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Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices by Binte Mostafiz, Rubaiya (author);Noguchi, Ryozo (author);Ahamed, Tofael (author) is a Environmental Science article available to read on EtoBox.

What is Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices about?

Satellite remote sensing technologies have a high potential in applications for evaluating land conditions and can facilitate optimized planning for agricultural sectors. However, misinformed land selection decisions limit crop yields and increase production-related costs to farmers. Therefore, the purpose of this research was to develop a land suitability assessment system using satellite remote sensing-derived soil-vegetation indicators. A multicriteria decision analysis was conducted by integrating weighted linear combinations and fuzzy multicriteria analyses in a GIS platform for suitability assessment using the following eight criteria: elevation, slope, and LST vegetation indices (SAVI, ARVI, SARVI, MSAVI, and OSAVI). The relative priorities of the indicators were identified using a fuzzy expert system. Furthermore, the results of the land suitability assessment were evaluated by ground truthed yield data. In addition, a yield estimation method was developed using indices representing influential factors. The analysis utilizing equal weights showed that 43% of the land (1832 km2) was highly suitable, 41% of the land (1747 km2) was moderately suitable, and 10% of the land (426

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Author

Binte Mostafiz, Rubaiya (author);Noguchi, Ryozo (author);Ahamed, Tofael (author)

Publisher

MDPI AG

Published

2021

Language

EN

Field

Environmental Science (Physical Sciences)