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Estimation of Sudan Net Primary Productivity Based on Satellite Remote Sensing Data

Sona Mohammed Fadoul1

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.8 , pp.8-13, Aug-2022


Online published on Aug 31, 2022


Copyright © Sona Mohammed Fadoul . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Sona Mohammed Fadoul, “Estimation of Sudan Net Primary Productivity Based on Satellite Remote Sensing Data,” International Journal of Scientific Research in Multidisciplinary Studies , Vol.8, Issue.8, pp.8-13, 2022.

MLA Style Citation: Sona Mohammed Fadoul "Estimation of Sudan Net Primary Productivity Based on Satellite Remote Sensing Data." International Journal of Scientific Research in Multidisciplinary Studies 8.8 (2022): 8-13.

APA Style Citation: Sona Mohammed Fadoul, (2022). Estimation of Sudan Net Primary Productivity Based on Satellite Remote Sensing Data. International Journal of Scientific Research in Multidisciplinary Studies , 8(8), 8-13.

BibTex Style Citation:
@article{Fadoul_2022,
author = {Sona Mohammed Fadoul},
title = {Estimation of Sudan Net Primary Productivity Based on Satellite Remote Sensing Data},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {8 2022},
volume = {8},
Issue = {8},
month = {8},
year = {2022},
issn = {2347-2693},
pages = {8-13},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=2910},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=2910
TI - Estimation of Sudan Net Primary Productivity Based on Satellite Remote Sensing Data
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - Sona Mohammed Fadoul
PY - 2022
DA - 2022/08/31
PB - IJCSE, Indore, INDIA
SP - 8-13
IS - 8
VL - 8
SN - 2347-2693
ER -

173 Views    169 Downloads    45 Downloads
  
  

Abstract :
Under the current climate change problem, managing natural resources sustainably is critical, thus can be achieve through accurate estimation of net primary productivity by using remote sensing data which can offer better describe for spatial distribution of plant resources. Using climate- vegetation models to estimate spatial patterns of Sudan net primary productive have rarely been studied. The study aims to estimate spatio-temporal variation of net primary product ivy across Sudan for the time period 1970 to 2000. In this study for accurate estimation of net primary productivity (NPP) Miami model was used, the model is generated with long-term meteorological monitoring data. The models estimate mean annual NPP based on mean annual temperature and mean annual precipitation. The results showed that the main annual NPP of Sudan for the time period 1970 to 2000 is 149 g C m–2 yr–1. The NPP values increase from North down word to South with the increasing in precipitation and temperature. The distributions of the NPP values are; the southern part of the study area characterized by high NPP values more than 136 g C m–2 yr–1, while the Northern part represent low NPP value 99 g C m–2 yr–1, and the moderate NPP values 129 g C m–2 yr–1 were concentrated in the central part of the study area. This study, in addition to promotes net primary productivity research in Sudan, it’s also play key role in global carbon cycle research and resource management plans, especially in the arid and semi-arid environment as the situation of the most part of the study area.

Key-Words / Index Term :
Net primary productivity, Sudan, Miami model, temperature, precipitation.

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