Remote sensing-based assessments of large river basins such as the Krishna, which supplies water to many states in India, are useful for operationally monitoring agriculture, especially basins that are affected by abiotic stress. Moderate-Resolution Imaging Spectroradiometer (MODIS) time series products can be used to understand cropland changes at the basin level due to abiotic stresses, especially water scarcity.

In dryland Africa, access to land and water resources are central to pastoral livelihood activities. Policy intervention in these regions represents the outcome of concerted post-independence processes in which countries have committed to land tenure transformation as a policy objective. This was meant to create private, liberal property rights to replace communal customary tenure systems which were considered to be a constraint to development. Despite these efforts, decades of scientific research indicate that countries are still struggling to meet environmental sustainability objectives.

The objective of this study was to examine whether the coupling of a land-use change (LUC) model with a carbon-stock accounting approach and participatory procedures can be beneficial in a data-limited environment to derive implications for environmental management. Stakeholder-based LUC scenarios referring to different storylines of agricultural intensification and reforestation were simulated to explore their impact on above-ground carbon (AGC) for a period of twenty years (2009–2029). The watershed of Mae Sa Mai, Northern Thailand was used as a case study for this purpose.