THE RELIABILITY TEST OF USING THE MODERATE SATELLITE IMAGES FOR METALS CONTAMINATED CORN PLANTS DETECTION IN THE NILE DELTA, EGYPT
For the synoptic assessment of corn plants content of Ca, and K accurate monitoring of land surface dynamics using remote sensing is needed. We looked at a full resolution dataset from the Medium Resolution satellite Imaging (Sentinel-2) as an open source as an alternative to the costly high resolut...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Agricultural Sciences and Veterinary Medicine, Bucharest
2021-01-01
|
| Series: | Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development |
| Online Access: | https://managementjournal.usamv.ro/pdf/vol.21_3/Art14.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850099800119181312 |
|---|---|
| author | Mayie M. AMER Atef M. ELSBAAY |
| author_facet | Mayie M. AMER Atef M. ELSBAAY |
| author_sort | Mayie M. AMER |
| collection | DOAJ |
| description | For the synoptic assessment of corn plants content of Ca, and K accurate monitoring of land surface dynamics using remote sensing is needed. We looked at a full resolution dataset from the Medium Resolution satellite Imaging (Sentinel-2) as an open source as an alternative to the costly high resolution the more widely used high-resolution satellite Imaging (Worldview2) data for vegetation monitoring. We compared Sentinel-2 image and Worldview 2 data acquired in 2018 with in situ measured hyperspectral data and metal concentrations in plant samples collected from fields in the study area for this purpose. The current research was conducted on the experimental site during the 2018 corn cropping season (Zea Mayz). Results indicated that: The Difference Vegetation Index (DVI), the Enhanced Vegetation Index (EVI), the Green Normalized Difference Vegetation Index (GNDVI), and the Leaf Area Index (LAI) were the more sensitive indicators to Ca and K above ground corn plants content. These VIs had R2 values more than 0.5 with the in-situ measurements for the both images. DVI, EVI, and GNDVI performed well in estimating plant dry matter Ca and K content with R2 > 0.5, with a high significant level P-value < 0.001and LAI had a statistically significant impact with a P-value < 0.5 for WV2 image. The Sentinel-2 VIs performed well in estimating plant dry matter Ca and K content with R2 values > 0.5, with a high significant level P-value 0.001. LAI had a statistically significant impact with a P-value < 0.5 with Ca concentration and P-value < 0.01 with K concentration. This study suggests that the moderate resolution satellite images can be used for corn plants Ca and K content. |
| format | Article |
| id | doaj-art-7c3d33599d1b4dd4b9b5116419c0ce2d |
| institution | DOAJ |
| issn | 2284-7995 2285-3952 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | University of Agricultural Sciences and Veterinary Medicine, Bucharest |
| record_format | Article |
| series | Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development |
| spelling | doaj-art-7c3d33599d1b4dd4b9b5116419c0ce2d2025-08-20T02:40:25ZengUniversity of Agricultural Sciences and Veterinary Medicine, BucharestScientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development2284-79952285-39522021-01-012131371421290THE RELIABILITY TEST OF USING THE MODERATE SATELLITE IMAGES FOR METALS CONTAMINATED CORN PLANTS DETECTION IN THE NILE DELTA, EGYPTMayie M. AMERAtef M. ELSBAAYFor the synoptic assessment of corn plants content of Ca, and K accurate monitoring of land surface dynamics using remote sensing is needed. We looked at a full resolution dataset from the Medium Resolution satellite Imaging (Sentinel-2) as an open source as an alternative to the costly high resolution the more widely used high-resolution satellite Imaging (Worldview2) data for vegetation monitoring. We compared Sentinel-2 image and Worldview 2 data acquired in 2018 with in situ measured hyperspectral data and metal concentrations in plant samples collected from fields in the study area for this purpose. The current research was conducted on the experimental site during the 2018 corn cropping season (Zea Mayz). Results indicated that: The Difference Vegetation Index (DVI), the Enhanced Vegetation Index (EVI), the Green Normalized Difference Vegetation Index (GNDVI), and the Leaf Area Index (LAI) were the more sensitive indicators to Ca and K above ground corn plants content. These VIs had R2 values more than 0.5 with the in-situ measurements for the both images. DVI, EVI, and GNDVI performed well in estimating plant dry matter Ca and K content with R2 > 0.5, with a high significant level P-value < 0.001and LAI had a statistically significant impact with a P-value < 0.5 for WV2 image. The Sentinel-2 VIs performed well in estimating plant dry matter Ca and K content with R2 values > 0.5, with a high significant level P-value 0.001. LAI had a statistically significant impact with a P-value < 0.5 with Ca concentration and P-value < 0.01 with K concentration. This study suggests that the moderate resolution satellite images can be used for corn plants Ca and K content.https://managementjournal.usamv.ro/pdf/vol.21_3/Art14.pdf |
| spellingShingle | Mayie M. AMER Atef M. ELSBAAY THE RELIABILITY TEST OF USING THE MODERATE SATELLITE IMAGES FOR METALS CONTAMINATED CORN PLANTS DETECTION IN THE NILE DELTA, EGYPT Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development |
| title | THE RELIABILITY TEST OF USING THE MODERATE SATELLITE IMAGES FOR METALS CONTAMINATED CORN PLANTS DETECTION IN THE NILE DELTA, EGYPT |
| title_full | THE RELIABILITY TEST OF USING THE MODERATE SATELLITE IMAGES FOR METALS CONTAMINATED CORN PLANTS DETECTION IN THE NILE DELTA, EGYPT |
| title_fullStr | THE RELIABILITY TEST OF USING THE MODERATE SATELLITE IMAGES FOR METALS CONTAMINATED CORN PLANTS DETECTION IN THE NILE DELTA, EGYPT |
| title_full_unstemmed | THE RELIABILITY TEST OF USING THE MODERATE SATELLITE IMAGES FOR METALS CONTAMINATED CORN PLANTS DETECTION IN THE NILE DELTA, EGYPT |
| title_short | THE RELIABILITY TEST OF USING THE MODERATE SATELLITE IMAGES FOR METALS CONTAMINATED CORN PLANTS DETECTION IN THE NILE DELTA, EGYPT |
| title_sort | reliability test of using the moderate satellite images for metals contaminated corn plants detection in the nile delta egypt |
| url | https://managementjournal.usamv.ro/pdf/vol.21_3/Art14.pdf |
| work_keys_str_mv | AT mayiemamer thereliabilitytestofusingthemoderatesatelliteimagesformetalscontaminatedcornplantsdetectionintheniledeltaegypt AT atefmelsbaay thereliabilitytestofusingthemoderatesatelliteimagesformetalscontaminatedcornplantsdetectionintheniledeltaegypt AT mayiemamer reliabilitytestofusingthemoderatesatelliteimagesformetalscontaminatedcornplantsdetectionintheniledeltaegypt AT atefmelsbaay reliabilitytestofusingthemoderatesatelliteimagesformetalscontaminatedcornplantsdetectionintheniledeltaegypt |