Volume 18, No. 6, 2021
ASSESSMENT OF LANDSLIDE PREDICTION USING SATELLITE IMAGE PROCESSING (DIGITAL IMAGE PROCESSING)
Mr. Anup Kadu , Dr. Harshal Patil
Abstract
Assessment of suspicions related to the landslides dislocation prediction is necessary for civilizing the landslide in the early hours warning systems. To save life of people in mountainous area from it is very important to warn them early. So I proposed a system which will provide the solution , it will takes the satellite images from Bhuvan, SAS Planet ,Google Earth etc of the prone areas then those images get processed and with the help of machine learning algorithm it is possible to detect upcoming threat of landslide in large area more accurately. It will also use rainfall data in the prone areas. With the proposed work it will be possible for us to predict landslide in area for which we have satellite access and rainfall data access. This work presents a landslide prediction by using satellite images and method based on SVM, neural network and fuzzy approach in order to increase the prediction of landslide and safer route suggestion. Aim of the proposed work to warn administration or people so that they can take necessary actions to life, environment & economic loss.
Pages: 7456-7462
Keywords: Sound frequencies, Plant growth, frequency generator, Digital image processing, Machine learning, etc.