Mapping Variations in Corn Growth in a Rain-Fed Crop Field using Growing Season NDVI and NDMI Images

Abstract. Relying on spring and summer rainfall, numerous Illinois farmers grow corn and soybeans. As a result, farmers cannot precisely manage their crops’ water intake and are interested in monitoring crop growth and uniformity within each field. Using Landsat-derived Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) images distributed by the US Geological Survey for the 2023 growing season growth in a 29.2-hectare field planted to corn and a 93.5-hectare field planted to soybeans were monitored. Visual and spectral analyses of the NDVI and NDMI images revealed that variations in crop growth were related to changes in elevation, which corresponded to the water holding capacity at higher and lower elevations. The NDVI and NDMI images identified the repairs done to a tile in spring 2023 as well as wet and nonproductive areas within the fields.

Authors

Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2026-04-30
DOI
https://doi.org/10.5194/isprs-archives-xlviii-m-10-2025-51-2026
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

Mapping Variations in Corn Growth in a Rain-Fed Crop Field using Growing Season NDVI and NDMI Images

R. Anderson, R. Sivanpillai
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Remote Sensing in Agriculture
article

Mapping Variations in Corn Growth in a Rain-Fed Crop Field using Growing Season NDVI and NDMI Images

R. Anderson, R. Sivanpillai
article en

Abstract

Abstract. Relying on spring and summer rainfall, numerous Illinois farmers grow corn and soybeans. As a result, farmers cannot precisely manage their crops’ water intake and are interested in monitoring crop growth and uniformity within each field. Using Landsat-derived Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) images distributed by the US Geological Survey for the 2023 growing season growth in a 29.2-hectare field planted to corn and a 93.5-hectare field planted to soybeans were monitored. Visual and spectral analyses of the NDVI and NDMI images revealed that variations in crop growth were related to changes in elevation, which corresponded to the water holding capacity at higher and lower elevations. The NDVI and NDMI images identified the repairs done to a tile in spring 2023 as well as wet and nonproductive areas within the fields.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-M-10-2025
Zero hunger
Openalex Percentile: Top 9%
Remote Sensing in Agriculture
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