تفاصيل العمل

Monitoring large agricultural areas became a challenging task

for agronomists, especially in large agricultural investments

with different varieties. Remote sensing techniques

(specifically, Vegetation Indices) were created because they can

speed up the process and provide information that the human

eye cannot detect it.

The Normalized Difference Vegetation Index (NDVI) was

calculated for two separate months September, December in the

seasons (2019 and 2020) for a project in Barber, River Nile state

in Sudan, using Sentinel-2 multispectral satellite imagery. These

index indicate the vegetation.

A temporal analysis was used to highlight changes in vegetation

between the beginning of the season (September) and the end of

the season (December).

Images for both months were analysed, and difference maps were

constructed to show where the vegetation varied.

ملفات مرفقة

بطاقة العمل

اسم المستقل
عدد الإعجابات
0
عدد المشاهدات
12
تاريخ الإضافة