Mark Kipkirui 's starred repositories
interactive-tutorials
Interactive Tutorials
interactive-tutorials
Interactive Tutorials
custom-scripts
A repository of custom scripts to be used with Sentinel Hub
semiautomated-vegetation-analysis
Crop classification of Krishna and Godavari delta
Google-Earth-Engine
Geospatial analysis on Google's infrastructure, Google Earth Engine.
ndvi-viewer
Calculate NDVI in real time using local images.
QGIS_Quick_NDVI
Quick NDVI - QGIS processing python script
Sentinel2-indices
A quick & dirty script to automate computing several Sentinel-2 indices
landsat_ndvi
R script to create NDVI rasters from raw landsat imagery
GEO_tutorial
This repository contains documentation and code for lecture.
gee-vegetation-change
Reproducible remote sensing analysis using Google Earth Engine (GEE) to identify vegetation change in Columbia.
GEE-NDVI-Change-Detection
Code used to create NDVI change detection maps from Sentinel-2 imagery on the Google Earth Engine platform.
dstl-satellite-waterways
Using various indices such as NDVI, CCCI, and NDWI to identify waterways in satellite images
NDVI-and-Vegetation-Health-Calculation
Land and Vegetation Remote Sensing - A webapp build and deployed in Google Earth Engine, to calculate the Normalised Vegetation Difference Index of a visible vegetation cover and use the same to analyze the health and age of that patch. The datasats used are GEE calibrated Landsat 7 rasters and the sensor used is ETM 2+ (Enhanced Thematic Mapper).
Zonal-Statistics
GEE, an open-source platform, for fast computation to Spatio-temporal analysis of satellite data.
green-spaces
Render GeoJSON polygons over aerial imagery and analyse pixels covered by vegetation; used to calculate green spaces in residential gardens
PythonNDVI
Python coding that takes images acquired using a Near-Infrared (NIR) converted camera and generates a modified Normalized Differential Vegetation Index (NDVI). Contains standalone with colorbar legend and batch versions. ENDVI and SAVI Indexes also available and with greyscale options.
multispectral_processing
Multispectral Processing is an implementation in ROS Melodic for Multi-modal Data Processing and Implementation for Vineyard Analysis.
satellite_image
Python package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
standardized_precipitation_index_python
Sub-monthly standardized precipitation index calculation in Python
chirps_spi
Calculating Standard Precipitation Index using CHIRPS data, and R on the cloud
standardized-precipitation-index
Analyze drought in the contiguous United States with the Standardized Precipitation Index (SPI)
GEE-Courses
A collection of Jupyter notebooks for GEE Courses
GEE-Courses
A collection of Jupyter notebooks for GEE Courses