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Community surveys and risk factor analysis of human alveolar and cystic echinococcosis in Ningxia Hui Autonomous Region, China (2006)
Journal Article
Yang, Y., Sun, T., Li, Z., Zhang, J., Teng, J., Liu, X., …McManus, D. (2006). Community surveys and risk factor analysis of human alveolar and cystic echinococcosis in Ningxia Hui Autonomous Region, China. Bulletin of the World Health Organization, 84(9), 714-721. https://doi.org/10.2471/BLT.05.025718

OBJECTIVE: To determine the true community prevalence of human cystic (CE) and alveolar (AE) echinococcosis (hydatid disease) in a highly endemic region in Ningxia Hui, China, by detecting asymptomatic cases. METHODS: Using hospital records and “AE-r... Read More about Community surveys and risk factor analysis of human alveolar and cystic echinococcosis in Ningxia Hui Autonomous Region, China.

Ecological epidemiology: the role of landscape structure in the transmission risk of the fox tapeworm Echinococcus multilocularis (Leukart 1863) (Cestoda: Cyclophyllidea : Taeniidae) (2005)
Journal Article
Graham, A., Danson, F., & Craig, P. (2005). Ecological epidemiology: the role of landscape structure in the transmission risk of the fox tapeworm Echinococcus multilocularis (Leukart 1863) (Cestoda: Cyclophyllidea : Taeniidae). Progress in Physical Geography, 29(1), 77-91. https://doi.org/10.1191/0309133305pp435ra

The larval form of the fox tapeworm Echinococcus multilocularis causes a fatal liver infection in humans and has high prevalence in western China. The tapeworm lifecycle involves small mammal populations and canids, such as foxes and dogs. Human cont... Read More about Ecological epidemiology: the role of landscape structure in the transmission risk of the fox tapeworm Echinococcus multilocularis (Leukart 1863) (Cestoda: Cyclophyllidea : Taeniidae).

Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy (2004)
Journal Article
Bowyer, P., & Danson, F. (2004). Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy. Remote Sensing of Environment, 92(3), 297-308. https://doi.org/10.1016/j.rse.2004.05.020

Wildland fires burn large areas of the earth's land surface annually, causing significant environmental damage and danger to human health. In order to mitigate the effects, and to better manage the incidence of such fires, fire behaviour models are u... Read More about Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy.

Estimating live fuel moisture content from remotely sensed reflectance (2004)
Journal Article
Danson, F., & Bowyer, P. (2004). Estimating live fuel moisture content from remotely sensed reflectance. Remote Sensing of Environment, 92(3), 309-321. https://doi.org/10.1016/j.rse.2004.03.017

Fuel moisture content (FMC) is used in forest fire danger models to characterise the moisture status of the foliage. FMC expresses the amount of water in a leaf relative to the amount of dry matter and differs from measures of leaf water content whic... Read More about Estimating live fuel moisture content from remotely sensed reflectance.

Landscape dynamics and risk modeling of human alveolar echinococcosis (2004)
Journal Article
Danson, F., Craig, P., Man, W., Shi, D., & Giraudoux, P. (2004). Landscape dynamics and risk modeling of human alveolar echinococcosis. Photogrammetric engineering and remote sensing, 70(3), 359-366. https://doi.org/10.1017/S0031182003003639

Human alveolar echinococcosis (AE) is a rare but fatal liver disease caused by a parasitic tapeworm. Between 1994 and 1997 a medical survey in a rural area in central China revealed the highest incidence rate of the disease recorded in the world to d... Read More about Landscape dynamics and risk modeling of human alveolar echinococcosis.

Training a neural network with a canopy reflectance model to estimate crop leaf area index. (2003)
Journal Article
Danson, F., Rowland, C., & Baret, F. (2003). Training a neural network with a canopy reflectance model to estimate crop leaf area index. International Journal of Remote Sensing, 24(23), 4891-4905. https://doi.org/10.1080/0143116031000070319

This paper outlines the strategies available for estimating the biophysical properties of crop canopies from remotely sensed data. Spectral reflectance and biophysical data were obtained over 132 plots of sugarbeet (Beta vulgaris var. saccharifera) a... Read More about Training a neural network with a canopy reflectance model to estimate crop leaf area index..

Estimating the stem carbon production of a coniferous forest using an ecosystem simulation model driven by the remotely sensed red edge (2000)
Journal Article
Lucas, N., Curran, P., Plummer, S., Danson, F., & et, A. (2000). Estimating the stem carbon production of a coniferous forest using an ecosystem simulation model driven by the remotely sensed red edge. International Journal of Remote Sensing, 21(4), 619-631. https://doi.org/10.1080/014311600210461

A general forest ecosystem model (FOREST-BGC) driven by remotely sensed and meteorological data was used to estimate stem carbon production (SCP) for a forest in mid-Wales. Key inputs to the model were spatial estimates of leaf area index (LAI) and l... Read More about Estimating the stem carbon production of a coniferous forest using an ecosystem simulation model driven by the remotely sensed red edge.

Landscape composition and spatial prediction of alveolar echinococcosis in Southern Ningxia, China
Journal Article
Pleydell, D., Yang, Y., Danson, F., Raoul, F., Craig, P., McManus, D., …Giraudoux, P. Landscape composition and spatial prediction of alveolar echinococcosis in Southern Ningxia, China. PLoS Neglected Tropical Diseases, 2(9),

Background: Alveolar echinococcosis (AE) presents a serious public health challenge within China. Mass screening ultrasound surveys can detect pre-symptomatic AE, but targeting areas identified from hospital records is inefficient regarding AE. Predi... Read More about Landscape composition and spatial prediction of alveolar echinococcosis in Southern Ningxia, China.

Extraction of vegetation biophysical parameters by inversion of the PROSPECT + SAIL models on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors
Journal Article
Jacquemoud, S., Baret, F., Andrieu, B., Danson, F., & et, A. Extraction of vegetation biophysical parameters by inversion of the PROSPECT + SAIL models on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors. Remote Sensing of Environment, 52(3), 163-172. https://doi.org/10.1016/0034-4257%2895%2900018-V

The PROSPECT leaf optical properties and SAIL canopy reflectance models were coupled and inverted using a set of 96 AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) equivalent spectra gathered in afield experiment on sugar beet plots expressin... Read More about Extraction of vegetation biophysical parameters by inversion of the PROSPECT + SAIL models on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors.

High-spectral resolution data for determining leaf water content
Journal Article
Danson, F., Steven, M., Malthus, T., & et, A. High-spectral resolution data for determining leaf water content. International Journal of Remote Sensing, 13(3), 461-470. https://doi.org/10.1080/01431169208904049

Laboratory measurements of the spectral reflectance of leaves from a variety of species were made over the 400-2500 nm range using a spectroradiomctcr. The relation between spectral reflectance and leaf water content was investigated and the effect o... Read More about High-spectral resolution data for determining leaf water content.

Use of a radiative transfer model to simulate the postfire spectral response to burn severity
Journal Article
Chuvieco, E., Riano, D., Danson, F., & Martin, P. Use of a radiative transfer model to simulate the postfire spectral response to burn severity. Journal of Geophysical Research, 111(G4),

Burn severity is related to fire intensity and fire duration and provides a quantitative measure related to fire impact and biomass consumption. Traditional field-based methods to estimate burn severity are time consuming, labor intensive, and normal... Read More about Use of a radiative transfer model to simulate the postfire spectral response to burn severity.