Remote Sensing

Santiago, Chile

Principal component analysis

Multispectral satellite imagery often contains strong correlation between spectral bands, storing channels that convey very similar information. This inter-band redundancy can be minimized by using Principal Component Analysis (PCA) to transform imagery information into a more simplified, direct form. This technique can be used to better perform a variety of analyses that examine distinct land covers, such as image classification.

This project used Landsat 8 OLI imagery taken over the southern part of the Chilean capital Santiago to perform a PCA that helps distinguish different land covers.


Data: Landsat 8

Tools: CATALYST.Earth, Inkscape

Nile River Delta, Egypt

Vegetation Soil Salinity Index

The Delta, and the farms that rely on its resources, have faced several environmental pressures in recent decades. Increased urbanization has contributed greatly to lost farmland as the population has soared. But the combined impact of dams upriver, which impede the sediment that makes the delta so fertile, coupled with sea-level rise due to climate change has caused serious soil degradation. The result of these processes has led to increased soil salinity in area of the delta closest to the Mediterranean Sea.

This project visualizes the spatial distribution of this stress within the Nile River Delta through the production of a spectrally-derived index; vegetation soil salinity. In the map, blue values depict healthy green vegetative farms, whereas red areas delineate fields inundated by sea water, as well as urban areas and branches of the Nile. See full poster here

Data: Landsat 8

Tools: CATALYST.Earth, ArcGIS Pro

Montréal, Canada

Object-based land cover classification

High spatial resolution satellite and drone imagery are rendering object-based classification workflows more efficient than traditional pixel-based schemes. Here, Planet imagery was accessed via a student trial license, and OBIA was performed to delineate six land-cover classes for the West Island of Montréal.


Data: Planet Labs

Tools: CATALYST.Earth, ArcGIS Pro

Lake Maracaibo, Venezuela

Image enhancement of oil spills

Since the early 20th century, Lake Maracaibo has been a site for numerous petroleum extraction wells; crude oil being the the industry that has fueled the Venezuelan economy for decades. Decaying transportation pipelines and derricks crisscross the lake’s bottom, mainly along its eastern shore, leaking crude oil that appears on the water surface and accumulates in coastal mangrove forests.

Landsat 8 imagery from September, 2021 displays hundreds of faint oil streaks near Ciudad Ojeda. This project used image enhancement techniques to better distinguish the streaks. From left to right in the image: original true-colour image, histogram equalization enhancement, custom manual enhancement. Full poster here.

Data: Landsat 8

Tools: CATALYST.Earth


Sea of Japan

Sea-surface temperature MODIS

This animation was made thanks to Qiusheng Wu's amazing online application for creating timelapse animation using Google Earth Engine.

Try it out for yourself here!


Data: MODIS

Tools: Google Earth Engine

Missisquoi Bay, Canada/US

Enhancement of high chlorophyll-a concentrations

Missisquoi Bay straddles the borders between New York, Vermont and Québec. Increased agricultural presence in its drainage basin and the excess of nutrients like nitrogen and phosphorous from fertilizers has caused numerous severe harmful algal blooms in recent years. Presented here is an example visible in a Landsat 7 ETM scene taken in 2014.


Data: Landsat 7

Tools: QGIS