The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Fire events are an increasing phenomenon these days due to the climate change. It is responsible for forest degradation and habitat destruction. Changes in ecosystem processes are also noticed. The livelihood of tribal population is also threatened. Geospatial technologies along with Remotely Sensed data have enormous capability to evaluate the various diversified datasets and to examine their relationship...
Agroforestry has enormous potential for reducing the poverty, enhancing the livelihood, improving the food security and mitigating the climate change. The agroforestry suitability mapping is performed using remote sensing and GIS technology based on a similar guideline issued by FAO for Land suitability mapping.The study aims at applying the geospatial tools to various soil and environmental data...
Changes in the landscape patterns have limited the range of greenery in the urban vicinity. Although urban forestry is widely recognized and practiced in developed countries, it is less known in developing countries. It is an integral part that cannot be overlooked because it enhances the quality of life and the environment for urban inhabitants and ensures the sustainable urban development. Geospatial...
The present study analysed the changes taking place in land use/ land cover and forest cover using multispectral satellite remote sensing data (LANDSAT TM, 2010, and LANDSAT OLI, 2013) around the Patehra, Danti, Mirzapur and Madihan forest ranges in Mirzapur district of Uttar Pradesh, India. Satellite data was visually interpreted to delineate land use and land cover classes. Post classification comparative...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.