DETECTION OF SOIL SALINITY USING GIS TECHNOLOGIES AND REMOTE SENSING
Аннотация
The detection and management of soil salinity pose significant challenges to agricultural sustainability and land productivity. In this article, we explore the pivotal role of Geographic Information System (GIS) technologies and remote sensing in addressing the imperative need for accurate and efficient soil salinity detection. By capitalizing on the spatial analysis capabilities of GIS and the spectral information provided by remote sensing, stakeholders can gain valuable insights into soil salinity distribution across diverse landscapes.
Through the utilization of multispectral and hyperspectral remote sensing technologies, the spectral signatures associated with saline soils can be discerned, allowing for the identification and mapping of soil salinity at varying spatial scales. The integration of machine learning and artificial intelligence further augments the capabilities of these technologies, enabling automated and precise detection of soil salinity, thus empowering stakeholders with actionable information for targeted interventions.
This article delves into the methodologies, tools, and advancements in GIS and remote sensing that underpin soil salinity detection, emphasizing their pivotal role in informing agricultural management practices, land-use planning, and environmental sustainability. By elucidating the transformative potential of these technologies, this article serves to underscore their significance in addressing the multifaceted challenges posed by soil salinity, while charting a path towards enhanced agricultural resilience and land stewardship
Библиографические ссылки
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