83186

Long- Term Estimation of Actual Crop Evapotranspiration Based on Satellite Data Analysis

Article

Last updated: 03 Jan 2025

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Abstract

Abstract
Arid regions conditions are overwhelmed with various water scarcities problems, however, one of the reasons of this problems may be due to climate change effect. Moreover, under these conditions, water is a crucial key for any agricultural development processes. Therefore, the aim of this study was to estimate the actual evapotranspiration of different crop pattern under climate change conditions based on satellite data analysis for long time effect (1985 – 2019).
The study area is considered active agricultural area , the percentage of bare soil and vegetation cover were (86.9%) and (12.7) in 1985 while in 2019 the percentage of bare soil sharply decrease so it was reached to (34.1%) but the percentage of d vegetation cover was (64.2%).
Satellite images have been gathered and analyzed from Landsat TM, Landsat ETM+ and Landsat OLI, through the studied period. However, Normalized Difference Vegetation Index (NDVI) had been obtained for estimating the actual evapotranspiration under the studied area conditions. Planning and management of water use by irrigation agriculture are especially important in an arid and semiarid areas like the study area so the understanding of the Actual Evapotranspiration (AET) prerequisite for better management and conservation of agriculture water, By determine the area of every crop pattern, actual evapotranspiration (AET) was estimated by m3/ha/day and m3/total cultivated area/day.
Data analysis indicate that the minimum and maximum NDVI values had been ranged from 0.7 and 0.9 for mango trees from 1985 and 2019, 0.5 and 0.8 for olive trees, 0.4 and 0.8 for forests and 0.7 for annual crops within the studied period from 1985 to 2019. The minimum and maximum actual evapotranspiration under different crop pattern from 1985 to 2019 ranged from 2.6 and 4.9 mm/day, 1.7 and 4 mm/day, 1 to 4.4 mm/day and 2.7 mm/day for the same crop pattern respectively. This study can assist in water management practices for better irrigation management.

DOI

10.21608/ajs.2019.20410.1130

Keywords

Keywords: Reference Evapotranspiration (ETo), Crop Coefficient (Kc), Remote Sensing (RS) and land Surface Temperature (LST)

Authors

First Name

Mohamed

Last Name

Youssef

MiddleName

Abdou

Affiliation

Department of Agricultural Engineering , Faculty of Agriculture, Ain Shams University, Cairo, Egypt

Email

mohamedabdou25893@gmail.com

City

cairo

Orcid

0000-0002-5305-0410

First Name

Arfa

Last Name

yeser

MiddleName

-

Affiliation

Agricultural Engineering Department, Faculty of Agriculture, Ain Shams University, Egypt

Email

arafayeh11@gmail.com

City

-

Orcid

-

First Name

عبد الغني

Last Name

محمد الجندي

MiddleName

-

Affiliation

کلية الزراعة - جامعة عين شمس - مصر

Email

elgindy47@gmail.com

City

القاهره

Orcid

0000-0000-0000-0000

First Name

Mohamed

Last Name

El-sherbiny

MiddleName

Ahmed

Affiliation

Department of Agricultural Applications Division agricultural applications, soil and sea National Authority for Remote Sensing Science remote and Space Sciences

Email

mshirbeny@yahoo.com

City

-

Orcid

-

Volume

27

Article Issue

5

Related Issue

15678

Issue Date

2019-12-01

Receive Date

2019-12-02

Publish Date

2019-12-01

Page Start

2,501

Page End

2,512

Print ISSN

1110-2675

Online ISSN

2636-3585

Link

https://ajs.journals.ekb.eg/article_83186.html

Detail API

https://ajs.journals.ekb.eg/service?article_code=83186

Order

40

Type

Original Article

Type Code

668

Publication Type

Journal

Publication Title

Arab Universities Journal of Agricultural Sciences

Publication Link

https://ajs.journals.ekb.eg/

MainTitle

Long- Term Estimation of Actual Crop Evapotranspiration Based on Satellite Data Analysis

Details

Type

Article

Created At

22 Jan 2023