An Approach for Monitoring and Classifying Marshlands Using Multispectral Remote Sensing Imagery in Arid and Semi-Arid Regions

نویسندگان

چکیده

Marshlands in arid and semi-arid areas are considered constantly changing environments due to unsecured water supplies as a result of high evapotranspiration limited highly variable rainfall. Classification marshlands these regions mapping their land cover is not an easy task maps need be upgraded frequently. Satellites provide enormous amounts information data for the continuous monitoring changes. The aim this paper introduce approach using multispectral satellite imagery that was adopted classify monitor Al Hammar Marsh (Iraq) over several years suggest relationship between Normalized Difference Vegetation Index (NDVI), Moisture (NDMI), Water (NDWI), Landsat 8 with resolution 30 m × m, validated Sentinel-2 datasets at 10 m. Six classes were used: (1) open water, (2) dry area, (3) dense vegetation, (4) medium-density (5) sparse (6) wet soil. Three indices, NDWI, NDMI, NDVI, chosen automatic classification each pixel creation time series maps. proposed method can efficiently used study different by adjusting thresholds NDWI. Overall, correlation all (R) about 0.78. Thus, will help preserve marshes through improved management.

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ژورنال

عنوان ژورنال: Water

سال: 2022

ISSN: ['2073-4441']

DOI: https://doi.org/10.3390/w14101523