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With LACO-Wiki Mobile, you can collect data on land cover, land use, crop types or any physical phenomenon in the field

LACO-Wiki Mobile

by IIASA

What is it about?

With LACO-Wiki Mobile, you can collect data on land cover, land use, crop types or any physical phenomenon in the field. The mobile app works in tandem with the online version of LACO-Wiki (https://laco-wiki.net), which is an online land cover validation tool. In LACO-Wiki, you create a sample (random, stratified or systematic) from an existing land cover/land use/crop type map and then you send the sample to the mobile phone. In LACO-Wiki Mobile, you are then directed to these sample points on the ground to verify the land cover (land use, crop types, etc.) using the classes specified in LACO-Wiki, with the option to add geo-tagged photographs.

App Details

Version
1.2
Rating
NA
Size
114Mb
Genre
Utilities
Last updated
July 24, 2020
Release date
August 28, 2019
More info

App Screenshots

App Store Description

With LACO-Wiki Mobile, you can collect data on land cover, land use, crop types or any physical phenomenon in the field. The mobile app works in tandem with the online version of LACO-Wiki (https://laco-wiki.net), which is an online land cover validation tool. In LACO-Wiki, you create a sample (random, stratified or systematic) from an existing land cover/land use/crop type map and then you send the sample to the mobile phone. In LACO-Wiki Mobile, you are then directed to these sample points on the ground to verify the land cover (land use, crop types, etc.) using the classes specified in LACO-Wiki, with the option to add geo-tagged photographs.

In addition to being directed to specific sample locations, you can also collect data on land cover (land use, crop types, etc.) at any location in the field, which can enhance the sample. Once you have collected the data, you can upload it to the LACO-Wiki server and produce an accuracy assessment of your land cover (land use, crop type) map.

An added feature of LACO-Wiki is the ability to create a sample along an existing road network in order to make the data collection easier/more cost effective.

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