Satellite data spectral analysis under critical hydrogeological-amelioratory conditions of Golodnostepsky irrigation lands
نویسندگان
چکیده
The article presents the analysis of widespread spectral indexes results Earth remote sensing data thematic processing to reveal most representative one for applying under conditions critical increase groundwater level and salinity as well salinized soil. Long-term monitoring multispectral images LandSat-8 satellite were collected Golodnostepsky irrigation land. Sites with disturbing ameliorative identified using GIS. 74 sites comply this criterion where cotton, rice, cucurbits crops are cultivated. Seasonal region covering emphasised processed calculated: NDVI, SAVI, MSAVI-2, GEMI, ARVI, IPVI, MTVI, TDVI, NDWI, MNDWI, NDSI. following turned out be informative vegetation indexes: NDVI (yearly changes variation range 0.40) SAVI 0.44). At same time least became IPVI 0.19) GEMI 0.11). It was shown that highly correlated amount precipitation, an average air temperature crop yield. Among water indexes, NDWI 0.32) more preferable than MNDWI 0.15). information value index NDSI sample low 0.17), which can explained by agricultural activity at site research (ploughing, sprouting, vegetation, saline washing, etc.)
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ژورنال
عنوان ژورنال: E3S web of conferences
سال: 2023
ISSN: ['2555-0403', '2267-1242']
DOI: https://doi.org/10.1051/e3sconf/202340702005