Despite its high population density, Keralites have the countrys highest life expectancy and the lowest infant mortality rates. Kerala is considered one of the cleanest and most peaceful parts of India, besides being a fully literate state.The state remains a major source of Indias bananas, rubber...
Kannur District is in Malabar area of Kerala state. The population is 2.4 million and the density is 813 people per km². Kannur has coastal and hilly towns and villages.Map Directions Satellite Photo Mapkannur.nic.in Wikivoyage Wikipedia...
Kerala is the God’s own country. This state of India is situated on the South West coast of the country. The shape of the state is most likely to draw the attention of the people. Sickle-like in shape, Kerala on map looks like a crescent moon as it appears on the eleventh day of...
One of the other primary causes of droughts in Kannur district of Kerala is improper use of available water. Irrigation water is either over supplied or under supplied in most cultivable areas. Our study will focus on identifying such areas by creating a drought intensity map....
Try to take any train within Kerala, no matter if it is a local or an ultra long-haul Express during any time of the day, it will be jam-packed to the brim. Road transport has its limitations given the population density of 820 people per square km, hence trains are the preferred me...
Htitiou, A., Boudhar, A., Lebrini, Y., Hadria, R., Lionboui, H., Elmansouri, L., Tychon, B., & Benabdelouahab, T. (2019). The performance of random forest classification based on phenological metrics derived from Sentinel-2 and Landsat 8 to map crop cover in an irrigated sem...
Visual interpretation technique was followed in order to map the mangrove forest cover using the high resolution LISS III satellite image. LISS III satellite images includes three bands namely Green, Red, and NIR of which Red and NIR bands were used to perform NDVI .Based on the percentage of...
(NDVI), waterbody distance, drainage density, soil type, and geology. In GIS, the dependent and independent variables are spatially combined, and SPSS and R are used for statistical modeling and validation. The final flood susceptibility map is divided into the risk categories of very low, low...
The study assesses and map the risks associated with coastal hazards on the central coast of Kerala by developing a composite disaster risk index that integrates physical, and socioeconomic variables specific to the study area. Under the hazard component, indicators such as sea level rise, ...