saiplanner Goto Github PK

googleearthenginepy

Basic script to order data on Google Earth Engine using Python API

grvi-sa10

Generalized Radar Vegetation Index (GRVI) Matlab Toolbox Standalone

histthresh

HistThresh toolbox - authored by Antti Niemistö

homework

homework1

informal-settlements

The code for the following papers: https://arxiv.org/pdf/1812.00786.pdf and https://arxiv.org/abs/1901.00861 see the website for more details:

intro-to-gee-and-application

This tutorial includes introduction to fundamentals of Google Earth Engine (GEE) with Python and Applications (Case Studies) of GEE.

iwams

iwams-1

kerala_flood_2018

landuse-model-netlogo

Agent Based Modelling of Land use change

lin_alg_gnu_octave

This repository contains the codes me and my collegues (Ms Rekha Khot M. and Ms Ruma Rani M) created as a part of teachers enrichment workshop on linear algebra and data analysis conducted at IIT Bombay. The codes elementary and well suited for beginners in GNU Octave. They span across eigenvalues, eigenvectors, systems of ordinary differential equations, QR decomposition, polynomial fitting etc.

ls-floodmonitoring

lt-gee

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

machine-learning-and-python-for-beginners

Machine Learning and Python for Beginners. This repo will contain all the materials for 6-7 week course I shall teach to non-ML experts at Harris Manchester College, University of Oxford.

machine_based_understanding_audiovisual

Deep Learning based audiovisual data analysis

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

models

Models and examples built with TensorFlow

monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

nam_model

Python implementation of NedborAfstromnings Model (NAM) lumped rainfall–runoff model

neurofuzzy_floodmapping_sar

An ANFIS system to generate fuzzy flood maps from SAR

ogr-geopandas-tutorial

Material for distance learning course on "Geoprocessing using Python"

openintro-statistics-slides

👩🏻‍🏫 Slides for OpenIntro Statistics

osgeopy-code

Code for the book Open source geoprocessing with Python

ost_notebooks

ot_3dep_workflows

Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data

pixel_level_land_classification

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

places365

The Places365-CNNs for Scene Classification

profile

Portfolio webpage

pspnet-keras-tensorflow

TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet