Volume : 11, Issue : 2, FEB 2025

APPLICATIONS OF REMOTE SENSING AND GIS IN NATURAL RESOURCE MANAGEMENT

DR. ANURADHA LAKRA

Abstract

Remote Sensing (RS) and Geographic Information Systems (GIS) are pivotal in natural resource management, enabling efficient monitoring, analysis, and sustainable planning. RS technology provides accurate and real-time data through satellite imagery and aerial photography, offering insights into land use, vegetation cover, water resources, and climate patterns. GIS integrates this spatial data with other datasets, facilitating comprehensive mapping, modeling, and decision-making. These tools are essential for biodiversity conservation, forest management, agriculture, water resource assessment, and disaster mitigation. For example, RS aids in detecting deforestation and desertification, while GIS supports land suitability analysis and habitat mapping. Together, RS and GIS help identify environmental changes, predict resource availability, and develop adaptive management strategies. Their application ensures sustainable utilization, conservation, and restoration of natural resources, addressing global challenges like climate change and resource depletion. This synergy of technology enhances informed decision-making and promotes the long-term sustainability of ecosystems.

Article : Download PDF

Cite This Article

-

Article No : 5

Number of Downloads : 331

References

1. Batchelor, W.D., Basso, B., & Paz, J.O., 2002. Examples of strategies to analyze spatial and temporal yield variability using crop models. Eur. J. Agron. 18, 141–158.

2. Ford, T. W. and Harris, E. & Quiring, S. M., 2014. Estimating root zone soil moisture using near-surface observations from SMOS. Journal of Hydrology and Earth System Sciences, 18 (1): 139-154. doi: 10.5194/hess-18-139-2014.

3. Gopal Krishan . Kushwaha S.P.S.. & Velmurugan, A. 2009. Land Degradation Mapping in the Upper Catchment of River Tons J. Indian Soc. Remote Sens. 37:49–59

4. Michailidis, A., Mattas, K., Tzouramani, I. & Karamouzis, D., 2009. A Socioeconomic Valuation of an Irrigation System Project Based on Real Option Analysis Approach, Water Resources Management, 23 (10), 1989-1919.

5. Priya, S., & Shibasaki, R., 2001. National spatial crop yield simulation using GIS-based crop production model. Ecological Modelling, 136 (2), 113-129.

6. Velmurugan A. & Carlos, G. G. 2009. Soil Resource Assessment and Mapping using Remote Sensing and GIS. J. Indian Soc. Remote Sens. 37:537–547