Geo-spatial Tools for Assessing Soil Fertilty: A Review
Sangya Singh *
Jawaharlal Nehru Krishi Vishwa Krishi Vishwa Vidyalaya, Jabalpur, 482008, India.
Vishakha Rai
Jawaharlal Nehru Krishi Vishwa Krishi Vishwa Vidyalaya, Jabalpur, 482008, India.
Sunil Upadhyay
Jawaharlal Nehru Krishi Vishwa Krishi Vishwa Vidyalaya, Jabalpur, 482008, India.
Shubham Singh
Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, 474002, India.
*Author to whom correspondence should be addressed.
Abstract
Soil, as a precious non-renewable resource, plays a pivotal role in agricultural productivity, making the improvement of soil fertility a paramount objective. To ensure soil health and optimize resource utilization for food production while mitigating negative environmental impacts in the face of climate change, it is crucial to gather geographical information on soil and its fertility levels. This is where remote sensing (RS) and Geographic Information System (GIS) technologies, particularly high-resolution satellite data and geostatistical methods, have proven highly effective.
Historically, most studies focused on evaluating a limited set of soil properties to gauge quality or fertility levels. However, it is now evident that adopting a holistic approach by integrating multiple soil indicators encompassing chemical, biological, and physical aspects is essential. Such a comprehensive assessment can offer valuable insights into specific land management techniques and environmental conditions, enabling better decision-making.
In light of this necessity, the utilization of high-resolution remote sensing data in conjunction with ground observations has become pivotal in mapping and tracking soil fertility. RS and GIS technologies provide detailed, spatially explicit information, facilitating large-scale soil assessments and identifying trends and patterns over time. This integration empowers researchers and land managers to implement sustainable agricultural practices and conservation efforts, ultimately maximizing food production while preserving the environment.
By harnessing the power of RS and GIS technologies, researchers can gain a deeper understanding of soil health, facilitating the development of effective land management strategies and resource utilization practices.
In conclusion, the amalgamation of high-resolution remote sensing data and ground observations is crucial for comprehensive soil fertility assessment. This approach contributes significantly to sustainable land management, ensuring food security, and safeguarding our invaluable soil resource amidst the challenges posed by climate change.
Keywords: Remote sensing, GIS, soil fertility, soil properties, spectral reflectance