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Cross-border analysis of grassland greenness in Asia: Climate variations, grazing pressure, and land policy change

Flagge der Europäischen Union mit dem Zusatz "Funded by the European Union"

Thematic complex:
Natural resource use
Project duration:
01.04.2018 - 31.03.2020
Investigated countries:
China, Mongolia, Kazakhstan, Uzbekistan, Turkmenistan, Tajikistan, Kyrgyzstan

The overall goal of project “CROSSGRASS” is to analyse the drivers and extent of the changes in grassland greenness, a proxy for plant growth, for the Dryland Asia’s grassland biome. We derived these insights from the combination of remote sensing data, agricultural statistics, and climate data with high spatial and temporal resolution. Using insights from past changes, we forecasted potential future developments under various alternative climate change scenarios.

The proposed research and training action will use a highly interdisciplinary approach that integrates remote sensing, statistical analysis, resource economics, and agricultural sciences. The scientific part of the action will be structured into the listed work packages:

(1)    Mapping dynamics of grassland greenness
(2)    Analysing the drivers of changes in grassland greenness
(3)    Exploring future scenarios of grassland greenness

Project partners


This project has received funds from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 795179.

Project Staff

Dr. Lijuan Miao (Project leader)

Prof. Dr. Daniel Müller
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Dr. Zhanli Sun
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