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INFLUENCE OF TOPOGRAPHIC AND HYDROGRAPHIC FACTORS ON THE SPATIAL DISTRIBUTION OF LEPTOSPIROSIS DISEASE IN SAO PAULO COUNTY,BRAZIL:AN APPROACH USING GEOSPATIAL TECHNIQUES AND GIS ANALYSIS
Spatial Analysis GIS Leptospirosis Disease Sao Paulo Brazil Environmental Variables
2016/11/30
Leptospirosis is a zoonosis caused by Leptospira genus bacteria. Rodents, especially Rattus norvegicus, are the most frequent hosts of this microorganism in the cities. The human transmission occurs b...
LINKING SATELLITE REMOTE SENSING BASED ENVIRONMENTAL PREDICTORS TO DISEASE:AN APPLICATION TO THE SPATIOTEMPORAL MODELLING OF SCHISTOSOMIASIS IN GHANA
Remote Sensing Environmental Variables Climate Classification Spatiotemporal Analysis Schistosomiasis Risk
2016/11/30
90% of the worldwide schistosomiasis burden falls on sub-Saharan Africa. Control efforts are often based on infrequent, small-scale health surveys, which are expensive and logistically difficult to co...
UAV-BORNE THERMAL IMAGING FOR FOREST HEALTH MONITORING:DETECTION OF DISEASE-INDUCED CANOPY TEMPERATURE INCREASE
Stress detection unmanned aerial vehicle unmanned aerial system UAV UAS camera calibration
2015/9/21
Climate change has a major influence on forest health and growth, by indirectly affecting the distribution and abundance of forest pathogens, as well as the severity of tree diseases. Temperature rise...
Detection of the pine trees damaged by pine wilt disease using high spatial remote sensing data
Pine Wilt Disease Detection High Spatial Image
2015/8/20
Since 1988 pine wilt disease has spread over rapidly in Korea. It is not easy to detect the damaged pine trees by pine wilt disease
from conventional remote sensing skills. Thus, many possibilities w...
MULTITEMPORAL HYPERSPECTRAL DATA ANALYSIS FOR REGIONAL DETECTION OF PLANT STRESS BY USING AN AIRBORNE-AND TRACTOR-BASED SPECTROMETER–CASE STUDY: SUGAR BEET DISEASE RHIZOCTONIA SOLANI
Sugar Beet Hyperspectral Remote Sensing GIS Vegetation Indices OSAVI Multitemporal Classification
2015/8/10
Every year sugar beet diseases cause lower sugar beet yields and qualities compared to the average. For that reason, high resolution field and airborne hyperspectral data is used to recognize a fungal...
Satellite based remote sensing technique as a tool for real time monitoring of leaf retention in natural rubber plantations affected by abnormal leaf fall disease
Abnormal Leaf Fall Leaf Area Index MODIS Natural Rubber Refoliation Remote Sensing Rubber yield
2014/12/15
Most parts of the traditional natural rubber growing regions of India, extending from Kanyakumari district of Tamil Nadu in the South to Kasaragod district of Kerala in the North received excess and p...
Geomatics Approach for Assessment of respiratory disease Mapping
Air Quality Index Fuzzy Inference System Geostatistical Analysis Respiratory risk map IDW Technique Gettis Statistical Technique
2014/12/15
Air quality is an important subject of relevance in the context of present times because air is the prime resource for sustenance of life especially human health position. Then with the aid of vast su...
Mathematical Modeling of spatial disease variables by Spatial Fuzzy Logic for Spatial Decision Support Systems
Mathematical Modeling Risk Mitigation Spatial Decision Support System (SDSS) Spatial Fuzzy Logic EarlyWarning and Response System (EWARS) Open Source
2014/12/15
A Spatial Decision Support System (SDSS) provides support for decision makers and should not be viewed as replacing human intelligence with machines. Therefore it is reasonable that decision makers ar...
Geospatial Technology in Disease Mapping, E- Surveillance and Health Care for Rural Population in South India
Health care GIS Data mining Visualization Risk analysis ICT
2014/12/15
Providing Healthcare to rural population has been a challenge to the medical service providers especially in developing countries. For this to be effective, scalable and sustainable, certain strategic...
RISK ZONE MODELLING AND EARLY WARNING SYSTEM FOR VISCERAL LEISHMANIASIS (KALA-AZAR) DISEASE IN BIHAR, INDIA USING REMOTE SENSING AND GIS
Visceral Leishmaniasis Kala-azar vector density Satellite data Remote Sensing GIS
2014/4/29
Visceral Leishmaniasis (VL) commonly known as Kala-azar is one of the most neglected tropical disease affecting approximately 200 million poorest populations 'at risk in 109 districts of three endemic...