• Harcharan Singh
• Sachin Suryavanshi

GIS can be define as the systematic description of geospatial data and statistical data for various projects into many different disciplinary works and analysis of data is doing by using raster and vector data with GIS software’s. This analysis is very helpful in the detection of various changes in environment of different regions, observation of component processes, based on current practices and management plans. The space generator sensors in the satellites helps to take information of the different parts of the earth by multispectral spatial and temporal data, this process is define the Remote sensing definition that what exactly it is. The remote sensing data, which helps to analyze the Earth's resources like changes occur dynamically in related to land and water, which known as image processing technology. Basically the various types of analysis techniques are helpful in generating technically statistical geospatial data to better know about the mobility of land and biodiversity ecosystem. Remote sensing data is basically used to detect Land cover and land use changes remotely and carefully selection of appropriate data sets is required for this. The change detection measurement is define as a differences occur in the data frameworks of different time period or scenario including the thematic information, which basically defines the readings of in sighted things in relation to land use and land cover changes of an area or region and it also provides information the changes occurred in that specific area from past times to the present time continuously due various root causes. This research examines the use of GIS and Remote Sensing technology in the detection of changes occurs in the forest area in Bangalore Metropolitan Region between 1999, 2009 and 2018 years. In this the changes has been detected which take place in the forest or vegetation in different time periods. In this the final readings of the analysis of satellite data is to be shown digitally with the help of software Normalize differential vegetation index (NDVI) is the GIS technique which helps in the digital transformation of satellite data of different bands, which is useful in findings various changes in land use and land cover properties of a specific area in form of remote sensing data. This GIS technique basically helps to identify the changes of two (or more) different dates, which have their general difference in their properties. The different techniques have their different applications in research areas such as land use / land cover change, geological changes, specific changes in deforestation / forestry, changes in coastal areas and changes in glaciers etc. There is the principle behind these all change detection technologies, in which the DN value (Digital number value) of a data is different from the DN value of another data with separate dates and timings. In this paper the NDVI technology of GIS is used for forest change detection of Bangalore Metropolitan Region.

Remote Sensing; NDVI; change; directional analysis

"Forest Change Detection of Bangalore Metropolitan Region with NDVI Technology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.622-637, March-2019, Available :http://www.jetir.org/papers/JETIR1903583.pdf

"Forest Change Detection of Bangalore Metropolitan Region with NDVI Technology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp622-637, March-2019, Available at : http://www.jetir.org/papers/JETIR1903583.pdf