Ritik Tomar's Projects
Real Estate Price Prediction using Linear Regression and XGBoost. Geo-Spatial analysis using OSMnx & OpenRouteService and visualization with Folium.
Airbnb Automated Classification System
Documentation and samples for ArcGIS API for Python
Python add-in for ArcGIS Desktop 10.1+, based in arcpy with matplotlib dependency (embedded). Takes a user-generate polyline and produces an image file for use in a map document or externally.
An app that uses a CNN to classify whether a satellite image shows an area would be a good rock climbing spot or not. On streamlit.
A Los Angeles Times analysis of California buildings within fire hazard zones
Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.
Spatial Database Final Project - Coastal and Offshore Marine Zones with Geopandas and Pyspark
We aim to build an ML model that will predict the yield of a crop using time series analysis of remote sensing data.
Contrary to the general belief that crimes happen at night or dark, in the nations capital most offenses or crimes happen during the evening.The Lab @ DC Consulting Project
a deep model that segments water on multispectral images
Study & assessment of probable impact of catastrophic flood events & manage flood risk with a first order flood-fill model developed using Python geospatial libraries
Python bindings and utilities for GeoJSON
Extract and Visualize location from any file
A Los Angeles Times geospatial analysis of Houston homes after Hurricane Harvey
MicaSense RedEdge and Altum image processing tutorials
ArcGIS API for JavaScript application built with Next.js
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Repository for all spatial data.
An analysis conducted for the June 13, 2019, Los Angeles Times story "The 2020 census is coming. Will Native Americans be counted?"
A pipeline for detecting macro-plastics in coastal waters using Sentinel 2 data
contains various presentations
Python library for Global Hydrology Analysis. Used to calculate upstream contributing area, aspect, slope, and topographic wetness index.
2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing
Config files for my GitHub profile.