Apresentação feita em R do meu estudo chamado "Are coexisting biomes in a heterogeneous tropical landscape alternative stable states?".

An open-source web application for creating time-lapses with Landsat 8 Satellite Imagery powered by Google Earth Engine. 🛰️

The Supervised Land Cover Classification (SLaCC) tool is a Google Earth Engine script created by the Summer 2019 Southern Maine Health and Air Quality Team. It uses NASA Earth observations, the National Land Cover Database, land cover classification training data, and a shapefile of Cumberland County, Maine, USA. The goal of the project was to e…

The Short-term Forest Change Tool (STFC) is a Google Earth Engine script created by the Spring 2020 Costa Rica and Panama Ecological Forecasting team. The main scope of the software is to display changes in vegetation of forested areas and identify regions of possible deforestation.

This APP is necessary to evaluate the quality of the class representative samples and determine the classes with ambiguous boundaries in feature space, where poor classification accuracy is expected.

It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.

This app uses the Google Maps API in tandem with the NASA API to fetch the most recent LANDSAT 8 image of any location (address, city, state, country, landmark, etc.). The LANDSAT 8 satellite takes pictures of the entire earth every 16 days.

deck.gl layers and WebGL modules for client-side satellite imagery analysis

Proof of concept for biome wide aboveground carbon (AGC) mapping in thicket

2D/3D WebGL Landsat 8 satellite image analysis

Image classification in the LANDSAT and SENTINEL satellites images with Google Earth Engine

Scripts to download images from the Landsat series sensors through the google earth engine API

Kumbara: Inventory of Forest and Land Fires in Central Kalimantan Province 2014 - 2024 An application to visualise the severity of land fires using the NBR and dNBR methods and the potential level of land fires using Fire Information for Resource Management System (FIRMS) hotspot points in Central Kalimantan Province, Indonesia.

Code for generating satellite imagery optimised for marine environment using Google Earth Engine