Updated Readme, deleted unnecessary files

README.md

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+# Project Title
+
+A web based platform to achieve following tasks
+
+1. Time series analysis of variation of various available indexes used to analyse vegetation, water level etc using Landsat satellite data
+
+2. Adding your own customised indices via a GUI
+
+3. Visualizing terrain profile along a path using various available DEMs namely ASTER and SRTM
+
+## Getting Started
+
+These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
+
+### Prerequisites
+
+What things you need to install the software and how to install them
+
+* [Open Data Cube](https://datacube-core.readthedocs.io/en/latest/) project 
+* Landsat images of the region with corresponding metadata files (in .yaml format)
+
+### Installing
+
+1. Add conda forge channel
+
+    ```python
+    conda config --add channels conda-forge
+    ```
+
+2. Create a virtualenv in conda
+
+    ```python
+        conda create --name cubeenv python=3.6 datacube
+    ```
+
+3. Activate environment
+
+    ```python
+    source activate cubeenv
+    ```
+
+4. Install other packages
+
+    ```python
+    conda install jupyter matplotlib scipy
+    ```
+
+5.Setting up database
+* Install [PostgreSQL](https://sourceforge.net/projects/postgresqlportable/) portable launcher
+* Create a user 
+    `create role <username> superuser login`
+* Create a database 
+    `create database datacube`
+
+6. Add config file and add it's path to DATACUBE_CONFIG_PATH environment variable
+
+    ```
+    [datacube]
+    db_database: datacube
+
+    # A blank host will use a local socket. Specify a hostname (such as localhost) to use TCP.
+    db_hostname:
+
+    # Credentials are optional: you might have other Postgres authentication configured.
+    # The default username otherwise is the current user id.
+    # db_username:
+    # db_password:
+    ```
+
+7. Add metadata types ( like eo, telemetry_data ) to the datacube using `datacube metadata add <path to your metadata types .yaml file>`
+
+8. Add product definitions (It defines what type of products your datacube can hold.) using `datacube product add <path to your product definition yaml>`
+    Examples of some [product definitions](https://github.com/opendatacube/datacube-core/tree/develop/docs/config_samples/dataset_types)
+
+9.For each dataset add it's metadata file. At a minimum, you need the dimensions or fields your want to search by, such as lat, lon and time, but you can include any information you deem useful.
+It is typically stored in YAML documents, but JSON is also supported. It is stored in the index for searching, querying and accessing the data.
+For third party datasets https://datacube-core.readthedocs.io/en/latest/ops/prepare_scripts.html#prepare-scripts
+
+10. Install all the requirements using 
+    ```python
+    pip install -r requirements.txt
+    ```
+
+11. Apply the migrations
+
+    ```python
+    python manage.py makemigrations
+    python manage.py migrate
+    ```
+
+
+## Authors
+
+* **Harpinder Jot Singh** - [Github](https://github.com/HarpinderJotSingh) [LinkedIn](https://in.linkedin.com/in/harpinder-jot-singh-248b92155)
+* **Kavya Gupta** - [Github](https://github.com/kavyagupta1107) [LinkedIn](https://in.linkedin.com/in/kavya-gupta-57530516b)
+
+## Acknowledgments
+
+* **Harish Chandra** [Profile](https://www.iirs.gov.in/Dr.Harish.C.Karnatak-profile) 
+* Hat tip to anyone whose code was used
+* StackOverflow :P
+
+