seasonal cluster map based on seasonal weather data and temporal series of satellite derived National Oceanic and Atmospheric Administration (NOAA) AVHRR and METEOSAT variables: (ii) tsetse distribution maps of Glossina tachinoides Westwood, G. palpalis palpalis (Robineau-Desvoidy), G. morsitans submorsitans Newstead, G. longipalpis Wiedemann, G. medicorum Austen and G. fusca fusca (Walker); and (iii) tsetse abundance or 'risk' maps, corrected for within database seasonal fluctuations, for G. tachinoides and G. p. palpalis. It is concluded that grid-based sampling is the ideal method for rapid assessment of the current vector and disease situation within any country or region, and that remote sensing has an important role to play in planning such a sampling system.

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“…This layer of point data was then overlaid on the 8 km 2 pixel centroids to identify pixels in Israel within 4 km of an outbreak. For each pixel, the maximum composited monthly values of four environmental variables were obtained from the pathfinder AVHRR data set (56), from 1 km 2 spatial resolution imagery (30), for the months between July 1981 and September 2001. These four environmental variables were as follows: -NDVI -middle infra-red reflectance (MIR) -land surface temperature (LST) -air temperature (TAIR).…”

Section: Climate Time-series Datamentioning

confidence: 99%

Predicting the risk of bluetongue through time: climate model of temporal patterns of outbreaks in Istrael

Purse

Baylis²,

Tatem³

et al. 2004

Rev. Sci. Tech. OIE

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Determining the temporal relationship between climate and epidemics of Culicoides-borne viral disease may allow control and surveillance measures to be implemented earlier and more efficiently. In Israel, outbreaks of bluetongue (BT) have occurred almost annually since at least 1950, with severe episodes occurring periodically. In this paper, the authors model a twenty-year time-series of BT outbreaks in relation to climate. Satellite-derived correlates of low temperatures and high moisture levels increased the number of outbreaks per year. This is the first study to find a temporal relationship between the risk of Culicoides-borne disease and satellite-derived climate variables. Climatic conditions in the year preceding a BT episode, between October and December, coincident with the seasonal peak of vector abundance and outbreak numbers, appeared to be more important than spring or early summer conditions in the same year as the episode. Since Israel is an arid country, higher-thanaverage moisture levels during this period may increase the availability of breeding sites and refuges for adult Culicoides imicola vectors, while coolerthan-average temperatures will increase fecundity, offspring size and survival through adulthood in winter, which, in turn, increases the size of the initial vector population the following year. The proportion of variance in the annual BT outbreak time-series resulting from climate factors was relatively low, at around 20%. This was possibly due to temporal variation in other factors, such as viral incursions from surrounding countries and levels of herd immunity. Alternatively, since most BT virus (BTV) circulation in this region occurs silently, in resistant breeds of local sheep, the level of transmission is poorly correlated with outbreak notification so that strong relationships between BTV circulation and climate, if they exist, are obscured.

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Mapping land-cover over large areas using multispectral data derived from the NOAA-AVHRR: A case study of Nigeria

Cited by 29 publications

References 19 publications

Modelling the distributions of Culicoides bluetongue virus vectors in Sicily in relation to satellite‐derived climate variables

Modelling the distributions of Culicoides bluetongue virus vectors in Sicily in relation to satellite‐derived climate variables

A systematic approach to area-wide tsetse distribution and abundance maps

Predicting the risk of bluetongue through time: climate model of temporal patterns of outbreaks in Istrael

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