Overview
Coastal erosion threatens land, homes, biodiversity, and balance. Monitoring coastal erosion has become costly and challenging with drones, aerial photography, and time-consuming field surveys.
- Satellite images and Open Data Cube (ODC) aid in monitoring coastal erosion over time, utilizing Landsat program data.
- With MNDWI, our team of experts separated land and water pixels, extracting shorelines effectively.
- The study highlights ODC’s capacity for survey analysis, providing insights and policy support for diverse environmental challenges.
Case
Increasingly changing climate conditions, rising temperatures, and decreasing precipitation has contributed to wildfires, droughts, hurricanes, and floods posing a serious threat to people and the planet. The devastating impact of climate change is no different in the coastal regions. Coastal erosion is one of the alarming aftermaths of human activities and environmental changes making the coastal dynamic action (wave, current, wind) lose balance in the coastal processes and the long-term loss of sediments of coastal zone leading to the destruction of coastline retreat and beach erosion.
At present, coastal erosion has become a very common phenomenon, resulting in the erosion of about 70 percent of the sandy coast worldwide. According to a technical report by India’s National Centre for Coastal Research (NCCR) under the Union Ministry of Earth Sciences, 32 percent of India’s coastline underwent sea erosion and 27 percent of it expanded between 1990 and 2018. As per the IPCC 6th assessment report, coastal areas will see continued sea-level rise throughout the 21st century, contributing to more frequent and severe coastal flooding in low-lying areas and coastal erosion. Extreme sea-level events that previously occurred once in 100 years could happen every year by the end of this century.
Challenges
Coastal land is being swallowed by seawater, and coastal villages and houses are forced to move inland, squeezing the living space of humans, destroying the beach biodiversity, and ecological balance, impacting directly and indirectly on human life and the natural environment. Over the years, monitoring of coastal erosion has become challenging and expensive using drones or aerial photography using airplanes. Field surveys are again time-consuming and the present covid scenario has made on-site visits chaotic.The difficulties encountered in analyzing and managing environmental degradation are:
- Expensive and challenging nature of coastal erosion monitoring
- Time-consuming and chaotic field surveys
Solution
The study analyses shorelines in detail and their evolution (erosion/accretion) associated with human intervention and climatic conditions.With the help of satellite images taken over the years, monitoring of coastal erosion is done. Using Open Data Cube (ODC) and satellite data from the Landsat program, coastal erosion can be studied. We’ve been able to successfully analyze coastal erosion along the shore of Trivandrum, Kerala, India using ODC. We have taken selected images from 2014 to 2021 rather than time-series (composite) images.
Using Modified Normalised Difference Water Index (MNDWI), we were able to separate land and water pixels and extract shorelines. MNDWI uses the ratio of green and mid-infrared radiation to identify the presence of water and helps identify the boundary between land and water pixels.
Based on this study,
- It is possible to successfully analyze and optimize surveys using ODC
- Gain new insights and support policies across diverse environmental challenges
Impact
Coastal changes are attracting more focus since they are important environmental indicators that directly impact coastal economic development and land management. The results from our study show the effect of coastal erosion and accretion over the years along the coast of Trivandrum. Rapid shoreline changes can create catastrophic social and economic problems along populated strands. This study proves the ease of use of open-source platforms like ODC to make informed decisions with respect to our environment.
- Analysis-ready data to manage the rapid shoreline changes that can induce catastrophic social and economic problems
- Derive digital information overlaid with environmental data for informed policies and decision making