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Geo-Wiki provides anyone with the means to engage in monitoring of the earth's surface by classifying satellite, drone or ground-level imagery. Data can be input via desktop or mobile devices, with campaigns and games used to incentivize input. These innovative techniques have been used to successfully integrate citizen-derived data sources with expert and authoritative data to address pressing policy-related questions (e.g. European environmental policy, SDG indicators and more).

A model for studying the ecology and evolution of plant communities

Data on the key drivers of tropical forest loss were collected using the Geo-Wiki platform. The data, collected within a geographical area of 30 degrees North and South of the equator, are openly available and are already being used in different studies.

Data on built-up surfaces around the world were collected via a Geo-Wiki campaign, where this data set is intended for use as an independent validation of global maps of built-up surfaces.

The GROW Citizen Observatory was developed in a Horizon 2020 funded project to engage citizens (interested in growing food and improving the health of their soils) in sharing their data with a large community of growers across Europe.

Geo-Wiki is an online application for the visualization and crowdsourcing of land cover and land use data, where the first data collection campaigns ran during 2011 and 2012.

Data on agricultural field size has been collected via Geo-Wiki campaigns, where this type of data can provide some indication of agricultural practices, and it helps us to determine what types of satellite data are needed for agricultural monitoring in different parts of the world.

A Geo-Wiki campaign on capturing data on cropland extent took place in September 2016, collecting data at 36,000 unique locations around the world

Data collection using mobile technology has facilitated the collection of in situ or ground-based data on land use/land cover including geo-tagged photographs that document the landscape.

Several data collection activities related to forest cover, forest biomass and forest management have been coordinated by IIASA’s NoDES group in the past

Crop Observe App is an application for collecting crop type, phenological stage, visible damage and management practices.

The CAMALIOT mobile app for crowdsourcing is used to collect data transmitted by the Global Satellite Navigation System (GNSS) for scientific applications such as weather forecasting and improving positional accuracy

Where are the best places for a romantic date? Where can you skate? Where is it cool on a hot summer's day? Find the perfect places to spend the day and share them with the City Oases App!

The Postharvest Storage App is a tool for collecting information on the types of storage mechanisms used by farmers for storing their harvests.

The GROW Observatory app is a service stemming from the GROW Observatory project, a European Citizen Science project on growing food, soil moisture sensing and land monitoring that ran from 2016-2019.

Picture Pile is an online and mobile application for rapid image classification, which can be used to collect data for the development or validation of remotely sensed map products or to provide new inputs to machine learning algorithms.

Natura Alert is a mobile and web application to report threats in protected areas, in particular, in Important Bird and Biodiversity Areas (IBAs) globally and in Natura 2000 sites in the EU.

The FotoQuest Go mobile app is a tool for citizen collection of in situ land cover and land use data, including geo-tagged photographs that document the landscape.

AgroTutor provides highly specific and timely agricultural recommendations to farmers across Mexico and complements the work of local extension agents. Although most of the benchmarking information provided in the app is specific to Mexico, some of the functionalities can be used anywhere in the world. Give it a try!

The Land Cover Validation Platform (LACO-Wiki) is an online land cover and land use validation tool that simplifies the process of validating remotely sensed map products