Remote Sensing of Biomass in the Miombo Woodlands of Southern Africa: Opportunities and Limitations for Research

Ribeiro, Natasha; Cumbana, Micas; Mamugy, Faruk; Chaúque, Aniceto

doi:10.5772/16608

Cited by 10 publications

(24 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The woodlands are also very important to the national economies as they provide timber for exportation. From the environmental point of view Miombo is determinant to energy, carbon and water balance [3,5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Miombo Woodlands Research Towards the Sustainable Use of Ecosystem Services in Southern Africa

Ribeiro¹,

Syampungani²,

Matakala³

et al. 2015

Biodiversity in Ecosystems - Linking Structure and Function

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

“…2.7 million km 2 across seven countries: Tanzania and the Democratic Republic of Congo (DRC) in the north, Angola and Zambia in the east, and Malawi, Zimbabwe and Mozambique in the south [2][3][4] (Figure 1). It is one of the most important ecosystems in the world, playing an important role at the social, economic and environmental levels.…”

Section: Introductionmentioning

confidence: 99%

Miombo Woodlands Research Towards the Sustainable Use of Ecosystem Services in Southern Africa

Ribeiro¹,

Syampungani²,

Matakala³

et al. 2015

Biodiversity in Ecosystems - Linking Structure and Function

View full text Add to dashboard Cite

“…Bark and seeds: signiicant cytotoxicity against a human breast cancer cell line [48] Heartwood: mono-, di-, and trilavonoids; leaves: beta-sitosterol and stigmasterol; aerial part: essential oils that comprise mainly alpha-pinene and limonene; bark and seeds: diterpenes, including dihydrogrindelaldehyde [48] Allozyme markers [83] Seeds: anti-inlammatory and antioxidant activities [95] Bark and seeds: signiicant cytotoxic activity against a human breast cancer cell line (aldehyde) [96] Bark and seeds: three new diterpenes isolated [96] Oligomeric lavonoids [97] Leaves: antimicrobial activity [49] Seed husks and leaves: ive labdane (1)(2)(3)(4)(5), an isolabdane (6), and ive clerodane diterpenoids (7)(8)(9)(10)(11) [49] [35]. The bark is dark gray to brown, rough, and longitudinally issured.…”

Section: No Studies Reportedmentioning

confidence: 99%

Biodiversity Studies in Key Species from the African Mopane and Miombo Woodlands

Moura¹,

Maquia²,

Rija³

et al. 2017

Genetic Diversity

Self Cite

View full text Add to dashboard Cite

The Southern African Miombo-Mopane woodlands are globally considered as ecosystems with irreplaceable species endemism, being the most important type of vegetation in the region. Among the approximately 8500 plant species, legume trees play a crucial role in biodiversity dynamics, being also key socioeconomic and environmental players. From the ecological point of view, they contribute signiicantly to ecosystem's stability as well as to water, carbon, and energy balance. Additionally, legume species represent an immensurable source of timber and nontimber products. Research in Miombo-Mopane biodiversity has been mainly focused on the analysis of ecosystem drivers by means of ecological parameters and models, lacking interdisciplinary with relevant cross-cuting tools, such as the application of molecular markers to assess genetic diversity within the region. In this chapter, the applications and biodiversity dynamics of typical legume species from Miombo (Brachystegia spp., Julbernardia globilora, and Pterocarpus angolensis) and Mopane (Colophospermum mopane) are reviewed. Gaps and challenges are also brought forward in the context of the lack of genetic diversity assessments and the need of an efective and coordinated network of interdisciplinary research.

show abstract

“…More recently, there has been an increased use of medium resolution satellite data, such as Landsat Thematic Mapper (TM) and Enhanced Landsat Thematic Mapper (ETM+) imagery, since the datasets are available for free [7]. Although Landsat data have improved forest cover mapping in tropical evergreen rainforest ecosystems [8,9], woodland cover mapping remains a challenge in the Miombo ecosystem [10]. This is mainly attributed to a number of environmental and anthropogenic factors.…”

Section: Introductionmentioning

confidence: 99%

“…Spectral mixture analysis classifiers (which assume that a pixel's spectrum is a linear combination of spectral distinct endmembers) [19,20] have been recommended to map woodland cover in the dry Miombo ecosystems [10]. While spectral mixture analysis classifiers have been relatively successful for mapping land cover in the Brazilian Cerrado [10,21], the classifiers have some limitations [22].…”

Section: Introductionmentioning

confidence: 99%

Mapping Woodland Cover in the Miombo Ecosystem: A Comparison of Machine Learning Classifiers

Kamusoko¹,

Gamba²,

Murakami

2014

Land

View full text Add to dashboard Cite

Miombo woodlands in Southern Africa are experiencing accelerated changes due to natural and anthropogenic disturbances. In order to formulate sustainable woodland management strategies in the Miombo ecosystem, timely and up-to-date land cover information is required. Recent advances in remote sensing technology have improved land cover mapping in tropical evergreen ecosystems. However, woodland cover mapping remains a challenge in the Miombo ecosystem. The objective of the study was to evaluate the performance of decision trees (DT), random forests (RF), and support vector machines (SVM) in the context of improving woodland and non-woodland cover mapping in the Miombo ecosystem in Zimbabwe. We used Multidate Landsat 8 spectral and spatial dependence (Moran's I) variables to map woodland and non-woodland cover. Results show that RF classifier outperformed the SVM and DT classifiers by 4% and 15%, respectively. The RF importance measures show that multidate Landsat 8 spectral and spatial variables had the greatest influence on class-separability in the study area. Therefore, the RF classifier has potential to improve woodland cover mapping in the Miombo ecosystem.

show abstract

Remote Sensing of Biomass in the Miombo Woodlands of Southern Africa: Opportunities and Limitations for Research

Cited by 10 publications

References 59 publications

Miombo Woodlands Research Towards the Sustainable Use of Ecosystem Services in Southern Africa

Miombo Woodlands Research Towards the Sustainable Use of Ecosystem Services in Southern Africa

Biodiversity Studies in Key Species from the African Mopane and Miombo Woodlands

Mapping Woodland Cover in the Miombo Ecosystem: A Comparison of Machine Learning Classifiers

Contact Info

Product

Resources

About