Big Data

Learning Open Foris tools (Part 1).

Here’s another suite of software tools that land change scientists and geospatial analysts should have in their toolbox: Open Foris. Open Foris is a set of free and open-source software tools designed to facilitate flexible and efficient data collection, analysis, and reporting for environmental monitoring such as forest inventories, climate change reporting, socio-economic surveys, biodiversity assessments, land use/cover change assessments, among others [1]. This initiative, resulting from the collaborative efforts of numerous public and private institutions, is hosted by the Food and Agriculture Organisation of the United Nations.

Meeting Google Earth Engine.

A fantastic opportunity for land change science studies in the near immediate future is the growing utility of cloud computing geospatial analysis platforms such as Google Earth Engine. Combined with the ever-increasing availability of earth observation datasets, these kinds of technologies are expected to facilitate more regional- to global-scale analyses, as well as in-depth local-scale investigations, of land system changes. Since the latter part of last year, I have been using Earth Engine first hand for my land change analyses.

Analysing mangrove forest change using radar.

A recent study mapped the distribution and drivers of global mangrove forest change from 1996 to 2010 [1]. The study, published in PLoS ONE by members of the ALOS Kyoto & Carbon Initiative led by the Japan Aerospace Exploration Agency, investigated the drivers of mangrove land use and land cover change across the tropics using time-series L-band synthetic aperture radar sensors, particularly JER-1 SAR and ALOS/PALSAR mosaic data. One of the major findings showed that Southeast Asia contained the largest proportion of mangrove forests globally (33.