Arid
DOI10.3390/rs12122008
A Review of Terrestrial Carbon Assessment Methods Using Geo-Spatial Technologies with Emphasis on Arid Lands
Issa, Salem1; Dahy, Basam1; Ksiksi, Taoufik2; Saleous, Nazmi3
通讯作者Issa, Salem
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2020
卷号12期号:12
英文摘要Geo-spatial technologies (i.e., remote sensing (RS) and Geographic Information Systems (GIS)) offer the means to enable a rapid assessment of terrestrial carbon stock (CS) over large areas. The utilization of an integrated RS-GIS approach for above ground biomass (AGB) estimation and precision carbon management is a timely and cost-effective solution for implementing appropriate management strategies at a localized and regional scale. The current study reviews various RS-related techniques used in the CS assessment, with emphasis on arid lands, and provides insight into the associated challenges, opportunities and future trends. The study examines the traditional methods and highlights their limitations. It explores recent and developing techniques, and identifies the most significant RS variables in depicting biophysical predictors. It further demonstrates the usefulness of geo-spatial technologies for assessing terrestrial CS, especially in arid lands. RS of vegetation in these ecosystems is constrained by unique challenges specific to their environmental conditions, leading to high inaccuracies when applying biomass estimation techniques developed for other ecosystems. This study reviews and highlights advantages and limitations of the various techniques and sensors, including optical, RADAR and LiDAR, that have been extensively used to estimate AGB and assess CS with RS data. Other new methods are introduced and discussed as well. Finally, the study highpoints the need for further work to fill the gaps and overcome limitations in using these emerging techniques for precision carbon management. Geo-spatial technologies are shown to be a valuable tool for estimating carbon sequestered especially in difficult and remote areas such as arid land.
英文关键词forest biomass biophysical parameters GIS remote sensing carbon sequestration carbon stock
类型Review
语种英语
国家U Arab Emirates
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000550363500001
WOS关键词ABOVEGROUND BIOMASS ESTIMATION ; REMOTE-SENSING APPLICATIONS ; COVER CHANGE DETECTION ; LEAF-AREA INDEX ; OIL PALM ; ALLOMETRIC EQUATIONS ; VEGETATION COVER ; ALOS PALSAR ; SEMIARID ECOSYSTEMS ; SPECIES COMPOSITION
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/319760
作者单位1.UAE Univ, Dept Geosci, Coll Sci, Al Ain, U Arab Emirates;
2.UAE Univ, Dept Biol, Coll Sci, Al Ain, U Arab Emirates;
3.UAE Univ, Dept Geog, Coll Sci, Al Ain, U Arab Emirates
推荐引用方式
GB/T 7714
Issa, Salem,Dahy, Basam,Ksiksi, Taoufik,et al. A Review of Terrestrial Carbon Assessment Methods Using Geo-Spatial Technologies with Emphasis on Arid Lands[J],2020,12(12).
APA Issa, Salem,Dahy, Basam,Ksiksi, Taoufik,&Saleous, Nazmi.(2020).A Review of Terrestrial Carbon Assessment Methods Using Geo-Spatial Technologies with Emphasis on Arid Lands.REMOTE SENSING,12(12).
MLA Issa, Salem,et al."A Review of Terrestrial Carbon Assessment Methods Using Geo-Spatial Technologies with Emphasis on Arid Lands".REMOTE SENSING 12.12(2020).
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