Global land cover is one of the essential terrestrial baseline datasets available for ecosystem modeling, however uncertainty remains an issue. Tools such as Google Earth offer enormous potential for land cover validation. With an ever increasing amount of very fine spatial resolution images (up to 50 cm x 50 cm) available on Google Earth, it is becoming possible for every Internet user (including non remote sensing experts) to distinguish land cover features with a high degree of reliability. Such an approach is inexpensive and allows Internet users from any region of the world to get involved in this global validation exercise. The Geo-Wiki Project is a global network of volunteers who wish to help improve the quality of global land cover...
Volunteered geographical information (VGI) and citizen science have become important sources data fo...
Volunteered geographic data are being used increasingly to support land cover mapping and validation...
Generalisation and uncertainty in ecological data are hugely problematic for environmental monitorin...
Global land cover is one of the essential terrestrial baseline datasets available for ecosystem mode...
Information about land cover and land use is needed for a wide range of applications such as nature ...
Land cover derived from remotely sensed products is an important input to a number of different glob...
This paper describes a simple comparison of the distributions of land cover features identified from...
In recent years the ability to collect spatial information from volunteers has greatly expanded thro...
Citizens are increasingly becoming involved in data collection, whether for scientific purposes, to ...
A global reference data set on cropland was collected through a crowdsourcing campaign using the Geo...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
Land cover data constitutes highly useful information to monitor the extension and status of land re...
Global land cover is an essential climate variable and a key biophysical driver for earth system mod...
The development of remotely sensed products such as land cover requires large amounts of high-qualit...
Accurate geospatial cropland information is one of several critical input parameters needed for the...
Volunteered geographical information (VGI) and citizen science have become important sources data fo...
Volunteered geographic data are being used increasingly to support land cover mapping and validation...
Generalisation and uncertainty in ecological data are hugely problematic for environmental monitorin...
Global land cover is one of the essential terrestrial baseline datasets available for ecosystem mode...
Information about land cover and land use is needed for a wide range of applications such as nature ...
Land cover derived from remotely sensed products is an important input to a number of different glob...
This paper describes a simple comparison of the distributions of land cover features identified from...
In recent years the ability to collect spatial information from volunteers has greatly expanded thro...
Citizens are increasingly becoming involved in data collection, whether for scientific purposes, to ...
A global reference data set on cropland was collected through a crowdsourcing campaign using the Geo...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
Land cover data constitutes highly useful information to monitor the extension and status of land re...
Global land cover is an essential climate variable and a key biophysical driver for earth system mod...
The development of remotely sensed products such as land cover requires large amounts of high-qualit...
Accurate geospatial cropland information is one of several critical input parameters needed for the...
Volunteered geographical information (VGI) and citizen science have become important sources data fo...
Volunteered geographic data are being used increasingly to support land cover mapping and validation...
Generalisation and uncertainty in ecological data are hugely problematic for environmental monitorin...