Potential and Constraints of Geospatial Data for Precise Assessment of the Impacts of Climate Change at Landscape Level

There is plethora of data to support the evidence of human footprints on the climate change being observed across all the continents. The climate change shall have impacts, not only on environment, but on every sphere of the human activity. Therefore, there is an urgent need to accurately characterize, understand and predict various climatological processes so that the uncertainty could be narrowed down to the minimum possible level in order to predict the impacts of climate change on various sectors. This article briefly discusses the uncertainties associated with the climate change predictions and the data constraints encountered while quantifying the various indicators and impacts of climate change particularly with reference to snow, glaciers, wetlands and agriculture and hydrometeorological data. The article discusses various data sources and the difficulties encountered in using these data particularly remotely sensed data, simulation models and hydrometeorological data used for identifying the indicators of climate change.