Disaster Preparedness and capacity building for Resilience in Agriculture

• Published in: International archives of the photogrammetry, remote sensing and spatial information sciences. remote sensing and spatial information sciences., 2024-11, Vol.XLVIII-5-2024, p.17-22
• Main Authors: Goswami, Jonali, Senpakapriya, V., Goswami, Chandan, Sarma, Kamini Kanta, Aggarwal, Shiv Prasad
• Format: Article
• Language: English
• Subjects: Adaptive management; Agricultural practices; Agriculture; Alternative planning; Artificial intelligence; Capacity development; Climate; Climate-smart agriculture; Crop diversification; Cyclones; Decision support systems; Developing countries; Disaster management; Disaster recovery; Disasters; Drought; Early warning systems; Emergency communications systems; Emergency preparedness; Emergency warning programs; Extreme weather; Flood management; Food production; Land management; LDCs; Livelihoods; Natural disasters; Pests; Recovery; Resilience; Resource allocation; Risk assessment; Soil erosion; Sustainability; Sustainability management; Sustainable agriculture; Sustainable practices; Technology assessment; Warning systems
• ISSN: 2194-9034; 1682-1750; 2194-9034
• DOI: 10.5194/isprs-archives-XLVIII-5-2024-17-2024

Agriculture faces unprecedented challenges due to the increasing frequency and severity of natural disasters and extreme weather events. Agriculture sector needs resilience to support food production and livelihoods because it is susceptible to cyclones, floods, droughts, soil erosion, pests, and disease outbreaks. Geospatial technology plays a significant role in disaster management for agriculture, offering tools for preparedness, response, and recovery. This study explores the role of geospatial technology in early warning systems and risk assessment for different types of natural disasters that impact agriculture activity. Sustainable farming practices that are essential for resilience include crop diversity, climate-resilience varieties, and adaptation strategies. Capacity building and training are vital for effective geospatial technology utilization, especially in developing countries like India, where infrastructure and technology access may be limited. Tailored capacity-building programs are essential, emphasizing climate-smart practices, sustainable land management, and post-disaster recovery strategies. Access to financial services and insurance schemes enhances resilience by helping farmers cope with losses and recover from disasters. In order to improve resilience and sustainability in agriculture, geospatial decision support systems make it possible to evaluate alternative planning, optimise resource allocation, and implement adaptive management.