Syed M Irteza

Dr. Syed M Irteza

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 October 2020 in Remote Sensing
Verified
Journal Article
Open access
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Sawaid AbbasSawaid Abbas
Sawaid Abbas
MWMan Sing Wong
Man Sing Wong
JWJin Wu
Jin Wu
Naeem ShahzadNaeem Shahzad
Naeem Shahzad
SISyed M Irteza
Syed M Irteza
Tropical forests are acknowledged for providing important ecosystem services and are renowned as “the lungs of the planet Earth” due to their role in the exchange of gasses—particularly inhaling CO2 and breathing out O2—within the atmosphere. Overall, the forests provide 50% of the total plant biomass of the Earth, which accounts for 450–650 PgC globally. Understanding and accurate estimates of tropical forest biomass stocks are imperative in ascertaining the contribution of the tropical forests in global carbon dynamics. This article provides a review of remote-sensing-based approaches for the assessment of above-ground biomass (AGB) across the tropical forests (global to national scales), summarizes the current estimate of pan-tropical AGB, and discusses major advancements in remote-sensing-based approaches for AGB mapping. The review is based on the journal papers, books and internet resources during the 1980s to 2020. Over the past 10 years, a myriad of research has been carried out to develop methods of estimating AGB by integrating different remote sensing datasets at varying spatial scales. Relationships of biomass with canopy height and other structural attributes have developed a new paradigm of pan-tropical or global AGB estimation from space-borne satellite remote sensing. Uncertainties in mapping tropical forest cover and/or forest cover change are related to spatial resolution; definition adapted for ‘forest’ classification; the frequency of available images; cloud covers; time steps used to map forest cover change and post-deforestation land cover land use (LCLU)-type mapping. The integration of products derived from recent Synthetic Aperture Radar (SAR) and Light Detection and Ranging (LiDAR) satellite missions with conventional optical satellite images has strong potential to overcome most of these uncertainties for recent or future biomass estimates. However, it will remain a challenging task to map reference biomass stock in the 1980s and 1990s and consequently to accurately quantify the loss or gain in forest cover over the periods. Aside from these limitations, the estimation of biomass and carbon balance can be enhanced by taking account of post-deforestation forest recovery and LCLU type; land-use history; diversity of forest being recovered; variations in physical attributes of plants (e.g., tree height; diameter; and canopy spread); environmental constraints; abundance and mortalities of trees; and the age of secondary forests. New methods should consider peak carbon sink time while developing carbon sequestration models for intact or old-growth tropical forests as well as the carbon sequestration capacity of recovering forest with varying levels of floristic diversity.

1 January 2020 in Agricultural and Forest Meteorology
Verified
Journal Article
Closed access
Sawaid AbbasSawaid Abbas
Sawaid Abbas
Janet NicholJanet Nichol
Janet Nichol
GFGunter A. Fischer
Gunter A. Fischer
MWMan Sing Wong
Man Sing Wong
SISyed M Irteza
Syed M Irteza

1 January 2021 in Science of The Total Environment
Verified
Journal Article
Closed access
Sawaid AbbasSawaid Abbas
Sawaid Abbas
Janet NicholJanet Nichol
Janet Nichol
JZJinlong Zhang
Jinlong Zhang
GFGunter A. Fischer
Gunter A. Fischer
MWMan Sing Wong
Man Sing Wong
SISyed M Irteza
Syed M Irteza

9 September 2020 in Earth Systems and Environment
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Journal Article
Closed access
PDF file
SISyed M Irteza
Syed M Irteza
Janet NicholJanet Nichol
Janet Nichol
WSWenzhong Shi
Wenzhong Shi
Sawaid AbbasSawaid Abbas
Sawaid Abbas

23 April 2023 in Forests
Verified
Journal Article
Open access
PDF file
Sawaid AbbasSawaid Abbas
Sawaid Abbas
Janet NicholJanet Nichol
Janet Nichol
SISyed M Irteza
Syed M Irteza
MUMuhammad Usman
Muhammad Usman
In Hong Kong, as in many tropical areas, grasslands are maintained by fire on disturbed and abandoned land. However, Hong Kong’s native forests are regenerating in many areas, alongside frequent burning of the hillsides, and are in different stages of structural succession to closed canopy forest patches. Understanding the major determinants of secondary succession is a vital input to forest management policies. Given the importance of forests for biodiversity conservation, watershed protection and carbon cycling. This study examines the relationship between burning regimes and structural forest succession over 42 years from 1973 to 2015, using an archive of satellite images, aerial photographs and field plot data. Overlay of a fire frequency map with maps of forest structural classes at different dates indicates the number of fires undergone by each successional class as well as the time taken to progress from one class to another under different fire regimes. Results indicate that the native sub-tropical evergreen forests, which are naturally fire intolerant, can regenerate alongside moderate burning, and once the shrub stage is reached, succession to closed forest is relatively rapid and can occur within 13 years. More than one burn, however, is more destructive, and twice-burnt areas were seen to have only one-third of the woody biomass of once-burnt plots. The most frequent fires occurred in areas where mono-cultural plantations had been destroyed by disease in the 1960s and were subsequently invaded by grasslands. These former plantation areas remained in early successional stages of grass and open shrubland by 2015. Other plantations from the 1970s and 1980s remain as plantations today and have acted as a barrier to natural forest succession, attesting to the greater effectiveness of fire control over re-afforestation measures.

4 March 2021 in Arabian Journal of Geosciences
Verified
Journal Article
Closed access
PDF file
MUMuhammad Usman
Muhammad Usman
EHEjaz Hussain
Ejaz Hussain
URUmair Rabbani
Umair Rabbani
SGShahid Ghazi
Shahid Ghazi
SISyed M Irteza
Syed M Irteza
SGShamaila Gull
Shamaila Gull