Mapping the Expansion of Boom Crops in Mainland Southeast Asia Using Dense Time Stacks of Landsat Data
Dataset overview: We mapped land use land cover changes with a focus on the expansion of selected boom crops (i.e. rubber, cashews, coffee, eucalyptus, and sugarcane) for seven Landsat footprints in Mainland Southeast Asia (125050, 125051, 126049, 126050, 129046, 130047, 131046) from 2000-2014. The paper describing the methods was published in 2017 (Hurni et al. 2017).
Invitation to the workshop: “SPACED: Using Earth Observations to Protect Natural Landscapes ”
Invitation to the workshop: “SPACED: Using Earth Observations to Protect Natural Landscapes ”
The ECOPOTENTIAL H2020 project, focusing its activities on blending Earth Observations from remote sensing, field measurements, data analysis and modelling of current and future ecosystem conditions and services, is organising the workshop “SPACED: Using Earth Observations to Protect Natural Landscapes” in Brussels on the 10th of January 2018, from 9.00 to 17:30.
ROSES-2016 LCLUC
ROSES-2016 LCLUC
Stephen Walsh publishes book chapter on societal benefits from remote sensing
Stephen Walsh publishes book chapter on societal benefits from remote sensing
India Annual Winter Cropped Area, 2001-2016
This India Annual Winter Cropped Area, 2001 - 2016 consists of annual winter cropped areas for most of India (except the Northeastern states) from 2000-2001 to 2015-2016. This data set utilizes NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI; spatial resolution: 250m) for the winter growing season (October-March). The methodology uses an automated algorithm identifying the EVI peak in each pixel for each year and linearly scales the EVI value between 0% and 100% cropped area within that particular pixel.