Despite the significance of drought as an important driver of ecological and evolutionary dynamics, we cannot overemphasise the current understanding of the environmental and ecosystem consequences of drought. Drought disaster is one of the key factors restricting vegetation development of several species in a wide variety of ecosystems. The goal of this study is to appraise drought disaster events using space-based information towards drought risk management for ecosystems and environmental conservation. The outcome of this study provides measures that will prevent and reduce disaster exposure and vulnerability to its occurrence, increase preparedness for response and thus strengthen disaster resilience in the Free State Province, South Africa. Drought disasters in Free State Province, South Africa were explored through various interdependent research segments. The first segment appraised the scientific community research on Disaster Risk Reduction (DRR) and Disaster Risk Management (DRM) to identify their evolutionary trajectory during the period of investigation. This study highlighted five of the various innovations that can be highly useful in DRR and DRM practice, these include Geographic Information System (GIS) and remote sensing, disaster risk insurance, Social Networking Systems (SNS), and materials that are resilient to disasters. Such technologies are considered very successful, but they are not always easy to implement. The second segment of the study explored the rich tapestry of studies on drought disasters, drought vulnerability, drought severity and water shortage (DDVS_WS), taking into account the critical situation and circumstance posed by drought in line with the shortage in water supplies. Based on the top themes, findings revealed that drought and climate change are at the centre of issues related to drought and water shortage, this provides a hint on the relatedness of drought and climate change for further studies. Thirdly, spatio-environmental distribution of drought disaster events in the Free State Province was assessed based on Terra-MODIS Vegetation Index using R programming. Results revealed that the study area experienced drought disaster in years 2016, 2017 and 2018, however, it was more evident in January, February, October, November and December during the period. The southern regions of the study area witnessed more drought disaster conditions and its occurrence, where most of the areas witnessed below 20% drought index (severe to extreme drought conditions) especially in the affected months. In the fourth segment, satellite-based applications in drought disaster assessment using terra MOD13Q1 data across the study area were explored. The results revealed and identified the years that were water-stressed in the study area, which indicated low vegetation abundance and high temperature in the Free State Province occurred in 2000, 2008, and 2009. The result also showed that the summer season over large parts of the study region is characterised by moderate to extreme drought while winter seasons have light drought conditions during the same time. The fifth section assessed drought disaster by utilising space-based data and R programming for drought years in the study area. Results revealed that the study area witnessed drought events in the year 2003 where March, August, September, October, November and December were more affected by drought disaster events. It was further observed that February and March were affected by extreme drought conditions in the year 2007. In the year 2012, January, October, November and December, there exist moderate to severe drought conditions in the study area where some regions were more affected than others. In the sixth segment, remote sensing data and regional climate scenario Representative Concentration Pathways of the Coordinated Regional Climate Downscaling Experiment (CORDEX) were used to assess the future climate scenario from 2006 to 2050 using python script. The result showed that the entire study area was severely affected by drought disasters in the years 2015, 2003, 2005 and 2018 with drought condition index ranges between 40 and 0%, across the area, where most of the water-reliant sectors might have been affected during the period based on MODIS data. In the seventh segment, navigation of nature’s complexities through Terra MODIS information and downscaled regional climate model was examined. The result showed that from -24.5 to -25.5 latitude, the area witnessed a decrease in precipitation (80 to 120mm) across the time slice and an increase in the latitude -26° to -28° S for summer seasons, which is more prominent in the year 2041 to 2050. Finally, drought disaster monitoring and Land use dynamics as well as the identification of drought drivers using regression-based algorithms were examined in the last segment. As demonstrated in this study, drought disasters in the Free State Province and its associated impacts on the natural resources call for action especially by the strategy initiators and policy-making bodies. Despite the fact that climate unpredictability may provide some benefits, the majority of the consequences will almost certainly be negative, particularly for low-income areas that rely on natural resources for survival. The frequency and scope of drought disasters, as well as their effects on society, appear to indicate that current coping and response mechanisms may be insufficient to mitigate such risk impacts, and may be tragically inadequate if long-term drought disaster adaptation and management are not available.