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GIS / Remote Sensing

Normalized Difference Snow Index (NDSI)

Published on May 17, 2020
NDSI is a measure of the relative magnitude of the reflectance difference between visible (green) and shortwave infrared (SWIR).

Integrate Google Earth Engine(GEE), Pandas framework and Matplotlip - Spatial Data Mining

Published on Apr 04, 2020
Discovery Pattern in Spatial data, extract potentially useful information from data stored in images and visualize the result in dynamic charts.

Generate Slope Elevation data from SRTM - Python API

Published on Apr 11, 2020
Digital elevation data is an international research effort that obtained digital elevation models on a near-global scale. This SRTM V3 product (SRTM Plus) is provided by NASA JPL at a resolution of 1 arc-second (approximately 30m).

Calculate NDVI and export

Published on May 19, 2020
Normalized Difference Vegetation Index (NDVI) quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs).

Most used spectral Indices with free satellite data

Published on May 14, 2020
Today many different indices exist and each one has its own significance in the study. Here are the most popular indices that be calculated from free data satellites.

Calculate NDVI from Sentinel-2 with Python API

Published on May 07, 2020
Normalized Difference Vegetation Index (NDVI) quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs).

Land Cover Mapping - Part 1

Published on May 31, 2020
The surface of the Earth is continuously changing at many levels; local, regional, national, and global scales. Changes in land use and land cover are pervasive, rapid, and can have significant impacts on people, the economy, and the environment.

Supervised Classification in GEE

Published on May 10, 2020
Supervised classification is the technique most often used for the quantitative analysis of remote sensing image data.

Land Cover Mapping - Part 2

Published on May 31, 2020
The surface of the Earth is continuously changing at many levels; local, regional, national, and global scales. Changes in land use and land cover are pervasive, rapid, and can have significant impacts on people, the economy, and the environment.

All you need to know about NDWI: Normalized Difference Water Index

Published on May 12, 2020
The Normalized Difference Water Index (NDWI) is remote sensing derived index estimating the leaf water content at the canopy level.

All you need to know about EVI

Published on May 11, 2020
EVI is similar to Normalized Difference Vegetation Index (NDVI) and can be used to quantify vegetation greenness. However, EVI corrects for some atmospheric conditions and canopy background noise and is more sensitive in areas with dense vegetation.

Google earth engine with python

Published on May 07, 2020
In addition to the web-based IDE Google Earth Engine also provides a Python API that can be used on your local machine.

All you need to know about NDVI

Published on May 07, 2020
The Normalized Difference Vegetation Index is a simple indicator of photosynthetically active biomass or, in layman’s terms, a calculation of vegetation health.

NDVI time series with Google Earth Engine

Published on Sep 19, 2020
Time series animations of Earth observation imagery are captivating and engaging. In this tutorial, you'll learn how to generate an animated GIF.

Google Earth Engine Image Pre-processing : Background and methods Part I

Published on Apr 19, 2020
While using remote sensing data several pre-processing steps can be applied that aim at removing artifacts from the images that are not related to the actual reflectance of the land cover such as sensor effects, atmospheric, and illumination conditions.